Tag: #icx2026

Ask a 22- and 60-year-old jobseeker about their recent hiring experiences, and you’ll get two completely different answers. To find out why, we took the data from our global Inside the Candidate Experience 2026 research report—including a survey of more than 1,000 job seekers—and explored a cross-section of data not included in the report itself—by generation. 

Gen Z and Baby Boomers are navigating fundamentally different versions of the same hiring market, and the data suggests the industry is addressing neither particularly well.

Gen Z: The Most Ghosted, the Most Vocal

Gen Z candidates are bearing a disproportionate share of the disconnected hiring experience. Seventy-six percent of 18–24-year-olds were ghosted in more than half their applications, the highest ghosting rate of any generation in the study. Twenty percent reported a negative overall experience, also the highest. 

At the same time, this generation is the most conflicted about AI in recruitment. Fifty-nine percent used AI in their job search—consistent with higher digital fluency and lower barriers to adoption—but 33% of non-users avoided it because it felt dishonest or like cheating, the highest ethical concern rate of any generation and more than double the rate for Gen X (9%). This is a generation entering the workforce during the most significant shift in hiring technology in decades, and what’s consistent across its split perspective is their experience of what employers are not doing: 42% of Gen Z candidates heard nothing from employers about AI. 

The commercial consequence of this silence is worth noting. After a bad experience, 24% of Gen Z candidates shared it with their network—the highest sharing rate of any generation. Young candidates are the most likely to make bad experiences public, at scale, through channels that reach their peers. For any organization with an early careers pipeline, the candidate experience is a talent brand investment with a long return horizon.  

👉  Navigating the Gen Z Era: Insights for Effective Early Careers Recruitment 

Millennials: Commercially Consequential, Increasingly in the Dark

Millennials span two career stages in our data, and each comes with its own risk. 

Younger millennials (25-34) are the largest cohort in our study and, by one measure, the most commercially consequential after a bad experience. Among 25–34-year-olds who rated their experience negatively, 55% say they would tell others not to apply to that company, more than double the rate for Gen Z (21%) and significantly above the global average (36%). This group also has the highest AI adoption (61%) and sits at the peak of career mobility—large professional networks, active on LinkedIn, likely to influence hiring decisions both as candidates and as future hiring managers.  

Older millennials (35-44) occupy a specific and uncomfortable position in the data. This is the age group receiving the most employer silence about AI. Over three-quarters (77%) heard nothing from employers about AI, the highest of any generation. It's also the group with the lowest confidence that a human reviewed their application. Just 19% were very confident their application was looked at by a person, the lowest of any generation. These are professionals who entered the workforce before AI-mediated hiring existed at scale. They're navigating a significantly changed process with less guidance than any other group, and with the longest established expectation that hiring involves human judgment at its core.  

Gen X and Baby Boomers: Lowest Adoption, Not Lowest Impact

Older candidates have the lowest AI adoption in the study—just 24% of 45–64-year-olds used AI in their job search—and tend to generate less attention in hiring technology conversations.  

While they’re less vocal with their network—just a quarter (26%) would tell others not to apply, below the group averages—they had the lowest positive experience rate (34%) of any age group in the study.  

For organizations competing for experienced talent in senior roles, this matters. This cohort is often applying for roles with higher influence, higher compensation, and higher stakes on both sides. A poor candidate experience here is costly in ways that volume metrics do not capture. 

What Generational Variation Means for Your Candidate Experience 

The practical implication of this data isn't that organizations need separate hiring processes for different generations. It's that the communication failures driving poor experiences across them are felt differently and have varying impact. 

Gen Z candidates amplify bad experiences publicly. Millennials are the most commercially reactive after a bad experience. Gen X and Baby Boomer candidates are having a quietly poor experience that employers don’t seem to notice.  

All of these problems share the same underlying cause regardless of the generation: employers not communicating clearly about what their process involves, how AI fits in, and what candidates can expect to hear.  

