📊 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, resembling consulting firms, to embed AI engineers into mid-sized companies. This shift aims to capture more value from AI deployments and challenge traditional consulting firms. The move highlights a broader industry trend toward AI-native, outcome-driven services.
Anthropic and OpenAI have each announced the creation of new enterprise services entities designed to embed AI engineers directly into mid-sized companies, marking a significant shift from traditional software licensing toward consulting-like engagement models. These moves are part of broader strategies to capture more value from AI deployments and challenge established consulting firms.
On May 4, 2026, Anthropic revealed plans to form a $1.5 billion AI-native enterprise services company backed by major asset managers, including Blackstone, Hellman & Friedman, and Goldman Sachs. The firm aims to embed Anthropic’s Applied AI engineers into mid-market sectors such as healthcare, manufacturing, and finance, similar to Palantir’s forward-deployed engineering model. This initiative targets the mid-market segment, which is too small for Big Four consulting firms to serve cost-effectively but too sophisticated for self-service software.
Meanwhile, hours earlier, OpenAI announced a comparable venture called ‘DeployCo,’ backed by TPG, Bain Capital, and others, with a $10 billion valuation—approximately 6.7 times larger than Anthropic’s vehicle at launch. These parallel announcements suggest a coordinated effort to position AI as a service outcome provider, disrupting the traditional consulting industry that earns roughly six dollars in services for every dollar spent on software. Industry insiders see this as a strategic move to redirect a significant portion of the $1.4 trillion global IT services market toward AI-enabled, engineering-led solutions.
Anthropic’s new venture is designed to directly own and deploy talent, unlike its previous reliance on partnerships with traditional consulting firms like the Claude Partner Network, which includes Accenture, Deloitte, and PwC. The structural intent is to capture more value from enterprise deployments, especially in the mid-market, where demand outpaces the capacity of Big Four firms. This shift signals a fundamental change in how AI services are delivered and monetized, with implications for the entire consulting industry.
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.
Disruption of the Traditional Consulting Industry
The move by Anthropic and OpenAI represents a strategic challenge to the established consulting industry, which earns approximately six times more in services than from software sales. By embedding AI engineers directly into client organizations, these new entities aim to capture a larger share of the value chain, especially in the mid-market segment that has historically been underserved. This could lead to a fundamental reallocation of revenue within the $1.4 trillion global IT services market, reducing reliance on traditional consultancies and transforming how enterprise AI solutions are delivered.
Industry Shift Toward AI-Embedded Services
Over the past year, AI companies have increasingly moved beyond software licensing into providing integrated, outcome-oriented services. Anthropic’s ARR is projected to reach over $30 billion by late 2026, up from $9 billion at the end of 2025, reflecting rapid growth in enterprise deployments. The parallel announcement from OpenAI, with a valuation of $10 billion for DeployCo, underscores a broader industry trend: AI firms positioning as engineering-driven, consulting-like entities to penetrate the mid-market, a space traditionally dominated by the Big Four and large system integrators. This shift is reinforced by recent strategic partnerships and the ongoing push toward IPOs, with Anthropic reportedly in final stages of a $40-50 billion funding round, eyeing a public listing as early as October 2026.
“Anthropic and OpenAI are moving beyond software into embedded, outcome-driven services that threaten the core of the traditional consulting industry.”
— Thorsten Meyer
Unclear Details of Long-Term Impact and Strategy
While the initial moves are clear, it remains uncertain how these new entities will scale globally, how they will compete with traditional consultancies long-term, and whether they will succeed in capturing a significant share of the mid-market. Additionally, the exact revenue models, client adoption rates, and integration with existing enterprise systems are still developing and could evolve as these ventures mature.
Next Steps in Industry Disruption and Market Adoption
In the coming months, expect further announcements regarding client wins, partnerships, and potential IPO preparations by Anthropic. OpenAI’s DeployCo is likely to expand its capabilities and client base, testing the market’s receptiveness to AI-embedded engineering services. Industry analysts will monitor how traditional consulting firms respond—whether through strategic alliances, internal innovation, or repositioning—and how these new AI-native firms impact the overall structure of enterprise services.
Key Questions
What is the main goal of Anthropic and OpenAI’s new ventures?
Their goal is to embed AI engineers directly into client organizations to deliver outcome-driven AI solutions, challenging traditional consulting models and capturing more value from enterprise deployments.
How do these moves threaten established consulting firms?
By providing embedded, engineering-led AI services directly to mid-market companies, these firms aim to bypass traditional consultancies, which earn a smaller share of the total value chain, potentially reducing their market share and revenue.
Will these new entities replace traditional consulting firms entirely?
It is unlikely they will replace them entirely, but they are poised to capture a significant portion of the growing AI-enabled service market, especially in the mid-market segment that is currently underserved.
What are the potential risks for Anthropic and OpenAI’s new ventures?
Risks include scaling challenges, client adoption hurdles, regulatory concerns, and the possibility that traditional consultancies innovate or adapt quickly to maintain their market share.
When might we see these ventures go public or achieve significant market impact?
Anthropic is reportedly in final stages of a funding round with a potential IPO as early as October 2026, while OpenAI’s DeployCo is expected to expand and solidify its market presence over the next year.
Source: ThorstenMeyerAI.com
