The U.S. labor market closed Q2 2026 with hiring momentum slowing, but without the sharp deterioration many had anticipated. April and May delivered stronger-than-expected payroll figures before hiring declined in June, with just 57,000 new jobs added — the softest month of the quarter and well below the threshold most economists consider healthy growth. Yet unemployment edged down to 4.2%, and wage growth remained relatively steady, reflecting a labor market that continues to show resilience even as underlying dynamics shift.
The defining story of Q2 was not whether the labor market was growing or slowing, but the widening gap between headline stability and increasingly uneven conditions across industries.
Q2 2026 By the Numbers
Unemployment: Q2 ended with the unemployment rate at 4.2%, edging down from 4.3% where it had held for most of the quarter. However, the decline was accompanied by a lower labor force participation rate, indicating that the improvement is not entirely driven by hiring activity.
Job Creation: Payroll growth followed an unpredictable path. April came in at 115,000 jobs before being revised upward to 179,000 gains. May delivered 172,000, followed by a significant drop to just 57,000 new jobs in June. Revisions to both April and May in the June report resulted in a net decrease of 74,000 jobs, tempering Q2’s overall growth picture.
Wage Growth: Annual wage growth fluctuated within a narrow band throughout the quarter—3.6% in April, falling to 3.4% in May (its lowest level since 2021) before recovering slightly to 3.5% in June.
Job Openings: After recovering to 7.15 million at the end of Q1 2026, openings rose to 7.6 million in April and held there through May — well above market expectations and the highest level since mid-2024.
Sector Standouts: Education and Health Services sustained the market across all three months. Professional and Business Services returned to growth in June (+36,000). Financial Activities recorded losses in April and May before going flat in June. Leisure and Hospitality swung sharply, surging in May (+70,000) before shedding 61,000 in June.
Top 4 Trends Shaping Q2 2026
1. The Market’s Mixed Signals
Q2’s central paradox was the disconnect between what the data showed and how business leaders felt about it. Unemployment fell, wages held steady and the economy continued to grow—yet CEO confidence fell from 59 in Q1 to 47 in Q2, tipping into negative territory for the first time this year, according to The Conference Board Measure of CEO Confidence™ survey. Nearly half of CEOs reported that economic conditions had worsened over the prior six months, and 40% expected further deterioration ahead. Hiring intent softened in parallel—31% of CEOs anticipated reducing their workforce over the next 12 months, up from 27% in Q1, while only 28% expected to add headcount.
The jobs data reflects some of that caution. June’s 57,000 payroll gain was the weakest of the quarter, revisions reduced hiring totals for earlier months, and the decline in unemployment came alongside declining labor force participation, underscoring that the headline figures tell only part of the story. The market is not deteriorating, but the gap between what the numbers show and how employers are responding appears to be widening.
2. The Load-Bearing Role of Healthcare in a Slowing Market
If Q2 had a single structural constant, it was the outsized contribution of Education and Health Services to overall job creation. Healthcare added 37,000 jobs in April and 35,000 in May, while the broader Education and Health Services sector added 69,000 in June, balancing net job gains as other industries declined. Without this sector, Q2’s employment picture would have looked considerably weaker.
The drivers behind this sustained demand show no sign of easing: an aging population, persistent shortages of clinical and allied health professionals, and roles that depend on human interaction, clinical judgment and physical dexterity. While other sectors are evaluating whether technology can absorb capacity, healthcare continues to rely heavily on people.
3. The AI Efficiency Overhang
The impact of AI on employment is not arriving as a sudden wave of displacement, but rather as a quiet, selective reconfiguration of where and whether headcount gets added. Financial Activities recorded losses in both April and May before flattening in June. Information services shed positions in April. Major employers including HSBC and Mizuho have signaled longer-term reductions in administrative roles, typically framed as reallocation toward higher-value work. A survey of 750 CFOs projected a modest but uneven 0.4% net headcount decline across 2026, with the burden falling disproportionately on office support functions.
The JOLTS data adds a further dimension. April’s surge in job openings was concentrated almost entirely in Professional and Business Services (+668,000), yet actual hiring in the sector (+7,000 jobs) remained subdued. Openings are staying on the books longer not because demand is booming, but because workers are not moving. The quits rate, at 1.9%, sits well below its pre-pandemic range, reflecting a workforce that feels it has fewer options. The result is a market that looks active on the surface but is experiencing considerably less actual movement than the headline openings figure implies.
4. The Hidden Cost of Wage Cooling
On the surface, Q2’s wage trajectory looked stable—annual growth held within a narrow 3.4–3.6% band throughout the quarter. But wage growth continuing to trail inflation means many workers’ earnings are not keeping pace with the cost of living, and sentiment data reflects that reality. Just 28% of Americans believed it was a good time to find a quality job, down from 70% in mid-2022, with college graduates particularly pessimistic at just 19%. The subdued quits rate reinforces the picture—workers are staying put, but out of caution rather than satisfaction.
Against this backdrop, the U.S. gender pay gap widened for the second consecutive year, with women now earning 81 cents for every dollar earned by men—the first back-to-back increase since the 1960s. The combination of stagnant real wages, declining worker confidence and widening pay gap is creating employee experience conditions that will increasingly test retention strategies.
What This Means for TA Leaders
Q2 delivered a market that held together without accelerating, and talent strategies must operate in the gap between stability and growth
Anchor hiring decisions in business outcomes, not market momentum. Lower CEO confidence means headcount decisions will face greater scrutiny from leadership. TA teams that can quantify the ROI of specific hires—rather than pointing to market conditions as justification—will carry more weight in H2 planning conversations.
Healthcare and specialist talent competition has no near-term ceiling. The sector that sustained Q2’s employment picture faces the same structural shortages it did entering the quarter. For any organization dependent on clinical, allied health or care-facing roles, proactive pipelines, internal mobility pathways and education partnerships are becoming prerequisites rather than differentiators.
Audit which open roles are being filled. The AI efficiency overhang isn’t showing up as layoffs—it’s showing up as headcount held open and job functions quietly redesigned. Knowing which vacancies reflect genuine demand versus roles being absorbed by productivity tools is increasingly a core workforce planning competency, not a nice-to-have.
Treat declining sentiment as a leading retention indicator. Wage growth trailing inflation, worker pessimismand a widening gender pay gap don’t generate visible attrition spikes immediately—but they erode engagement over time. Total rewards transparency, equitable pay practices and meaningful career development conversations are retention strategies now, not value commitments for better conditions later.
Q2 delivered a labor market that is slowing without breaking. For talent leaders, the strategic response is not to wait for clarity—it is to build workforce precision, pipeline depth and organizational agility to perform effectively for whatever lies ahead.
[On-Demand] Achieving Systems of Execution: Build Your Roadmap for the Future of Talent Tech
The Future of Talent Acquisition Technology Starts Today
Discover what tech-powered hiring could look like by 2030—and the practical steps you can start taking today to prepare.
Most talent acquisition teams are operating with fragmented systems, manual coordination and limited visibility. But what if hiring technology could work as a unified system that coordinates intelligently across your entire talent lifecycle? Everest Group calls this concept Systems of Execution—and it’s the future of TA technology.
This PeopleScout webinar, featuring Everest Group, will show you where talent technology is headed, help assess where your organization stands today and build a realistic 18-month roadmap to get guide your tech evolution. Join us for a session that’s part vision, part framework, part action plan.
