Research and Reports

The State of AI Readiness in Talent Decisions

Three things HR has figured out about AI

Two years into using AI in talent decisions, HR leaders know much more clearly what they want it to do, and the data shows it.

What HR has decided 'good AI' looks like

HR leaders have a clear sense of what good AI in talent decisions looks like. They want it bias tested before launch, explainable to managers and employees, and with humans involved at the points where decisions get made.

Why some HR teams are scaling AI faster

HR teams that planned governance from the start are 2.5 times more likely to be expanding their AI use into 2027 than teams without a governance framework in place.

Why some AI tools get used and others get dropped

AI career tools succeed when they show up inside Teams or Slack, when managers actually use them in 1:1s, and when the recommendations lead to real jobs and projects employees can pursue.

The five biggest funding areas for the next 12 months

HR teams are putting their AI budgets into five specific areas:

Most HR teams are leaning into AI

Half of HR leaders are either expanding their AI use right now or putting the foundations in place to do so soon.

Hands-on AI experience predicts what comes next

The HR teams already running AI in their talent processes are far more likely to be expanding it.

Four numbers worth knowing

0%

Of HR leaders are more confident about AI now than they were two years ago.

0%

Require AI to be bias tested before they will deploy it in talent decisions.

0%

Are putting next year's AI budget into internal mobility and talent marketplace tools.

0x

Higher rate of AI expansion among HR teams with a governance framework already in place.

Get the full report

The State of AI Readiness in Talent Decisions has the complete data from our Q1 2026 research of 250+ senior HR leaders at companies with 1,000 or more employees in North America and Europe.

Inside, you will find the cuts by industry, by company size, and by HR role, plus the full data on what HR teams are investing in over the next 12 months, what they are willing to pay for in AI, and what would change their mind about expanding AI further in talent decisions.