📊 Full opportunity report: The Forward-Deploy Pivot: Why Anthropic and OpenAI Are Becoming Consulting Firms in the Same Week on ThorstenMeyerAI.com — validation score, market gap, and execution plan.
TL;DR
Anthropic and OpenAI are launching new enterprise-focused entities to embed AI engineers into mid-sized companies, challenging traditional consulting firms. This shift aims to capture more value from the growing AI services market and supports their upcoming IPO plans.
Anthropic and OpenAI have each announced the creation of new enterprise services entities designed to embed AI engineers into mid-sized companies, marking a strategic shift toward consulting-like operations. These moves are part of broader efforts to establish sustainable revenue streams and support upcoming IPOs, with the companies positioning themselves as direct competitors to traditional consulting firms.
On May 4, Anthropic announced a $1.5 billion AI-native enterprise services joint venture backed by major asset managers, aiming to embed its Applied AI engineers into mid-sized companies across sectors like healthcare, manufacturing, and finance. This entity is modeled after Palantir’s forward-deployed engineering approach.
Two days later, on May 6, OpenAI revealed a similar initiative, called ‘The Development Company’ (DeployCo), backed by private equity firms including TPG, Bain Capital, and others, with a valuation of around $4 billion—significantly larger than Anthropic’s initial valuation. DeployCo plans to deploy AI engineers into client companies, focusing on outcomes rather than software sales.
The timing of these announcements, along with subsequent product launches, suggests a coordinated effort to position both firms as providers of AI-driven enterprise transformation, supporting their anticipated IPOs later in 2026. Anthropic is reportedly in final discussions for a funding round that could value it at over $900 billion, surpassing OpenAI’s recent valuation of approximately $852 billion.
Industry analysts interpret these moves as a direct challenge to the traditional consulting industry, which spends roughly six times more on services than on software. The new entities aim to capture a portion of this $1.4 trillion global IT services market, especially targeting mid-market companies that are too small for the Big Four consulting firms but too sophisticated for self-service software.
Same week.
Two consulting firms.
Anthropic and OpenAI synchronized $5.5B in commitments to rebuild the consulting industry from scratch — backed by ~$10 trillion in aggregate AUM.
May 4 · $1.5B Anthropic vehicle with Blackstone + Hellman & Friedman + Goldman Sachs as founding partners. OpenAI’s “DeployCo” announced hours earlier — $4B at $10B valuation, 6.7× larger. Both use Palantir’s forward-deployed engineering model. Captive customer pipeline through PE portfolio ownership = unprecedented enterprise software moat.
Two ventures. One opportunity.
The most concentrated assembly of private capital ever announced for AI services. Captive customer pipeline through PE portfolio ownership is the structural moat — when the PE firm owns both the services firm AND the customer, traditional buyer-seller dynamics break down.
- Anthropic$300M · founder
- Blackstone$300M · $1.3T AUM
- Hellman & Friedman$300M · $115B AUM
- Goldman Sachs AM$150M · $625B alts
- General Atlantic~$150M · $80B+
- Apollo + Leonard Green+ GIC + Sequoia
overlap
- OpenAI$500M · founder
- TPG$250B+ AUM
- Brookfield$1T+ AUM
- Bain Capital$185B+ AUM
- Advent International$90B+ AUM
- 15 unnamed investors$4B total commits
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Four days. Four layers.
Each layer compounds the others. Compute enables deployment scale. Models provide capability. Templates productize workflows. Services firm provides delivery. PE pipeline provides customers. The blitz is coordinated IPO positioning ahead of Q4 2026.
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Five tiers. Five trajectories.
The disruption is uneven by tier. Indian IT faces structural threat (cost-arbitrage labor model obsolescence). Big Four maintain Fortune 500 dominance. Strategy consultancies durable on judgment work. Palantir’s FDE model gets validation premium.
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Three scenarios. One restructuring.
Whether the captive customer model scales as projected or faces execution constraints. Both vehicles likely achieve material scale rather than one collapsing — the structural setup is overwhelming.
- 1,500-2,500 deploymentsBy end-2027 across portfolio.
- 3-6 month deliveryVs 12-18 months traditional.
- Big 4 mid-market compressesIndian IT down 30-40%.
- JV revenue $1-2B by 2028Material IPO contribution.
- Outcome: October 2026 IPO at $900B+. JV is bull case.
- 800-1,500 deploymentsBy end-2027.
- Bifurcated marketFDE entities + traditional SI both grow.
- Big 4 deepen alt-AI partnershipsAccenture+OpenAI; Deloitte+Google.
- JV revenue $400-800M by 2028Supporting narrative.
- Outcome: IPO proceeds. JV is one of several threads.
- Engineering scaling hardFDE talent the binding constraint.
- PE governance frictionMultiple sponsors create overhead.
- Big 4 defends aggressivelyPricing competition compresses.
- JV revenue $100-300M by 2028Underperforms projections.
- Outcome: IPO valuation hit. Potential 2027 delay.
This is the most aggressive enterprise distribution play in tech history, executed in synchronized fashion within hours of each other, backed by approximately $10 trillion in aggregate AUM. The captive customer move is the new structural moat for AI commercialization. Everything else is supporting infrastructure.
