Private Equity Bets Big on AI Services (While the Consulting Model Breaks)

Executive Editor Tim King discusses why Blackstone, Goldman Sachs, and Hellman & Friedman are backing Anthropic’s new AI services venture—and why this move represents a direct challenge to the traditional consulting and billing model that has defined enterprise services for decades.

For decades, the consulting industry has operated on a model that is as familiar as it is profitable. Sell expertise, bill for time, and deliver recommendations. The client pays for analysis, frameworks, and strategic guidance, then carries the burden of execution long after the engagement ends.

The Billing Model That Built Consulting

Even when implementation is included, it is still governed by the same underlying mechanic: human effort multiplied by billable hours. It is a model built for a world where expertise is scarce, change is relatively slow, and insight can be packaged and reused. That world no longer exists.

AI Breaks the Economics of Time-and-Materials

The decision by Blackstone, Goldman Sachs, and Hellman & Friedman to back an AI services venture with Anthropic is not simply a bet on artificial intelligence. It is a rejection of the economics that underpin traditional consulting. It reflects a growing understanding that billing for human time is fundamentally misaligned with a world where intelligent systems can operate continuously, improve autonomously, and deliver compounding value without proportional increases in cost.

The contrast is structural:

• Traditional consulting scales linearly with headcount
• AI services scale with deployment and system performance
• Consulting monetizes effort
• AI services monetize outcomes

Once that shift is understood, the rest follows quickly.

Why Private Equity Is Moving First

Private equity firms are uniquely positioned to act on this shift because they are not passive observers of enterprise performance. Their portfolios consist of operating companies where efficiency gains, margin expansion, and operational improvements translate directly into financial return. In that context, the appeal of AI services is immediate. They do not produce recommendations that may or may not be implemented. They produce measurable results inside the business.

By backing an AI services firm tied to Anthropic, these firms are effectively building an execution layer that can be deployed across their portfolios. This creates a controlled environment where AI adoption is not theoretical, delayed, or fragmented, but enforced, measured, and optimized at scale. What would take years for individual enterprises to achieve can be accelerated across dozens or hundreds of companies simultaneously.

The Collapse of Advisory as a Standalone Product

The traditional consulting model relies on three core assumptions: that expertise must be purchased externally, that insight can be delivered in discrete engagements, and that execution remains separate from advisory. AI services collapse those assumptions.

Expertise becomes embedded in systems. Insight is generated continuously through operation. Execution is no longer downstream from strategy. It is the product itself.

In this environment, the value of static deliverables diminishes rapidly. Slide decks, frameworks, and post-engagement recommendations cannot compete with systems that are actively improving the business in real time. The more organizations experience continuous execution, the harder it becomes to justify episodic advisory.

When Outcomes Replace Hours

Time-and-materials billing begins to break down when clients can access systems that operate without interruption, adapt instantly, and improve performance without requiring a new engagement every quarter. The economic model becomes increasingly difficult to defend when value is no longer tied to effort.

• Systems operate 24/7 without incremental labor costs
• Performance improves continuously rather than at project intervals
• Results are measurable and compounding
• Engagement cycles are replaced by ongoing execution

At that point, paying for hours starts to feel disconnected from paying for outcomes.

The New Control Point in Enterprise AI

This is why capital is shifting. Infrastructure enables compute. Models enable intelligence. But it is the services layer that determines whether any of it actually works in practice. That layer, historically owned by consulting firms, is now being rebuilt around AI-native execution.

Companies that control both intelligence and implementation are positioned to capture a disproportionate share of enterprise value. Anthropic’s move into services, backed by private equity, is an early signal of how that control point is being redefined.

What This Means for Enterprise Leaders

For enterprise leaders, the implication is straightforward but uncomfortable. The question is no longer whether to engage consultants or adopt AI. It is whether the organization is structured to move beyond advisory altogether.

• External insight without embedded execution will lag
• Static strategies will struggle to keep pace with dynamic systems
• Organizations that operationalize AI continuously will outcompete those that do not

Those that remain dependent on traditional consulting models may still receive high-quality insight, but they will struggle to match the speed, continuity, and compounding impact of systems already operating inside their competitors.

The Bottom Line

Anthropic’s partnership with Wall Street firms is not just another investment headline. It is an early indicator that the market is beginning to reprice expertise itself. When execution becomes continuous and embedded, billing for time starts to look less like a premium service and more like a legacy constraint.

Private equity is not waiting for that transition to fully materialize. It is building the alternative now.

And once outcomes replace hours as the primary unit of value, the old model does not disappear overnight. It simply becomes harder to justify with each passing cycle of real-world results.

A Direct Shot at the Consulting Model

• Anthropic is launching a ~$1.5B AI services venture backed by Wall Street firms
• Blackstone, Goldman Sachs, and Hellman & Friedman are investing in execution—not advisory
• The model embeds AI directly into enterprise operations rather than delivering recommendations
• Traditional firms like McKinsey & Company, Bain & Company, and Accenture rely heavily on time-and-materials billing
• The shift signals movement toward outcome-driven, continuously operating AI systems