Twelve months ago, we published our first snapshot of how UK professional services (starting with the legal profession) were using AI. It was a time of experimentation – firms testing chatbots, trying out prompt engineering, and looking for quick efficiency gains.

Since then, we have tracked this rapidly shifting landscape, publishing an update in September 2025. By January 2026, when we released our ‘Broken Ladder‘ paper, we issued a stark warning: aggressive automation of routine tasks was cutting off the entry-level training ground for the next generation. We argued that 2026 had to be the year we fixed this gap.

We are now almost midway through 2026, and our latest research shows the problem isn’t going away – it’s getting bigger. The gap between what technology can do and how firms need to reorganise is widening. The sector is rapidly moving from simple AI tools to Agentic AI – autonomous systems capable of handling complex, complete tasks on their own.

Our new report, “AI, Human Capital and the Future of Professional Services“, is our most comprehensive look yet at this transformation. It moves beyond adoption rates to tackle the structural shifts every leader must address.

The Billable Hour Problem

The biggest issue facing traditional firms is their reliance on charging for fee earner time. AI is now so efficient that it’s directly undermining this model, creating a massive revenue gap that simply billing more hours won’t fix.

The challenge isn’t a technical one; it’s structural. Legacy firms rely on a ‘human premium’ for high-value work, but the ladder to develop that human talent is broken. Firms are trapped, needing senior expertise while automating the very roles that create it.

Finding the New Human Value

The talent pipeline crisis we identified in the ‘Broken Ladder’ paper back in January this year is intensifying. Junior professionals, previously tasked with research, drafting, and document review, are finding their roles automated away.

Our report provides clear intelligence on how firms can rebuild this training pipeline. We examine the need for structured simulated environments where human skills can be built without relying on billable client work.

New Competitors and Risks

We also highlight two growing threats. First, the rise of ‘Shadow AI’ – unvetted consumer AI tools used by staff, which creates massive data security and compliance risks.

Second, we are seeing the aggressive emergence of ‘NewMods’ – AI-first competitors without the baggage of large human leverage models. These new entrants can offer high-accuracy work at prices legacy firms cannot match.

Re-Architecting the Transition

The message of this new research is clear: simple experimentation is over. 2026 is no longer about tool selection; it is about fundamental restructuring. Firms must rethink how they combine technology and human expertise to justify their fees.

Navigating this change requires a roadmap. Our report provides it.

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