Presenters
Rick Betori
President, PeopleScout
Rick has served as President of PeopleScout since March 2023. In his role, Rick helps strengthen client partnerships, drives innovation in talent solutions, fosters collaboration across teams and regions, and bolsters PeopleScout’s reputation as an industry leader and trusted talent partner. Rick has been with TrueBlue since 2011 and has over 25 years of proven experience driving organizational change and growth. He has an unwavering commitment to PeopleScout’s clients and employees and is passionate about our mission to connect people and work. Prior to joining PeopleScout in 2021 as Managing Director of the Americas, Rick was Senior Vice President of Operations and Innovation for TrueBlue’s PeopleReady brand and was responsible for leading the company’s service delivery operations throughout the U.S., Canada and Puerto Rico. He was instrumental in spearheading PeopleReady’s digital transformation and evolution. From 2011 to 2015, Rick served as President of former TrueBlue operating brand, StudentScout. Prior to joining TrueBlue, he served as President of Wonderlic, Inc. from 2007 to 2011 and before that as the President of an independent Management Consulting firm with a focus on business development and client engagement.
Mark Fita
VP, Global Product and Implementation, PeopleScout
As Vice President, Global Product and Implementation, Mark leads the development and execution of PeopleScout’s global go-to-market product & solution strategy as well as the global roadmap. He works closely with leaders across the globe to optimize the implementation of PeopleScout’s technology and services to serve our clients in this ever-changing market. Mark was with PeopleScout from 2010-2019 and was a vice president within our client delivery organization before leaving to join The Mom Project as their Vice President of Talent Transformation & Strategy before coming their Head of Operations. He returned to PeopleScout in 2022 as Global Vice President, Implementation. Mark specializes in talent strategy, sourcing, programmatic marketing, recruiting operations, change management, TA/HRIS/VMS technology, product & project management.
Lokesh Goyal
Vice President, Everest Group
Lokesh leads the Talent Acquisition and HRO research and advisory practice at Everest Group, specializing in permanent and contingent workforce solutions, including Recruitment Process Outsourcing (RPO), Contingent Workforce Management (CWM), employee experience and recognition solutions. In this role, [Name] advises organizations on emerging workforce trends, talent technology and the evolving future of work. Prior to joining Everest Group, Lokesh worked in consulting and advisory roles with CBRE South Asia and GMR Group, where they supported business development and commercial real estate initiatives, including a 10 million square foot land deal associated with Delhi Airport. Across more than eight years of experience in consulting, research and advisory services, Lokesh has developed deep expertise in workforce strategy, outsourcing and operational transformation. Lokesh holds an MBA from IIM Ranchi, where they served as a Senior Executive Member of the Corporate Relations & Placement Committee, and a Bachelor’s degree in Architecture & Planning from NIT Jaipur.
Artificial intelligence has fundamentally changed what’s possible in recruitment technology—and what candidates and hiring managers now expect from it. Building an effective talent acquisition tech stack in this environment means navigating a rapidly expanding landscape of tools, from foundational platforms like an ATS to AI-powered sourcing, predictive analytics, conversational AI and generative AI applications that didn’t exist three years ago.
This guide covers everything you need to build a recruitment tech stack that works—what tools belong in it, how to evaluate them, where to start and how an RPO partner can help you cut through the noise.
Discover where your organization stands on the path to orchestrated hiring.
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You Don’t Have to Figure This Out Alone
This assessment tells you where you are. But moving from where you are to where you want to be requires a plan tailored to your situation.
That’s what we’re here for.
Schedule a Technology Diagnostic with PeopleScout to:
• Assess your specific situation (not generic)
• Identify your biggest opportunities
• Get a realistic timeline and investment expectations
Artificial intelligence is no longer a feature add-on in recruiting technology—it’s the primary driver of capability differentiation across virtually every tool category. Understanding how AI applies across the stack is now a prerequisite for making good technology decisions. Here’s a brief overview of the key AI capabilities; for a comprehensive guide covering governance, regulation, bias risks and use cases by funnel stage, see our AI in Recruiting Handbook for Talent Acquisition Leaders.
Generative AI for content and communications. Gen AI tools can draft job descriptions, candidate outreach, interview questions and offer letters at speed and scale—particularly valuable for high-volume programs. All outputs require human review for quality, brand consistency and compliance before reaching candidates.
AI-powered sourcing and matching.AI-enabled candidate sourcing tools scan talent profiles, job boards, and existing talent pools to surface a pool of relevant candidates beyond active applicants—assessing skills adjacency and likelihood to engage, not just keyword matches. PeopleScout’s Affinix® platform, for example, accesses over 1.3 billion public profiles across 23 major job sites within seconds of a requisition opening.
Predictive analytics. Machine learning models identify patterns in historical hiring data to surface forward-looking insights: which sourcing channels produce the best hires, which candidates are most likely to accept an offer and where pipeline bottlenecks are emerging, moving talent acquisition from reactive reporting to proactive strategy.
Conversational AI and chatbots. AI-powered chatbots handle candidate queries, guide applicants through the process, and schedule interviews around the clock, keeping candidates moving through the funnel without increasing recruiter workload.
AI-powered screening and governance. AI-powered screening tools reduce manual resume and CV review and improve consistency, but they require careful governance. Tools used in screening and assessment are under increasing regulatory scrutiny—including New York City’s Local Law 144 and the EU AI Act—and must include bias testing, audit trails and human oversight. Establish a clear AI governance framework before deployment.
Working with a Recruitment Technology Capable RPO Partner
One of the biggest value-adds that recruitment process outsourcing (RPO) brings is experience with the latest talent technology innovations. An RPO partner can help you assess talent acquisition software to address all aspects of your recruiting process, from identifying talent to creating a more efficient candidate experience. Your provider can show you how technologies like AI and predictive analytics can boost your ability to attract top talent.
All-in-One Recruitment Technology Suite vs Integrated Systems
Any organization looking to update their recruitment tech ecosystem will enter the comprehensive suite or separate tools debate. Should we go for a system that’s already integrated or build our own?
While the idea of a plug-and-play experience, in which you easily add new functionality to your repertoire, has allure, in reality it’s easier said than done. There’s wading through the vast HR tech marketplace to find potential solutions, researching multiple providers, negotiating a different contract for each system, going through implementation, onboarding and training for each tool, managing multiple vendor relationships and so on. Then, you’ve got to get all the systems to integrate and speak to each other in order maximize the benefits of AI, automation and analytics.
On the other hand, an all-in-one talent suite eliminates the complexity and inefficiencies of pieced-together systems. For example, Affinix®, PeopleScout’s proprietary total talent suite of AI-powered tools, unites applicant tracking, candidate relationship management, recruitment marketing, digital interviewing and talent analytics. Unlike fragmented solutions that require multiple integrations and manual workarounds, a comprehensive platform offers seamless, end-to-end functionality that is both flexible and focused on user experience—both the candidate as well as the hiring manager, talent acquisition leaders and recruiters. Plus, there’s just one contract to negotiate and one vendor to manage.
Look for a suite built as modules. This gives you the best of both worlds, letting you add to your ecosystem at your own pace, with pre-integrated modules accessible in one seamless interface and a consistent user experience across applications. With Affinix, our flexible deployment options and modular approach lets you mix and match capabilities and build the perfect recruitment ecosystem for your needs.
Whether you’re going for integrating separate tools or a unified suite, your goal should be a seamless user experience, single-user login and an uninterrupted flow of data between systems to enable you to get the most from AI and analytics. Whichever approach you choose, ensure every tool in your stack complies with data privacy regulations in all regions where you recruit, including GDPR requirements on data storage, and look for ISO/IEC 27001:2022 certification as a baseline indicator of information security standards.
