AI Stocks Are Rising. But Where Is the Next Opportunity?
I’m cautiously bullish on AI, but I think the bigger question now is not simply “Which AI stock will rise next?”
NVIDIA’s latest numbers show why the AI story is still powerful. In Q2 fiscal 2027, NVIDIA reported $96.2B in revenue, up 106% year over year, while Data Center revenue reached $89B, up 117%. The company says demand is accelerating as AI moves from experimentation toward productive workloads.
But there is another side of the story that deserves attention.
Alphabet expects to spend $175B–$185B on capital expenditures in 2026, while Amazon expects about $200B and Meta now expects $130B–$145B. That spending is not only about GPUs. It also creates demand for data centers, networking, electricity, cooling and other infrastructure.
The IEA estimates global data-center electricity consumption could roughly double from 485 TWh in 2025 to around 950 TWh by 2030, with AI-focused data centers growing even faster.
That changes how I view the opportunity. If AI keeps scaling, the next beneficiaries may not necessarily be another headline AI model company. Power infrastructure, data-center equipment, networking, cooling and energy generation could become increasingly important parts of the AI supply chain.
At the same time, valuation and execution risk cannot be ignored. AI infrastructure requires enormous capital, and the IEA notes that power and other bottlenecks could limit the speed of expansion.
There is also a policy debate. President Trump announced plans for an “AI Force” and a new AI adviser, while major AI leaders continue debating how quickly development should proceed and how safety should be handled.
So my view is simple: bullish on the AI theme, but increasingly interested in the infrastructure behind it.
The real question for investors may be:
Who sells the picks, power and infrastructure for the AI gold rush?
#AIStocksWhatNext
$MARA
$NVDAB
$AAPL.US
I’m cautiously bullish on AI, but I think the bigger question now is not simply “Which AI stock will rise next?”
NVIDIA’s latest numbers show why the AI story is still powerful. In Q2 fiscal 2027, NVIDIA reported $96.2B in revenue, up 106% year over year, while Data Center revenue reached $89B, up 117%. The company says demand is accelerating as AI moves from experimentation toward productive workloads.
But there is another side of the story that deserves attention.
Alphabet expects to spend $175B–$185B on capital expenditures in 2026, while Amazon expects about $200B and Meta now expects $130B–$145B. That spending is not only about GPUs. It also creates demand for data centers, networking, electricity, cooling and other infrastructure.
The IEA estimates global data-center electricity consumption could roughly double from 485 TWh in 2025 to around 950 TWh by 2030, with AI-focused data centers growing even faster.
That changes how I view the opportunity. If AI keeps scaling, the next beneficiaries may not necessarily be another headline AI model company. Power infrastructure, data-center equipment, networking, cooling and energy generation could become increasingly important parts of the AI supply chain.
At the same time, valuation and execution risk cannot be ignored. AI infrastructure requires enormous capital, and the IEA notes that power and other bottlenecks could limit the speed of expansion.
There is also a policy debate. President Trump announced plans for an “AI Force” and a new AI adviser, while major AI leaders continue debating how quickly development should proceed and how safety should be handled.
So my view is simple: bullish on the AI theme, but increasingly interested in the infrastructure behind it.
The real question for investors may be:
Who sells the picks, power and infrastructure for the AI gold rush?
#AIStocksWhatNext
$MARA
$NVDAB
$AAPL.US
