Shared from Saga · AI signal
Operating modelRelevance · high2026-06-30
Thomson Reuters·7 min read

AI is now table stakes in professional services – but value is lagging

Professional ServicesFinancial ServicesPublic Sector

Thomson Reuters’ 2026 AI in Professional Services Report finds rapid AI adoption across law, tax, and consulting, but a widening gap between firms achieving measurable impact and those stuck in experimentation. The report highlights mounting risks around client expectations, talent attraction, and governance when AI strategy is not translated into delivery and measurement.

Why it matters for leaders
As commercial lead, you cannot treat AI as an IT experiment; it is now a commercial hygiene factor. The firms turning pilots into production workflows are already differentiating on speed, consistency, and perceived sophistication. Your revenue plans, pricing, and win themes need to assume that clients will benchmark you against competitors’ AI-enabled delivery as the new baseline.
Opportunity signal

Reframe AI from a cost-saving initiative to a revenue and differentiation lever: use one or two client-visible, AI-augmented service journeys (e.g., proposals, research, contract or policy review) as your first commercial MVPs, with clear before/after metrics on cycle time and margin.

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Risk signal

If AI remains fragmented and unmeasured, you risk being priced against more automated competitors while carrying legacy delivery costs, and you may lose strategic clients who now see AI capability as a qualifier, not a bonus.

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