How to Prioritize Your Recruitment Technology Investments
With so many tool categories to consider, the question most talent leaders face isn’t “what should be in my tech stack”—it’s “where do I start?” Here’s a practical framework:
Start with an honest audit of your current state. Before evaluating new tools, map your existing recruitment process stage by stage and identify where time is being lost, where candidate drop-off is highest and where your team is doing manual work that technology could automate. This tells you where technology will have the most immediate impact and prevents you from buying solutions to problems you don’t actually have.
Prioritize your ATS if you don’t have one or if yours isn’t working for you. The ATS is the foundation everything else builds on. If your data is fragmented, your workflows are inconsistent or your team is working around your ATS rather than with it, no amount of additional tooling will fix the underlying problem. Get the foundation right before layering on capability.
Sequence investments around your biggest bottleneck. If your biggest problem is sourcing pipeline volume, AI-powered sourcing and CRM should come next. If it’s candidate drop-off mid-funnel, focus on communication automation and scheduling tools. If it’s quality of hire, prioritize assessment. Trying to transform everything at once is both expensive and disruptive. A phased approach delivers faster ROI and is easier for your team to absorb.
Don’t underestimate implementation and adoption. The most common reason recruiting technology fails to deliver its promised value isn’t the technology itself, its insufficient implementation planning, inadequate training and low hiring manager adoption. Factor these costs and timelines into your evaluation and look for vendors with strong implementation support and a track record of successful deployments in organizations like yours.
Consider working with an RPO partner as your technology guide. Evaluating, implementing and optimizing a recruiting tech stack is time-consuming, technically complex and requires staying current with a landscape that changes constantly. An RPO partner with deep technology expertise—and experience running these tools across multiple client programs—can compress your time to value significantly, help you avoid costly mistakes and ensure your technology investments actually get used. Learn more about how PeopleScout approaches recruitment technology.
Now that we’ve covered some important things to keep in mind when evaluating software, here are some solutions and features that make up the ultimate recruitment technology ecosystem.
Applicant Tracking System (ATS)
An ATS is the foundation upon which you will build your tech stack. This platform acts as the system of record for your talent acquisition program. As a repository for applicants, it helps you manage the hiring process for all your requisitions and satisfies compliance requirements for record keeping.
Look for a platform that lets you put the candidate in the driver’s seat by letting them self-progress through the process with a mobile-optimized, digital experience. A system with configurable workflows will let you streamline everything from candidate screening, scoring, assessments, reference and background checks, interview scheduling and sending SMS and email communications. Not only does this boost recruitment speed for the candidate, but it also reduces the workload for hiring managers.
Affinix’s Hiring Manager Dashboard provides access to a real-time dashboard via desktop or mobile device. Hiring managers can open and approve requisitions for automated job posting, review applicant shortlists, check on candidate progress, schedule and reschedule interviews, submit and manage candidate feedback, and create and approve offers—whether they’re at their desk, on the warehouse floor or supervising from the shop floor.
AI-Powered Sourcing & Matching
Affinix AI-enabled sourcing accesses over 1.3 billion public profiles across 23 of the top global job sites within seconds of a requisition opening. It then matches skills based on your job requirements to surface a pool of the best candidates. It can also pull in passive talent from external databases or from your existing talent database to support direct sourcing, internal mobility and redeployment.
Candidate Relationship Management (CRM) Software
A CRM helps you to nurture candidates through automated SMS/text and email campaigns and more—whether to keep them informed during an active application process or to keep them warm until a suitable position opens up. Create talent pools based on geographies, job type, skills and more and personalize communication to the candidate for a more engaging experience.
Leading CRM platforms can supercharge your talent pipeline by creating a multi-channel approach to finding talent. For example, Affinix CRM includes a drag-and-drop career site builder for both external and internal career sites and employee referral portals. In addition, it has built-in integrations with all major job boards, including LinkedIn and Indeed, as well as a job feed gateway to support connections with niche sites. Combined with our AI-powered sourcing capabilities, you can create the ultimate pool of best-fit talent, reducing time-to-hire, maximizing your recruitment marketing budget and boosting ROI.
Direct Sourcing Technology
With the growth of the gig economy and blurring of lines between full-time and temporary employment, workers who traditionally seek full-time employment are increasingly willing to take up temporary placements—and vice versa. Organizations that create and nurture blended talent pools of both permanent and contingent workers through direct sourcing technology can bypass traditional recruitment channels and connect with top talent in a more personalized and efficient manner.
Look for solutions that offer AI-powered matching capabilities, which can dramatically improve the speed and accuracy of candidate selection. Affinix uses AI to form combined talent pools from external sources as well as talent rediscovery—whether they’re new to you, previous applicants or contractors, individuals who have filled out an expression of interest form for the role or silver/bronze medalists from previous requisitions—to engage or re-engage talent with relevant skills and experience.
Recruiting chatbots are available 24/7 to handle candidate queries, guide applicants through the process, complete initial screening steps and schedule interviews, reducing the administrative burden on recruiters and hiring managers. In high-volume contexts this is particularly valuable, keeping candidates moving through the funnel outside working hours and reducing drop-off. For more on how conversational AI fits into your stack, see the AI section above.
Digital Interview Management System
Modern candidates expect the hiring experience to be personal, quick and convenient. A dedicated digital interview solution can help you quickly hire the essential talent you need, no matter where they live or how the demand for remote working changes. Rather than just leveraging video meeting tools, a dedicated digital interview tool offers multiple options for virtual interviews, including text interviews, recorded video interviews or live interviews. Self-scheduling tools and automated candidate advancement tools help dramatically boost retention and connection.
Assessment Tools
Digital assessment solutions evaluate candidates on aptitude, personality and skills, helping you hire the highest quality talent. Platforms may let you create a custom assessment or choose from a suite of pre-built options. Assessments range from code evaluations for software development roles to language aptitude tests—on-demand or live. Make sure you look at the assessment experience from both the candidate and hiring manager experience before committing to a tool.
Integration is important for assessment solutions as it facilitates automated workflows, so candidates get notified of next steps via email or text based on their results.
With data flowing across your integrated systems, a recruitment analytics platform offers you a single source of truth for understanding your end-to-end recruitment process. Whether you’re hoping to track time-to-fill, DE&I efforts or overall talent acquisition performance, these tools will satisfy your C-suite’s hunger for insights into your recruitment program.
Look for a tool with interactive dashboards that make it easy to visually monitor trends and slice and dice the data to identify areas of opportunity—and gain the full value of your recruitment data. Leading analytics tools connect real-time recruitment analytics and talent market intelligence while pulling in business intelligence from across your business to elevate your talent strategy measure talent acquisition performance against organizational goals.
For more on how predictive analytics and AI-driven insights apply across your recruiting tech stack, see the AI section above.
Onboarding Software
The new hire onboarding process is an essential element of creating a positive employee experience. Not only should it get new employees up-to-speed at your company and in their role, there’s also crucial paperwork steps for payroll, taxes, benefits and more.
Digital onboarding software automates and supports the onboarding process—especially important for remote workers. Affinix lets candidates view, digitally sign and accept their offers quickly from a personalized online portal. Hiring managers can craft and customize digital offer letters, ensuring that offers are fast, compliant and aligned with company policies.
For your HR staff, it reduces administrative effort by automating repetitive onboarding tasks like sending new hire reminders, tracking document completion and updating systems. Make sure you consider integration with your HRIS and payroll systems to eliminate manual data entry and reduce errors.
Internal Mobility Software
It’s no secret how important internal mobility can be for retaining employees and saving on sourcing costs. The good news is that a whopping 70% of employees would explore opportunities within their current organization before looking externally, according to our research, The Skills Crisis Countdown.
