McKinsey Rethinks Fees as AI Pushes 99-Cent Outcome Pricing
Updated
Updated · Financial Times · May 24
McKinsey Rethinks Fees as AI Pushes 99-Cent Outcome Pricing
2 articles · Updated · Financial Times · May 24
McKinsey is shifting more of its pricing toward results such as cost cuts, profit gains and market-share growth, as clients push to pay for outcomes rather than consultant hours.
AI is driving that change by making traditional billable hours a weaker measure of value, while clients in consulting, law and audit demand that productivity gains be reflected in fees.
The model makes revenue less predictable, helping explain why McKinsey is moving a larger share of partner pay into equity and conserving more cash.
Outcome pricing is already spreading across services: Fin charges 99 cents per customer case resolved, iDenfy bills £1 per identity check, and Salesforce sells task-based credits in bulk.
Billable hours and subscriptions are unlikely to disappear, but AI is expected to expand outcome-based pricing despite the risk that wars, tariffs or client execution problems distort results.
If AI can't solve attributing success, is outcome-based pricing just a marketing gimmick for a cheaper rate?
Will all professional jobs—from lawyers to accountants—soon be paid based on results rather than hours worked?
With AI automating analysis, are top consultants now just highly-paid risk managers for corporate executives?
McKinsey’s AI-Driven Shift: How Outcome-Based Consulting Now Accounts for 25% of Global Fees
Overview
McKinsey & Company is undergoing a major transformation, moving away from traditional billable hours to an outcome-based consulting model. This shift is driven by the extensive integration of artificial intelligence, which is reshaping both the firm and the broader consulting industry. By embracing its own 'Rewired transformation' with clear targets and leadership from senior partner Rodney Zemmel, McKinsey aims to stay competitive. A key example is its collaboration with Indosat and Google Cloud to create an 'AI-native organization,' showing how AI is now central to delivering measurable results and redefining value in professional services.