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Tax preparation has a problem: most of it is structured, rules-based, and document-driven. That's exactly the kind of work AI is best at. Agentic AI tools are already handling data extraction, return population, and preliminary compliance checks in firms of every size. The tax specialists navigating this well aren't the ones resisting it. They're the ones who figured out what the shift frees them to do instead.
What's already being automated
Thomson Reuters Ready to Review uses agentic AI to scan uploaded client documents, extract and categorise data, and populate current-year returns automatically, with human review as the final checkpoint rather than the starting point. Wolters Kluwer CCH Axcess Expert AI is embedded directly into the CCH workflow suite, connecting intelligence across tax preparation, audit, and firm management to flag anomalies, surface research, and speed up review cycles. Intuit's AI-powered accounting tools automate bank reconciliation, account categorisation, and financial summary generation, with 93% of surveyed accountants reporting they now use AI to support advisory conversations.
What the research actually says
The 2025 Intuit QuickBooks Accountant Technology Survey found that 81% of accountants say AI directly improves their productivity, with 98% reporting improvement in accuracy from automation. Thomson Reuters' Future of Professionals Reports (2024 and 2025) project AI will save tax professionals five hours per week in the near term, rising to twelve hours per week within five years. For standard individual returns, firms are already reporting 50 to 70% reductions in preparation time.
Firms adopting AI are redirecting the hours saved from routine compliance into cash flow forecasting and tax strategy, where billing rates run 40 to 60% higher than compliance work.
Two people. Same title. Completely different week.
Tax Specialist A spends the bulk of their time on data entry, document sorting, return population, reconciliation tasks, and chasing clients for missing information. These tasks are all being absorbed by agentic AI tools faster than most firms have adjusted their pricing models. The throughput is higher but the billable complexity per task is lower, which creates pressure on junior roles especially.
Tax Specialist B spends their week on planning conversations with business owners, multi-entity tax structure analysis, estate planning considerations, and the kind of scenario modelling that requires understanding a client's goals, not just their numbers. AI tools give them faster access to the data they need for those conversations, but they can't have the conversations themselves.
The path from A to B is real and it's open. It requires deliberate investment in advisory skills and the willingness to let AI handle the intake work you've always done manually.