#aistockswhatnext
#AIStocksWhatNext AIStocksWhatNext Fact Pack: Verified AI-Stock, Policy and Crypto Data (as of Sept 23, 2026)
The campaign's framing is mostly right, but three of its headline claims need correcting before you post. Nvidia's official guidance is about 70% revenue growth for fiscal 2028, not a doubling. The "doubling" was Jensen Huang's off-the-cuff comment about chip volumes on Sept 17. AI stocks are not "up across the board": the rally is narrow and led by chips, and it came right after a sharp selloff. And Trump's "25% of GDP" figure is an unsourced line from a Truth Social post, not a forecast or study.
TL;DR
• #NVIDIA : On the Aug 26, 2026 earnings call, CFO Colette Kress guided fiscal 2028 revenue growth of "approximately 70%" and called it "a supply-constrained outlook." She said "customers forecasts point to our growth doubling next year." On Sept 17 in Scotland, Huang said "I expect Nvidia to sell twice as many chips… next year as we do this year." He didn't say whether he meant units or revenue. The widely quoted "$673 billion" figure is CNBC's own calculation, not an Nvidia number.
• Stocks and policy: AI stocks fell on Sept 14 after Anthropic's Dario Amodei published an essay on Sept 12 calling for a slowdown, which Sam Altman, Elon Musk and Demis Hassabis backed. They fell again with the market after the Fed's Sept 16 rate hike. The Nasdaq then closed at records on Sept 21 and 22, led by chips; the Philadelphia Semiconductor Index jumped 4.3% on Sept 21 alone. Trump's Sept 19 "AI Force" has no stated structure, budget or legal basis yet.
• Crypto and alternatives: #BTC coin reached its highest level since January (about $85,000–$87,000) on Sept 21–22, at the same time as the Nasdaq record. Falling oil prices and short liquidations drove both, not AI news. AI tokens like TAO and RENDER rose sharply without a specific catalyst. The bubble debate is live: Capital Economics calls AI a "late-stage bubble," while in BofA's September survey fund managers ranked rising bond yields as a bigger tail risk than an AI bubble.
#AIStocksWhatNext AIStocksWhatNext Fact Pack: Verified AI-Stock, Policy and Crypto Data (as of Sept 23, 2026)
The campaign's framing is mostly right, but three of its headline claims need correcting before you post. Nvidia's official guidance is about 70% revenue growth for fiscal 2028, not a doubling. The "doubling" was Jensen Huang's off-the-cuff comment about chip volumes on Sept 17. AI stocks are not "up across the board": the rally is narrow and led by chips, and it came right after a sharp selloff. And Trump's "25% of GDP" figure is an unsourced line from a Truth Social post, not a forecast or study.
TL;DR
• #NVIDIA : On the Aug 26, 2026 earnings call, CFO Colette Kress guided fiscal 2028 revenue growth of "approximately 70%" and called it "a supply-constrained outlook." She said "customers forecasts point to our growth doubling next year." On Sept 17 in Scotland, Huang said "I expect Nvidia to sell twice as many chips… next year as we do this year." He didn't say whether he meant units or revenue. The widely quoted "$673 billion" figure is CNBC's own calculation, not an Nvidia number.
• Stocks and policy: AI stocks fell on Sept 14 after Anthropic's Dario Amodei published an essay on Sept 12 calling for a slowdown, which Sam Altman, Elon Musk and Demis Hassabis backed. They fell again with the market after the Fed's Sept 16 rate hike. The Nasdaq then closed at records on Sept 21 and 22, led by chips; the Philadelphia Semiconductor Index jumped 4.3% on Sept 21 alone. Trump's Sept 19 "AI Force" has no stated structure, budget or legal basis yet.
• Crypto and alternatives: #BTC coin reached its highest level since January (about $85,000–$87,000) on Sept 21–22, at the same time as the Nasdaq record. Falling oil prices and short liquidations drove both, not AI news. AI tokens like TAO and RENDER rose sharply without a specific catalyst. The bubble debate is live: Capital Economics calls AI a "late-stage bubble," while in BofA's September survey fund managers ranked rising bond yields as a bigger tail risk than an AI bubble.
