From Trailing Revenues to a Projected Breakout Quarter
Anthropic’s latest revenue guidance signals a sharp turn in the AI platform race. While OpenAI recently reported USD 5.7 billion (approx. RM26.2 billion) in quarterly revenue versus Anthropic’s USD 4.8 billion (approx. RM22.1 billion), keeping a USD 1 billion (approx. RM4.6 billion) lead, the trajectory is shifting. Investor materials cited in recent reports indicate Anthropic is forecasting USD 10.9 billion (approx. RM50.1 billion) in revenue for the current quarter, implying roughly 130% sequential growth and more than doubling its previous sales. If delivered, that jump would push Anthropic’s quarterly revenue above its total sales for the prior year and bring its annualized run-rate close to the USD 30 billion (approx. RM138.0 billion) level already in view for both companies. For the broader market, this is less about a single blockbuster quarter and more about how revenue scaling could reorder expectations around long-term AI market dominance.
Anthropic Overtakes OpenAI in Measured Business Adoption
Behind the headline revenue numbers is an equally significant shift in how enterprises are choosing their day-to-day AI tools. Data from Ramp’s expense platform shows Anthropic now accounting for 34.4% of tracked corporate AI spending, edging past OpenAI’s 32.3%. Unlike survey-based sentiment, this index is built from real credit card transactions across more than 50,000 companies buying AI as they would any SaaS subscription. The methodology excludes bundled cloud mega-deals, so it highlights which vendors win when individual teams decide where to put their budget. Anthropic’s rise from about 9% to the mid-30s in a year underscores how quickly Claude AI adoption has spread inside businesses, while OpenAI’s share has slipped and even saw its largest single-month drop in February. This shift suggests purchasing managers are increasingly comfortable betting core workflows on Claude rather than defaulting to ChatGPT.
Claude AI Adoption and the Path to First Profit
Anthropic’s projected operating profit of USD 559 million (approx. RM2.6 billion) between April and June would mark its first profitable quarter, a notable milestone for a company still in aggressive build-out mode. That profitability target rests heavily on accelerating Claude AI adoption, particularly among enterprise customers embedding the assistant into internal workflows and customer-facing applications. Revenue from these deployments is turning into a practical test of whether enterprise AI spending can keep pace with the infrastructure commitments required to support it. Anthropic is expanding compute capacity, including data-center power and access to Nvidia GPUs, to sustain higher request volumes and more demanding use cases. For large buyers, the question is whether this investment translates into consistent response times and reliable capacity at scale. For investors, the focus is whether one profitable quarter is a proof point for durable margins or a temporary artifact of demand outpacing costs.
OpenAI’s Lead, Anthropic’s Momentum, and the Enterprise AI Outlook
OpenAI still holds the revenue crown for now, powered by its Codex coding assistant, growing enterprise sales, and a 55 million-strong paying subscriber base for ChatGPT. It also reported 905 million weekly users, indicating broad consumer and developer reach. Yet Anthropic’s growth forecasts suggest that OpenAI’s market share advantage could erode quickly if those numbers materialize. The key dynamic is that rising compute and infrastructure costs are being offset by robust enterprise AI spending on both sides. As Anthropic scales Claude and OpenAI expands its toolset, procurement teams are less locked into a single vendor and more likely to adopt a multi-model strategy based on performance, reliability, and pricing. The next few quarters will test whose business model best converts surging demand into sustainable profit—and whether Anthropic’s recent gains in corporate adoption signal a lasting redistribution of enterprise AI market power.