To explore key findings from this research and get more actionable insights, download the  Inside the Candidate Experience 2026  report.  

Employers are investing more than ever in AI-enabled hiring. Candidates are using AI more than ever to apply. But there’s not much talk about it on either side. 

That’s the headline finding from PeopleScout’s new global research report, Inside the Candidate Experience 2026—a study of over 1,000 job seekers across 10 markets and 20 sectors. The data tells a clear story: the biggest opportunity to improve the candidate experience isn’t primarily about technology. It’s about communication. 

The infographic below highlights key findings from our research to help talent acquisition professionals evaluate their candidate experience in today’s AI-influenced landscape. 

The Opportunity Isn’t More AI. It’s More Communication. 

Of course, employers should keep investing in new hiring technology. But those investments only pay off on top of a solid foundation—clear, consistent communication. The research points to a mismatch in candidate expectation and experience, and highlights where the real opportunity lies – in the human moments jobseekers value most. That means telling people where they stand, being transparent about how they’re assessed, and closing the loop instead of leaving candidates in it indefinitely. 

Get the full picture. The full report breaks down the data by market and hiring stage, with practical guidance for closing the gap. Download Inside the Candidate Experience 2026.

Something unexpected is happening in hiring.

Organizations globally are investing more than ever in AI-powered recruitment tools. Automated screening, intelligent matching, ATS upgrades—the technology budget for talent acquisition has grown significantly over the last three years. The efficiency gains are real. AI handles higher volumes of applications, reduces time-to-hire and brings consistency to screening at a scale.

And yet, according to our recent research, the candidate experience is getting worse.

PeopleScout’s latest research report, Inside the Candidate Experience 2026, is our most comprehensive global study of hiring from the candidate’s perspective. We surveyed more than 1,000 job seekers across 10 markets, audited employer hiring processes across more than 20 industries using our Candidate Experience Index and compared the results against our 2023 research. The findings challenge some of the core assumptions driving investment in hiring technology right now.

The Numbers: A Disappointing Trend Emerges 

Our proprietary Candidate Experience Index scores the recruitment process across five stages—from how findable an organization is, to what happens after a candidate applies. In 2023, the post-application Engagement stage scored 24 out of 100. In 2026, it dropped to just 9.  

Every other stage declined too: Awareness fell from 90 to 77, Application from 55 to 38, Activation from 39 to 23, Consideration from 53 to 40. Not a single stage improved. This happened during a period of record investment in hiring technology. 

The candidate survey reflects this. Just 11% of candidates globally rate their most recent application experience as excellent. In 2023, fewer than two in ten rated it as excellent. Three years later, the floor has not moved. 

So, What’s Going On? 

What has changed since 2023 is not the experience, it’s the tools.  

Three years ago, AI in hiring was largely an employer capability. Candidates experienced its effects without having equivalent access. Today, that has changed. More than half of job seekers globally (52%) said they used AI in their job search to write applications, research companies, optimize résumés and CVs and prepare for interviews. 

Both employers and job seekers are using AI during the recruitment process. But no one is talking about it. Both sides can now move faster. Yet, they communicate less.

Generally, candidates are not using AI to game the system. Only 3% say their primary motivation was getting past screening tools. The dominant reasons are saving time (38%) and improving language (40%). When you set those motivations alongside a 64% ghosting rate—the proportion of candidates ghosted in more than half their applications—a picture emerges. Candidates have been trained, by consistent and repeated employer behavior, to treat applications as low-investment transactions. If most applications disappear into silence, why invest three hours in preparing each one? Leveraging AI to complete them quickly is the rational response. 

Candidates have been trained, by consistent and repeated employer behavior, to treat applications as low-investment transactions. If most applications disappear into silence, why invest three hours in preparing each one? Leveraging AI to complete them quickly is the rational response.

The loop this creates is self-reinforcing. Employers implement AI screening to manage rising volumes. Candidates adapt by investing less and applying faster. Applications start to look the same. Genuine differentiation becomes harder to detect. Employers rely more heavily on automated screening. Repeat.

