Thomson Reuters 2026 Future of Professionals report reveals a $143 billion AI value gap hitting lawyers, accountants, and professional service firms. Here is what to do about it.
Ido Cohen · Published 2026-06-25 · AI for Service Business
Your clients are already grading you on AI — and most professional service firms are failing the test. Thomson Reuters released its 2026 Future of Professionals report on June 22, and the headline number is brutal: 78% of corporate clients now say AI-enabled quality improvements from their service providers are essential, yet only 6% believe most providers are actually delivering them. For lawyers, accountants, financial advisors, CPAs, compliance consultants, and anyone else who sells expertise for a living, that gap is not a product roadmap problem. It is a client-retention emergency.
The gap between AI ambition and AI reality is now costing professional service firms money, clients, and staff — simultaneously.
Thomson Reuters surveyed 1,816 professionals across law, tax, audit, accounting, compliance, risk, and global trade in March and April 2026, spanning 62 countries. The study is in its fourth year and is the most comprehensive annual benchmark of AI adoption in professional services. According to Thomson Reuters, the findings show "a widening gap between AI ambition and reality, one that is now carrying material consequences with up to $143 billion in client revenue at risk in the U.S. alone."
Three findings stand out:
1. The adoption number is high. 74% of professionals now use AI tools several times a week, and 44% use them multiple times a day — so the problem is not that service firms are ignoring AI. They're using it. They're just not converting it into visible client value.
2. The delivery number is catastrophic. 91% of professionals believe their own organizations are falling short of what AI could deliver — a gap Thomson Reuters labels the "AI value gap." The reason for the gap, the report says, lies with the organizations deploying the AI, not with the tools themselves.
3. Clients are ready to act on their disappointment. Within 12 months, 32% of corporate clients are reconsidering their professional service provider relationships, with a third saying this will put more than $1 million in annual work at risk. Applied to the U.S. legal and CPA markets combined, that math produces approximately $143 billion in client revenue now in active reconsideration.
This is not a big-firm problem. The gap hits hardest at the firms that have the smallest margin for error.
Enterprise law firms and Big Four accounting firms have had AI task forces, dedicated tech budgets, and vendor relationships since 2023. They are still failing the client expectations test — only 6% of providers are seen as delivering. That means even early movers are getting this wrong.
For independent attorneys, two- or three-CPA shops, RIA (registered investment advisory) firms, financial planners, and boutique compliance consultancies, the pressure is the same but the recovery window is smaller. A mid-market corporate client reconsidering a $500,000 annual legal or accounting relationship is not a rounding error. It is the business.
Thomson Reuters CEO Steve Hasker framed the divide plainly: "Firms that are operationalizing AI are pulling ahead. Those that aren't are starting to take on real risk, across talent, clients, and financial performance."
The study also flags a talent risk that service-business owners tend to underestimate. One in four professionals say they would consider leaving within two years if they do not see the AI value they expect. Thomson Reuters puts the estimated replacement cost at $232,000 per professional — and that's before you account for the institutional knowledge and client relationships they take with them.
One in three professionals are already using AI tools their organization has not approved.
This is the most underreported finding in the entire report. Thomson Reuters found that 91% of professionals believe their organizations are falling short on AI delivery. Their response? They go around the organization. Among professionals who say their firm is moving too slowly on AI, 41% admit they quietly turn to unofficial tools.
The practical risk here for a service business owner is not abstract. A paralegal running a client document through an unapproved AI tool may be violating confidentiality obligations. An accountant using an unauthorized chatbot to draft a tax memo may be exposing privileged client data. A financial advisor using an unofficial AI assistant to prepare a client report may be creating unmonitored, unverifiable outputs that contradict their fiduciary duty.
Thomson Reuters calls this "shadow AI," and the report is direct about the consequence: it creates "invisible, unmanaged risk" that organizations cannot monitor or control.
This is the loop: firms move too slowly on AI → employees go rogue with unapproved tools → the firm faces governance and liability risk it cannot see → client trust erodes anyway. The only exit from the loop is faster, deliberate execution.
35% of professionals say their firm's AI ambitions are not reflected in their day-to-day work. Nearly one in five say their organization still lacks a clear AI strategy at all.
Having an AI strategy on paper and executing it into daily workflows are two entirely different things. The report found that when a clear AI strategy is in place and professionals can see it working, the results flip sharply: AI meets or exceeds expectations for the majority of professionals in those organizations, compared to just 22% where no strategy exists.
The failure mode is not adoption. Professionals are adopting. The failure mode is deployment: choosing the right tools for the job, ensuring outputs are verifiable, building AI into workflows in ways that actually change client experience — not just internal efficiency.
