📊 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-native enterprise services companies, aiming to embed AI engineers directly into mid-sized firms. This shift challenges the consulting industry’s traditional model and signals a strategic move toward AI-driven outcomes and IPO positioning.
Anthropic and OpenAI have each announced the formation of new enterprise services companies designed to embed their AI engineers directly into mid-sized firms, marking a strategic shift toward AI-driven consulting and signaling a challenge to traditional management consulting firms.
On May 4, Anthropic disclosed a $1.5 billion AI-native enterprise services joint venture backed by major asset managers, aiming to embed AI engineers into mid-market companies to redesign workflows around Claude. Two days later, OpenAI announced ‘DeployCo,’ a similar entity backed by PE firms with a $10 billion valuation, targeting the same mid-market segment. These moves are part of a broader strategy to position AI firms as outcome-oriented service providers, directly competing with and potentially displacing traditional consulting giants like McKinsey, BCG, and the Big Four. The structural goal is to redirect a significant share of the global $1.4 trillion IT services market, which is currently dominated by human-led consulting and systems integration firms, toward AI-augmented solutions. Industry insiders see this as a deliberate attack on the consulting industry’s core revenue model, where roughly six dollars are spent on services for every dollar spent on software, highlighting the economic opportunity for AI-native firms.Anthropic’s joint venture involves approximately $300 million commitments from Blackstone, Hellman & Friedman, and Goldman Sachs, with other backers supporting a total of $1.5 billion. The company plans to embed its Applied AI engineers alongside its partners into verticals such as healthcare, manufacturing, and financial services, following a Palantir-inspired forward-deploy model. Meanwhile, OpenAI’s DeployCo, backed by PE giants and valued at $10 billion, aims to similarly embed AI expertise into mid-market companies, with a focus on delivering outcomes rather than just software products. Both initiatives are timed to support upcoming IPO plans, with Anthropic reportedly nearing a $40-50 billion funding round and a potential public listing as early as October 2026.
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
These developments represent a fundamental shift in how AI companies are positioning themselves in the enterprise market. By embedding AI engineers directly into client organizations, Anthropic and OpenAI aim to capture more of the value chain traditionally held by large consulting firms. This move could significantly reduce reliance on human consultants, reshape the global $1.4 trillion IT services market, and accelerate the adoption of AI-driven outcomes across industries. For investors, it signals a new growth trajectory for AI firms aiming to become outcome providers rather than just software developers, with implications for the valuation, competitive landscape, and future IPO strategies of these companies.Strategic Shift Toward AI-Driven Consulting and IPO Positioning
The formation of these enterprise services entities follows a pattern of strategic announcements designed to position Anthropic and OpenAI ahead of their IPOs. Anthropic’s recent funding round, nearing $50 billion valuation, aims to eclipse OpenAI’s recent $852 billion valuation, with a public listing potentially as early as October 2026. The moves also reflect broader industry trends—venture capital and PE firms are backing these firms heavily, betting on a future where AI replaces or significantly augments traditional consulting services. Historically, the global IT services market has been dominated by Big Four firms and large SI players, but these new AI-native entities are targeting the lucrative mid-market segment, which is too small for traditional firms but too sophisticated for self-service software. This strategic positioning indicates a long-term shift in enterprise AI deployment and consulting models.“Anthropic and OpenAI’s new enterprise services entities mark a deliberate effort to embed AI engineers directly into client organizations, challenging the traditional consulting industry’s revenue model.”
— Thorsten Meyer
Unclear Details of Long-Term Market Impact
It remains uncertain how quickly and extensively these AI-native consulting models will displace traditional firms, and whether clients will prefer outcome-based AI services over human-led consulting in the long term. The actual adoption rate, regulatory considerations, and competitive responses from established consulting giants are still developing factors.
Next Steps in Industry Adoption and IPO Timing
Both Anthropic and OpenAI are expected to continue expanding their enterprise services and embedding AI engineers into more client sectors. Monitoring their IPO progress, funding rounds, and market share growth will be critical in assessing the impact of this strategic pivot. Additionally, traditional consulting firms are likely to respond with their own AI initiatives, potentially leading to a reshaping of enterprise AI deployment over the next 12-24 months.
Key Questions
How do these new AI-native firms differ from traditional consulting companies?
They embed AI engineers directly into client organizations to deliver outcomes, rather than providing standalone software or advisory services, thus capturing more of the value chain.
Will this shift significantly reduce the role of human consultants?
Potentially, especially in mid-market segments where AI can provide scalable, outcome-focused solutions, but full displacement is still uncertain and will depend on client adoption and regulatory factors.
What are the implications for the global IT services market?
AI-native firms aim to redirect a substantial share of the $1.4 trillion market, especially targeting the mid-market, which could lead to a reallocation of revenue from traditional consulting and systems integrators.
When might these companies go public?
Anthropic is reportedly considering an IPO as early as October 2026, with its valuation potentially surpassing $900 billion, while OpenAI’s DeployCo is still in earlier stages of funding and valuation discussions.
Source: ThorstenMeyerAI.com