5 Things I’m Betting on for Talent Acquisition in 2026

Talent teams are heading into 2026 with optimism in one pocket and Advil in the other. AI keeps accelerating, expectations keep rising, and hiring velocity still refuses to behave. The future of talent acquisition feels both exciting and unpredictable. Here are the shifts I believe will matter most this year and where TA leaders should keep their eyes.

1. Agentic screening tools get sharper but seasoned candidates still hate them

Agentic systems will take on more of the early funnel in 2026. Tools will increasingly review portfolios, administer skills assessments, and even perform basic reference checks with little human involvement. These systems are becoming faster and more capable, turning what used to take days into hours and sometimes minutes.

Yet no matter how polished the technology becomes, seasoned candidates will still push back against impersonal processes. According to talent experience research, 68% of candidates say they appreciate faster application processing, but 74% still want human interaction for decision points such as final interviews and offers. This suggests that while initial efficiencies matter, human connection is still critical to candidate experience.

It is likely that organizations that blend efficiency with intentional human interactions will win in competitive talent pools. Those with TA leaders involved in product decisions or strategic advisory roles tend to be ahead of the curve in balancing these forces.

What to watch: Companies that balance efficiency with humanity will win in competitive talent pools.

Winners: Companies that have TA people in Product Advisory roles, or are founders. 

2. We hit peak Jevons paradox, AI reduces tasks, not jobs

The idea that AI will wipe out whole careers keeps getting airtime, but reality is more nuanced. Instead of eliminating entire jobs, AI is trimming repetitive tasks and creating space for new types of work. Recruiters will find themselves freed from manual work like sorting resumes and scheduling interviews, and instead focused on higher-value activities that require human judgment.

In 2025 alone, many talent teams reported increased adoption of AI to support routine recruiting tasks, with uses in job description writing, candidate outreach, and screening. One report shows the use of AI in recruitment climbing by more than 400% since 2023, and nearly one in four employers frustrated with candidates not responding said they expected job boards to adopt AI tools to address issues such as ghosting.

Jevons paradox shows up everywhere: when you make something more efficient, usage goes up, not down. And history offers similar examples. When shipping containers were introduced in logistics, they did not replace dock workers. Instead they transformed the industry and expanded global shipping. AI in recruiting is following a similar pattern. Tasks change shape, roles evolve, and entirely new functions emerge.

We’ll see:

  • Fewer mind-numbing chores across industries.
  • More demand for people who can oversee, interpret, and improve AI-driven workflows.
  • An explosion of adjacent roles that didn’t exist even two years ago, think prompt engineers, AI auditors, workflow designers, and human-in-the-loop reviewers.

3. Regulation starts swinging

As AI becomes more common in hiring, governments and regulators are stepping in. Expect laws in various countries (and in the U.S., at state and even city levels) that require employers to:

  • disclose when AI is used to screen or score candidates
  • explain how automated decisions are made
  • audit for bias with real consequences attached.

This shift is already underway through legal action and policy proposals aimed at governing automated decision tools. Job seekers are likely to treat AI transparency like they treat food ingredient lists. Most may not read every detail, but candidates expect that information to be available and accurate, and they become wary if it is not. Efforts like the Mobley vs. Workday case underscore how legal scrutiny is increasing around AI-driven decisions, particularly when bias is alleged.

In 2026, transparency will no longer be optional. It will be a compliance requirement that influences both employer reputation and candidate trust.

4. More marquee acquisitions in TA tech

If 2025 was about strategic consolidation, 2026 will be about marquee deals reshaping the talent acquisition technology landscape. The acquisition of conversational and AI-powered hiring tools by major platforms last year set a precedent. Zoom’s purchase of BrightHire and Workday’s acquisition of Paradox showed that large enterprise players are willing to invest aggressively in niche TA tech.

This consolidation is likely to continue, with HRIS and ATS providers absorbing specialized AI tools that can not only automate tasks but also integrate deeply into workforce planning. Over time, talent technology may look less like a disconnected stack of point solutions and more like a unified talent experience platform.

5. The surprise trend: The emergence of the “Talent Advisor” (for real this time)

For years, industry conversations have talked about the recruiter as a strategic advisor instead of an order taker. In 2026, that shift will become real. As AI handles more of the operational workload, such as screening, scheduling, and outreach. Recruiters who lean solely on task execution will find themselves at a disadvantage.

What organizations will value most are recruiters who can act as trusted consultants: coaching hiring managers, interpreting labor market data, and shaping strategic workforce decisions. AI handles the repetitive work. Humans bring context, empathy, and judgment.

By the end of 2026, teams may naturally divide into two roles: Operators, who manage workflows and technology execution, and Talent Advisors, who apply market intelligence and strategic insight. The operators keep things running. The advisors drive outcomes.

What This Means for Talent Teams in 2026

None of these changes happen in isolation. Speed and automation must be balanced with humanity and transparency. Regulation and innovation will push each other forward. And as technology becomes more embedded in daily workflows, the value of human judgment becomes even more essential.

In 2026, the organizations that succeed will be those that combine thoughtful use of AI with deep human insight. The future of talent acquisition is not a choice between technology and people. It is how well teams blend the two to build systems that are fast, fair, reliable, and respectful of the human experience.

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