An internal mobility platform should allow you to share vacancies internally and give existing employees the opportunity to submit an expression of interest form to be added to the talent pool. Look for a tool that offers hiring managers a seamless experience by letting you post to both internal and public job boards. AI-powered matching and search should extend to existing employees, helping you identify internal candidates with relevant skills. Hiring managers should be able to view internal and external candidates together in one place, with internal candidates uniquely identified. The system should feature automated invitation emails to qualified internal candidates to speed up time-to-fill and reduce administrative burden.
Building Your Recruiting Tech Stack: The Bottom Line
The recruitment technology landscape will keep evolving. AI capabilities that feel cutting-edge today will be table stakes within two years. The organizations that build durable competitive advantage through technology aren’t necessarily the ones who adopt every new tool first. They’re the ones who build a coherent, well-integrated stack around a clear understanding of their hiring challenges, invest properly in implementation and adoption and stay close enough to the market to know when to evolve.
An RPO partner with genuine technology expertise is one of the most effective ways to achieve this—bringing the tools, the implementation experience and the ongoing market intelligence that most talent acquisition teams can’t maintain in-house.
A well-designed early careers program is not just a nice-to-have—it’s a strategic imperative. As organizations vie for top Gen Z talent, those with robust, thoughtfully structured programs gain a significant edge. This article delves into the crucial elements of building a successful early careers initiative, and how engaging an RPO can help you structure your overall program and craft an effective early careers recruitment strategy.
The following guide will explore how to create a program that not only attracts bright, ambitious graduates but also nurtures their growth, aligns with your business objectives, and builds a pipeline of future leaders. From rotational schemes and mentorship opportunities to innovative early careers recruitment tactics, we’ll cover the essential components of how an RPO partner can set your early careers program apart.
The Impact of RPO for a Strong Early Careers Program
Establishing a robust early careers program can be a complex undertaking, but partnering with an experienced recruitment process outsourcing (RPO) provider can significantly streamline the process. An RPO partner brings specialized expertise in designing and implementing comprehensive early careers initiatives, from structuring rotational schemes and mentorship programs to crafting tailored development pathways. They can help align your program with current industry best practices, ensuring it appeals to Gen Z talent while meeting your organization’s strategic objectives.
Moreover, an RPO partner can revolutionize your early careers recruitment strategy, leveraging cutting-edge technologies and innovative approaches to attract top young talent. They can manage the entire recruitment lifecycle, from employer branding and candidate sourcing to assessment and onboarding, allowing you to focus on core business activities. By entrusting your early careers program to an RPO specialist, you’re not just filling entry-level positions—you’re investing in a scalable, future-proof talent acquisition strategy that will drive long-term organizational success and build a strong pipeline of future leaders.
Considerations for Your Early Careers Program
Before you can start thinking about how to recruit this dynamic generation, you need to think about how to structure your early careers program. Your RPO provider will guide you through some of the questions below as they help you create a blueprint for building your early careers program.
Early Careers Program Structure
What are the goals and objectives for your early careers program? Do you want to develop future leaders, or are you trying to find talent with particular skills?
Have you created an early careers success profile? Who is the ideal early careers hire that will meet your program objectives and fit your company culture? What skills and capabilities do they need? What behaviors should they exhibit?
What are your diversity targets for the early careers program?
What will the program look like? Will early careers hires join a particular team or department? Or will they go through rotations with various departments before specializing? How long will each rotation last? What will they do during each rotation?
How long is your early careers program? It could be one to three years, or even longer, depending on your objectives.
Will you hire continuously for your early careers program or bring in annual or semi-annual cohorts? How big is each cohort? You’ll need to balance your program objectives with providing individualized attention and fostering connections.
Do you have a dedicated early careers program coordinator? What about an executive sponsor or steering committee?
Work Environment & Support Systems
Where will your early careers talent work? Are they required to work from the office? Or are you open to hybrid working options to offer flexibility?
How will you ensure retention of early careers talent? Mentoring programs that pair early careers talent with experienced professionals and buddy systems for peer-to-peer support are two ways to foster engagement, inclusion and community.
Development Opportunities & Career Progression
What training will your early careers talent need to be successful in the short and long term? Are these materials already created or do you need to develop them? Does the training take place in person, virtually or a hybrid? Do you need to invest in learning and development (L&D) technology?
How will you measure the performance of your early careers talent? Gen Z loves feedback and will want to have career development discussions early and often. Your RPO partner can help ensure your managers and leaders are prepared with performance criteria and coaching frameworks.
What is the career path for your emerging talent? Is there one set path for your program, or will it depend on the individual? Clearly outline potential career paths within the organization and ensure early careers talent know how to find opportunities for internal mobility once they’ve completed the program.
Remember, an RPO partner will help you create a program that develops talent who align with your organization’s culture and strategic objectives. Plus, they will regularly review and adjust your program to ensure it remains relevant and effective in training and retaining top talent.
Structuring Your Early Careers Recruitment Campaigns
Once you know what your early careers program will look like, your RPO partner will then help you structure the recruitment process. Rolling and block campaigns are two different approaches to structuring early careers recruitment efforts. Both approaches have their merits, and some organizations use a hybrid model. The choice depends on factors like industry norms, organizational needs and the types of roles being filled.
Rolling Campaigns
In a rolling campaign, you recruit early careers talent throughout the year. Applications are accepted continuously, and candidates are evaluated as they apply. This means rolling campaigns can be more resource-intensive to manage and may make it harder to compare candidates directly.
Benefits & Considerations for Rolling Campaigns:
Flexibility for both employers and candidates
Ability to fill positions as needs arise
Potentially shorter time-to-hire due to quicker responses and hiring decisions, which can keep candidates engaged
Opportunity to capture top talent year-round
Continuous recruitment aligns well with ongoing social media strategies, allowing for regular content and engagement opportunities
Fewer applicants at a time means you can offer a more personalized recruitment experience, which Gen Z appreciates
Block or Cohort Campaigns
Block campaigns, also known as cohort recruiting, involve recruiting during a specific timeframe, often aligned with the academic calendar. For example, you might have an intern recruitment campaign in the spring to hire a cohort of summer interns, or you might hire in the spring to capture students as they graduate. Block campaigns are common in industries with predictable hiring needs and can be more efficient for processing large numbers of entry-level positions.
Benefits & Considerations for Cohorts
Set application deadlines and structured hiring cycles appeal to Gen Z’s desire for transparency and help them plan accordingly
Great for internships and graduate programs that follow the academic calendar
Creates a sense of urgency and competition among candidates inspiring them to put their best foot forward
Allows for batch processing of applications making it easier to manage large volumes all at once
Allows for group assessments centers or virtual events, which can showcase your company culture and allow candidates to interact with peers
Can be perceived as fairer and more inclusive, which are important values for Gen Z
Hybrid Approach
Consider a hybrid model that combines elements of both rolling recruiting and cohort campaigns. It might look something like:
Main recruitment drives (cohorts) for graduate programs or internships
Year-round opportunities (rolling) for specific roles or departments
Benefits & Considerations of Hybrid Early Careers Recruitment
Attracts a wider range of candidates, including those who may not align with specific cohort timelines
May require additional resources and careful planning to manage both rolling and cohort recruitment simultaneously
Can help distribute the recruitment workload throughout the year, potentially reducing stress on internal teams during peak periods
May create challenges ensuring consistent assessment and selection processes across both recruitment methods
May complicate budget forecasting for recruitment and training
RPO & Early Careers Programs
By partnering with an RPO, organizations can leverage their expertise to design comprehensive early careers programs that align with their strategic goals and resonate with Gen Z candidates. From innovative recruitment strategies to structured development paths, these programs offer a multifaceted approach to nurturing young professionals. Companies that invest in robust early careers initiatives will find themselves well-positioned to build a dynamic, skilled workforce capable of driving future success.
