Where did the AI bubble go?

Not long ago, fears of an AI bubble dominated headlines. Concerns around high valuations, rising debt levels, and the massive cost of building new data centres saw tech share prices fall significantly.

But as we’ve highlighted in this article late last year, upfront investment outlays are often required before revenues scale exponentially; so the key question is whether this growth would come, and if so, how long it would take?

Anthropic surpasses OpenAI in annualised revenue

Perhaps the best proof point happened last week when Anthropic announced it reached US$30 billion in annualised revenue – up from just $9 billion at the end of 2025.

That’s more than triple in the space of just three months, with growth driven by businesses rapidly adopting AI, with now over 1,000 companies paying over $1 million annually for Anthropic’s latest models.

To put into context how fast this achievement is, Google (NASDAQ: GOOGL) only crossed the $30B revenue threshold when it had ~110,000 people. Anthropic achieved this milestone with ~2,500 employees and just ~1.5-2 gigawatts of compute capacity(1) . All else equal, that should bode well for improving profitability as the company grows.

And with AI agents becoming a legitimate solution to solve real business problems, there will likely be more companies embedding Anthropic models into their products and services. In other words, companies are moving past the ‘testing’ phase and putting AI to work at scale.

The outlook for continued revenue acceleration remains bright given we have not yet reached the steepest part of the technology adoption curve – the phase where growth typically accelerates fastest – with business AI usage still in early stages.

The outlook for US tech

Anthropic’s result is a vote of confidence to the broader AI ecosystem and so far, validates the billions that the largest tech companies have been spending on data centre infrastructure.

The US Information Technology sector is expected to report the strongest profit growth of any sector for the first quarter of 2026(2)  for Q1 2026, led by companies in the semiconductor industry.

Abroad, Samsung, a leading memory chip maker, reported a dramatic jump in quarterly profit , while Taiwan Semiconductor (NASDAQ: TSM) is set to report earnings later this week with analysts expecting AI-related revenues to more than double.

Beyond strong fundamentals, valuations look more reasonable, with the Nasdaq 100 trading at a lower premium to the S&P 500 than at any point since 2018. A large part of this shift has been driven by the Nasdaq 100’s stronger profit growth over recent years.

Additionally, the Nasdaq’s new fast entry rule could also allow major companies going public (known as IPOs), such as potential listings from Anthropic, OpenAI, and SpaceX, to join the index just 15 trading days after listing.

Looking forward, investors will remain attentive to how profitability improves, particularly for AI research labs like Anthropic given the scale of infrastructure spending required. That said, this is a positive development for leading hardware providers such as Google and Broadcom they are building the latest generation of specialised AI chips (known as TPUs), set to provide Anthropic around 3.5 gigawatts of compute capacity starting in 2027.

With the Nasdaq 100 trading at fairer valuations, and evidence of AI monetisation already before us, current valuations may appear more attractive compared to recent years for those considering exposure to the technology sector.

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