Thomson Reuters frames the solution with a term worth understanding: Fiduciary-Grade AI. The company defines it as AI built on authoritative, domain-specific content; rigorous privacy and security; subject-matter expertise; transparent and verifiable outputs; and access to real-time human support. Whether you use Thomson Reuters' tools or not, that framework is the right checklist for any professional service firm evaluating AI. Garbage-in, garbage-out applies harder in a context where "almost right" advice can cause a client a regulatory violation or a financial loss.
Here is the split that is forming in professional services right now, and it is happening fast:
The firms on the left column are the ones the 6% of providers who are actually meeting client expectations look like. The firms on the right column are the ones contributing to the $143 billion in revenue now at risk.
One more number worth sitting with: 26% of firms surveyed have already started offering higher-value advisory and consulting services in the last 12 months, according to Thomson Reuters' broader AI in professional services research. The billing model is changing. One-third of firms are already increasing the proportion of work billed through methods other than hourly rates. If you are still billing purely by the hour and treating AI as a back-office efficiency tool rather than a client-value driver, your competitors are moving into territory you have not defended yet.
The report gives you the benchmark. Here is how to act on it in the next five business days:
1. Run a shadow AI audit. Ask your team — honestly, or anonymously — which AI tools they are using that the firm has not approved. You will find them. The question is whether you find them before a client data incident does.
2. Pick one client-facing workflow and AI-enable it visibly. Not an internal process. A client-facing one. Draft reviews, research summaries, compliance checklists, financial plan narratives — something the client can see. Visible AI quality is what the 78% of clients are asking for. Internal efficiency does not move that number.
3. Establish a review standard for AI outputs. Every AI-generated deliverable that goes to a client needs a named human reviewer with a clear accountability checkpoint. This is the difference between "we use AI" and "we use Fiduciary-Grade AI." Document the process. It is your defense if a client ever questions an output.
4. Talk to your best clients about it. Ask them directly: "Are you seeing the difference in quality or speed from the tools we're using?" If they are not, that tells you something. If they are, ask them to say so in a review — AI-enabled quality is becoming a buying criterion, and it should show up in your reputation signals.
5. Set a 90-day AI deployment milestone. Not a strategy document. A deployed workflow change. The report is clear that having a strategy matters, but only when professionals can see it working in their daily roles. Give your team something concrete to point to before Q3.
What is the "AI value gap" Thomson Reuters identified?
The AI value gap refers to the disconnect between how widely professionals are using AI tools and how much actual value those tools are delivering to clients and organizations. Thomson Reuters found that 74% of professionals use AI tools multiple times a week, but 91% say their organizations are falling short of what the technology could deliver. The gap is not about adoption — it is about execution, governance, and making AI improvements visible to clients.
Why is shadow AI a legal and financial risk for professional service firms?
Shadow AI refers to AI tools that employees use without organizational approval. Thomson Reuters found that one in three professionals are doing this, rising to 41% at firms perceived as slow on AI adoption. For professional service firms, the risk is concrete: unapproved tools may not meet confidentiality or privilege standards, outputs may be unverifiable, and the firm has no oversight or audit trail. In regulated industries like law, tax, and financial advisory, that creates direct liability exposure.
How does the Thomson Reuters report affect small professional service firms, not just large ones?
The $143 billion revenue-at-risk figure applies across the entire U.S. legal and CPA market, not just large firms. The client behavior driving it — 32% of corporate clients reconsidering provider relationships within 12 months — affects any firm with business clients, regardless of size. In fact, smaller firms have less redundancy if a key client leaves, making the risk proportionally larger than it is for a 500-attorney firm.
What is Fiduciary-Grade AI and do I need special software to achieve it?
Fiduciary-Grade AI is a standard Thomson Reuters defines as AI built on authoritative domain-specific content, with rigorous privacy protections, subject-matter expertise built in, and verifiable, transparent outputs. You do not need Thomson Reuters' specific products to meet this standard — but you do need to evaluate any AI tool you use against those criteria before using it with client work. The standard is the checklist, not the brand.
What should a professional service firm do if it has no AI strategy at all?
Start with one workflow, not a strategy document. Thomson Reuters found that AI meets or exceeds expectations at organizations where a clear strategy is in place, compared to just 22% where none exists — but the gap is closed by execution, not planning. Pick one client-facing workflow, choose an approved, verifiable AI tool to assist with it, build in a human review step, and measure the output quality over 60 days. That is a real AI strategy. A slide deck is not.
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