Talent acquisition is at an inflection point. As hiring models grow more complex and business needs evolve at an accelerating pace, most organizations recognize that fragmented tools and manual coordination are slowing them down. Yet the path forward isn’t always clear. Systems of Execution (SoE) represent what Everest Group deems the next evolution in talent acquisition technology—but they’re not a destination you reach overnight. They’re a journey that requires intentional, incremental progress.
If you’re a TA leader wondering where to start, here are practical steps you can take today to begin moving your organization toward more connected, intelligent and execution-driven hiring.
Start with an Honest Assessment
Before investing in new technology or processes, understand where you stand. Most enterprises today remain in what we call the “Foundational” stage, where talent acquisition systems operate in silos and execution depends heavily on manual coordination. It’s important to understand where your gaps are. This clarity will help you prioritize improvements that actually move the needle.
Action step:
Conduct a readiness assessment across the five key dimensions from the Everest Group research:
Data flow and integration: Can your systems share candidate information in real time, or do recruiters manually transfer data between tools?
Process reliability: Do your workflows run consistently, or do they require constant frequent human intervention to keep moving?
Decision logic: Are your routing and escalation rules clearly defined and automated, or do recruiters make these decisions ad hoc?
Workforce capability: Can your team work effectively alongside automated workflows, understanding when to intervene and when to let systems run?
Governance maturity: Do you have clear ownership, escalation paths and oversight mechanisms in place?
Is your talent tech stack future-ready?
Discover where your organization stands on the path to orchestrated hiring.
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Your Maturity Stage Is
What You Do Well
Where To Focus Next
You Don’t Have to Figure This Out Alone
This assessment tells you where you are. But moving from where you are to where you want to be requires a plan tailored to your situation.
That’s what we’re here for.
Schedule a Technology Diagnostic with PeopleScout to:
• Assess your specific situation (not generic)
• Identify your biggest opportunities
• Get a realistic timeline and investment expectations
SoE cannot function without clean, connected data. If your ATS, CRM, HRIS and other systems don’t share reliable information, no amount of automation or AI will help. This is an essential step toward frictionless execution.
Action steps:
Audit your current data landscape. Identify which systems hold critical candidate and requisition data, and map how (or whether) they currently connect.
Establish clean identifiers across systems so candidate records, job requisitions and hiring manager information can be matched reliably.
Implement data governance protocols that define who owns different data elements, how they’re maintained and who can access them.
Address data quality issues systematically—deduplicate records, standardize formats and establish validation rules at the point of entry.
Connect Before You Orchestrate
Many organizations confuse integration with orchestration. Connecting your ATS to your interview scheduling tool enables data flow, but it doesn’t coordinate decisions or trigger intelligent actions across your entire workflow. True orchestration interprets context and actively routes decisions and actions based on real-time conditions.
Action steps:
Start by establishing basic integrations between your core systems. If your ATS and HRIS don’t communicate seamlessly, begin there.
Look for workflow bottlenecks where handoffs consistently break down—between recruiters and hiring managers, between screening and interviewing, between offer approval and onboarding.
Implement integrations that eliminate these friction points but recognize this is just the first step toward true orchestration.
Document your current workflows end to end so you can identify where automation would have the greatest impact.
Automate Strategically, Not Universally
Automation is essential to SoE, but not all automation moves you toward execution-led models. Task-level automation—like auto-scheduling interviews or RPA rules—is helpful, but impact is limited. True SoE require adaptive workflows that adjust to changing inputs, learn from outcomes and route decisions intelligently across the full hiring lifecycle.
Action steps:
Identify multistep workflows where delays and errors frequently occur. These are your best candidates for orchestrated automation.
Start with workflows that have clear routing rules and predictable decision points—requisition approvals, candidate screening based on defined criteria, or background check initiation.
Build feedback loops so workflows can learn and improve. If certain candidates consistently advance past screening but fall short in interviews, your screening criteria may need adjustment.
Resist the temptation to automate everything immediately. Focus on workflows where consistent execution creates measurable value.
Prepare Your Workforce for the Shift
Technology alone won’t create an execution-led talent acquisition function. Your recruiters, hiring managers and HR teams must learn how to work alongside automated workflows—including knowing when human intervention is required for exception handling, judgment calls and ensuring fair, compliant execution.
Clarify decision rights. Who can override an automated routing decision? Who escalates exceptions? What requires human review?
Build confidence through transparency. Help your team understand how automated decisions are made so they trust the system and know when to question it.
Create feedback mechanisms where recruiters can flag when automation isn’t working as intended. Their insights will help you refine workflows over time.
Establish Governance Before Complexity Grows
As automation and AI become more embedded in your TA processes, governance becomes critical. Without clear ownership, escalation paths and oversight, systems can fail in ways that negatively impact candidates, violate compliance requirements or erode trust.
Action steps:
Define clear ownership for each element of your TA technology stack and the workflows they support.
Establish escalation protocols for when automated workflows encounter exceptions or edge cases.
Implement monitoring and oversight mechanisms so you can identify when workflows aren’t performing as expected.
Build fairness and compliance checks into decision-making stages, particularly around screening, assessment and offer decisions. As you embed AI and agentic decisioning, responsible AI practices become non-negotiable.
Consider Partner Support for Complex Capabilities
Many organizations lack the internal expertise to manage complex integrations, implement policies or maintain adaptive workflow automation at scale. Partners with operational expertise can accelerate progress while reducing implementation risk. At PeopleScout, our proprietary Affinix® technology and deep talent advisory expertise enables us to help organizations advance toward execution-led models while maintaining the human connection that matters in hiring.
Action steps:
Evaluate which capabilities you can build and maintain internally versus which require external support.
Look for partners who understand both TA operations and the technical architecture required to support execution-led models.
Ensure any partner engagement includes knowledge transfer, so your internal team builds capability over time.
Set Realistic Expectations
The most important tactical step may be managing expectations—both your own and those of senior leadership. SoE represent a long-term evolution, not an immediately attainable end state. Most organizations will progress gradually through foundational improvements before reaching truly orchestrated or adaptive stages.
Action steps:
Frame your SoE journey as incremental progress across multiple dimensions rather than a single transformation initiative.
Communicate transparently about where your organization stands and what progress looks like at each stage.
Celebrate wins along the way—improved data quality, reduced time-to-hire for specific roles, a more consistent candidate experience and more.
Resist pressure to deploy advanced capabilities before foundational elements are in place.
Moving Forward: Know Where You Stand
PeopleScout is proud to present Everest Group’s comprehensive report, Systems of Execution: The Next Evolution in Talent Acquisition Technology. It includes a detailed SoE maturity assessment framework, with diagnostic questions across all key readiness dimensions. Download the full report to:
Evaluate your current position on the four-stage maturity curve (Foundational, Developing, Orchestrated or Adaptive)
Access the complete readiness assessment with targeted questions for each dimension
Understand the specific capabilities required to progress from one stage to the next
Learn about common misconceptions that prevent organizations from advancing toward SoE
Explore detailed use cases showing how SoE will transform specific TA processes
Fragmented data isn’t a new challenge for recruitment teams—but as hiring models grow more complex and business needs evolve, the ability to execute seamlessly is increasingly critical. When data doesn’t flow easily between systems or visibility into the hiring process is limited, decision-making can suffer. But these challenges often point to something deeper than technology alone. According to Everest Group’s recent research,Systems of Execution: The Next Evolution in Talent Acquisition Technology, data architecture is the single biggest barrier preventing organizations from achieving coordinated, real-time execution across their recruitment lifecycle.
