Is AI just a shiny object we talk about at conferences, or is it actually doing the work?
I’ve been asking this question a lot lately. To get a real answer, I dug into the data from the newly published IDC InfoBrief, “The Future of Audit and Accounting in the AI Era” (February 2026). I also sat down with the latest Everyday CPE course that breaks this survey down.
The survey covered over 1,000 professionals across six countries. While the report calls them “decision-makers,” the demographics were a bit nebulous regarding tenure. However, a sample size of 1,000 gives us a solid baseline for global sentiment.
Here is what I found when I analyzed the numbers and how this impacts the future of the profession.
From Future Promise to Operational Reality
The biggest takeaway from the data is that we have hit a tipping point.
- 66% of respondents say they either have an AI strategy in place or active pilot projects.
- 76% believe AI will fundamentally transform audit in the next 10 years.
We aren’t in the “manual sampling” days anymore. We moved from Excel to Alteryx, and now we are moving to AI. The goal remains the same: increase sample sizes (potentially to 100% of transactions) and get results faster.
But adoption isn’t just about buying software. It’s about the friction between what management wants and what employees want.
The ROI Disconnect
In the course breakdown, we discussed a fascinating conflict in incentives.
- Management often views AI as a way to get more work out of people. Same hours, higher output.
- Employees often view AI as a way to do the same work in less time. Same output, fewer hours.
If you are a startup founder, you might use AI to work 12 hours a day effectively. If you are a 9-to-5 auditor, you might use it to finish by 3:00 PM. This misalignment makes measuring ROI incredibly difficult.
The Trust Gap (And Why I’m Worried)
This is where the data gets concerning.
The survey shows that 53% of people agree AI enhances audit quality. That sounds good until you look at the risks. 48%believe AI carries a significant risk of eroding trust in the profession.
We saw this with the Deloitte Australia case, where AI hallucinated citations. Bad headlines erode trust.
But here is the stat that actually shocked me: Only 64% of respondents believe auditors must always validate AI outputs.
That number should be 100%.
If a first-year analyst handed you a workpaper, you would review it. If a sophisticated chatbot hands you a conclusion, you have to review that too. The fact that 36% of auditors might be comfortable not validating AI outputs is terrifying.
Barriers to Entry
If AI is so great, why isn’t everyone fully automated yet? The report highlights three main blockers:
- Cost: Usage models are variable. I use tools like Claude or Gemini via API. Sometimes a task costs me $5; other times it costs $25. Predicting that line item is hard for a firm.
- Talent: 30% cite a lack of technical talent.
- Preparedness: Only 28% of firms feel prepared to upskill their staff.
We are spending money on the tools but not enough on the education to use them safely.
Key Takeaways
- Adoption is High: 66% of firms are already moving on AI. It is not a “future” tech anymore.
- Validation is Low: Too many professionals trust AI blindly. Always check the output.
- Incentives Matter: Management and staff have different goals for AI efficiency.
- Get Trained: The biggest gap is skills. Only 28% are ready to train their staff. Don’t wait for your firm; start learning the tools yourself.
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