AI indirect tax compliance tools are accelerating, but most tax teams are not ready to use them

Corporate tax departments say they want AI. The tooling vendors say it is ready. The workforce data says neither side is telling the whole story. New findings from the 2026 Corporate Tax Department Technology Report, published by the Thomson Reuters Institute and Tax Executives Institute, reveal a widening gap between AI indirect tax compliance ambitions and the organisational capacity to deliver on them.

The report surveyed 170 tax leaders from companies of all sizes and found that 64% of tax departments remain at the reactive or chaotic end of the Technology Maturity Curve, meaning they are still reliant on manual processes and fragmented systems. At the same time, just a year ago, tax professionals expected AI to become central to their workflow in three to five years; now, the most common estimate is one to two years.

That is a problem. The tooling is moving faster than the people who must operate it.

The numbers behind the readiness gap

The 2026 report reveals that satisfaction with tax technology has plummeted to just 34%, from 56%, in a single year. Only 9% of tax professionals rate their colleagues as very competent with technology. The majority (60%) said they consider their teams merely somewhat competent, while nearly one-third admit their departments lack technological competence altogether.

The training figures are worse. Only 50% of corporate tax professionals surveyed said their departments provided technology training in 2025, down from 59% the previous year. Training investment is falling at the precise moment AI adoption timelines are compressing. 39% of tax professionals said they now expect AI to be central to their workflow within one to two years, up from 31% who thought it would take that long just last year.

Budget constraints compound the issue. 69% of respondents expect their tech budget to increase, and 92% expect their capabilities to improve, but last year’s respondents were similarly optimistic, and only about 39% actually got the budget bump they predicted. Only 27% of respondents said they can secure the budget and resources they need when they need them.

These are all self-reported figures from a 170-person survey conducted in partnership with Thomson Reuters, which sells indirect tax compliance software. The sample is modest and the sponsor has a commercial interest in the findings. Readers should weigh that accordingly.

To be sure, the skills gap is not a Thomson Reuters invention. Deloitte’s State of AI in the Enterprise 2026 report found that, according to the leaders surveyed, insufficient worker skills are the biggest barrier to integrating AI into existing workflows, ahead of technology limitations, budget constraints, or leadership scepticism. That survey covered 3,235 business and IT leaders across 24 countries and carries considerably more statistical weight. In just one year, the share of employees with access to sanctioned AI tools increased by 50%, reaching around 60% of workers, yet only 25% of organisations have moved at least 40% of their AI experiments into production.

Why AI indirect tax compliance is the first real test

Indirect tax compliance is where the tension between AI capability and workforce readiness is most visible. Tax professionals currently spend 56% of their time on reactive, basic tasks, and 58% of departments now report they are under-resourced, up from 51% just a year ago. VAT filings, sales and use tax calculations, e-invoicing reconciliations across dozens of jurisdictions: this is exactly the kind of high-volume, rules-based work that AI handles well in theory.

Vendors are responding. Thomson Reuters launched ONESOURCE Sales and Use Tax AI in January 2026, integrating with its broader indirect tax portfolio for tax determination, certificate management, international VAT compliance, and e-invoicing. The product promises what Thomson Reuters calls “touchless compliance.” The underlying AI, CoCounsel, has surpassed one million professionals worldwide, according to the company. That figure is self-reported and refers to access, not active usage.

The Big Four are making similar moves. EY has deployed 150 AI agents serving 80,000 tax professionals. KPMG committed $2 billion over five years to AI and Microsoft Cloud services, targeting $12 billion in added revenue from AI-enabled services across audit, tax, and advisory. These are large numbers. Whether they translate into better indirect tax outcomes for corporate clients remains unproven.

The structural talent shortage makes the readiness question more urgent. Personiv’s 2026 CFO Pulse Survey found that 84% of senior leaders report a critical shortage of accountants, up from 63% in 2020. Bureau of Labor Statistics data put unemployment among accountants and auditors at 1.0% in May 2026. Robert Half’s 2026 Demand for Skilled Talent report found that 62% of finance and accounting leaders face challenges hiring and retaining accountants.

The talent pipeline is shrinking: fewer students are pursuing accounting degrees, and experienced professionals are retiring at an accelerating rate. AI tools are arriving into departments that cannot fully staff their existing processes, let alone govern new ones.

Implementing an AI agent and governing it are two different projects. Policies for AI decision oversight, audit trail standards, data handling protocols, and human review checkpoints do not write themselves. For indirect tax, where filing errors carry direct penalty exposure, governance is not optional.

The underlying data in the 2026 Corporate Tax report is not dramatically new. The survey methodology is consistent with prior years, and the directional findings (under-resourcing, training gaps, budget friction) echo the 2025 edition. What has changed is the speed of AI product launches from vendors who are now marketing agentic capabilities against a workforce that, by the industry’s own admission, is not prepared to absorb them.

The question for tax leaders is not whether AI indirect tax compliance tools work. Several do, within defined parameters. The question is whether their teams can operate, validate, and govern those tools at the pace vendors are shipping them. The data, from multiple independent sources, suggests most cannot. Not yet.