Integration Is Just the Beginning
Most organizations think they’ve solved their data issues when they implement integrations between platforms. Your ATS connects to your HRIS. Your assessment tool feeds results to your ATS. Your interview scheduling platform syncs with your calendar.
But integration and orchestration are fundamentally different things.
Integration means systems can exchange information. When a candidate applies, their information flows from your careers site into your ATS. When you extend an offer, that data moves into your HRIS. Information travels from Point A to Point B.
Orchestration means systems coordinate actions based on shared context. When a candidate applies, the system evaluates their qualifications against all open roles (not just the one they applied to), checks for duplicate records across platforms, initiates appropriate screening workflows, notifies relevant recruiters based on workload and expertise and begins building a profile that grows richer with each interaction.
The difference? Integration moves data. Orchestration supports decisions and drives action.
Is your talent tech stack future-ready?
Discover where your organization stands on the path to orchestrated hiring.
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Complete the form to access your report instantly.
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Your Maturity Stage Is
What You Do Well
Where To Focus Next
You Don’t Have to Figure This Out Alone
This assessment tells you where you are. But moving from where you are to where you want to be requires a plan tailored to your situation.
That’s what we’re here for.
Schedule a Technology Diagnostic with PeopleScout to:
• Assess your specific situation (not generic)
• Identify your biggest opportunities
• Get a realistic timeline and investment expectations
Exploring the Five Layers of SoE Data Architecture
Everest Group’s research framework reveals that effective orchestration requires five interconnected architectural layers.
1. Data Integration Layer
This is where most organizations stop—and where the real work actually begins. The data integration layer doesn’t just connect systems; it:
Aggregates data from every source in real time
Governs data quality, privacy and security
Resolves conflicts when systems disagree
Maintains a single source of truth that all other layers can leverage
Without reliable data connectivity and governance, nothing within the SoE architecture can function effectively. The data integration layer is the foundation upon which all intelligent execution depends.
2. Platform and Ecosystem Layer
Built on top of clean, integrated data, this layer ensures true interoperability. In it, systems understand context—rather than just share data. For example, when your ATS identifies a candidate as “qualified,” your assessment platform can interpret what that means in terms of specific competencies and evaluation criteria.
3. Specialized Agents Layer
With reliable data and interoperable platforms in place, AI agents can perform sophisticated tasks. A sourcing agent does more than search for keywords. It understands role requirements, knows which channels have historically produced successful hires for similar roles and can adapt its strategy based on results. But agents can only operate this intelligently when they have access to comprehensive, accurate data across the entire ecosystem. Without orchestrated data, even sophisticated AI remains limited.
4. Orchestration Layer
The orchestration layer interprets context from all your data sources and routes workflows dynamically. It can determine things like:
This candidate’s skills match Role A better than Role B, even though they applied to Role B
This hiring manager is overloaded, so route this requisition to their backup
This candidate has been waiting too long for feedback, so escalate to ensure response
This offer is outside normal parameters, so trigger additional approval workflow
None of these intelligent actions are possible without clean, well-governed data flowing through the layers beneath. This is orchestration in action.
5. Experience Layer
In the final layer, a unified interface presents the right information to each stakeholder at the right time. Candidates see a seamless experience even though their journey touches dozens of backend systems. Recruiters access everything they need without logging into multiple platforms. Hiring managers get real-time visibility, with insights surfaced clearly and in context.
The Path Forward
Reading about five-layer architectures and sophisticated orchestration might seem overwhelming, especially if you’re a mid-market organization. The good news? You don’t need an enterprise budget to achieve Systems of Execution.
Start by thinking strategically about your data architecture:
Build your data foundation: Before adding more tools, ensure your existing systems can share reliable data. This might mean cleaning up duplicate records, standardizing field definitions or implementing a master data management approach.
Prioritize interoperability over features: When evaluating new tools, ask: “How well does this interact with our existing systems?” A feature-rich platform that creates another data silo is worse than a simpler tool that orchestrates well with what you have.
Think modularly: You don’t need to replace everything. Look for solutions that can add orchestration capabilities to your existing tech stack rather than requiring complete replacement. At PeopleScout, our proprietary Affinix® technology is designed with this modular approach—seamlessly coordinating with your existing systems without forcing wholesale platform replacement.
Invest in the orchestration layer: The highest ROI often comes from middleware or orchestration platforms that sit between your systems and coordinate their actions, rather than from replacing individual point solutions.
Orchestrated Data in Action
When you move from data silos to orchestrated ecosystems, breakthrough capabilities become possible:
Real-time candidate data quality: Instead of discovering duplicate records weeks later, the system identifies and merges them instantly. When a candidate updates their phone number in one interaction, every system reflects that change immediately.
Intelligent workflow routing: The system knows that this requisition typically takes 47 days to fill, sources best from LinkedIn and employee referrals, requires three interview rounds and often gets pushback on compensation. It can configure and route the entire workflow accordingly—and adapt when conditions change.
Predictive insights: With clean data flowing across systems, you can finally answer questions like “Which combination of sourcing channels and screening methods produces our best long-term hires?” or “Where do candidates typically drop out, and why?”
Coordinated execution: When a candidate accepts an offer, orchestrated data triggers workflows across every relevant system—IT provisions access, facilities orders equipment, the learning management system enrolls them in onboarding, their manager receives an introduction packet and the payroll system prepares for their first paycheck.
Download the Complete Framework
Here, we explored the data foundation of Systems of Execution—but there’s much more in Everest Group’s complete research, which PeopleScout is pleased to support. The full report includes:
Detailed readiness assessment for each maturity stage
Technology selection criteria for orchestration platforms
Implementation roadmaps and timeline expectations
Diagnostic questions to identify where you stand across all five architectural layers
Real-world use cases showing how data orchestration transforms TA processes
For years, talent acquisition teams have been coordinating across dozens of disconnected tools, manually routing candidates between systems and spending more time on administrative tasks than strategic hiring. The typical recruitment tech stack includes an Applicant Tracking System (ATS) and maybe a CRM, sourcing tools, assessment platforms or interview scheduling software. Each works independently and getting them to talk to each other requires significant time and investment.
As hiring models grow more complex and business needs evolve at an accelerating pace, the need is growing for technology that supports real-time visibility, connected workflows and smarter decision-making across the hiring process. Traditional systems like ATS, Human Resources Information System (HRIS) and Human Capital Management (HCM) platforms were originally designed to record data, and according to new research from Everest Group, are now struggling to keep pace with the agility and intelligence required for modern hiring.
The opportunity ahead is not simply to add more tools, but to enable frictionless execution.
Is your talent tech stack future-ready?
Discover where your organization stands on the path to orchestrated hiring.
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Complete the form to access your report instantly.
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Your Maturity Stage Is
What You Do Well
Where To Focus Next
You Don’t Have to Figure This Out Alone
This assessment tells you where you are. But moving from where you are to where you want to be requires a plan tailored to your situation.
That’s what we’re here for.
Schedule a Technology Diagnostic with PeopleScout to:
• Assess your specific situation (not generic)
• Identify your biggest opportunities
• Get a realistic timeline and investment expectations
Systems of Execution (SoE) represent a vision for how recruitment technology will evolve. Rather than treating each platform as an isolated tool, Systems of Execution (SoE) are emerging to unify technology systems and connect people, data and the various tools and point solutions used in talent acquisition. Rather than replacing existing platforms, SoE operate within and across your current ATS, HRIS, CRM, sourcing tools and assessment platforms to coordinate actions, enable real-time visibility and convert insights into actions. By bringing together data from multiple sources, applying intelligence to interpret it and then triggering both automated and human-led actions, organizations will be better positioned to respond with confidence and precision as conditions evolve.