The Revenue Impacts of a Poor Candidate Experience 

Here is what makes this more than a candidate experience problem: 36% of candidates with a negative experience say they would stop purchasing from that company. And 37% say they would tell others not to apply. For consumer-facing employers, the candidate pool and the customer base are the same people. These aren’t recruitment metrics—they’re revenue metrics. 

The efficiency savings from AI-powered screening are real. But they should sit alongside another number: the revenue exposure created when the candidate experience drives customers away. Most organizations are measuring one. Very few are measuring both. 

The efficiency savings from AI-powered screening are real. But they should sit alongside another number: the revenue exposure created when the candidate experience drives customers away.

AI Works Best on a Solid Foundation 

The most striking finding in this research is also the most actionable. The organizations producing the best candidate experiences in our study are not the most technologically sophisticated. They are the most communicative. They tell candidates how AI fits into their process. They follow up beyond the auto-responder email.  

India is the most AI-advanced market in our study and provides the clearest proof of concept, with 84% of candidates using AI in their job search. It is also the most communicative country—64% of Indian candidates received some communication about AI use from at least one employer. India has the lowest ghosting rate in the Asia-Pacific region (56%), the highest positive experience rate (48%), and the strongest candidate confidence in human review of any APAC market. 

The same pattern holds in Germany, which proved to be the most transparent market in EMEA, with the lowest ghosting rate in the region (38%) and the highest positive experience rate (47%). 

In these countries, employers are communicating openly, ghosting rates are lower and trust amongst candidates is stronger. The correlation is not coincidental. It is a blueprint. 

AI works best when it is built on a foundation of clear communication and transparent processes. Without that foundation, the investment in screening technology and other AI-powered automations produces diminishing returns—because jobseekers are investing less in their applications, and lower effort means a lack of candidate differentiation to inform hiring decisions.  

The data is consistent across every region, every market and every demographic group we surveyed: candidates want to be treated as people, not processed as applications. They want their time to be respected. They want to understand what is happening throughout the hiring process and why. They want honest feedback when things don’t work out. None of these require new technology. All of them require a decision that communication is non-negotiable. 

Successful organizations will build the candidate experience that makes every subsequent hiring campaign more effective, more efficient and more human. 

To get the full research and more actionable insights, download the Inside the Candidate Experience 2026 report. 

There is a data point that surfaced in our new global research report, Inside the Candidate Experience 2026, that highlights an effect of a poor candidate experience that most talent acquisition leaders have not considered yet. It is not a candidate satisfaction score. It is not a Net Promoter Score. It connects the way organizations treat job applicants directly to the revenue those applicants generate—or stop generating—as customers. 

Thirty-six percent of candidates who had a negative hiring experience say they would stop purchasing from that company. 

For a retailer running seasonal hiring at scale, that is a meaningful portion of its customer base. For a financial services firm, a hospitality group, a healthcare provider—or any consumer-facing organization where the talent pipeline and the customer base overlap—the candidate experience is a commercial metric hiding in an HR dataset. 

The Scale of the Problem 

Our study surveyed more than 1,000 job seekers across 10 global markets. Across every market, every region, every industry, the pattern was consistent: most job seekers heard nothing back from most organizations they applied to. 

Sixty-four percent of candidates globally were ghosted in more than half of their applications. Less than 8% say they were never ghosted at all, making not being ghosted the exception, not the rule. The frustration has become visible enough that sites like Did They Ghost You? now exist specifically for candidates to report and name the companies that went silent on them—a public ledger of hiring silence that any job seeker can search before they apply.

After being ghosted:  

• 66% of job seekers felt frustrated or discouraged after being ghosted.  
• 43% said they felt less inclined to ever apply to that organization again.  

Among candidates with a negative experience:  

• 37% say they would tell others not to apply to that company.  
• 36% say they would stop purchasing from it. 
• 23% say they would actively encourage others to do the same. 

