FROM THE BOOK

Monetizing Agentic AI

Chapter 3 · The Response: How the Services Industry Is Responding to Agentic AI
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The Giants Respond: Billions Invested, Pyramids Under Pressure

The scale of investment by the largest professional services firms is staggering, and it accelerated sharply through 2025 into 2026. The Big Four (Deloitte, PwC, EY, and KPMG) collectively poured over $10 billion into AI initiatives starting in 2023. PwC committed $1 billion over three years to generative AI and became OpenAI’s largest enterprise customer, deploying ChatGPT Enterprise to 100,000 employees and becoming OpenAI’s first reseller to clients. KPMG followed with a $2 billion alliance with Microsoft to embed AI across audit, tax, and advisory. EY invested $1.4 billion to build EY.ai, its conversational AI platform, and expanded it in partnership with NVIDIA through 2025.

These are not experimental budgets. They are strategic bets that these firms believe their survival depends on.

The strategy consulting firms moved with equal urgency. BCG generated $2.7 billion in AI-related advisory revenue in 2024, roughly 20 percent of its $13.5 billion total, from a revenue stream that did not exist two years earlier. McKinsey reported that 40 percent of its client work involved AI. Accenture booked $3.6 billion in generative AI consulting. Each firm built proprietary internal tools.

McKinsey’s Lilli scans over 100,000 internal documents and drafts slide decks on demand, BCG built Deckster to automate PowerPoint production and GENE as its proprietary AI chatbot. Deloitte deployed PairD, whose usage surged from 25 to 75 percent of UK audit staff within a year, then launched Zora AI, a fleet of agents built in partnership with NVIDIA. Bain created Sage, built on GPT-4o, and its employees built over 19,000 custom GPTs internally.

Every major firm now loudly advertises itself as AI-transformed. Behind the press releases, a more uncomfortable reality is taking shape. These internal tools are performing exactly the work that the consulting pyramid was designed to extract value from.

The pyramid model has been the economic engine of consulting for half a century. A broad base of junior analysts does research, builds spreadsheets, and produces slides. A smaller number of managers and partners provide judgment and client relationships. When an AI tool can perform roughly 80 percent of that junior analyst work in seconds, the pyramid’s foundation starts to crack. The firms still need the judgment and the relationships at the top. They increasingly do not need the production labor at the bottom. The restructuring has already begun. In September 2025, Accenture laid off over 11,000 employees in a single quarter as part of an $865 million restructuring program. CEO Julie Sweet was blunt about the rationale: “Advanced AI is becoming part of everything we do.” The layoffs represented a deliberate swap: removing traditional consulting capacity and replacing it with AI-native capability.

The message was unmistakable: the workforce is being restructured around AI, and those who cannot adapt will be replaced by those who can.

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