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The AI trade is entering a different phase, and investors may need to rethink their expectations.
For the past two years, artificial intelligence has been one of the biggest investment narratives in global markets. Billions of dollars have flowed into chipmakers, data centres, cloud infrastructure and AI model developers. Valuations expanded rapidly, largely on expectations of future growth rather than proven profitability.
But the market is starting to ask a much more important question
How much of this investment will actually translate into sustainable revenue and profits?
Look at China Some of its high profile AI companies, including $MINIMAX
and $ZHIPU , have suffered significant declines from their peaks. Even established technology names such as Alibaba, Tencent, Xiaomi and Lenovo have faced considerable pressure.
This is particularly interesting because China has already experienced a similar cycle in the electric vehicle industry. Hundreds of companies entered the market, attracted by government support, investor capital and enormous growth expectations. Eventually, competition intensified, price wars compressed margins and weaker businesses struggled to survive.
AI could be following a similar path.
The United States is not immune either.
#NVIDIA ia, AMD, #Micron and other semiconductor companies have benefited enormously from the AI infrastructure boom. Meanwhile, companies such as CoreWeave, Nebius and other neocloud providers have attracted substantial capital to build the computing capacity required for AI development.
However, the economics of this expansion deserve closer examination.
Building data centres, purchasing GPUs and securing electricity require enormous upfront investment. These businesses need sustained demand, strong utilization rates and sufficient cash flow to justify their capital expenditure.
If financing becomes more expensive, customers slow their spending, or computing capacity grows faster than actual demand, the pressure could become significant.
There is another issue investors should not overlook: competition.
OpenAI, Anthropic, Google, Meta and emerging Chinese AI developers are all competing for market share. As models become more accessible and computing efficiency improves, the competitive advantage of individual companies could become harder to maintain.
This creates a difficult equation: infrastructure costs remain enormous while the price of AI services could face downward pressure.
But does that mean the AI revolution is over? Absolutely not.
The technology can continue transforming industries while many of the companies associated with it fail to deliver the returns investors currently expect.
We have seen this before. The internet survived the dot-com crash. E-commerce survived the collapse of numerous internet companies. The underlying technology was real, but not every valuation or business model was sustainable.
I believe investors should start distinguishing between three things:
AI adoption: The actual long-term economic transformation driven by artificial intelligence.AI infrastructure: The companies building chips, data centres, power capacity and computing networks.AI speculation: Businesses whose valuations depend heavily on future expectations, cheap financing and continuous capital inflows.
These are three different investment propositions, and they should not be treated equally.
My biggest concern is not that AI will disappear. It is that capital may have moved too quickly ahead of the industry's ability to generate sustainable returns.
The next phase could separate companies with real competitive advantages, healthy balance sheets and recurring cash flows from those simply riding the AI narrative.
The AI revolution may still be in its early stages, but the easy-money phase of the AI trade could be approaching its end.
The question is no longer just who will lead the AI race. It is who will still be profitable when the hype fades.
My analytical takeaway
I would make one distinction particularly clear in your discussion:
Bearish on valuations doesn't mean bearish on AI technology.A correction in AI stocks doesn't automatically mean the industry is collapsing.The real warning signs are funding costs, cash burn, capital expenditure, debt servicing and the ability to monetize AI investments.
This is also where I'd pay particular attention to CoreWeave, Nebius, Nvidia and Micron. Their businesses are exposed to different parts of the AI investment cycle, so a decline in all four does not necessarily mean the same thing fundamentally.
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