Adapt or be automated: professional services under AI disruption.

Even as service providers double down on AI, their clients are doing the same – sometimes reducing their reliance on outside experts as a result. In the legal industry, a newly released survey of corporate law departments found that 52% are now using generative AI, more than double the 23% from a year ago ([1]). Critically, 64% of in-house counsel said these AI tools will enable them to send less work to their outside law firms, and half expect to cut spending on external lawyers accordingly ([2]). They report using generative AI to handle tasks like drafting contracts, researching case law, and reviewing documents – work that they might have previously sent out to law firms, now accomplished in-house with AI assistance.

Similar stories are playing out across other corporate functions. CFOs and HR departments, for example, are experimenting with AI copilots for financial analysis, forecasting, and talent management tasks that once might have required a consulting engagement. As one industry commentator noted, the traditional advantage of top consulting firms – having armies of the best analysts to gather data and crunch numbers – is eroding as AI “increasingly equalizes analytical and recommendation capabilities” across the board ([3]). When a business leader can use a generative AI tool to generate market research or simulate a strategic plan in minutes, they might think twice about calling in a high-priced external team for the first pass.

Clients are also starting to push their service providers to explicitly incorporate AI. In fact, about two-thirds of corporate clients say they want their law firms and consultants to use AI to work faster and smarter, although fewer than 20% currently enforce this expectation in contracts ([4]). The message to service providers is implicit but clear: bring the efficiency of AI to the table – and pass along the benefits – or risk losing work to those who will. Enterprise clients are becoming more tech-savvy, and they will favor partners who can seamlessly integrate AI into their solutions.

The economics of professional services are being upended by AI-driven efficiency. Case in point: PwC has reportedly started cutting fees in areas where AI has sped up delivery, due to clients insisting on sharing the cost savings ([1]). As PwC’s Chief AI Officer, Dan Priest, explained, clients hearing about the firm’s use of automation would respond, 'We want our fair share of those efficiencies,' pushing the firm to adjust its pricing ([2]). In PwC’s systems integration practice, for example, implementing AI has improved productivity by roughly 30%, and those gains have “in large part” been passed back to clients via reduced fees ([3]). The traditional billable-hour model – long the bedrock of consulting and legal billing – is being challenged as routine tasks are automated and projects finish faster ([4]).

The combination of technology and client scrutiny is also slowing growth for legacy firms. Over the last two years, many companies have reined in spending on outside advisers amid economic uncertainty ([5]). All of the Big Four accounting and consulting firms have seen their once-steady growth decelerate, even leading some to reduce headcount. At the same time, smaller upstarts are entering the market with AI-native business models. These lean, tech-driven consultancies – often backed by private equity – promise faster, cheaper project delivery, putting pressure on established players to cut prices and staffing to compete ([6]).

Firms are responding by streamlining and restructuring their workforces. McKinsey & Company, for example, has confirmed plans to shed roughly 10% of its non-client-facing roles (potentially several thousand jobs) over the next 18–24 months ([7]). The firm is not just trimming roles for cost savings; it’s also deploying technology to automate them. McKinsey has begun rolling out thousands of “Lilli” AI agents internally to take over tasks – from data collection to basic analysis – that were once the domain of junior consultants ([8]). Industry watchers estimate that as many as 50% of jobs in the Big Four’s audit, tax, and advisory divisions could be eliminated by AI within just a few years ([9]). While such forecasts may be extreme, they highlight the scale of change facing traditional partnerships. The old leverage model of piling junior staff onto projects is losing its cost advantage in the face of AI, pushing firms to find new ways to maintain profit margins.

These disruptions boil down to one key insight: as AI becomes pervasive, the role of human experts is being reimagined, not erased. Leading voices in the industry argue that the emergence of ubiquitous AI has made human judgment and expertise more – not less – critical in professional services ([1]). Generative AI can instantly produce analysis, presentations, and reports that once took dozens of junior hours, but it’s people who must decide which insights truly matter, how they fit the client’s context, and what actions to take next ([2]). In other words, AI can often handle the 'what,' but only trusted human advisors can determine the 'why' – providing nuanced interpretation, creativity, ethical oversight, and senior-level accountability that machines cannot replicate ([3]).

Yet many firms are not fully prepared to maximize this human-AI partnership. In the legal sector, over half of surveyed professionals (54%) say their firms have provided no training on the responsible use of AI, with no plans to start such programs in the near term ([4]). This skills and policy gap is increasingly a liability. To remain competitive, firms must quickly upskill their workforce in AI fluency and redesign roles to focus on the uniquely human strengths that drive value in an AI-enhanced environment. The managing partner of tomorrow may be leading teams of AI-augmented professionals, where success relies on blending data-driven insights with human wisdom. By doing so – embracing AI for efficiency while doubling down on judgment, empathy, and strategic thinking – professional service organizations can navigate the current disruption and preserve their relevance and competitive edge.