📊 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 AI-driven enterprise services companies, aiming to replace traditional consulting firms. This shift reflects a broader industry move toward AI-embedded workflows and threatens existing consulting giants.
Anthropic and OpenAI have each announced the formation of new enterprise services entities designed to embed AI engineers directly into mid-sized companies, signaling a strategic shift toward consulting-like roles for AI firms. This move aims to capture a larger share of enterprise revenue traditionally dominated by consulting and systems integrators, and it underscores a broader industry trend of AI-native companies positioning as outcome-driven service providers rather than pure software vendors.
On May 4, Anthropic revealed plans to create a $1.5 billion AI-native enterprise services company, backed by major asset managers including Blackstone, Hellman & Friedman, and Goldman Sachs. The firm will deploy Anthropic’s Applied AI engineers into mid-market companies across sectors like healthcare, manufacturing, and finance, mimicking Palantir’s forward-deployed engineering model. This entity aims to compete directly with traditional consulting firms by offering tailored AI-driven workflows.
Two days later, on May 6, OpenAI announced a similar initiative called ‘DeployCo,’ backed by TPG, Bain Capital, and others, with a $10 billion valuation—significantly larger than Anthropic’s initial valuation. DeployCo plans to leverage OpenAI’s technology to deliver outcome-based AI services to enterprises, focusing on distribution, compute, and vertical productization. The rapid succession of these announcements indicates a strategic race to reshape enterprise AI deployment and capture a substantial share of the estimated $1.4 trillion global IT services market.
Industry experts interpret these moves as a deliberate attack on the traditional consulting industry, which relies heavily on human labor for client transformation projects. The new AI-native firms aim to replace or augment human consultants with AI-embedded engineering teams, especially targeting mid-market companies that are too small for the Big Four but too sophisticated for self-service software. The structural shift is reinforced by the fact that Anthropic maintains ongoing relationships with major consulting networks but now also owns a stake in its own deployment efforts, signaling a move toward vertical integration.
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.
Disrupting the $6-to-$1 Services-to-Software Spending Ratio
This strategic pivot by Anthropic and OpenAI represents a fundamental challenge to the dominant consulting industry, which currently earns six dollars in services for every dollar spent on software. By deploying AI engineers directly into client workflows, these firms aim to capture a larger share of enterprise revenue, particularly in the mid-market segment. The move could accelerate the decline of traditional consulting firms and reshape how enterprises adopt AI technologies, potentially leading to a significant redistribution of market share and revenue streams across the industry.
Industry Shift Toward AI-Embedded Enterprise Services
Over the past decade, AI companies like Anthropic and OpenAI have primarily focused on developing foundational models and software platforms. However, recent developments suggest a strategic shift toward offering end-to-end, outcome-oriented services that embed AI engineers directly into client organizations. This evolution is partly driven by the success of Palantir’s forward-deployed engineering model, which places technical teams inside client operations to redesign workflows. The timing aligns with AI firms’ escalating valuations and funding rounds, with Anthropic reportedly in final stages of a $40-50 billion funding round, aiming for a public listing as early as October 2026.
Meanwhile, the traditional consulting industry, led by the Big Four and major SI firms, has been slow to fully integrate AI at scale. The new AI-native entities threaten to bypass these legacy channels, especially in the mid-market, where the economics of traditional consulting are less favorable. The parallel announcements from Anthropic and OpenAI underscore a broader industry reorientation, with AI firms positioning as outcome-driven service providers rather than just software vendors.
“The formation of these AI-native enterprise services firms signals a strategic move to replace traditional consulting with AI-embedded engineering teams, targeting a $1.4 trillion market.”
— Thorsten Meyer
Unclear Details on Long-Term Market Impact
While these announcements mark a clear strategic shift, it remains uncertain how quickly traditional consulting firms will adapt to this new competition and whether AI-native firms can scale effectively across diverse enterprise segments. The exact financial performance of these new entities and their ability to secure long-term client relationships are still developing. Additionally, regulatory, technical, and organizational challenges could influence their success or delay widespread adoption.
Next Steps in Industry Adoption and Market Response
In the coming months, expect further details on the operational models and client deployments of these AI-native firms. Watch for potential partnerships or conflicts with existing consulting giants, as well as regulatory responses to the rapid deployment of AI in enterprise workflows. The upcoming earnings reports, funding rounds, and potential IPO filings of Anthropic and OpenAI will offer clearer signals on their market strategies and long-term viability. Industry observers will also monitor how traditional consulting firms respond, whether through alliances, acquisitions, or accelerated AI integration efforts.
Key Questions
How will these AI-native firms compete with traditional consulting companies?
They plan to embed AI engineers directly into client operations to deliver outcome-based solutions, potentially offering more scalable, cost-effective, and faster services than traditional human-led consulting teams.
What sectors are these new AI services targeting first?
The initial focus is on mid-market companies in healthcare, manufacturing, financial services, retail, and real estate, where the economics favor AI-driven deployment over legacy consulting models.
Will this shift threaten the existing consulting industry significantly?
Yes, especially in the mid-market segment, as AI-native firms aim to capture more of the $6 in services for every dollar spent on software, potentially reducing the market share of traditional consulting giants over time.
How might regulatory or technical challenges impact these new ventures?
Regulatory scrutiny around AI deployment, data privacy, and operational risks could slow adoption or require adjustments in deployment models, influencing the pace and scale of these firms’ growth.
Source: ThorstenMeyerAI.com
