B2B AI Agents | OpenAI is losing massive market share: Why all companies are now switching to Claude

AI builds software itself: How Anthropic is rewriting the rules of the entire industry

The world of artificial intelligence is experiencing a historic upheaval: Within a very short time, Anthropic – the company behind the Claude language model – has put massive pressure on the once undisputed market leader OpenAI and is poised to take over the dominance of the enterprise market. With an unprecedented explosion in revenue, groundbreaking programming tools like Claude Code, and a visionary platform strategy, Anthropic is not only turning the power dynamics in the AI ​​sector upside down but also threatening the business model of the entire traditional software industry. If companies have their applications generated by AI agents themselves in the future, instead of paying for expensive subscriptions, the tech world is facing a fundamental transformation. Anthropic CEO Dario Amodei warns emphatically: We are only on "square 40 of the chessboard" in technological development – ​​the real, exponential growth that will completely defy our imagination is still to come for the economy and society.

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When the challenger becomes the dominant player, the entire software industry trembles

The technology world is currently experiencing a shift of tectonic proportions. Within just a few months, Anthropic, the maker of the Claude models, has transformed from a respected challenger into the dominant player in the enterprise artificial intelligence market. The resulting figures would have been considered unrealistic even by the most optimistic analysts a year ago. The company's annualized revenue run rate surpassed $19 billion at the beginning of March 2026, having stood at around $9 billion at the end of 2025 and at approximately $14 billion just a few weeks prior. This doubling within a single quarter represents one of the most rapid revenue expansions in the history of the technology industry.

For comparison, OpenAI, the company behind ChatGPT and the undisputed market leader for many years, reached an annualized revenue run rate of approximately $25 billion at the end of February 2026. The gap between the two companies has thus shrunk to around $6 billion, a fraction of the disparity that existed just a year ago. Projections based on their respective growth rates—Anthropic is growing tenfold per year compared to OpenAI's 3.4 times—suggest that a convergence could occur as early as mid-2026. Even assuming that Anthropic's growth slows, the convergence of the two companies remains a scenario likely to materialize within the current or next year.

Ramp data as a seismograph of market change

Particularly revealing are the spending data from the financial services provider Ramp, which offers corporate credit cards and expense management to approximately 50,000 US companies. In February 2026, Ramp recorded a jump in the Anthropic adoption rate from 16.7 to 19.5 percent, one of the largest monthly increases since the survey began. One in five companies on the Ramp platform now pays for Anthropic products. A year earlier, it was one in 25. OpenAI saw a slight decline over the same period, slipping from 36.8 to 35.9 percent.

The comparison becomes even more dramatic when considering the spending distribution solely between OpenAI and Anthropic, without including other providers. At the beginning of 2025, in the Ramp dataset, approximately 90 percent of combined spending on AI chat subscriptions went to OpenAI products such as ChatGPT Business, ChatGPT Plus, and ChatGPT Pro. Anthropic occupied a niche market. By February 2026, this ratio had dramatically reversed: Anthropic now accounts for roughly 65 percent of these combined enterprise expenditures, while OpenAI's share has dropped to about 35 percent. These figures illustrate a power shift of unprecedented speed.

This picture is complemented by Menlo Ventures' report on the state of generative AI in the enterprise sector from December 2025. According to the report, Anthropic increased its share of enterprise LLM API spending to 40 percent, tripling from 12 percent in 2023. OpenAI fell from 50 to 27 percent during the same period. Google was able to increase its share to 21 percent. Together, these three leading providers control 88 percent of the market. The balance of power has therefore not only shifted, it has fundamentally restructured.

Claude Code as the growth engine of the new order

The central driver behind Anthropic's rise is Claude Code, the company's programming tool. In November 2025, Claude Code reached an annualized revenue run rate of one billion dollars, just six months after its general release. By March 2026, this figure had grown to 2.5 billion dollars, doubling again in just a few months. Companies like Uber, Salesforce, Accenture, and Spotify are already using Claude Code in production environments.

What makes Claude Code so attractive is its ability to plan, write, and test complete software projects. In February 2026, Anthropic introduced Claude Opus 4.6, a model that offers a context window of one million tokens and, for the first time, enables the coordination of multiple AI agents in complex programming projects. The productivity gains that companies achieve with these tools are substantial. A collaboration between Anthropic and IBM resulted in a productivity increase of approximately 45 percent for over 6,000 developers in automating code upgrades and refactoring tasks.

Anthropic itself is the best proof of the power of its own tools. Dario Amodei, the company's founder and CEO, explained at the Morgan Stanley TMT conference in early March 2026 that Anthropic uses its own models extensively internally for the automation of server management, cluster control, and feature design. This has doubled or even tripled the company's end-to-end production efficiency.

