Summary:Anthropic’s new $1.5 billion venture with Blackstone, Hellman & Friedman, Goldman Sachs Asset Management, Apollo and others is not just another AI services announcement. It signals a deeper structural shift: private equity firms are increasingly trying to internalise AI transformation capability instead of outsourcing it entirely to traditional consulting firms.
This introduces a new competitive model for consulting – one built around capital ownership, embedded implementation, and AI-enabled operating leverage.
There has been no shortage of firms claiming they will become the “McKinsey of AI.”
Most of those claims are marketing.
Anthropic’s newly announced venture feels more consequential because the structure behind it is materially different. The company has partnered with Blackstone, Hellman & Friedman, Goldman Sachs Asset Management, Apollo, General Atlantic, Sequoia Capital and others to launch a new AI-native enterprise services firm reportedly backed with roughly $1.5 billion.
At first glance, the announcement looks like another large AI infrastructure bet. In reality, it signals something more structural about where enterprise AI — and potentially consulting itself — is heading.
This is not simply a software partnership or another AI implementation play. It is an attempt to redesign how enterprise transformation gets delivered.
The key shift is this:
Private equity firms appear increasingly interested in internalising AI transformation capability instead of outsourcing large parts of it to traditional consulting firms.
That is a very different model.
The Real Constraint Was Never Model Quality
A large amount of AI discussion still centres around model capability. Which model is smarter, faster, cheaper, or more capable tends to dominate headlines and investment narratives.
Inside enterprise environments, however, model quality was rarely the main bottleneck.
Most organisations already have access to highly capable AI systems. The harder challenge has been connecting those systems to real operational change inside large businesses. Enterprise AI requires workflow redesign, organisational buy-in, implementation sequencing, governance, and integration into messy operational environments.
The real constraint has been aligning three things simultaneously:
- powerful AI systems
- organisations willing to deploy them
- implementation capability able to redesign workflows around them
Most market participants only control one or two parts of that equation. AI firms often possess strong technology but limited implementation depth. Consulting firms understand transformation but do not own frontier AI infrastructure. Enterprise buyers have demand but frequently lack internal capability to execute at speed.
This venture combines all three layers into one structure.
Anthropic brings the models. Private equity firms bring large portfolios of companies with immediate deployment demand. The new entity appears designed to provide the implementation capability between the two.
That combination matters because enterprise AI adoption increasingly looks less like software procurement and more like operational redesign at scale.
Blackstone President Jon Gray described portfolio companies asking:
“Can you help me get there? Can you help me change the workflow?”
That is the real enterprise AI market.
Not prompts. Not copilots. Workflow redesign inside operating businesses.
This Introduces a New Consulting Dynamic
Across many previous Strat-Bridge articles, I have argued that consulting is steadily moving closer to execution. Clients increasingly expect firms not simply to define strategy, but to help ensure delivery actually happens.
This Anthropic structure pushes that logic one step further.
The important signal is not merely that AI companies are entering consulting. Variations of that trend already exist. OpenAI, Palantir, Accenture and others have all moved deeper into enterprise transformation and implementation work over the past two years.
The more significant development is that capital owners themselves are now trying to build transformation capability around their own ecosystems.
Historically, private equity firms often relied heavily on external consulting firms for operational improvement, procurement redesign, pricing transformation, AI adoption programmes, technology implementation, and performance acceleration initiatives inside portfolio companies.
Now they increasingly appear interested in owning more of that capability directly.
That creates a structurally different competitive dynamic because private equity firms possess several advantages traditional consulting firms typically do not:
- captive demand across portfolio companies
- direct financial incentives tied to operational improvement
- access to proprietary operational data across industries
That combination creates a much tighter feedback loop between technology deployment, implementation, and financial outcomes.
The traditional consulting relationship starts to change once the client itself begins building internal transformation infrastructure at scale.
The Delivery Model Is Changing Again
This development also reinforces a broader pattern already emerging across consulting.
The traditional consulting pyramid relied heavily on leverage. Large teams performed analytical and coordination work beneath a smaller senior layer. AI increasingly compresses much of that structure by reducing the cost and time required to produce consulting-style outputs.
As analytical work becomes cheaper and faster, value shifts toward execution, orchestration, and operational accountability.
The firms gaining momentum in this environment increasingly share similar characteristics:
- smaller senior-heavy delivery teams
- tighter integration between strategy and execution
- embedded technical and operational specialists
- AI-enabled workflows tied to measurable outcomes
This partly explains why execution-focused firms such as AlixPartners, Alvarez & Marsal, and specialist transformation boutiques continue gaining relevance. Clients increasingly care less about the scale of a consulting team and more about whether change actually lands inside the organisation.
The Anthropic venture appears built directly around this reality.
Rather than separating software provider, strategy adviser, and implementation partner into different organisations, the model attempts to combine them into one integrated operating structure.
That is structurally different from how much of consulting operated during the previous generation.
Why This Matters Beyond Private Equity
It would be easy to dismiss this purely as a private equity operating model story.
It is probably larger than that.
Business Insider reported that OpenAI is apparently exploring a similar PE-backed structure. If accurate, that suggests this may not be an isolated experiment but part of a broader market direction.
The larger implication is that enterprise AI may reorganise parts of the consulting market around new forms of delivery infrastructure.
Historically, the ecosystem was relatively fragmented. Consulting firms owned strategic advisory relationships. Software vendors sold tools. Systems integrators handled implementation. Private equity firms funded the asset. Each player operated within relatively clear boundaries.
Those boundaries are beginning to collapse.
AI firms increasingly want direct access to enterprise workflows and operational environments. Private equity firms want faster implementation and measurable portfolio performance improvement. Consulting firms are moving closer to execution and outcome ownership. Clients increasingly prefer fewer providers with clearer accountability.
The market is starting to converge around integrated delivery models rather than isolated service categories.
That creates a new competitive category sitting somewhere between consulting firm, software platform, operating partner, and transformation engine.
The firms that eventually dominate enterprise AI implementation may not resemble traditional consulting firms at all.
The Bigger Question for Consulting Firms
None of this means consulting disappears.
Demand for transformation capability is likely to increase over the next decade, not decline. But the economics and delivery structures underneath that demand are changing rapidly.
AI increasingly compresses the value of process-heavy analytical work. Research, benchmarking, slide production, and structured synthesis are becoming easier and faster to produce across the market.
That shifts value toward the layers that remain difficult to automate:
- executive judgment
- organisational influence
- implementation credibility
- sector expertise
- stakeholder alignment
- ownership of outcomes
The firms that adapt successfully will likely move closer to execution, redesign teams around smaller senior-led structures, deepen sector specialisation, and build stronger proprietary delivery systems supported by AI.
The firms that continue relying primarily on leverage and information asymmetry may struggle.
This is not the death of consulting.
But it may represent the early stages of a very different consulting model.
And increasingly, private equity firms appear interested in building parts of that model themselves.
Ben Appleton is the founder of Strat-Bridge, a specialist executive search partner to the strategy consulting industry. He works with global consulting firms and senior leaders across the UK, Germany, Switzerland, and beyond — helping them build capability at the Partner and Director level.
