AMD briefly joined the $1 trillion club. Cramer says its monster run isn’t over
- ID
- 29550
- Status
- summarized
- Published
- 29 Sep 2026, 6:27 AM
- Fetched
- 29 Sep 2026, 7:08 AM
- Provider
- CNBC Technology
- Category
- technology
- Original URL
- https://www.cnbc.com/2026/09/28/jim-cramer-amd-lisa-su-agentic-ai.html
- Source URL
- https://www.cnbc.com/id/19854910/device/rss/rss.html
Summary
- Score
- 3.0
- Created
- 29 Sep 2026, 7:08 AM
- Tags
- Audience
- developersai_ml_learnerssaas_founders
What happened
CNBC's Jim Cramer said AMD's run is not over after the chipmaker briefly crossed $1 trillion in market value, having rallied nearly 13% in a week and about 30% in September 2026 alone. He credits the next leg to agentic AI driving CPU demand, pointing to Meta's launch of Muse, its personal AI agent platform, as a partial catalyst. The piece contains no product launches, pricing, benchmarks, or roadmap dates from AMD — it is market commentary plus a prediction.
Why it matters
This is a stock-and-narrative item, not an engineering one. The only concrete claim a builder can act on is Cramer's assertion that demand shifted this year from AI model training toward inference and agentics, making CPUs the bottleneck — and that claim comes with zero measurements, no token/CPU ratios, no cost per agent run, and no AMD product detail. So don't re-plan your inference hardware or cloud spend on it; treat it as a signal that CPU capacity for agent workloads is being talked up by investors, and wait for actual pricing or performance numbers before changing anything.
Discussion angle
Cramer claims agentic AI shifts the bottleneck to CPUs — is that true in your own stack, or is the bottleneck still GPU memory and API cost? Bring one real number from a workload you run and compare it against this prediction.