There is a dangerous assumption taking hold in professional services: that adopting AI is the same as benefiting from it. The 2026 Future of Professionals report from Thomson Reuters paints a sobering picture of an industry where usage has surged, but value remains frustratingly out of reach. The consequences are now measurable, and they are mounting.
The headline figure is arresting: up to $143 billion in client revenue is at risk in the United States alone. This is not speculative. Nearly a third of corporate clients are preparing to reassess their provider relationships within the next twelve months, with a third of those putting more than $1 million in annual work under review based on AI delivery.
Clients have made their position clear: 78% now consider AI-enabled quality improvements essential, yet just 6% believe most providers are actually delivering.
The usage paradox
Let us dispel the myth that professionals are resisting AI. In Asia and Emerging Markets, 91% of professionals are already using AI tools every week. The problem is not adoption; it is translation. Organisations are struggling to convert usage into tangible value. Ninety per cent of professionals in the region believe their organisations are falling short of what AI can deliver.
Even where an AI strategy exists, execution is lagging. A quarter of professionals say ambitions are not reflected in their day-to-day work, and nearly one in three say their organisation still lacks a clear strategy. This gap between promise and reality is not merely frustrating; it is expensive.
The shadow AI crisis
When organisations move too slowly, professionals find their own solutions. One-third of lawyers, accountants, and compliance professionals are using AI that their organisation has not approved. Among those who say their firm is moving too slowly on AI, that figure rises to 41%.
This is not a minor compliance concern. These unsanctioned tools create invisible, unmanaged risk that organisations cannot monitor or control. The irony is that professionals are seeking AI precisely because they need to meet high standards.
Ninety-six per cent say their AI must safeguard confidential data, 94% require verified authoritative content, and 90% need outputs they can explain and defend. Yet 41% lack access to professional-grade tools that meet these standards.
Talent on the move
The talent implications are equally concerning. One in four professionals who perceive a gap between AI capability and their organisation's delivery are considering leaving within two years. Among those, 13% are actively planning an exit within twelve months.
Senior leaders appear dangerously complacent. Almost half believe meaningful talent pressure is still at least three years away. This disconnect suggests that many firms are underestimating the urgency of the moment. The evidence suggests otherwise: 62% say access to professional-grade AI would be a factor in accepting a new role, and nearly one in three would turn a role down without it.
The fiduciary standard
Steve Hasker, president and CEO of Thomson Reuters, draws a crucial distinction: "Not all AI is created equal. In professions where there is real liability, the standard has to be much higher. When outputs shape legal judgments, regulatory filings, or client advice, 'almost right' isn't good enough."
This is the heart of the matter. Professional services demand what Thomson Reuters calls Fiduciary‑Grade AI: technology professionals can verify, trust, and ultimately stand behind. General-purpose tools, however sophisticated, cannot meet this standard. They lack the verified content, explainability, and confidentiality that regulated professions require.
Closing the gap
The report identifies a clear divide. Firms that are operationalising AI are pulling ahead. Those that are not are taking on real risk across talent, clients, and financial performance. The execution gap is not a technology problem; it is a business imperative.
For firms still hesitating, the message is unambiguous. Clients are demanding AI-enabled quality, talent is seeking it, and competitors are delivering it. The cost of falling behind is no longer theoretical. It is measured in billions of dollars, and it is accumulating now.
