Professional services race to adopt AI but strategy lags. Firms with clear plans see ROI gains while compliance risks rise – EU AI Act will reshape adoption.

Professional services firms are racing to embrace artificial intelligence, but a critical gap threatens to derail their technology investments. New data from Thomson Reuters reveals that while AI adoption has nearly tripled in tax and accounting firms over the past year, only 14% have developed formal strategies to harness the technology’s transformative potential.
Generative AI adoption across tax firms jumped from 8% to 21% between 2024 and 2025, according to the Future of Professionals Report 2025. This rapid uptake reflects growing confidence in AI’s capabilities, with 79% of tax, audit and accounting professionals expecting the technology to have high or transformational impact within five years.
The enthusiasm extends beyond simple adoption metrics. Among firms already using generative AI tools, 73% engage with them weekly, suggesting these technologies have moved beyond experimental phases into regular workflow integration. AI is currently saving tax professionals approximately five hours per week, with projections indicating this could rise to 12 hours within five years. Similar trends are emerging across financial planning and budgeting services where AI tools are streamlining operations.
Major accounting firms have committed substantial resources to AI development. KPMG invested $5 billion in AI initiatives, while EY launched its EY.ai platform with $1.4 billion in backing. PwC allocated $1 billion specifically to generative AI development, and Deloitte’s Zora AI platform has demonstrated cost reductions of 25% while saving thousands of hours annually.
Despite widespread adoption, most firms lack comprehensive AI strategies. Only 14% of tax firms and 25% of audit firms have established formal AI frameworks, creating a significant competitive divide across the profession. This gap has measurable consequences: firms with formal AI strategies are twice as likely to experience AI-driven revenue growth compared to those implementing technology without structured planning.
Subscribe to our newsletter and never miss a story. No spam, ever.

The president accepted a 10-point peace plan that gives Iran nearly everything it asked for. Hours later, he contradicted its central demand. Either he did not read it or he does not care what it says.

Anthropic seals off the last third-party route into its Claude subscription tier, forcing OpenClaw and all other AI agent platforms onto metered billing.

A debugging file left in a software update exposed 512,000 lines of source code, 44 unreleased features, and a mode that hides AI involvement in open-source projects. It was Anthropic's second data exposure in a week.
Business leaders seeking to maximise AI benefits must focus on key innovations that drive competitive advantage rather than adopting technology without clear strategic direction. The financial implications extend across professional services. Law firms using AI report increased rates and revenues, though implementation costs continue rising. The combined annual impact potential for AI in US legal and tax sectors reaches $32 billion, highlighting the scale of opportunity for firms that successfully navigate implementation challenges.
However, significant barriers persist. Data privacy concerns, integration costs and compliance requirements create implementation hurdles that many certified public accountants struggle to address without formal strategic frameworks. Client awareness of AI use remains low, with only 57% of corporate clients wanting firms to disclose their AI utilisation. Professional services firms are also learning from developments in wealth advisory services where AI-powered solutions are reshaping client relationships.
The strategic divide is creating measurable performance gaps. EY’s AI agents now handle over three million tax compliance deliverables annually and streamline 30 million tax processes per year. Meanwhile, firms without structured AI approaches risk falling behind as technology-enabled competitors gain efficiency advantages and expand service capabilities.
Investment concerns are mounting as firms pour resources into AI investment sustainability that are troubling investors across multiple sectors.
Industry leaders acknowledge that AI adoption has reached a crossroads. Enterprise-wide rollouts are replacing pilot programmes as firms move beyond experimental phases toward comprehensive integration. This transition requires substantial investments in workforce training, with firms establishing dedicated AI academies and upskilling programmes to maintain competitive positioning.
The shift towards measurable business outcomes reflects broader trends where AI analytics are proving their value through demonstrated ROI and risk management capabilities. Regulatory frameworks are evolving to address AI deployment in professional services. The EU’s AI Act, taking effect in February 2026, will regulate high-risk AI systems that make crucial decisions in financial, legal and professional services. This regulatory clarity is expected to accelerate adoption among firms that have delayed implementation due to compliance uncertainties.
Market consolidation appears likely as AI-enabled firms gain competitive advantages that traditional practices cannot match without significant technology investments. Firms demonstrating measurable AI-driven performance improvements are positioning themselves to capture market share from competitors that lack strategic AI integration.
The data indicates that professional services transformation through AI is no longer a question of timing but execution quality. Firms that develop coherent AI strategies while addressing implementation barriers stand to capture disproportionate benefits, while those that continue ad-hoc technology adoption risk competitive disadvantage in an increasingly AI-enabled marketplace.

London Tech Week returns to London Olympia from 8 to 12 June with a new Deep Tech Stage spanning quantum computing, space, surgical robotics and life sciences.