TL;DR
- Accenture and Cognizant have lost more than half their market value combined, roughly $100 billion, over the past two years as investors price in AI commoditizing the kind of expertise these firms sell.
- KPMG is cutting 4% of its US advisory staff, and clients are pulling tech-assistance budgets to invest in AI directly instead of paying a firm to bridge the gap.
- That pullback is squarely aimed at the big, slow-moving firms selling standardized, hourly-billed advisory work. It is not aimed at small firms that can move faster than a Big Four practice ever will.
- Adoption is climbing fast (four in ten professionals now say their companies have embraced AI tools, twice last year’s rate), which means the window for a small firm to position itself as the AI-fluent alternative is open now, not in two years.
- The firms that win this shift will be the ones that reposition first, not the ones with the most name recognition.
Why is consulting’s $100 billion warning an opening for small firms, not a threat?
When Accenture and Cognizant lose a combined $100 billion in market value because investors think AI will commoditize their advice, most boutique firm owners assume that news is about someone else. It is not. It is the clearest signal yet that the market for expertise is being repriced, and small, nimble firms are better positioned to win the repricing than the giants losing value on it.
What’s happening to the big firms?
The mechanism is straightforward. A recent Goldman Sachs survey found clients are pulling back on technology-assistance budgets so they can put that money into AI investment directly, cutting out the paid advisory layer that used to sit between them and the technology. KPMG is responding with layoffs, not repositioning. That is the tell. A firm the size of KPMG cannot retrain a global advisory practice or rebuild its fee model in a quarter. A five-person or fifteen-person firm can.
Why is the opening real, and why is it time-limited?
Adoption is moving fast across every professional services segment. Four in ten professionals now say their companies have embraced AI tools, twice the rate from a year ago. Clients are not waiting for their incumbent advisors to catch up, they are looking for whoever can show them a faster path first. A small firm that can credibly demonstrate AI-fluent workflow design today is competing for exactly the budget that used to go to the mid-tier and Big Four advisory arms that are now cutting staff instead of adapting. That window narrows every quarter a larger competitor spends restructuring instead of retreating.
What three moves should a small firm make now?
- Name the shift to clients directly. Do not wait for a client to ask if you use AI well. Lead with a specific example of work you have redesigned around it, and the time or cost it saved them. Clients respreading their advisory budgets are actively looking for a firm willing to have that conversation first.
- Price for the new baseline, not the old one. If a diagnostic or drafting task that used to take a week now takes two days, your fee should reflect the value delivered, not the hours a Big Four competitor would still bill for the same output. This is the same fee-structure question we cover in our piece on billing when AI speeds up the work.
- Make governance and judgment your differentiator, not your afterthought. The work AI is commoditizing is the standardized, repeatable layer. What is left, and what clients will keep paying for, is the judgment call on what the output means and the accountability for getting it right. A small firm that trains its team to own that layer explicitly, rather than just running the tools, is the firm clients trust when the stakes are high.
Bottom line: the firms losing $100 billion in market value are not losing it because they used AI badly. They are losing it because they were too big and too slow to reprice around it in time. Small professional services firms do not have that problem. The ones that move now, on positioning, pricing, and where they invest in judgment over volume, are the ones that pick up the business the giants are shedding.
Sources:Reuters Breakingviews, “Consultants confront AI ‘heal thyself’ moment”
Aspen Management Group works with boutique advisory firms to clarify key workflows, improve efficiency, layer in AI where it adds value, and build governance and training around that change
Scott spent 20 years running a managed IT services practice serving professional services firms across the DC Metro area, and has worked in technology for 35 years. AMG helps boutique professional services firms get practical value out of AI.