Big Tech’s AI paper gains are turbocharging profits — but raising questions about how durable they are

A profit surge that comes from elsewhere

The latest round of Big Tech earnings has been shaped by a striking and somewhat unusual source: gains on stakes in other AI companies. A Financial Times report said the combined effect has added about $160 billion to profits, a figure that reflects how sharply the value of private and listed AI-related holdings has risen in recent quarters. The result is that some of the biggest names in technology have been able to report stronger bottom-line performance without that improvement coming directly from selling more cloud services, ads, chips, or software licenses. ([signalpro.markets](https://signalpro.markets/news/big-tech-profits-get-160bn-boost-from-gains-on-stakes-in-other-ai-companies-7wxd7?utm_source=openai))

That distinction matters because these gains are not the same as cash generated from day-to-day operations. They can improve reported earnings under accounting rules when a company’s equity investments are marked to market or otherwise revalued, but they also can move sharply in either direction if startup valuations change. In other words, the boost is genuine in accounting terms, yet it can still be fragile in economic terms. ([signalpro.markets](https://signalpro.markets/news/big-tech-profits-get-160bn-boost-from-gains-on-stakes-in-other-ai-companies-7wxd7?utm_source=openai))

Why AI enthusiasm is feeding earnings

The broader AI boom has created a loop in which the biggest platforms and chipmakers are both funding and benefiting from each other’s growth. Reuters reported earlier this month that investors have shifted from asking whether AI spending will pay off at all to asking which companies will capture the long-term returns from the buildout. That shift helps explain why market enthusiasm has continued even as capital spending on AI infrastructure has accelerated. ([investing.com](https://www.investing.com/news/stock-market-news/big-investors-hunt-for-tomorrows-ai-winners-as-capex-angst-fades-4875002?utm_source=openai))

Recent reporting also shows that AI demand is still supporting real business expansion in the sector. AP reported last week that Alibaba’s AI cloud and compute services revenue jumped 45% year on year, even though its overall quarterly profit fell because it was spending heavily on infrastructure. That is an important contrast: some firms are still seeing operational gains from AI, but the investment bill is rising quickly. ([apnews.com](https://apnews.com/article/8a30302d23a96fc7b9aab664b9c1897d?utm_source=openai))

Nvidia, the most valuable company in the sector at points this year, has also remained central to the story. AP reported that its data-center business, which includes demand from hyperscalers such as Amazon, Meta and Google, posted revenue of $89 billion, more than doubling from a year earlier. That underlines how the AI economy is producing very large real revenues as well as paper gains, even if the two are now increasingly intertwined. ([apnews.com](https://apnews.com/article/dc8d556e709b50915cca9217a60b1991?utm_source=openai))

What the $160 billion figure suggests

The FT’s headline number points to a deeper issue: the gap between earnings quality and earnings quantity. A company can post a bigger profit figure because a stake in a fast-rising AI startup is worth more at quarter-end, even while its underlying business growth is more modest. That can make the overall sector look more profitable than it would if analysts stripped out investment revaluations and focused only on recurring operating income. ([signalpro.markets](https://signalpro.markets/news/big-tech-profits-get-160bn-boost-from-gains-on-stakes-in-other-ai-companies-7wxd7?utm_source=openai))

This is why market watchers have become more cautious about reading too much into headline earnings beats. AP has reported that investors are asking whether all the dollars flowing into AI chips and data centers can produce enough productivity gains and profits to justify the enormous spending. Reuters has similarly reported concern that some of the sector’s recent strength may be tied to a self-reinforcing cycle of spending, investment and valuation uplift. ([apnews.com](https://apnews.com/article/9563a33b0789edf00cf92e76c6516fe5?utm_source=openai))

