📊 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 forming new enterprise-focused entities to embed AI engineers into mid-market companies, disrupting the consulting industry. These moves signal a strategic shift toward AI-driven outcomes and could reshape the global consulting market.
Anthropic and OpenAI announced the formation of new enterprise services companies on May 4 and May 6, 2026, respectively, both aiming to embed AI engineers directly into mid-sized companies. These initiatives represent a significant shift in AI industry strategy, positioning these firms as competitors to traditional consulting giants and signaling a broader industry transformation.
On May 4, Anthropic revealed plans for a $1.5 billion AI-native enterprise services company backed by a consortium of major asset managers, including Blackstone, Hellman & Friedman, and Goldman Sachs. This firm will embed Anthropic’s applied AI engineers into mid-sized firms across sectors such as healthcare, manufacturing, and financial services, following a Palantir-like forward-deployed engineering model. Meanwhile, OpenAI announced a similar venture, dubbed ‘DeployCo,’ with a valuation of $10 billion and backing from TPG, Bain Capital, and others, aiming to serve large-scale enterprise clients. The timing of these announcements, coupled with recent product launches and a potential IPO for Anthropic valued at over $900 billion, suggests a coordinated strategy to capture enterprise revenue streams traditionally dominated by consulting firms. Industry experts interpret these moves as a direct challenge to the global consulting market, which is valued at approximately $1.4 trillion annually. The new firms aim to target the mid-market segment—too small for Big Four firms but too sophisticated for self-service software—by deploying AI engineers directly into client operations to redesign workflows and deliver outcomes, not just software solutions. This approach could shift a significant share of the $6 in services spent for every dollar on software, threatening the existing consulting industry structure.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
AI consulting tools for mid-sized companies
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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.
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.
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.
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 Global Consulting Industry by AI-Driven Firms
The formation of these enterprise services firms by Anthropic and OpenAI signals a strategic move to capture a substantial portion of the $1.4 trillion global IT services market. By embedding AI engineers into mid-sized companies, these firms aim to deliver outcomes directly, reducing reliance on traditional consulting firms like McKinsey, BCG, and the Big Four system integrators. This shift could fundamentally alter how enterprises adopt and utilize AI, potentially leading to a reallocation of hundreds of billions of dollars from human-led consulting to AI-augmented engineering services. The move also underscores a broader industry trend: AI-native companies are positioning themselves as outcome providers rather than just software vendors, challenging the very foundation of the consulting industry’s revenue model.
Strategic Industry Movements and Past Developments Leading Up to the Shift
In recent months, Anthropic has been positioning itself for a major push into enterprise markets, with a reported valuation exceeding $900 billion and a potential IPO as early as October 2026. The company’s ARR is projected to grow from $9 billion at the end of 2025 to over $30 billion by early 2026, driven by product launches and strategic partnerships. OpenAI’s DeployCo, backed by a $10 billion valuation, has also begun to target enterprise clients, leveraging its GPT-based models and recent product updates. The timing of these announcements, alongside product launches like finance templates and connectors, indicates a coordinated effort to establish a dominant presence in enterprise AI services. Industry analysts note that these moves are part of a broader trend where AI firms are directly challenging traditional consulting firms, which have historically dominated enterprise transformation projects. The structural reference to Palantir’s forward-deployed engineering model emphasizes the emphasis on embedding AI engineers into client workflows for outcomes-focused solutions.
“The strategic positioning of Anthropic and OpenAI signals a fundamental shift in how enterprise AI services will be delivered, moving away from traditional consulting towards embedded, outcome-driven engineering.”
— Thorsten Meyer
Unclear Details on Long-Term Industry Impact and Execution
While the strategic intent and initial moves are clear, it remains uncertain how quickly these firms will scale, whether they can effectively compete with established consulting giants, and how clients will respond to the embedded AI engineering model. The full impact on the global consulting market, including potential regulatory or client adoption barriers, is still developing and will unfold over the coming months.
Next Steps in Industry Adoption and Competitive Dynamics
Over the coming quarters, expect further announcements of client wins, product launches, and potential IPO filings from Anthropic. The Big Four consulting firms are likely to respond with their own AI-driven offerings and strategic repositioning. Monitoring client adoption rates, partnership developments, and regulatory responses will be critical to understanding how this structural shift will evolve and reshape the enterprise AI landscape.
Key Questions
What is the main goal of Anthropic and OpenAI’s new ventures?
Their goal is to embed AI engineers directly into mid-sized companies to deliver outcomes and redesign workflows, challenging traditional consulting models.
How do these new firms differ from traditional consulting companies?
Unlike traditional consultancies, these firms focus on outcome-based AI engineering embedded within client operations, with direct ownership and integration into the client’s business processes.
What sectors are targeted by these new enterprise services firms?
The initial focus is on healthcare, manufacturing, financial services, retail, and real estate—sectors where mid-sized companies can benefit from AI-driven workflow redesign.
Could this disrupt the entire consulting industry?
Yes, by redirecting a significant share of the $6 in services spent per dollar on software, these firms threaten to reshape how enterprise AI projects are delivered, especially in the mid-market segment.
What are the risks or uncertainties facing these ventures?
Uncertainties include client adoption, scaling capabilities, regulatory challenges, and whether these firms can effectively compete with established consulting giants in delivering large-scale transformations.
Source: ThorstenMeyerAI.com
