AI Industry Hits Scale: $25B Revenue, 800M Devices

OpenAI's Revenue Rocket

OpenAI has crossed $25 billion in annualized revenue as of late February 2026, up from $21.4 billion at the end of 2025 and roughly $6 billion just 14 months earlier. That fourfold surge makes it the fastest-growing enterprise software company ever to reach this scale — a milestone that took Salesforce 18 years, Google 17, and Facebook 12.

ChatGPT now serves more than 900 million weekly active users, and the company counts over 9 million paying business customers. Yet despite the revenue explosion, OpenAI remains unprofitable, burning through billions in compute costs as it trains ever-larger models.

The company is now laying the groundwork for what could be a landmark IPO. CFO Sarah Friar has reportedly told associates the company is targeting a 2027 listing, though some advisers believe a regulatory filing could come as early as late 2026. With its most recent private round in February valuing OpenAI at approximately $730 billion, the company is reportedly eyeing a public market valuation of up to $1 trillion — more than Ford, GM, and Boeing combined.

Samsung's 800 Million AI Devices

While OpenAI scales its cloud business, Samsung is bringing generative AI to the physical world. At CES 2026, co-CEO T.M. Roh announced plans to double the number of Gemini-powered mobile devices from 400 million in 2025 to 800 million this year.

"We will apply AI to all products, all functions, and all services as quickly as possible," Roh told Reuters in his first interview since becoming co-CEO. The strategy extends beyond flagships: Samsung aims to push Galaxy AI — a blend of Google's Gemini model and its own Bixby assistant — into mid-range and budget smartphones, as well as tablets, televisions, and home appliances.

The move is as much about market share as innovation. Samsung is betting that pervasive AI integration will help it reclaim smartphone leadership from Apple, while Google gains a massive distribution channel for its Gemini platform. "Although AI technology may seem a bit hesitant right now, within six months to a year it will become more widespread," Roh said.

MCP: The Quiet Infrastructure Revolution

Perhaps the most telling sign that AI has matured beyond hype is the rise of Anthropic's Model Context Protocol. On March 25, MCP crossed 97 million installations — the fastest adoption curve for any AI infrastructure standard in history, outpacing even Kubernetes in its early years.

MCP standardizes how AI agents connect to external tools, databases, and enterprise applications. What began as an internal Anthropic experiment in late 2024 has become a universal plumbing layer adopted by every major AI vendor — OpenAI, Google, Microsoft, AWS, and Cloudflare all now support it through the Linux Foundation's Agentic AI Foundation. More than 10,000 MCP servers run in production today, with over 5,800 community and enterprise integrations available.

From Experiment to Infrastructure

Taken together, these developments mark a turning point. OpenAI's revenue proves consumer and enterprise demand for AI is real and accelerating. Samsung's device strategy shows hardware manufacturers are embedding AI at population scale. And MCP's adoption confirms that the unglamorous but essential infrastructure layer is now in place for AI agents to operate reliably across business systems.

The AI industry is no longer asking whether the technology works. The question now is who will control the platforms, protocols, and devices through which billions of people interact with it daily.