AI Stocks Keep Climbing — But Where Else Should Investors Be Looking?
Nvidia CEO Jensen Huang told reporters in Scotland that Nvidia expects to sell twice as many chips next year as it does this year, driven by AI investment across industries and countries. That builds on Nvidia's August guidance of ~70% revenue growth for fiscal 2028, which the company itself called a "supply-constrained outlook" — meaning real demand may exceed the official forecast.
On policy, Trump announced plans to form an "AI Force" and name a new AI czar, predicting AI could eventually account for as much as 25% of U.S. GDP and calling it the next Industrial Revolution. This came amid pressure from industry figures pushing for a global AI slowdown — so "full speed ahead" and "slow down" are colliding in real time.
Where else to look beyond mega-cap chip names?
Supply chain: memory, packaging, and power-delivery suppliers feeding chipmakers
Energy/infrastructure: utilities, grid equipment, and power plays tied to data-center buildout
Data-center REITs: exposure to the physical buildout without single-stock chip risk
Diversification: with the "Magnificent Seven" now heavily weighted in major indices, some investors are adding non-AI sectors to cut concentration risk
Bull case: chip sales, capex, and GDP contribution keep outpacing even bullish forecasts.
Bear case: valuations are stretched, the buildout is increasingly debt-financed, and a policy or demand shock could hit sentiment hard.
Genuinely a live debate, not a slam dunk. Where do you land — riding the wave or hedging? Drop your AI holdings below. #AIStocksWhatNext
Not financial advice — do your own research.
$MUBARAK
$KERNEL
$PEPE
Nvidia CEO Jensen Huang told reporters in Scotland that Nvidia expects to sell twice as many chips next year as it does this year, driven by AI investment across industries and countries. That builds on Nvidia's August guidance of ~70% revenue growth for fiscal 2028, which the company itself called a "supply-constrained outlook" — meaning real demand may exceed the official forecast.
On policy, Trump announced plans to form an "AI Force" and name a new AI czar, predicting AI could eventually account for as much as 25% of U.S. GDP and calling it the next Industrial Revolution. This came amid pressure from industry figures pushing for a global AI slowdown — so "full speed ahead" and "slow down" are colliding in real time.
Where else to look beyond mega-cap chip names?
Supply chain: memory, packaging, and power-delivery suppliers feeding chipmakers
Energy/infrastructure: utilities, grid equipment, and power plays tied to data-center buildout
Data-center REITs: exposure to the physical buildout without single-stock chip risk
Diversification: with the "Magnificent Seven" now heavily weighted in major indices, some investors are adding non-AI sectors to cut concentration risk
Bull case: chip sales, capex, and GDP contribution keep outpacing even bullish forecasts.
Bear case: valuations are stretched, the buildout is increasingly debt-financed, and a policy or demand shock could hit sentiment hard.
Genuinely a live debate, not a slam dunk. Where do you land — riding the wave or hedging? Drop your AI holdings below. #AIStocksWhatNext
Not financial advice — do your own research.
$MUBARAK
$KERNEL
$PEPE