There is also a timing issue. A valuation gain recorded in one quarter can disappear in the next if sentiment cools or if a private company’s fundraising round resets expectations. That makes the latest windfall useful as a snapshot of the market’s current confidence, but not a reliable guide to future earnings power. This is an inference from the accounting treatment and the volatility of private-market valuations described in the reporting. ([signalpro.markets](https://signalpro.markets/news/big-tech-profits-get-160bn-boost-from-gains-on-stakes-in-other-ai-companies-7wxd7?utm_source=openai))

The circularity problem

The most sensitive part of the story is the apparent circularity of the AI economy. Large tech firms invest in AI startups; those startups buy compute, chips and cloud capacity; the resulting growth lifts valuations; and those higher valuations can flow back into the investors’ own profit statements. That loop can help all the participants in the short term, but it also raises the possibility that each link in the chain is leaning on the others. ([axios.com](https://www.axios.com/2026/08/28/nvidia-ai-chip-circular-finance-startups?utm_source=openai))

Reuters recently described the AI trade as something investors are increasingly treating as an ecosystem rather than a single betting line on one winner. That is true both economically and financially: hyperscalers, chipmakers, infrastructure providers and startups are all feeding one another’s momentum. Yet ecosystems can be healthy and still produce distorted signals if valuations rise faster than the actual cash flows that justify them. ([investing.com](https://www.investing.com/news/stock-market-news/big-investors-hunt-for-tomorrows-ai-winners-as-capex-angst-fades-4875002?utm_source=openai))

That is why analysts quoted in the broader coverage have started to ask not just whether AI is real, but which parts of the AI boom are repeatable. Earnings driven by product demand, cloud usage and chip shipments tend to be easier to sustain than those driven by mark-to-market revaluations of minority stakes. The distinction may become more important if public markets become less forgiving about lofty prices. ([signalpro.markets](https://signalpro.markets/news/big-tech-profits-get-160bn-boost-from-gains-on-stakes-in-other-ai-companies-7wxd7?utm_source=openai))

What investors will watch next

For investors, the next test is whether these gains are a one-off boost or part of a durable pattern. If startup valuations keep climbing and major AI investments continue to be rewarded, reported profits could remain elevated. But if financing conditions tighten or the market re-rates private AI companies, some of the same accounting gains could reverse quickly. ([signalpro.markets](https://signalpro.markets/news/big-tech-profits-get-160bn-boost-from-gains-on-stakes-in-other-ai-companies-7wxd7?utm_source=openai))

That is especially relevant for a global audience, including Kenya, where many readers track Big Tech not only as a market story but also as a signal for digital infrastructure, cloud pricing, advertising budgets and the direction of international capital. When the world’s biggest tech groups report stronger profits, it can affect everything from investor sentiment to the appetite for new data-center projects and AI partnerships across emerging markets. This is an analytical implication based on the scale of the companies involved and the cross-border nature of AI investment described in the sources. ([apnews.com](https://apnews.com/article/dc8d556e709b50915cca9217a60b1991?utm_source=openai))

For now, the FT’s $160 billion figure captures a market in which AI is doing more than changing product road maps: it is also changing the way profits are booked. The numbers may be large, but the message is straightforward. In this phase of the AI boom, investors are not only paying for future growth — they are also being shown how much of today’s growth may already be embedded in paper gains. ([signalpro.markets](https://signalpro.markets/news/big-tech-profits-get-160bn-boost-from-gains-on-stakes-in-other-ai-companies-7wxd7?utm_source=openai))

Method note

This article was produced from the supplied lead and corroborated with reporting from Financial Times-linked references, Reuters-reported market coverage, AP’s earnings coverage, and other independent publisher pages. It avoids repeating source phrasing and separates accounting effects from operating performance. ([signalpro.markets](https://signalpro.markets/news/big-tech-profits-get-160bn-boost-from-gains-on-stakes-in-other-ai-companies-7wxd7?utm_source=openai))

Sources:

• Financial Times via Google News RSS lead and FT-linked references
• Reuters via Investing.com
• Reuters via Investing.com
• Associated Press
• Associated Press