While this model signals the future direction of talent acquisition, most organizations remain in the foundational stage where systems operate largely in silos with heavy reliance on manual coordination. Adoption is likely to progress incrementally based on data maturity, operating complexity and business priorities. The concept of Systems of Execution reflects a more connected future—where people, data and workflows operate in greater alignment, and where orchestration plays a central role in turning insight into action.
The Everest Group framework identifies three core elements that will distinguish SoE from traditional recruitment technology:
Automation will handle repetitive tasks without human intervention—not just scheduling interviews, but intelligently routing candidates based on their qualifications, automatically updating multiple systems simultaneously and triggering next-step actions across platforms.
Analytics will provide real-time insights that inform decisions, helping you understand which sourcing channels produce the best candidates, identify bottlenecks in your hiring process and predict which candidates are most likely to accept offers.
AI Agents will act as specialized workers within your ecosystem. This could be an AI-powered sourcing agent that identifies and engages candidates, a screening agent that evaluates qualifications against requirements or a scheduling agent that coordinates across multiple calendars and time zones.
Together, these three elements—powered by intelligent orchestration—will create an operating model where systems do more than just store information or facilitate single tasks. Instead, they interpret context, guide decisions and execute complex, multi-step workflows that adapt in real time to changing conditions. This orchestration layer separates true Systems of Execution from point solutions and basic automation.
The Five Layers of SoE Architecture
Everest Group reveals that effective Systems of Execution will be built on five interconnected layers:
The Experience Layer will provide a unified interface for all stakeholders, eliminating the need for recruiters and hiring managers to log into multiple systems and creating consistent experiences for candidates across touchpoints.
The Orchestration Layer will interpret context and route workflows dynamically. More than mere integration, when a candidate completes an assessment, the orchestration layer will determine what happens next based on factors like their scores, the urgency of the role and the hiring manager’s availability.
Specialized Agents will perform specific tasks like sourcing, screening and scheduling. These won’t be static automation rules. These AI agents will adapt their actions based on outcomes and learn from each interaction.
The Platform and Ecosystem Layer will ensure connection between your ATS, HRIS, CRM, assessment tools and learning systems. This is where integration happens, which enables interoperability between systems.
The Data Integration Layer will aggregate and govern data, enabling real-time decision-making and continuous learning. It will ensure that when candidate information or activities are updated in one system, that change propagates everywhere instantly.
Why This Vision Matters Now
As trusted talent advisors to organizations globally, we spend much of our time looking ahead, anticipating how market dynamics, workforce expectations and technology are converging. In our conversations with talent leaders who are seeking guidance on their technology strategies, a common theme emerges: fragmented systems, manual coordination and limited visibility make it harder to adapt new hiring strategies as conditions change. Today’s hiring teams struggle with:
Fragmented candidate experiences: Candidates receive duplicate emails, get asked for information they’ve already provided and fall into black holes when separate systems don’t communicate.
Inconsistent execution: The same requisition handled by different recruiters produces wildly different outcomes because processes aren’t standardized or enforced.
Limited visibility: Leaders can’t get solid answers to basic questions like “Where are our bottlenecks?” or “Which sources produce our best hires?”
Slow hiring timelines: Manual coordination between systems adds days or weeks to every hire, which often means losing top candidates to the competition. Systems of Execution offer a path forward by creating an environment where workflows are connected, actions are coordinated and decisions are informed by real-time data.
Common Misconceptions About SoE
As organizations begin evaluating Systems of Execution, several misconceptions can limit progress. Understanding these distinctions is essential:
Integration is not the same as orchestration. Connecting systems enables data flow, but orchestration actively interprets that data and coordinates intelligent decisions and actions across workflows.
RPA or workflow triggers do not equal SoE. Task-level automation cannot replace adaptive, intelligent, end-to-end execution that responds to changing conditions.
SoE do not remove the need for humans. Human oversight, judgment and exception handling remain essential throughout the hiring process. True SoE enhance human capability rather than eliminate it.
Implementing AI tools does not equal SoE readiness. AI becomes part of SoE only when embedded in connected, context-aware workflows that span the full hiring lifecycle.
SoE are not standalone products. SoE are operating models built across systems, data, processes and governance—not plug-and-play tools that deliver value in isolation.
Recognizing these distinctions will help organizations set realistic expectations and understand what’s truly required to progress along the SoE journey.
What SoE Could Help You Achieve
The Everest Group report highlights several breakthrough capabilities that will become possible as organizations move toward true Systems of Execution:
Requisition activation could happen automatically. When a hiring manager approves a requisition, the system would immediately post to optimized channels, activate sourcing agents and begin building a candidate pipeline without any recruiter intervention.
Candidate data quality could be maintained in real time. Profiles would be validated against multiple sources, duplicate records identified and merged automatically, and information kept synchronized across every platform.
Evaluation and progression management could become intelligent. The system would verify that candidates have completed required steps, check that they meet progression criteria and automatically trigger downstream tasks when they’re ready to advance.
Offer accuracy could be assured through automated compliance checks. Offer letters would update dynamically based on negotiated terms, and the system would enforce hiring policies and approval requirements without manual oversight.
Onboarding could begin before day one. As soon as a candidate accepts, workflows would initiate equipment ordering, system access provisioning, team introductions and personalized training plans.
What This Means for Your Recruitment Strategy Now
Advancing toward SoE requires a structured and realistic view of your current operations, recognizing that SoE represent a longer-term evolution rather than an immediately attainable end state. You won’t achieve true Systems of Execution overnight—and that’s okay.
Across most enterprises, talent acquisition functions continue to operate within fragmented execution models, even when advanced tools are in place. Organizations typically deploy capabilities such as automation, analytics and AI within individual activities rather than coordinating them across the full lifecycle, reinforcing reliance on manual oversight and point optimization. As a result, the higher levels of SoE remain aspirational for the market, dependent on deeper integration, operating model change and sustained maturity that extend well beyond most current environments.
The good news? The path toward Systems of Execution is incremental, starting with your biggest pain points and building foundational capabilities over time. At PeopleScout, we’re committed to supporting this evolution. Our proprietary Affinix® technology enables us to help clients advance toward more connected execution while keeping human connection at the center of the hiring experience.
Download the Full Report
The maturity indicators and diagnostic questions outlined in the full Systems of Execution report will help you identify where you stand today across dimensions such as data flow, process reliability, decision logic and governance. Understanding your current stage—whether Foundational, Developing, Orchestrated or Adaptive—is the first step toward realistic progress.
The complete report includes:
The limitations of legacy talent acquisition systems and why organizations now require execution-led operating models
What Systems of Execution are, the core layers that enable them and the vital success factors required for them to operate effectively
The art of the possible and the benefits unlocked by SoE-enabled models
How enterprises can assess their current state, understand where most organizations stand today, and identify the capabilities required to progress toward SoE-enabled recruitment functions
Systems of Execution: The Next Evolution in Talent Acquisition Technology
At PeopleScout, we spend a great deal of time looking ahead—anticipating how market dynamics, technology and workforce expectations are evolving, and designing solutions that help employers respond as challenges arise.
In conversations with talent leaders, a recurring theme emerges: fragmented workflows, manual coordination and limited visibility make it harder to adapt new hiring strategies as conditions change.
The path forward isn’t simply to add more tools. It’s to strengthen execution.
