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.
A daily newsletter distilling the past two weeks of movement in a domain or two — delivered to your inbox while the index updates in the background.
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: Almost everyone has bought AI for hiring, development, and workforce management — but fewer than 5% of companies are getting real business value from it, and the legal bill for getting it wrong is now landing on both vendors and employers.
Across HR, the technology works and almost everyone owns it: roughly 9 in 10 employers use AI in recruiting, and the same is true across onboarding, training, engagement, and pay benchmarking. The problem is what happens next. A survey of C-suite and HR leaders found 90% have deployed hiring AI but fewer than 5% report it changed anything that matters to the bottom line; a separate Gartner read puts 88% of HR leaders at no significant business value. The companies pulling ahead are not the ones with the most tools — they are the ones that paired the tools with redesigned jobs, clean data, and disciplined human review. Most bought the software and stopped there. If you are in that majority, you are not behind on technology; you are behind on the organizational work that makes the technology pay, and that gap is now where the competitive difference sits.
Two US regulators went in opposite directions in the same month. Colorado repealed its landmark AI hiring law weeks before it was due to take effect, scrapping the bias-audit requirements many companies were preparing for — while California, Illinois, and New York City tightened theirs. The EU also pushed its strictest hiring-AI rules out to 2027/2028. The compliance target is moving, so build to the strictest standard you operate under rather than chasing each jurisdiction.
A federal judge refused to let the AI hiring vendor off the hook. In the Mobley v. Workday case — covering roughly 1.1 billion rejected applications — the court ruled the software maker can be treated as the employer's "agent" and sued directly for discrimination. Buying from a big vendor no longer transfers the legal risk; insist on bias-test data and audit rights in your contracts.
The UK regulator audited real employers and didn't like what it found. Britain's data regulator reviewed 30-plus companies and sent compliance letters to 16, singling out firms that call automated rejections "decision support" to dodge oversight rules while offering no real human check. If a person is not genuinely reviewing AI-driven rejections, calling it "support" will not protect you.
Junior hiring is quietly disappearing. India's tech sector — a bellwether for global IT — hit a 28-month low in open roles, with entry-level postings down 44% year on year as AI absorbs routine work. Meanwhile Wipro and TCS are training tens of thousands of staff on AI tools. Plan now for how you build mid-level talent when the bottom rung of the ladder is being removed.
August 2, 2026 — EU transparency rule goes live. From this date, anyone interacting with your HR chatbot or AI assessment in Europe must be told it is AI, and emotion-detection tools (mood and voice sentiment analysis) become outright illegal in EU workplaces. Audit where you use these now; the fines reach 7% of global revenue.
Vendor lawsuits will set the rules before legislators do. With Workday and Eightfold both in active litigation that treats the software maker as liable, expect courts — not regulators — to define acceptable practice over the next year. Watch these cases and pressure-test your own hiring tools for the same exposure.
The "AI versus AI" arms race in hiring is accelerating. Around 40% of resumes are now AI-written, candidate fraud (including deepfake identities) is rising fast, and Gartner expects 1 in 4 candidate profiles to be fake by 2028. Volume-based screening is breaking; the next 12 months will force a shift toward identity verification and fewer, better-targeted applicants.
Deployment is easy; getting value is not. The tools install in weeks, but the payoff requires redesigning how work is done — and 95% of organizations have not redesigned a single role despite saying every role is changing. SHRM data shows cost-per-hire and time-to-hire have actually risen over three years of AI adoption.
The human check that's supposed to make this safe doesn't work as advertised. Research found recruiters go along with biased AI recommendations 90% of the time, meaning "a person reviews it" is not the safeguard regulators assume. Real oversight requires structure and training, not just a name on an approval line.
Nobody trusts it — not candidates, not your own staff. Only 26% of candidates trust AI to evaluate them fairly and two-thirds of US adults say they won't apply to employers who use it, while internal worker confidence in AI just fell at the steepest rate on record. Trust, not capability, is now the ceiling on what these systems can deliver.
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.