Anthropic has crossed a symbolic threshold in the artificial intelligence arms race, with new data from Ramp’s AI Index showing its Claude model capturing 34.4 percent of business spending in April, overtaking OpenAI’s 32.3 percent. The reversal, drawn from corporate card activity across more than fifty thousand American firms, underscores a broader shift in how enterprises deploy generative AI. Viewed from Silicon Valley, the surge is powered almost entirely by Claude Code, a tool that lets engineers offload complex coding tasks to autonomous sub-agents. Boris Cherny, the engineer who built Claude Code, recently disclosed that his personal setup involves “a few thousand” AI agents running overnight, many of them activated through his phone — a glimpse into a future where AI moves from conversational companion to round-the-clock digital workforce.

The coding arms race has intensified into a freebie war between the two leading labs. Within the same hour last Wednesday, OpenAI’s Sam Altman announced two months of free Codex access for new business sign-ups, while Anthropic boosted Claude Code’s weekly usage limits by 50 percent until mid-July. Anthropic’s own CFO, Krishna Rao, revealed on a podcast that Claude now writes 90 percent of the company’s own code, and that the shift has reshaped white-collar roles from execution to oversight — a transformation that, counter-intuitively, has led Anthropic to hire more people, not fewer. Analysts in London note that this pattern challenges the prevailing narrative of AI-driven job displacement, suggesting instead a redefinition of what knowledge workers actually do.

Beyond coding, Anthropic is pushing into new verticals with characteristic precision. Claude Design, released alongside the Opus 4.7 model, was tested head-to-head against Canva AI by a technology reviewer in Shanghai. The tool asked far more probing questions — which camera, what colour exact shade — and automatically fixed overlapping text boxes before the user could complain. Canva, for its part, has responded with a more interactive AI 2.0, but the partnership between the two companies suggests coexistence rather than outright war: Claude-generated slides can be exported directly into Canva for fine-tuning. Meanwhile, in Frankfurt, legal professionals are taking note of Claude for Legal, a suite of twelve specialised modules covering contract law, due diligence, and intellectual property, positioning Anthropic to compete in one of the most lucrative and risk-averse sectors of the economy. Even Claude’s occasional quirk — urging users to “go to bed” after long sessions — has sparked bemused speculation about whether the model has been trained to prioritise human wellbeing.

Forward-looking analysis suggests that Claude’s enterprise surge is neither temporary nor trivial. The combination of a superior coding tool, aggressive free-tier expansion, and targeted vertical plays in design and law gives Anthropic a diversified moat that OpenAI, still heavily reliant on ChatGPT subscriptions, has yet to match. Yet the volatility of the market, as Ramp’s chief economist points out, means today’s leader can be tomorrow’s laggard. The deeper narrative, however, is about the changing nature of white-collar work itself: as execution becomes automated, the premium will shift to human judgment, strategic oversight, and the ability to orchestrate fleets of AI agents — skills that neither Silicon Valley nor its competitors across the Atlantic have fully begun to teach.