98% of TA functions are 'transforming' — but half admit their AI policies can't keep pace
The News
Morgan McKinley's Talent Acquisition Insights Report 2026, published 2 July in partnership with TALiNT Partners, surveyed more than 100 senior TA leaders across the UK. The headline number is striking but not surprising: 98% of organisations say they are already undergoing some form of transformation. What's more revealing is where the friction sits.
The biggest skills gap — cited by 74% of respondents — is AI. Not sourcing. Not employer branding. Not stakeholder management. AI. And yet 51% admit their AI policies are not keeping pace with AI adoption. There is a gap between the tools teams are using and the governance frameworks that should control them, and more than half of the profession knows it. Budget constraints are the most-cited barrier to transformation at 76%, suggesting that TA leaders are being asked to do more with what they have rather than being resourced for the shift they can see coming.
The report also surfaces a persistent tension: 37% of respondents said the single biggest risk from AI is "losing the human touch in recruitment." That is nearly two in five senior TA leaders — people whose job is to make hiring faster and more efficient — expressing genuine concern that the tools designed to help them may hollow out the very thing that makes recruitment work.
Why It Matters
The 51% AI policy gap is the number that should keep TA leaders awake. It means that in half of UK organisations, AI tools are being adopted faster than the rules that govern them. Given that the EU AI Act's employment deadline is 30 days away — and that the ICO has explicitly warned UK employers about solely automated decision-making in recruitment — the gap between adoption and governance is moving from a theoretical risk to a regulatory one.
The budget constraint finding matters because it suggests transformation is happening through tool-level adoption — individual teams buying point solutions — rather than through funded, centrally governed programmes. That pattern creates exactly the policy gap the survey identifies: tools proliferate, governance lags, and by the time someone notices, there are 15 AI-powered recruitment tools in production with no documented controls.
Taking Action
All action is situated in your corporate context. These are starting points, not prescriptions — choose what fits.
Connect
Who to talk with in your enterprise
Your TA operations or enablement lead. Do you have an accurate inventory of every AI tool your recruitment team is currently using, including ones adopted bottom-up without central procurement? If the answer starts with "I think so," you're probably in the 51%.
Your HR technology or HRIS lead. What's the review cadence for AI tools in the recruitment stack? Is there a documented AI acceptable-use policy that covers candidate-facing tools specifically — not just a generic IT policy?
Inspect
What to take a closer look at
Run a quick "shadow AI" audit. Ask every recruiter and sourcing specialist on your team one question: "What tools are you using that IT didn't give you?" Compile the list. For each tool, check whether it processes candidate data, whether it makes or influences screening or ranking decisions, and whether it appears in your data protection impact assessment. Count how many are undocumented. That number is your AI policy gap — and it's probably larger than you think.
Reflect
What to think about more deeply
If your TA function is transforming — but your AI governance isn't — who is actually in control: your leadership team, or the vendors who sold you the tools?