📊 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 establishing new enterprise-focused entities that embed AI engineers into mid-sized companies, resembling consulting firms. This move aims to capture a larger share of the $6-to-$1 services-to-software market, challenging traditional consulting giants.
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 strategic shift toward consulting-like operations. These moves aim to reshape the AI industry landscape and capture a larger share of the $6-to-$1 services-to-software market, making them significant developments for the tech and consulting sectors.
On May 4, 2026, Anthropic revealed it is forming a $1.5 billion AI-native enterprise services company backed by major asset managers including Blackstone, Hellman & Friedman, and Goldman Sachs. The firm will embed Anthropic’s Applied AI engineers into mid-market companies such as regional banks, health systems, and manufacturers, following a Palantir-like forward-deploy model. This venture aims to compete directly with traditional consulting firms by providing tailored AI solutions at scale.
Similarly, OpenAI announced its own parallel entity, ‘DeployCo,’ on May 5, 2026, with a $10 billion valuation and backing from TPG, Bain Capital, and others. DeployCo plans to deploy AI solutions across industries, targeting a similar mid-market segment, and is positioned to leverage OpenAI’s advanced models and infrastructure to deliver outcomes rather than just software products.
This strategic move comes amid speculation that both companies are preparing for a potential IPO, with Anthropic reportedly in final funding stages that could value it at over $900 billion, surpassing OpenAI’s recent valuation. The pattern of announcements—distribution capacity, compute deals, and productization—suggests a coordinated effort to build durable revenue streams and investor confidence.
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
The Future of Enterprise Software Delivery: How AI Is Redefining Enterprise Strategy, Accelerating Software Development, and Delivering Trusted Systems at Scale
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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.
AI integration solutions for mid-sized companies
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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 Consulting Industry and Market Dynamics
This shift signifies a fundamental change in how AI companies are positioning themselves within the enterprise market. By embedding engineers directly into client organizations, Anthropic and OpenAI are effectively competing with and challenging traditional consulting firms like McKinsey, Accenture, and the Big Four SIs. The move leverages AI to deliver outcomes at a lower cost and higher scale, threatening to redirect a significant portion of the $1.4 trillion annual IT services market towards AI-native firms.
For investors, this signals a new growth trajectory for AI companies, with the potential to capture more value across the entire enterprise transformation pipeline. The strategic positioning also indicates that the AI industry is moving toward a model where outcomes, rather than just software licenses, become the primary revenue driver, reshaping the entire consulting and enterprise services landscape.
Background of AI-Embedded Consulting and Industry Shifts
Over the past year, AI firms like Anthropic and OpenAI have been expanding their enterprise reach, primarily through partnerships with large consulting networks such as the Claude Partner Network and existing enterprise channels. The recent announcements formalize this trend into dedicated, equity-backed entities focused on deploying AI solutions at scale in mid-market segments, which are traditionally underserved by the Big Four and large SIs.
Historically, the consulting industry has relied heavily on human expertise, with a global $1.4 trillion IT services market driven by strategy, systems integration, and management consulting. The rise of AI-native firms aims to disrupt this model by embedding AI engineers directly into client operations, reducing reliance on traditional consulting and potentially capturing more of the value chain, especially in the lucrative mid-market space.
These developments follow a pattern of aggressive scaling, with Anthropic’s projected ARR reaching over $9 billion by end-2025 and a planned IPO as early as late 2026, indicating that both firms are positioning for significant market influence and valuation growth.
“The strategic launches by Anthropic and OpenAI mark a decisive move towards embedding AI engineers directly into client organizations, challenging the traditional consulting industry’s dominance.”
— Thorsten Meyer
Unclear Aspects of the Strategic Shift and Market Impact
It remains unclear how quickly traditional consulting firms will adapt to this new AI-native model and whether the mid-market segment will fully shift away from existing providers. The long-term profitability and scalability of these enterprise-focused entities are still uncertain, as is their ability to deliver outcomes consistently at scale across diverse industries. Additionally, the precise valuation and market reception of Anthropic’s planned IPO remain speculative until official disclosures and investor reactions emerge.
Next Steps in AI-Driven Enterprise Service Expansion
In the coming months, both Anthropic and OpenAI are expected to further detail their enterprise deployment strategies, including client onboarding and product offerings. The companies will likely continue scaling their embedded engineer models, while industry observers will monitor how traditional consulting firms respond—whether through partnerships, acquisitions, or new service models. The potential IPOs of these firms could also serve as a catalyst for broader industry shifts, influencing valuations and competitive dynamics across the enterprise AI landscape.
Key Questions
How do Anthropic and OpenAI’s new models differ from traditional consulting?
They embed AI engineers directly into client organizations to deliver tailored solutions and outcomes, rather than providing standalone software or advisory services. This approach aims to reduce costs and increase scale, challenging the consulting industry’s traditional model.
What industries are targeted by these new enterprise services?
The initial focus is on mid-sized companies in healthcare, manufacturing, financial services, retail, and real estate sectors, where traditional consulting is often too costly or inefficient.
Will this disrupt the existing consulting giants like McKinsey or Accenture?
Yes, by capturing a significant share of the mid-market segment and offering outcome-based AI solutions, these firms could reduce the market share and influence of traditional consulting firms over time.
What is the significance of the valuations mentioned for these companies?
Anthropic’s potential valuation exceeding $900 billion and OpenAI’s $10 billion valuation reflect investor confidence in AI’s enterprise transformation potential and the strategic importance of these new models.
Source: ThorstenMeyerAI.com