Introducing Systems of Execution
Systems of Execution is a model that seamlessly orchestrates people, data and workflows— enabling organizations to translate insight into action with greater speed, confidence and precision. Created by leading research firm Everest Group, this research will help you:
Explore what lies ahead as talent acquisition technology evolves beyond systems of record and engagement toward more connected execution
Assess readiness over time by understanding where most organizations stand today and the maturity required to progress
Identify foundational capabilities needed to support more connected and resilient hiring ecosystems
Navigate transformation with a practical perspective grounded in real market dynamics
This research offers clarity for the road ahead—grounded in market realities, focused on practical readiness, and designed to help you navigate transformation with confidence.
Complete the form to get your complimentary copy of Systems of Execution: The Next Evolution in Talent Acquisition Technology.
Application volumes are up—significantly, in many industries. The combination of easier online applications, AI-assisted CV and résumé writing and increased job market uncertainty has reshaped hiring at scale. LinkedIn applications have surged more than 45% year-over-year, with roughly 11,000 submitted every minute on that platform alone. The effect on individual roles is dramatic: positions that once attracted 200 applicants now routinely see 2,000—and AI-assisted applications continue to muddy the waters.
According to the 2025 AI and the Applicant Report from Resume Now, 57% of hiring managers saw a noticeable uptick in AI-assisted submissions over the previous year, with 90% reporting an increase in low-effort or spammy applications. More submissions, lower average quality, and the same number of hours in a recruiter’s day—that’s the problem. And more headcount alone can’t solve it.
Of those who pass initial review, a meaningful proportion still need a phone screen. Let’s say each call takes 20 to 30 minutes, plus time for scheduling, documentation, ATS updates, and drafting communications. For a recruiter carrying 15 to 25 open requisitions—an industry norm —this is not a sustainable model.
With a lack of time spent thoroughly reviewing CVs and resumes and the investment of time needed for phone screens, it’s no wonder qualified candidates so often slip through the cracks. It’s not because recruiters aren’t trying, but because the volume of work exceeds what human capacity can handle at this stage.
What AI Voice Recruitment Changes
AI voice technology approaches the screening call as a scalable, consistent interaction at an early stage where the need for personalization is limited. When a candidate submits an application, they can be immediately invited to complete a structured screening conversation—available at any time, on their schedule, without needing to book a slot on a recruiter’s calendar.
The Affinix® AI Voice Recruiter conducts natural-language screening conversations covering the questions recruiters would ask in an initial call: role-specific qualifications, experience and background, availability, compensation expectations and anything else the organization defines as a screening criterion. The conversation is documented automatically. Candidate responses are analyzed and scored. Recruiters receive a structured summary that allows them to make informed advancement decisions without having conducted the calls themselves.
Candidate Experience, Not Candidate Processing
There’s a meaningful difference between screening candidates and making them feel processed. AI voice recruitment, done well, should feel like a real conversation with a clear purpose.
Speed is a significant factor here. One of the most persistent complaints candidates have about hiring is lack of responsiveness. In fact, 42% of candidates dropped out of the hiring process because scheduling interviews took too long. Top candidates are typically off the market within 10 days, while average time-to-hire in many industries now exceeds 27 days. AI screening, available immediately after application submission, closes that gap at the most critical early stage.
Standardization is another benefit that often gets overlooked. Human screening calls vary in quality depending on the recruiter’s experience, the time of day, and how many calls they’ve already made that week. Research on decision-making under cognitive load shows that evaluation quality degrades with volume—standards drift and unconscious bias becomes more pronounced as decision fatigue sets in. AI screening calls are consistent: every candidate gets the same structured conversation, and every response is evaluated against the same criteria. That’s better for the candidate experience and for compliance.
Connect More: What Recruiters Do With the Time
When recruiters aren’t spending their mornings on back-to-back phone screens, they can focus on the work that requires human judgment: building relationships with high-value candidates, consulting with hiring managers, improving job descriptions and developing sourcing strategies for hard-to-fill roles.
The Affinix AI Voice Recruiter is positioned not as a replacement for recruiter expertise, but as a tool that protects that expertise from being consumed by tasks that don’t require it. In a market where application volumes are only likely to keep growing, that distinction is going to matter more and more.
The best talent is often already in your system. Whether they’re candidates who applied months ago, former employees who might return or silver or bronze medalists from past requisitions. The key to unlocking this untapped opportunity? AI-powered talent rediscovery. Companies that can quickly identify and engage qualified candidates from their existing databases gain a significant advantage. Yet most talent acquisition teams lack the bandwidth to review thousands of profiles to identify skill matches across previous applications. That’s where AI steps in to help your team do more with less effort.
What Is Talent Rediscovery?
Talent rediscovery is the practice of identifying and re-engaging candidates within your existing talent pool who may be a good fit for current or future opportunities. This includes:
Previous applicants who didn’t advance in earlier hiring cycles
Former employees who left on good terms
Previous candidates whose skills align with new openings
Internal talent ready for lateral moves or promotions
Most organizations lack the infrastructure to find existing talent efficiently, making talent rediscovery an afterthought rather than a strategic priority.
How AI Transforms Talent Rediscovery
Without AI, talent rediscovery is a manual, time-intensive process, including:
Manually searching databases using keywords
Spending hours reviewing profiles that don’t quite match
Relying on recruiters to remember candidates from months ago
Losing context about why someone didn’t advance previously
Missing candidates because their profiles use different terminology than your job descriptions
These friction points create bottlenecks. A single open role might require 10 to 15 hours of manual digging just to surface relevant candidates. Multiply that by numerous open roles, and you’re looking at significant opportunity cost.
AI-powered technology can eliminate the speed and scale limitations of manual talent rediscovery. Here’s how:
1. Intelligent Candidate Matching
AI algorithms can analyze job descriptions and match them against candidate profiles in seconds—something that would take humans hours. Large language models understand semantic meaning, identifying candidates with relevant skills even when terminology differs between the job posting and their background.
For example, for a “Growth Marketing Manager,” AI might surface candidates who have worked as a “Product Marketing Specialist” or a “Performance Marketing Lead”—roles that are functionally similar even with different titles.
2. Rapid Pool Segmentation
AI can instantly segment your candidate database by skill, experience level, location, industry and dozens of other variables. For example, with Affinix® , instead of reviewing 5,000 profiles for one role, your team can create a prioritized talent pool of highly relevant candidates ranked by match quality.
3. Predictive Candidate Scoring
Modern AI systems don’t just match keywords—they predict likelihood of interview success and acceptance based on historical hiring data. Candidates are ranked not just by skill alignment, but by estimated probability of moving through your hiring funnel successfully.
4. Passive Candidate Activation
AI can identify which candidates in your database are most likely to be receptive to outreach right now. By analyzing job search signals, career progression patterns and engagement history, AI helps recruiters prioritize who to contact first, maximizing response rates.
5. Automated Outreach and Engagement
AI-powered CRM systems can draft personalized re-engagement messages at scale. Templates can be customized based on candidate background, location and previous applications, creating a personal touch without requiring manual composition for each prospect.
The Strategic Advantage
In an era where top talent is scarce and hiring costs continue to rise, hiring teams can’t afford to overlook qualified candidates already in their system.AI-powered talent rediscovery gives talent acquisition leaders a strategic advantage: the ability to fill roles faster, at lower cost, with better-matched candidates.
More importantly, it frees your team from tedious database searches so they can focus on what AI can’t do: building relationships, assessing cultural fit and making strategic hiring decisions.
Talent rediscovery isn’t new, but AI-powered technology has transformed it by combining intelligent matching, rapid segmentation and automated engagement, enabling your team to access warmer candidates in less time. For talent acquisition leaders seeking to do more with their existing resources, talent rediscovery represents an immediate, high-impact opportunity.
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