The AI landscape doesn't move in one direction — it lurches. Some techniques leap from experiment to table stakes in a single quarter; others stall against regulatory walls, technical ceilings, or organisational inertia that no amount of hype can dislodge. Knowing which is which is the hard part. The State of Play cuts through the noise with a rigorously maintained index of AI techniques across every major business domain — classified by maturity, evidenced by real-world adoption, and updated daily so you always know where you stand relative to the field. Stop guessing. Start knowing.
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Each dot marks the weighted maturity of practices within a domain — hover for a brief summary, click for more detail
AI for hiring, developing, engaging, and managing workforce. Skews mature: resume screening is established, and most practices — candidate sourcing, skills assessment, workforce planning — sit at good-practice. Learning and development is advancing. Bias and fairness concerns constrain adoption in hiring; most trajectories are stalled as organisations balance efficiency gains against regulatory scrutiny.
The headline: HR has bought AI nearly everywhere and is using it productively almost nowhere — and the EU's high-risk rules land on hiring in August.
Most large organizations have deployed AI across HR and recruiting — 87% report tools in place, and the major HR systems now offer AI agents (software that acts on its own without being prompted) in general availability, meaning out-of-beta and production-ready. But fewer than four in ten companies use these tools at meaningful scale, and only 29% report significant returns. The gap between deployment and value extraction is the widest in any enterprise area we track. The companies investing in actual organizational change around AI — not just buying tools — are pulling measurably ahead: one large consumer brand cut time-to-hire by 60% and attrition by 25%; another doubled employee tenure. Those layering AI onto unreformed processes are seeing things get worse, not better — candidate trust eroding, recruiters burning out, and compliance exposure growing.
The gap between buying AI and using it is now measurable. Three independent surveys converge on the same finding: companies have HR AI but cannot use it productively. Scaling difficulty doubled quarter-over-quarter despite an average annual spend of $207M. More budget isn't the answer — operating model change is.
A major HR system rolled out AI agents across the entire suite. One of the largest enterprise HR platforms moved AI agents for recruiting, payroll, learning, performance, and talent development to general availability this fortnight. The architecture for end-to-end AI-driven HR now exists off-the-shelf; the organizational readiness to use it does not. Don't confuse "available" with "ready."
"Human review" turns out not to fix biased AI. A university study of 528 recruiters across 16 job types found that recruiters replicated the AI's bias 90% of the time when reviewing its decisions. This blows a hole in the compliance defense most organizations rely on — "human-in-the-loop," meaning a person reviews each AI output before it ships, doesn't work the way regulators assume it does. Plan for stronger controls than human review.
Almost half of recruiting leaders have no AI governance at all. 82% of talent acquisition leaders say transparency matters; 45% have no formal AI governance framework — three months before EU enforcement begins. If you're in that 45%, this is the single highest-priority gap to close this quarter.
EU AI Act enforcement on August 2 will hit most HR AI as "high-risk." Most HR AI systems fall into the high-risk category, which requires risk assessments, bias testing, and human oversight documentation. With nearly half of organizations having no governance at all, fines of up to 7% of global revenue become a realistic exposure within 90 days. Review your compliance posture now, not after the first enforcement action.
A class action against a major HR vendor could expand liability to every customer. Discovery in an active age-discrimination class action revealed 1.1 billion rejected applications and a 23% higher rejection rate for applicants over 40. If the court rules that AI screening platforms count as "employment agencies" under US law, vendor liability expands to every organization that uses these tools. Watch for a settlement signal or ruling later this year.
Autonomous AI recruiters are working badly enough to be dangerous. Several HR vendors are now shipping agents that reach out to candidates without human oversight. Early evidence: autonomous outreach gets a 5–10% hire rate versus 50% with a human in the loop. Organizations deploying agents without governance are accelerating dysfunction, not productivity. Require a governance framework before expanding any agent's autonomy.
The bottleneck is execution, not investment. $207M average annual AI spend produces 29% significant ROI. The organizations succeeding are restructuring work, incentives, and governance — not buying more tools. The fix is operational, which is harder and slower than procurement.
The compliance cliff is arriving before organizational readiness. August 2026 EU enforcement, active US state mandates, and a growing wave of litigation all converge on the same companies — the ones that deployed HR AI faster than they built the governance to manage it. Time has run out to do these in sequence.
Candidate trust is eroding silently with every ungoverned deployment. Only 26% of applicants trust AI evaluation, and offer acceptance rates have fallen from 74% to 51% since 2023. This isn't a technology problem — it's an employer brand problem, and it gets worse with each ungoverned rollout. The damage compounds quietly until it shows up in your funnel.
Go deeper: the full People & Talent briefing — the longer analytical write-up, plus every practice we track in this domain with its maturity rating, the tools to consider, and the evidence behind our assessment.