IGV · iShares Expanded Tech-Software

Podcast episode description only (no specific tickers mentioned): Steve Eisman and Baird software analyst Rob Oliver discuss why software stocks have been heavily sold off over the past year and the risk of “catching a falling knife” in the sector. Likely themes include multiple compression, rate sensitivity/duration, growth deceleration, and how/when to re-enter the group.

Commentary-style weekly wrap describing sharp risk-off moves: silver down ~26% and bitcoin down ~24% attributed to panic selling/forced liquidations; “software stocks” described as getting “obliterated.” Also frames AI/LLM competition as a CapEx arms race, implying mega-cap platforms (esp. Google) can outspend venture-backed challengers; suggests OpenAI would be vulnerable if VC funding tightens. The excerpt references “two stock recommendations,” but the specific tickers are not provided here.

Steve Eisman argues the current selloff is being amplified by “AI panic,” with investors quick to dump software and broader risk assets on little provocation. He highlights Molina’s weak results as a symptom of deeper, structural issues in the health insurance/managed-care business (collapsed P/E multiples reflect deteriorating fundamentals, not just sentiment) and expects fixes to take longer than the market hopes. Consumer data is bifurcated: lower-end consumer is weakening while higher-end sp

Promotional video/transcript snippet from Qualtrim. The substantive content is that Microsoft fell ~12% in a day and the broader software cohort (examples: Adobe, Salesforce, Intuit) is being aggressively sold off; the speaker frames it as an unusual, regime-change type move for large-cap software. Other names mentioned in the chapter list include Meta and ASML, but the provided excerpt does not include the catalyst or detailed reasoning.

Video/podcast-style commentary citing Michael Burry’s view that markets are in another bubble, with discussion focused on AI (e.g., Claude) pressuring SaaS/software sentiment and concerns about Big Tech valuation. No concrete catalyst, earnings, guidance, or new data is provided—primarily narrative/valuation risk framing.