2026 AI in Professional Services Report: AI adoption has hit critical mass, but now comes the tough business questions

2026-02-09 · Source: Thomson Reuters Institute · Field: Business & Management — Consulting & Professional Services, Corporate Strategy & Leadership, Operations & Process Management · Depth: Intermediate, medium

Summary

The Thomson Reuters Institute's "2026 AI in Professional Services Report" indicates that AI adoption has reached a critical mass within professional services, with organization-wide AI use nearly doubling to 40% in 2026 from 22% in 2025. Most individual professionals now utilize Generative AI (GenAI) tools, and 15% of organizations have adopted agentic AI, with an additional 53% actively planning or considering its use. Despite widespread adoption, only 18% of organizations track the ROI of AI tools, and even fewer measure its impact on broader business goals like client satisfaction or revenue. Communication gaps persist, as over half of corporate departments want their outside firms to use AI, but less than one-third are aware if they are doing so, leading to conflicting instructions for firms.

Key takeaway

For AI Product Managers developing solutions for professional services, your focus must shift from adoption to demonstrating tangible business value. You should prioritize building in robust ROI tracking mechanisms that measure impact on client satisfaction and revenue, not just internal efficiencies. Proactively engage with clients to establish clear AI usage guidelines, ensuring your offerings align with their evolving expectations and mitigate confusion.

Key insights

AI adoption in professional services is widespread, yet strategic integration, ROI tracking, and client communication lag significantly.

Principles

• AI adoption is accelerating beyond GenAI to agentic AI.
• Measuring AI's business impact requires more than operational metrics.
• Clear communication on AI use is crucial between firms and clients.

In practice

• Implement ROI tracking for AI tools beyond internal metrics.
• Initiate proactive discussions with clients about AI use policies.
• Prepare for rapid integration of agentic AI into workflows.

Topics

• AI in Professional Services
• Generative AI
• Agentic AI
• AI ROI Measurement
• AI Strategy

Best for: AI Product Manager, Product Manager, CTO, Legal Professional, Business Analyst, Executive

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Editorial summary, takeaway, and curation by AIssential. Original article published by Thomson Reuters Institute.