AI Stocks Are Rising — But the Bigger Opportunity May Be Behind the AI Boom
Everyone is watching Nvidia and the biggest AI names, but the bigger question is: what happens after the obvious AI trade?
Nvidia’s latest numbers show how powerful the AI infrastructure cycle has become. In Q2 FY2027, Nvidia reported $96.2B in revenue, up 106% year over year, while Data Center revenue reached $89B, up 117%. The company has also projected roughly 70% revenue growth for fiscal 2028. That shows AI compute demand is still expanding — although growing AI demand does not mean every AI stock is a good investment.
That’s why I’m looking beyond GPUs.
Power, cooling, networking, optical components, semiconductors, data-center infrastructure, cybersecurity and energy storage could all benefit from the same buildout. Reuters recently highlighted how power and cooling suppliers are benefiting as data centers race to solve infrastructure bottlenecks.
There’s another side to this story: capital intensity and risk. AI infrastructure requires enormous amounts of electricity, hardware and financing. Recent reporting has highlighted rising debt, grid constraints and increasing scrutiny around data-center expansion.
The policy debate matters too. On September 19, President Trump announced plans for an “AI Force” and said AI could eventually represent as much as 25% of U.S. GDP. That is a projection, not a current economic statistic, but it shows how seriously AI is being treated as a strategic and economic sector.
So my view is long-term bullish on AI adoption, but selective on AI stocks.
The next phase may not simply be about who builds the smartest AI model. It could also be about who supplies the electricity, cooling, networking, security and infrastructure that allows AI to scale.
AI may be the headline. But the infrastructure behind AI could be the bigger story.
What do you think comes next — more upside for major AI stocks, or a rotation toward the companies powering the AI ecosystem?
#AIStocksWhatNext
Everyone is watching Nvidia and the biggest AI names, but the bigger question is: what happens after the obvious AI trade?
Nvidia’s latest numbers show how powerful the AI infrastructure cycle has become. In Q2 FY2027, Nvidia reported $96.2B in revenue, up 106% year over year, while Data Center revenue reached $89B, up 117%. The company has also projected roughly 70% revenue growth for fiscal 2028. That shows AI compute demand is still expanding — although growing AI demand does not mean every AI stock is a good investment.
That’s why I’m looking beyond GPUs.
Power, cooling, networking, optical components, semiconductors, data-center infrastructure, cybersecurity and energy storage could all benefit from the same buildout. Reuters recently highlighted how power and cooling suppliers are benefiting as data centers race to solve infrastructure bottlenecks.
There’s another side to this story: capital intensity and risk. AI infrastructure requires enormous amounts of electricity, hardware and financing. Recent reporting has highlighted rising debt, grid constraints and increasing scrutiny around data-center expansion.
The policy debate matters too. On September 19, President Trump announced plans for an “AI Force” and said AI could eventually represent as much as 25% of U.S. GDP. That is a projection, not a current economic statistic, but it shows how seriously AI is being treated as a strategic and economic sector.
So my view is long-term bullish on AI adoption, but selective on AI stocks.
The next phase may not simply be about who builds the smartest AI model. It could also be about who supplies the electricity, cooling, networking, security and infrastructure that allows AI to scale.
AI may be the headline. But the infrastructure behind AI could be the bigger story.
What do you think comes next — more upside for major AI stocks, or a rotation toward the companies powering the AI ecosystem?
#AIStocksWhatNext
