The Hackett Group Reveals AI HR Benchmarks

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The Hackett Group has launched its AI World Class HR Benchmarks (Credit: Getty)
New AI HR benchmarks from The Hackett Group show how organisations can improve talent acquisition, workforce planning and employee development

AI is increasingly reshaping every stage of the employee lifecycle, from recruitment through to career development, workforce planning and employee experience.

While many organisations have focused on deploying AI tools for individual tasks, new research from The Hackett Group - a Gen AI consultancy and enterprise digital transformation firm - argues that the greatest gains will come from redesigning HR operating models around AI rather than simply automating existing processes.

"Most organisations are still trying to justify AI investments one use case at a time," said Lee Derryberry, principal and HR Transformation practice leader at The Hackett Group.

"Our research shows the greatest returns come when organisations redesign end-to-end processes enabled by AI, allowing improvements to compound across HR as a whole."

The consultancy has introduced its new AI World Class HR Benchmarks, which outline what it believes represents the next generation of high-performing HR organisations.

The benchmarks provide performance targets across recruitment, learning, internal mobility and HR service delivery, offering HR leaders a framework for measuring AI-driven transformation.

Principle, HR Transformation Practice Leader, Lee Derryberry at The Hackett Group (Credit: LinkedIn)

AI extends beyond recruitment

While AI adoption in HR has largely focused on recruitment, Hackett's benchmarks suggest the technology has the potential to influence the entire hire-to-retire lifecycle.

According to the firm's modelling, organisations operating at an "AI World Class" level could achieve recruiter productivity improvements of up to 119%, while reducing time-to-fill vacancies by as much as 57%. Recruitment costs could also fall by up to 61%.

Beyond hiring, the benchmarks point to significant improvements in workforce development. Learning and development functions could deliver up to 160% more training hours, while internal fill rates could increase by as much as 101%, reflecting a greater emphasis on developing and redeploying existing talent.

The report also highlights employee self-service as a major opportunity, suggesting AI-enabled HR platforms could increase employee use of self-service tools by up to 187%.

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The Hackett Group's Vin Kumar, AI Enablement & Global Digital Operations Leader, shares how organisations can turn AI into business value.

Strategic HR takes centre stage

The benchmarks suggest AI's biggest impact may not be operational efficiency alone, but enabling HR teams to spend more time on strategic work.

Hackett estimates HR administrative time could be reduced by up to 52%, alongside a 43% reduction in HR cost per employee and a 44% decrease in HR staffing requirements.

As routine administrative tasks become increasingly automated, HR professionals could shift their focus towards workforce planning, organisational capability, employee experience and business partnering.

The firm's modelling also suggests organisations could be up to 88% more likely to view HR as a strategic business partner when AI is embedded across core HR processes.

Our research shows the greatest returns come when organisations redesign end-to-end processes enabled by AI.

Lee Derryberry, principal and HR Transformation practice leader at The Hackett Group

A benchmark, not a prediction

Although the figures are eye-catching, Hackett positions the benchmarks as aspirational performance targets rather than forecasts or industry averages.

The metrics are based on the firm's proprietary benchmarking methodology, comparing median organisational performance with what it describes as "AI World Class" operating models.

As such, the figures represent potential outcomes for organisations that comprehensively redesign HR processes around AI, rather than results currently being achieved across the market.

That distinction is important as organisations continue to explore AI adoption at different levels of maturity. While many companies have introduced generative AI into recruitment, employee support or content creation, relatively few have fully re-engineered HR workflows around AI-enabled operating models.

Hackett outlines AI-driven HR performance benchmarks (Credit: The Hackett Group)

Measuring AI maturity

For HR leaders, the benchmarks provide another indication that AI success will increasingly be measured through business outcomes rather than technology adoption alone.

Metrics such as hiring speed, internal mobility, employee development and workforce costs are likely to become more meaningful indicators of AI maturity than simply measuring how many AI tools an organisation has deployed.

Whether organisations ultimately achieve the improvements outlined by Hackett will depend on implementation, governance, workforce readiness and broader business transformation.

However, the benchmarks reinforce a growing view across the HR sector that AI's greatest value lies not in automating isolated tasks, but in reshaping how HR supports employees and the wider business throughout the entire hire-to-retire lifecycle.

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Executives

  • Lee Houston Derryberry

    Principal, HR Transformation Practice Leader

  • Vin Kumar

    Managing Director / Principal - AI Enablement & Digital Operations Practice Leader

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