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Four assignments. By role.
Track 90-180 day customer traction.
Anthropic IPO valuation case strengthens materially. The captive distribution channel adds structural multi-year revenue visibility worth plausibly $500M-$2B incremental ARR by Q4 2027. Q4 2026 IPO probability rises from ~50% pre-announcement to ~65-70% post-announcement. Verify execution before drawing valuation conclusions.
Form competing vehicles or cede captive economics.
KKR, Carlyle, Vista, Thoma Bravo, Silver Lake, Warburg Pincus face strategic choice. Form parallel vehicles with smaller AI labs (Mistral, Cohere, xAI) or with Microsoft/Google/Meta as model partners. Or accept structural disadvantage. The captive customer model is the new value-creation default.
Equity-aligned partnerships and vertical specialization.
Big 4 — deepen alt-AI partnerships (Accenture-OpenAI, Deloitte-Google likely). Indian IT — pivot to AI-native delivery aggressively or face 25-40% market cap compression. Mid-market integrators (EPAM, Genpact) face direct competition; vertical specialization in regulated industries (defense, government, large healthcare) is the defensible position.
PE-owned companies face accelerated AI deployment.
If your company is owned by Blackstone, H&F, Apollo, GA, Leonard Green, GIC, Sequoia — direct JV engagement arriving 12-24 months. If OpenAI DeployCo’s PE backers — same. Reskill toward judgment-intensive roles. The Atlassian template applies — workforce composition reshape, not just headcount cut. 15-25% restructuring across PE-portfolio companies over 2026-2030.
Impact on the Global Consulting and AI Markets
This strategic pivot signifies a fundamental shift in how AI companies are positioning themselves within the enterprise services landscape. By embedding engineers directly into client organizations, Anthropic and OpenAI are challenging the traditional consulting model, which relies heavily on human consultants. This move could reshape the $1.4 trillion global IT services market, redirecting a significant share of revenues toward AI-native firms.
For the industry, this represents a potential disruption of the established consulting giants like McKinsey, BCG, and the Big Four, which currently dominate enterprise transformation projects. The new approach emphasizes outcome-based delivery, vertical integration, and direct ownership, which could lead to more scalable and efficient AI deployment at mid-market firms.
Furthermore, these developments coincide with the firms’ IPO ambitions, framing their enterprise services as a pathway to sustainable revenue growth and valuation expansion. The shift also signals a broader industry trend toward AI-augmented consulting, where traditional services are increasingly replaced or supplemented by AI-driven solutions.
Strategic Moves in AI and Enterprise Services
In recent months, Anthropic’s valuation has surged, with reports indicating a potential funding round valuing the company at over $900 billion, eclipsing OpenAI’s valuation of approximately $852 billion. Both firms are positioning themselves for IPOs expected as early as October 2026, with a narrative of growth through product distribution, compute capacity, and vertical productization.
The formation of these enterprise services entities follows a pattern seen in the broader AI industry, where companies are increasingly adopting a consultative, embedded engineering approach inspired by Palantir’s forward-deploy model. This approach involves deploying specialized AI engineers directly within client organizations to redesign workflows and achieve specific outcomes.
Meanwhile, the traditional consulting industry is responding with its own repositioning strategies, but the direct ownership and equity stakes in these new ventures suggest a more aggressive challenge to the existing consulting hierarchy, especially in the mid-market segment.
“Anthropic and OpenAI are moving beyond software sales into direct, outcome-focused enterprise deployment, fundamentally challenging the traditional consulting model.”
— Thorsten Meyer
Unclear Details on Long-Term Impact and Execution
While the announcements establish a clear strategic intent, it remains uncertain how quickly and effectively these new entities will scale within the mid-market segment. The exact operational models, client acceptance, and competitive responses from traditional consulting firms are still developing. Additionally, the full financial impact and how these moves will influence the broader IPO timelines are not yet confirmed.
Upcoming Developments and Industry Reactions
In the coming months, both Anthropic and OpenAI are expected to expand their enterprise deployment efforts, announce initial client wins, and potentially reveal further product integrations. Monitoring their IPO progress, including funding rounds and valuation milestones, will be key to understanding the full impact. Industry reactions from traditional consulting firms and potential regulatory considerations are also anticipated to shape the evolving landscape.
Key Questions
How will these new entities compete with traditional consulting firms?
They aim to offer more scalable, outcome-focused, AI-embedded services directly within client organizations, potentially reducing reliance on human consultants and capturing more value from enterprise AI deployment.
What sectors are targeted by these AI-driven consulting efforts?
Primarily mid-market firms in healthcare, manufacturing, financial services, retail, and real estate, where the need for tailored AI solutions is growing but traditional consulting is less cost-effective.
Will this shift impact the traditional consulting giants?
Yes, it could pressure them to innovate and adapt, especially in the mid-market segment, and may lead to increased competition and strategic repositioning.
When are these companies planning to go public?
Both Anthropic and OpenAI are targeting IPOs as early as October 2026, contingent on funding and market conditions.
What does this mean for the future of AI in enterprise?
It suggests a move toward embedded, outcome-driven AI services that could replace or supplement traditional consulting, significantly transforming enterprise technology adoption.
Source: ThorstenMeyerAI.com
