As companies like Anthropic and OpenAI experience rapid revenue growth, questions arise about the sustainability of the AI bubble. Despite significant investments, many firms struggle to turn a profit.
Anthropic’s annual run rate skyrocketed from $14 billion to $30 billion in just two months. This surge outpaces historical growth rates seen during pivotal times, such as Zoom’s during the pandemic or Google’s in the early 2000s. In fact, Anthropic’s revenue growth is even compared to Standard Oil’s during the Gilded Age.
A recent survey reveals that over half of American businesses now utilize at least one AI tool or service, up from roughly a quarter at the start of 2025. This increasing adoption fuels cloud revenue for tech giants: Google reported a 48 percent increase, Microsoft saw a 39 percent rise, and Amazon experienced a 24 percent boost compared to last year.
However, not everyone is optimistic. Sam Altman, CEO of OpenAI, expressed skepticism about investor enthusiasm. “Are we in a phase where investors as a whole are overexcited about AI? My opinion is yes,” he stated. This sentiment resonates with observers like Azeem Azhar, who remarked, “This pace of revenue growth is absolutely not normal.”
The race for AI profitability continues as investors have poured over $300 billion into this sector. Yet, despite these impressive figures, many companies face uncertainty regarding their financial futures. Anthropic anticipates turning a profit by 2028, while OpenAI aims for 2030.
As companies invest heavily in data centers and chip infrastructure to meet growing demand, experts caution against market hype. Paul Kedrosky noted that “market hype leads to more demand. More demand makes you think you need more supply.” This cycle raises questions about how long this growth can sustain itself.
The sustainability of current growth rates remains unclear as companies navigate this rapidly evolving landscape. Tim Fist, a computer science Ph.D. student, humorously remarked on the impact of AI tools like Claude Code: “It feels sort of ridiculous to be working on my computer-science Ph.D., because Claude can basically do 90 percent of it.”
The future holds many uncertainties for AI firms as they strive for profitability amid soaring expectations and investments.
