📊 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 creating new enterprise-focused companies to embed AI engineers into mid-sized firms, challenging traditional consulting firms. This shift indicates a broader move toward AI-driven outcome-based services, with potential implications for the consulting industry and market valuations.
Anthropic and OpenAI announced the formation of new enterprise services entities on May 4, 2026, aimed at embedding AI engineers into mid-sized companies and competing directly with traditional consulting firms. This move marks a significant shift in how AI companies are positioning themselves in the enterprise market, emphasizing outcome-driven services over pure software sales.
Anthropic’s new venture, backed by a $1.5 billion capital pool from major asset managers including Blackstone, Hellman & Friedman, Goldman Sachs, and others, will embed its Applied AI engineers into mid-market companies across sectors such as healthcare, manufacturing, and finance. The model is inspired by Palantir’s forward-deployed engineering approach. Meanwhile, OpenAI announced a similar entity, ‘DeployCo,’ with a $4 billion private equity backing, aiming to serve mid-sized firms and capture a share of the $6-to-$1 services-to-software spending ratio in enterprise markets.
These moves are part of a broader strategy to challenge the traditional consulting industry, which relies heavily on human consultants. Industry observers note that the new firms are positioning themselves to redirect a significant portion of the $1.4 trillion global IT services market, especially targeting the mid-market segment too small for the Big Four consulting firms to serve profitably.
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
Pricing Your AI Consulting Services: Mastering Hourly, Project-Based, and Retainer Models (How to Start Your Own AI Consulting Business: A Guide to Building a Profitable AI Advisory Firm Book 5)
As an affiliate, we earn on qualifying purchases.
As an affiliate, we earn on qualifying purchases.
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.
AI at the Edge: Solving Real-World Problems with Embedded Machine Learning
As an affiliate, we earn on qualifying purchases.
As an affiliate, we earn on qualifying purchases.
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.
Autonomous AI-Driven Enterprise Software From Development to Deployment
As an affiliate, we earn on qualifying purchases.
As an affiliate, we earn on qualifying purchases.
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.
The Consultant’s AI Playbook: Ditch Hourly Billing, Price on ROI, and Outperform Firms 10x Your Size
As an affiliate, we earn on qualifying purchases.
As an affiliate, we earn on qualifying purchases.
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 formation of these AI-native enterprise services companies signals a fundamental shift in how businesses will implement AI solutions, potentially reducing dependence on traditional consulting firms like McKinsey and Accenture. This could lead to a reallocation of hundreds of billions of dollars from human-driven consulting services to AI-augmented engineering, reshaping the enterprise services landscape and accelerating AI adoption at scale.Strategic Positioning and Market Dynamics
In recent months, Anthropic’s valuation has approached $900 billion, with expectations of a public offering as early as October 2026. The timing of the announcements—May 4 for enterprise services, May 6 for compute capacity, and May 7 for productization tools—appears orchestrated to build a narrative of a durable revenue trajectory akin to an IPO campaign. The competitive landscape now includes OpenAI’s DeployCo, backed by prominent PE firms, which is valued at $10 billion, indicating a 6.7-fold scale difference at launch.
Industry insiders note that these moves are driven by the realization that AI companies can now directly target the mid-market segment, which has been underserved by traditional consultancies due to economic constraints. The new ventures also reflect a strategic shift for Anthropic, which continues its relationship with the Claude Partner Network but now also owns a stake in its own enterprise deployment platform.
“The strategic positioning of Anthropic and OpenAI’s new ventures indicates a fundamental challenge to the traditional consulting industry, aiming to redirect trillions of dollars toward AI-augmented services.”
— Thorsten Meyer
Unclear Details on Market Impact and Regulatory Risks
It remains uncertain how quickly traditional consulting firms will respond to these disruptions, whether new regulatory challenges will arise for AI-driven enterprise services, and how the market will value these new entities relative to established firms. The long-term profitability and scalability of the embedded engineering model are still being tested.
Next Steps in Market Adoption and Strategic Responses
Expect further announcements from both Anthropic and OpenAI as they scale their enterprise services, along with potential responses from traditional consulting giants. Monitoring the progress of their IPO plans, valuation developments, and client deployments will be key to understanding the full impact of this strategic shift over the coming months and years.
Key Questions
How do these new companies differ from traditional consulting firms?
They embed AI engineers directly into client organizations to redesign workflows, focusing on outcome-driven services rather than just providing software or strategic advice.
Will this shift threaten the revenues of Big Four consulting firms?
Yes, especially in the mid-market segment, as AI-native firms aim to capture a significant share of the $6-to-$1 services-to-software spending ratio, potentially reducing reliance on traditional firms.
What is the significance of the valuation differences between Anthropic and OpenAI’s DeployCo?
The valuation gap indicates different strategic scales and market perceptions, with DeployCo’s larger valuation reflecting its broader PE backing and higher market ambitions.
Could regulatory issues impact these AI enterprise services?
It is still unclear; regulatory frameworks for AI deployment in enterprise settings are evolving and could pose hurdles or impose new compliance requirements.
Source: ThorstenMeyerAI.com
