Talent acquisition strategies in 2026 are being driven by AI, which is changing nearly every aspect of how business is done, and the need to drive cost out of the business, according to Gartner, Inc.

Gartner has identified four trends that will shape talent acquisition in 2026:

• High-volume recruiting goes AI first
• Recruiter sills shift for more complex work
• Talent acquisitions redesigns early career programmes to pipeline future jobs
• AI reshapes how organisations assess talent

“Many AI use cases in recruiting have been around for a long time, and we’re starting to see real value,” said Jamie Kohn, Senior Director, Research, in the Gartner HR practice.

“Now new AI technologies are emerging with the potential to fundamentally reshape recruiting, like generative AI, interview intelligence tools, and recruiter AI agents.”

Injecting AI into high-volume recruiting

High-volume, low-complexity roles – frontline roles such as retail workers, customer service reps, drivers – are ideal for an AI-first approach. They have the highest potential for cost savings, the stable, repetitive work is a good fit for AI capabilities, and there’s less risk of backlash from candidates or the business as these roles already have a low service level.

Before leveraging AI for high-volume roles, talent acquisition leaders should consider a range of actions.

These include hands-on monitoring, maximising efficiency, reframing the risk of bias, and clarify choice and transparency around AI.

Shifting recruiters to more complex work

“AI has the potential to impact nearly every part of the recruiter role, if it isn’t already,” said Kohn. “Redesigning the recruiter role isn’t just about understanding what technology can do; it’s about understanding how recruiting itself is changing.”

As AI and automation take on more of the low-complexity work, recruiters’ ability to deliver on high-complexity hiring becomes more critical.

Recruiters today must advise on talent strategy and role design to meet hard-to-find, in-demand skill needs while also possessing the skills to build long-term relationships with hard-to-access prospects.

Finally, recruiters must be able to assess candidates’ fit for the organisation’s future needs, not just the current role.

Recommended reading

• Interview with a Robot? AI Erodes Trust in Recruitment
• Recruitment Leaders Struggling to Find AI Talent, Report Claims
• 8 in 10 Hiring Managers Prioritise AI Skills When Hiring
• Is AI Now Essential in Recruitment?

Redesigning early career programmes with AI

By 2030, half of enterprises will face irreversible skill shortages in critical job roles due to GenAI accuracy decline, skills erosion and uncompetitive pay.

Organisations need to rethink their whole early-career talent strategy; talent acquisition, specifically, needs to help their organisation rescope what early career roles are needed and why.

Ultimately, recruiting leaders must work with business leaders to refocus early-career programs around safeguarding future talent pipelines. New graduate hires must provide value today, but they should also have potential to fill critical talent gaps in the future.

Reshaping talent assessment for generative AI

Candidate quality is being threatened by the rise of candidate fraud, candidates’ increasing use of generative AI in the hiring process and rapidly changing skills.

“Maintaining candidate quality requires organizations to assess candidates’ true abilities without GenAI while also integrating AI into assessments for roles that have to use it on the job,” said Kohn.

Gartner predicts that by 2027, 75% of hiring processes will include certifications and tests for workplace AI proficiency.

GenAI-based assessments can allow organizations to evaluate both critical generative AI skills and core skills, including critical thinking ability, subject matter expertise, creativity and communication. This gives recruiters and hiring managers a better sense of candidates’ true ability to do the work.