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Anthropic’s new Wall Street-backed AI venture is not simply another partnership announcement. It is a signal that enterprise AI is moving from software licensing into the territory traditionally owned by consulting firms.

The company behind Claude has partnered with Blackstone, Goldman Sachs, and Hellman & Friedman to launch a new AI-native enterprise services company. The goal is to help businesses bring Claude into core operations through embedded engineering support, custom workflows, and long-term implementation work.

That may sound like a normal enterprise AI rollout. It is not. The structure looks much closer to a consulting business built around AI deployment, except the “consultants” are not only giving advice. They are expected to build and integrate automation directly inside companies.

The Claim: Is Anthropic Replacing McKinsey?

The viral framing is that Anthropic is partnering with Goldman Sachs and Blackstone to replace McKinsey with AI.

That is overstated, but not meaningless.

McKinsey, Bain, BCG, Accenture, Deloitte, and other consulting firms are not going to disappear because Anthropic launched a new venture. These firms have deep client relationships, regulatory knowledge, industry expertise, implementation teams, and decades of trust with executives.

But the threat is real in a different way. A large part of consulting work involves diagnosing operations, writing recommendations, building models, preparing reports, mapping workflows, and helping companies execute transformation projects. AI can now attack many of those activities directly.

The more accurate interpretation is this: Anthropic is not replacing McKinsey overnight. It is attacking the part of consulting where expensive human teams turn business problems into repeatable analysis, workflows, and implementation plans.

Key idea: The consulting threat is not that AI gives better advice in a vacuum. It is that AI-native teams can build working systems faster than traditional consultants can produce transformation decks.

What Anthropic Actually Announced

Anthropic says the new company will work with mid-sized businesses across sectors to bring Claude into important business operations. Applied AI engineers from Anthropic will work with the new firm’s engineering team to identify high-impact use cases, build custom solutions, and support customers over time.

Blackstone’s announcement describes the company as a standalone AI-native enterprise services firm with Anthropic engineering and partnership resources embedded directly into the team. Reuters reported that the venture is expected to be worth around $1.5 billion, with Anthropic, Blackstone, and Hellman & Friedman each expected to invest about $300 million, and Goldman Sachs reportedly contributing around $150 million. :contentReference[oaicite:0]{index=0}

The important part is not only the money. It is the customer channel.

Blackstone and Hellman & Friedman own or influence large portfolios of companies. Goldman Sachs has deep relationships with corporate clients, investors, and financial institutions. Anthropic brings the AI platform and technical talent. Put together, the venture gives Anthropic a route into many companies that may not have the internal AI staff to deploy Claude effectively on their own.

Why Private Equity Wants This

Private equity firms care about AI for a simple reason: operational improvement.

A private equity firm buys or invests in companies, then tries to make them more valuable. That can mean cutting costs, improving margins, modernizing software, automating workflows, increasing sales productivity, improving customer support, or making management more data-driven.

AI fits directly into that playbook.

If Claude can help a portfolio company automate customer service, accelerate software development, improve financial analysis, summarize legal documents, streamline procurement, or reduce back-office labor, the effect is not theoretical. It can show up in margins.

That makes the venture strategically important. Anthropic is not only selling AI tools to random customers. It is entering a channel where the owners of businesses are already looking for operational leverage.

Why This Hits Consulting So Directly

Traditional consulting firms often sell transformation: digital transformation, operating-model transformation, cost transformation, finance transformation, technology transformation.

AI-native enterprise services could compress that model.

Instead of paying a large team to spend months mapping workflows and recommending software changes, a company may want a smaller AI engineering team to come in, connect to internal tools, build Claude-powered agents, automate routine tasks, and measure results directly.

That changes the buying logic.

The old consulting question was: What should we do?

The new AI services question is: What can we automate this quarter?

That is a much more dangerous question for consulting firms because it shifts the value from advice to execution.

McKinsey Is Not the Only Target

The viral post singles out McKinsey, but the competitive pressure is broader.

This kind of venture could affect:

• Management consulting, especially operational transformation and productivity studies.
• IT consulting, where firms integrate enterprise software and automate workflows.
• Business process outsourcing, where labor-heavy back-office work can be replaced or reduced.
• Software vendors, if custom AI agents replace some traditional SaaS workflows.
• Internal strategy teams, if AI systems make analysis and reporting cheaper.

