A big thank you to ACCA for publishing Global Talent Trends 2026. It is now the largest annual survey of careers, jobs and working life in our profession — 11,389 respondents across 160 countries, with fieldwork running from October 2025 to February 2026. Producing something at that scale, year after year, is a real service to finance and accountancy, and it gives the rest of us a dataset we can actually plan around.

This is not a commentary piece. It is a set of highlights — the numbers that stood out to me on the question ACCA's own Head of Skills, Sectors and Technology, Jamie Lyon, singled out as "one of the standout issues this year": people's concerns around AI. I have let the data lead, and I have kept my own voice to a minimum. Where a figure deserves a charity-finance lens, I have added one line and moved on.

Adoption is now the baseline, not the story

Before the worries, it helps to see where the profession actually is. On ACCA's numbers, AI is no longer emerging — it is established.

One charity-finance note: by sector, the not-for-profit and charity world sits at 43% regular AI use — level with the public sector and below the Big Four (66%), mid-tier firms (63%) and shared services (56%). Charities are not outliers here; they are in the middle of the field, but not leading it.

The concern data

Here is the finding I read twice. Adoption is rising and worry is rising at the same time.

AI in recruitment — and a leadership paradox

This is the part most coverage will miss, because it runs the opposite way to the usual story.

In the not-for-profit and charity sector, only 29% are confident in AI for recruitment against 63% who are not — the highest scepticism of any sector in the report.

If you are hiring finance staff in this sector, that is a quiet warning: heavy-handed algorithmic screening may put off the very people you are trying to attract.

The quieter risk: shadow AI

Two figures from an ACCA webinar poll connected to the research caught my eye, because they are about governance rather than fear:

Where AI worry meets wellbeing

ACCA is careful to frame this as correlation, not causation, and so will I:

ACCA's own conclusion is the one I would underline: AI anxiety is highest among people who already feel overwhelmed or insecure, and it tends to fall where employers invest in upskilling. The report even names the trap to avoid — what it calls "agency decay", where over-reliance on AI erodes people's confidence to make their own calls. The data points away from clamping down and towards clear communication, deliberate training and careful workflow design.

The data also has a hopeful side

It would be a poor reading of this report to stop at the worries.

For charity finance teams, that last point matters most. The mission you already have is, on this data, a genuine advantage in attracting talent — and the way to meet rising AI concern is not to avoid the technology but to introduce it openly, with human sign-off and a clear audit trail intact.

A closing thought

The honest takeaway from Global Talent Trends 2026 is that two things are true at once: AI use is up, confidence in learning it is high — and worry about its impact has gone up as well. That tension is real, and it deserves a real response rather than reassurance.

At AI Finance Office, my work with charity finance teams is to create and deploy automations that are transparent, auditable and properly governed — precisely because the concerns in this data are legitimate. AI that a Finance Director can stand behind, with the human judgement left firmly in human hands, is the version of this that earns trust.

My thanks again to ACCA for the research. The full Global Talent Trends 2026 report is free to download at accaglobal.com — I would particularly recommend Section 7 to anyone thinking about AI governance in their own finance team. And if you would like to talk through what that looks like in practice, I am always happy to.

Sources: all figures are drawn from ACCA, Global Talent Trends 2026 (11,389 respondents, 160 countries; fieldwork Oct 2025–Feb 2026). The 73% / 37% chatbot figures are from an ACCA webinar poll connected to the research rather than the main survey; the productivity figure referenced in the report is US Real-Time Population Survey data cited by ACCA. Global Talent Trends 2026 (PDF).