Egan-Jones Weighs AI Threat to Firms That Bill Expertise by the Hour

Egan-Jones, the credit rating agency, has turned its analytical spotlight on a business model under strain: firms that sell expertise by the hour and now face pricing pressure from artificial intelligence.

The review, flagged by StreetInsider, targets the economics of professional-services businesses — consultancies, advisory shops and other knowledge firms — whose revenue depends on billable hours rather than products. AI tools can now draft, analyze and research at a fraction of the time a junior professional needs, and that directly attacks the hour-based billing engine.

Why does the billable-hour model face AI pressure?

The core issue is substitution. When a client can get a first-draft analysis, a legal summary or a market briefing from an AI system in minutes, the case for paying hundreds per hour for the same output weakens. Egan-Jones frames this as a structural question for firms whose margins rest on how many hours their professionals can sell.

That pressure hits hardest at the bottom of the pyramid. Junior staff traditionally cut their teeth on exactly the research and drafting work AI now handles. Firms must decide whether to retrain that layer, thin it out, or reprice it.

What does this mean for how these firms make money?

Three fault lines stand out in the model Egan-Jones is examining:

• Volume risk. Fewer billable hours per engagement means less revenue per client, unless firms raise rates or restructure deals.
• Pricing shift. Clients increasingly push toward fixed-fee or outcome-based contracts, moving risk from the buyer to the seller of expertise.
• Talent economics. Firms that hire large incoming classes to work the billable bench may find that bench no longer pays for itself.

The rating agency's interest signals that this is now a credit question, not just a strategy-deck talking point. Agencies examine what threatens a firm's ability to service debt and sustain cash flow. AI-driven price erosion in professional services qualifies.

Who should watch this review?

Anyone with exposure to professional-services firms — lenders, bondholders, private-equity owners and the firms' own leadership — has a stake in how Egan-Jones scores the risk. A rating agency publicly working through the issue suggests downgrades or outlook changes could follow for firms that can't adapt their pricing.

The counterargument exists inside these firms too: AI can make senior experts more productive, letting them sell judgment rather than hours. Firms that shift to value-based pricing may defend margins even as volume falls.

Egan-Jones has not named specific companies in the examination flagged by StreetInsider, so the immediate impact is framing rather than a verdict. But when a ratings house starts asking whether an industry's core revenue unit survives contact with AI, the market tends to price that question before the answer arrives.