The biggest pressure may fall on firms that rely on large junior teams to gather data, build slides, model scenarios, write summaries, and coordinate implementation. Those tasks are exactly where AI can reduce headcount or change the staffing pyramid.

The Consulting Model Has a Labor Pyramid Problem

Consulting firms are built around leverage. Senior partners sell the work. Managers coordinate it. Junior consultants and analysts do much of the research, modeling, interviews, benchmarking, documentation, and slide production.

AI challenges that pyramid.

If a small team using Claude can produce first drafts, analyze documents, build models, summarize interviews, compare vendors, generate implementation plans, and write code, then the need for large junior teams may shrink.

That does not eliminate senior judgment. Executives still need trusted advisers. But it weakens the economic foundation of the traditional consulting delivery model.

The future consulting firm may need fewer generalist analysts and more domain experts, AI engineers, workflow architects, security reviewers, and change-management specialists.

Why Anthropic Needs Services

There is also a reason Anthropic would want to move in this direction.

Enterprise AI is hard to deploy. Companies do not get full value from a model just by buying access to it. They need data connections, security reviews, workflow design, employee training, tool integrations, governance, evaluation, and monitoring.

That is where AI companies face a problem. A model can be powerful, but customers often need help turning it into business value.

This new venture gives Anthropic a services layer without turning Anthropic itself entirely into a consulting company. It can keep building Claude while the venture helps enterprises implement Claude inside actual operations.

That is important because the AI market is becoming less about demos and more about deployment. The winners will not only be the labs with the best models. They will be the companies that can make models useful inside messy organizations.

What This Means for Mid-Sized Companies

The focus on mid-sized businesses is important.

Large enterprises can hire AI teams, build internal platforms, and negotiate directly with model providers. Smaller companies may not have the budget or technical staff to do that. Mid-sized firms sit in the middle: they have enough operational complexity to benefit from AI, but often not enough internal capacity to deploy it well.

That makes them ideal customers for an AI-native services firm.

Possible use cases include:

• Finance: automated reporting, variance analysis, invoice review, forecasting support.
• Legal: contract review, clause comparison, diligence summaries.
• Sales: account research, proposal drafts, CRM cleanup, lead prioritization.
• Customer support: triage, knowledge-base answers, escalation summaries.
• Operations: procurement review, vendor comparison, workflow automation.
• Engineering: code assistance, bug triage, documentation, internal tooling.

If the venture can package these into repeatable deployment patterns, it could scale faster than traditional bespoke consulting.

The Risk: AI Transformation Can Become Expensive Theater Too

There is a trap here.

Traditional consulting is often criticized for producing expensive reports without enough execution. AI services could fall into the same pattern if companies buy the branding without doing the hard work of integration.

An AI agent is only useful if it fits the workflow, has access to the right data, is secure enough for the task, can be evaluated, and actually changes how people work.

Otherwise, companies will end up with AI pilots that look impressive in demos but never affect productivity.

The best version of this model is practical and measurable. Fewer abstract “AI strategy” workshops. More direct workflow changes. Less hype. More automation tied to operating metrics.

What Traditional Consultants Should Do

Consulting firms should not dismiss this.

They still have advantages. They know industries. They know executives. They understand regulation, incentives, organizational politics, and implementation risk. But they need to move faster from recommendation to working system.

The firms that adapt will become AI implementation companies themselves. The ones that keep selling AI strategy decks without technical execution will look increasingly outdated.

The consulting market is not going away. It is being repriced around automation.

The Bottom Line

Anthropic’s partnership with Blackstone, Goldman Sachs, and Hellman & Friedman does not mean McKinsey disappears tomorrow.

But it does show where enterprise AI is heading. The next big market is not just chatbot subscriptions. It is AI implementation inside real companies, backed by capital, engineering talent, and access to business owners who want measurable productivity gains.

That puts AI labs closer to the consulting industry than ever before.

The old consulting model sold expertise. The new model may sell operational leverage.

If Anthropic can help companies replace slow processes with working Claude-powered systems, the threat to consulting will not come from better slide decks. It will come from fewer reasons to buy them.

Sources

• Anthropic: Building a new enterprise AI services company
• Blackstone: Anthropic partners with Blackstone, Hellman & Friedman, and Goldman Sachs
• Reuters: Anthropic nears $1.5 billion AI joint venture with Wall Street firms