The Regional Picture 

Ghosting rates are remarkably consistent globally—between 63% and 67% across EMEA, APAC and North America. What differs is the candidate response. 

North American candidates are the most emotionally dissatisfied after being ghosted—82% felt frustrated or discouraged, the highest of any region by more than 20 percentage points.  

APAC candidates are the most likely to permanently disengage—47% were less inclined to ever apply again.  

EMEA candidates are the most commercially reactive—sharing their experiences most broadly and showing the highest purchasing avoidance rates of any region, with some markets exceeding 40%. 

Every region has a ghosting problem. The cost of that problem is distributed differently, and the commercial implications vary by sector and market in ways that determine how organizations should prioritize the fix. 

The Hourly Worker Vulnerability 

One finding deserves specific attention from leaders running high-volume hiring for consumer-facing businesses. 

Hourly and shift workers—who make up the largest segment of the candidates in our study—are the most likely to be ghosted and the least likely to have a positive experience (39%). They are also, by definition, the group most likely to be customers of the organizations hiring them. Most high-volume hourly hiring happens in retail, hospitality, and consumer services—precisely the industries where the candidate-customer overlap is most concentrated. When 35% say they would tell others not to apply and 35% would stop purchasing after a bad experience, this is not an abstract employer brand risk. It is revenue risk at a significant scale. 

The Cost Organizations Are Not Calculating 

The efficiency savings from AI investment are real. But they need to be weighed against the revenue exposure created by the communication failures that are happening in parallel—the ghosting, the silence, the candidates who leave and don’t come back. Most organizations are only looking at one side of it. 

Most talent acquisition teams measure time saved and cost per hire. Very few are measuring what happens downstream: the proportion of applicants who become detractors, the purchasing intent lost, the network effect of candidates who tell others not to apply. These are not soft metrics. They are revenue metrics with a direct line back to the hiring process. 

AI tools, automated workflows and ATS upgrades can deliver real value when they support a process that candidates trust. But when communication is lacking, the efficiencies AI creates can be offset by lost revenue and reputational damage. 

What Candidates Want 

When we asked job seekers to rate what matters most to them in a hiring process, the answers were clear—and describe a standard most hiring processes are currently failing to meet. 

The top three priorities globally are: employer respects my time (4.36 out of 5), a transparent process (4.28) and fair assessment regardless of background (4.27). All three are Engagement-stage commitments—the very stage where employers score just 9 out of 100 in our Candidate Experience Index. 

The regional picture adds further texture:  

• APAC candidates place fair assessment at the top of their priorities (4.41), by far the highest of any region—consistent with a market in which candidates are highly suspicious that employers are using AI to evaluate their applications, the highest rate globally. Where candidates believe automated systems are making decisions about them without explanation, anxiety about whether they are being evaluated fairly runs deepest.  
• EMEA candidates prioritize transparency and clear feedback, reflecting a region where employer silence has become the norm and candidates have learned not to expect follow-up.  
• North American candidates lead on wanting their time respected (4.41)—the highest of any region—consistent with the highest frustration rate from ghosting anywhere in the study. 

The things candidates prioritize and expect do not require a technology overhaul. A minimum engagement standard — automated acknowledgment within hours, a personalized message within 48 hours, specific feedback at every rejection—provides candidates with the consistent communication and human connection they’re seeking. 

When Organizations Get It Right  

The business case for fixing the follow-up is no longer just about candidate satisfaction. It is about protecting revenue that comes from job seekers who are also customers. 

Without laying a strong communication groundwork first, AI-assisted process efficiencies produce diminishing returns—candidates invest less time and energy in their applications, candidate quality declines and the efficiency gains at the top of the funnel are offset by brand reputation damage further down the pipeline. The cost of not communicating is visible in the data, and it shows up beyond the HR dashboard—on the bottom line. 

To get the full research and more actionable insights, download the Inside the Candidate Experience 2026 report.