📊 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.

Anthropic and OpenAI announced the launch of new enterprise-focused entities on May 4 and May 6, 2026, respectively, marking a significant shift in their strategic approach towards embedding AI engineering into mid-sized companies. These moves signal a direct challenge to traditional consulting firms and aim to position the AI firms as key players in enterprise transformation, with potential implications for the broader consulting and enterprise software industries.

On May 4, Anthropic revealed it was forming a $1.5 billion AI-native enterprise services company backed by major investors including Blackstone, Hellman & Friedman, Goldman Sachs, and others. The firm will embed Anthropic’s Applied AI engineers alongside its own team into mid-sized companies across sectors like healthcare, manufacturing, and financial services, aiming to redesign workflows around its Claude AI model. This approach is structurally inspired by Palantir’s forward-deploy model.

Just two days later, on May 6, OpenAI announced the creation of ‘The Development Company’ (DeployCo), backed by a $4 billion private equity commitment from firms like TPG, Bain Capital, and others, with a valuation of approximately $10 billion—over six times larger than Anthropic’s new entity at launch. DeployCo aims to similarly embed AI engineers into enterprises, focusing on delivering outcomes rather than just software products.

Both announcements are part of a broader strategic pattern, coinciding with key product launches and a potential upcoming IPO for Anthropic, which is reportedly in final funding stages valuing the company at around $900 billion. Industry observers see these moves as a direct attack on the traditional consulting industry, which relies heavily on services, with AI firms aiming to redirect a significant share of that revenue toward AI-augmented engineering solutions.

Impact on the Consulting Industry and Enterprise Market

The formation of these AI-native enterprise services firms signals a fundamental shift in how large AI companies plan to engage with the enterprise market. By embedding AI engineers directly into client organizations, Anthropic and OpenAI are positioning themselves as competitors to traditional management and IT consulting firms like McKinsey, BCG, and Accenture. This move could disrupt the existing $1.4 trillion global IT services market, especially in the mid-market segment, which is too small for the Big Four to serve profitably but too sophisticated for self-service solutions.

Industry experts suggest that this shift might lead to a reallocation of enterprise services revenue from human consultants to AI-augmented engineering teams, fundamentally changing the economics of enterprise transformation. For Anthropic, this strategy also aligns with its potential IPO, where demonstrating a durable revenue stream from enterprise deployment is critical for valuation and investor confidence.

Strategic Background and Industry Implications

Over the past year, Anthropic has significantly expanded its enterprise footprint, with a reported annual recurring revenue (ARR) of $9 billion, projected to grow beyond $30 billion by late March 2026. The company has maintained its relationship with the Claude Partner Network, which includes major consulting firms like Accenture, Deloitte, and PwC, but the new JV represents a direct ownership stake, providing Anthropic with a vertically integrated model.

The broader industry context includes OpenAI’s recent valuation of $10 billion for DeployCo, backed by large PE commitments and a focus on outcome-based AI solutions. These developments occur amid a competitive landscape where AI firms are positioning for IPOs, with Anthropic reportedly finalizing a funding round that could value it at $900 billion, surpassing OpenAI’s valuation.

The strategic pattern suggests a coordinated effort to capture enterprise market share, leveraging embedded AI engineering as a core service offering, directly challenging traditional consulting and IT services providers.

“The launch of these AI-native enterprise service firms marks a fundamental shift in how AI companies are engaging with the market, directly challenging established consulting giants and aiming to redefine enterprise transformation.”

— Thorsten Meyer

Unclear Details on Long-Term Market Impact

While the immediate strategic intent and structure of the new entities are clear, it remains uncertain how extensively they will displace traditional consulting firms and whether their models will prove sustainable at scale. The actual revenue share captured from existing consulting engagements and the response from established firms are still developing.

Additionally, the impact on the broader enterprise software and services market, including potential regulatory or client adoption challenges, is not yet known. The timing and success of Anthropic’s planned IPO also remain uncertain, with market conditions and investor sentiment playing critical roles.

Next Steps in Industry Transformation and IPO Timing

In the coming months, industry observers will monitor the progress of Anthropic’s funding round, its IPO timeline, and the performance of DeployCo. The response from traditional consulting firms, including potential strategic shifts or partnerships, will also be key indicators of the evolving competitive landscape.

Further, the success of these embedded AI engineering models in delivering measurable outcomes will influence broader enterprise adoption and could accelerate the disruption of the consulting industry. Regulatory developments and client acceptance will also shape the long-term trajectory of this strategic shift.

Key Questions

What is the main goal of Anthropic and OpenAI’s new enterprise service firms?

The main goal is to embed AI engineers into mid-sized companies to redesign workflows and deliver AI-driven outcomes, challenging traditional consulting firms and capturing a larger share of enterprise services revenue.

How do these new entities compare to traditional consulting firms?

Unlike traditional firms that rely on human consultants, these AI-native firms embed AI engineers directly into client organizations, aiming for more scalable, outcome-focused solutions with a vertically integrated model.

What is the significance of the funding and valuation figures mentioned?

The large investments and high valuations signal strong investor confidence and indicate that these firms aim for rapid growth and significant market disruption, possibly leading to IPOs within the next year.

Will this shift eliminate traditional consulting firms?

While it may reduce some demand for human consulting services, especially in mid-market segments, established firms are likely to adapt and compete by integrating AI solutions into their offerings.

When might we see these AI-driven enterprise models fully mature?

Full maturity depends on client adoption, regulatory factors, and the firms’ ability to scale and deliver measurable outcomes, which could take several years to realize fully.

Source: ThorstenMeyerAI.com