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DIY instead of software licensing – The end of the SaaS model

The consequences of this development extend far beyond the AI ​​market and threaten the business model of the entire traditional software industry. If companies can develop their own software quickly and cost-effectively using AI programming tools, the fundamental question arises anew: is it more economically viable to purchase expensive software licenses or to develop the required applications themselves?.

The consulting firm AlixPartners warned in its December 2025 report that the mid-market enterprise software industry would enter an unprecedented consolidation phase. Mergers and acquisitions in this segment are expected to increase by 30 to 40 percent in 2026 compared to the previous year. The traditional defenses of SaaS providers—namely, the complexity of software development, high training costs, and the reliance on existing workflows—are eroding as AI tools become increasingly powerful.

This trend has already been given a name: AI is fundamentally changing the build-versus-buy equation. At a hackathon event in San Francisco, a new application was deployed to the hosting platform Netlify approximately every ten seconds, most of them internal tools created by companies for their own use. Tools like Bolt and Replit enable a new category of developers, so-called software composers, who don't need years of computer science training but can generate functional code using natural language instructions.

Deloitte predicts that AI agent-based solutions could account for around 60 percent of the addressable software market by 2030. Gartner expects that 80 percent of companies will transform large software development teams into smaller, AI-supported teams by 2030. The reality of this disruption is arriving faster than expected, according to AlixPartners in its 2026 analysis.

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Amodei's chessboard metaphor and the exponential future

Amidst this upheaval, Dario Amodei presented an image at the Morgan Stanley conference that makes the coming developments tangible. He compared the development of artificial intelligence to the well-known fable of the grains of rice on the chessboard, where doubling on each square leads to astronomical quantities. The AI ​​industry, he said, is currently on the 40th of 64 squares.

The implication is enormous: All the growth of the existing 39 fields—that is, the entire path from GPT-3 through ChatGPT to the current models—could be only a fraction of what is happening in the remaining 24 fields. The speed from the 40th to the 64th field will dwarf anything experienced so far. Amodei explicitly contradicted the notion that the scaling laws had reached a plateau. On the contrary, 2026 will bring a radical acceleration.

Amodei's assessment is particularly significant: progress in code generation has exceeded even the most optimistic expectations, and this pattern will, with a slight delay, spread to all sectors of the economy, from financial services and healthcare to law, education, and manufacturing. What is already happening in the field of code is therefore the leading indicator of its penetration across the entire economy.

The Anthropic Marketplace and the platform strategy

To solidify its position, Anthropic launched its own marketplace for Claude-based enterprise software on March 6, 2026. Customers with existing annual spending commitments with Anthropic can use a portion of that budget to purchase third-party software built on Claude without Anthropic charging a commission. Launch partners include Snowflake, the legal AI firm Harvey, and the developer platform Replit.

The strategic logic is clear: Every time a customer uses a partner's tool via the Marketplace, they deepen their relationship with Anthropic rather than with the respective software provider. Claude, as the intelligence layer, remains the constant. This positions Anthropic not just as a model provider, but as a platform with the potential to become the operating system for enterprise AI.

The talent question as a hidden competitive advantage

Another aspect often overlooked in public discourse is Anthropic's personnel policy. Amodei emphasized that his company's real competitive advantage lies not in hardware or computing power, but in its ability to retain the world's best researchers. Despite poaching offers ranging from $100 million to $500 million, only two researchers have left the company. In a market where top researchers literally make the difference between the leading and second-best model, this employee retention is invaluable.

At the same time, Anthropic is pursuing a multi-cloud and multi-chip strategy to circumvent hardware bottlenecks and avoid dependence on a single vendor. This diversification is a sign of entrepreneurial maturity that goes beyond mere model development.

What comes after field 40?

Anthropic is valued at around $380 billion, and recent funding rounds with investors like Coatue Management, Singapore's sovereign wealth fund GIC, and Iconiq Capital reinforce confidence in its growth story. But the real question isn't whether Anthropic will overtake OpenAI. The real question is whether the economy and society are prepared for the changes that will occur when the grains of rice begin to grow on the remaining 24 squares of the chessboard.

If Amodei's analogy is correct, then the AI ​​industry is entering a phase in which the changes of the past three years will seem like a gentle prelude. Companies that underestimate this dynamic risk not only losing market share but also having their very existence called into question. The figures from Ramp, Menlo Ventures, and Bloomberg don't just tell the story of a single company conquering the market. They tell the story of a technology that is only just beginning to realize its potential, and whose exponential nature systematically overwhelms human imagination.

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