I’m trying to figure out whether AI infra is still one of the best long-term themes in 2026, or if the market is starting to price in slowing growth / margin compression.
Names like ARM, Fabrinet, and Teradyne all have real AI exposure:
ARM → AI CPUs / power-efficient compute
Fabrinet → optical networking / photonics
Teradyne → AI chip testing
But despite strong earnings and AI demand, these stocks have been selling off hard lately.
My current take:
AI demand itself still seems very real
Inference + agentic AI probably increases infrastructure demand long term
But the market may now care more about durable margins and bottlenecks instead of “anything AI”
It feels like we’re moving from:
“AI buildout euphoria”
to
“Which companies actually keep pricing power?”
I’m wondering:
Are these pullbacks opportunities?
Or are these names becoming cyclical semiconductor/hardware plays again?
Which AI infra layers do you think still have the best long-term economics?
Is software/observability becoming a better AI bet than hardware now?
Curious what people here think, especially anyone following hyperscaler capex, networking, or inference trends closely.
u/Neat-Ad-2650
I’m trying to figure out whether AI infra is still one of the best long-term themes in 2026, or if the market is starting to price in slowing growth / margin compression.
Names like ARM, Fabrinet, and Teradyne all have real AI exposure:
ARM → AI CPUs / power-efficient compute
Fabrinet → optical networking / photonics
Teradyne → AI chip testing
But despite strong earnings and AI demand, these stocks have been selling off hard lately.
My current take:
AI demand itself still seems very real
Inference + agentic AI probably increases infrastructure demand long term
But the market may now care more about durable margins and bottlenecks instead of “anything AI”
It feels like we’re moving from:
“AI buildout euphoria”
to
“Which companies actually keep pricing power?”
I’m wondering:
Are these pullbacks opportunities?
Or are these names becoming cyclical semiconductor/hardware plays again?
Which AI infra layers do you think still have the best long-term economics?
Is software/observability becoming a better AI bet than hardware now?
Curious what people here think, especially anyone following hyperscaler capex, networking, or inference trends closely.