The AI “Air Pocket” is here. It’s a simple story The money that went to buy backs is going to capex now. The revenue growth is years away. Investors don’t want to finance that gap forever. We trade lower. https://t.co/BG38FGpbvi
Original source ↗  |  February 03, 2026 at 20:16 UTC  |  Twitter - @abcampbell

IDEA [8] TICKER: Silver (XAGUSD or related ETFs like SLV) DIRECTION: long THESIS: The speaker suggests that Trump's policies involve buying silver and other commodities with printed dollars, implying inflationary pressures that would benefit precious metals. SPEAKER: @lukegromen TIMEFRAME: medium-term

IDEA [11] TICKER: Crypto (e.g., BTC, ETH, or a broad crypto index) DIRECTION: long THESIS: The speaker believes that improving ISM data is a necessary condition for strong crypto prices, and anticipates rising liquidity which will create reflexivity, leading to higher crypto prices. SPEAKER: @raoulgmi TIMEFRAME: medium-term

IDEA [35] TICKER: MTCH (Match Group), BMBL (Bumble) DIRECTION: short THESIS: The speaker is initiating a short position on Match Group and Bumble, believing their products are broken and features like "paid roses" are a scam, indicating fundamental issues with their business models. SPEAKER: @abcampbell TIMEFRAME: medium-term

IDEA [40] TICKER: Software sector (e.g., IGV, XSW, or individual software stocks) DIRECTION: short THESIS: The speaker believes the software sector is "dead" and discloses an active short position, implying a bearish outlook on software companies. SPEAKER: @abcampbell TIMEFRAME: medium-term

IDEA [41] TICKER: AI sector (e.g., AIQ, BOTZ, or individual AI-exposed stocks) DIRECTION: short THESIS: The speaker predicts an "AI Air Pocket" where capital shifts from buybacks to capex, and revenue growth is years away, leading to lower valuations for AI-related investments as investors are unwilling to finance the gap indefinitely. SPEAKER: @abcampbell TIMEFRAME: medium-term

TOTAL: 5 ideas found

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Trade Ideas
Ticker Direction Speaker Thesis Time
SHORT @abcampbell The speaker predicts an "AI Air Pocket" where capital shifts from buybacks to capex, and revenue growth is years away, leading to lower valuations for AI-related investments as investors are unwilling to finance the gap indefinitely.