Bullish and bearish opinions expressed in this episode, paired with supporting transcript quotes. The quote confirms what was said—not whether the opinion is correct.
Bullish
$NVDA— Low multiple semiconductor names like NVDA and Micron are not extrapolating peak earnings as much as high-multiple AI services companies, making them relatively attractive despite trading on the same underlying factors.
$MU— Micron is trading at lower multiples than high-flying AI services companies despite being driven by the same factors (hyperscaler CapEx and lab ARR), making it relatively attractive.
$MDB— MongoDB benefits from AI-driven proliferation of software applications, as every new app requires a database, creating an explosion in database software demand.
$INFRA— Infrastructure software companies with usage-based models can see quick spikes from increased AI-driven compute demand, with higher probability of beating near-term numbers than application software.
$DATACENTER— Data center starts are likely to continue despite political headwinds, with stocks pricing in deceleration that Jeff views as overstated and short-term.
$AILABS— AI adoption continues on strong S-curve trajectory with explosive growth in ARR metrics from labs like Anthropic and OpenAI, supporting continued AI trade momentum.
$BTC— Bitcoin is ripping, benefiting crypto miners who converted to data centers and now get exposure to both Bitcoin upside and data center economics.
$AMZN— Amazon and other hyperscalers can still deliver 15-20% annual returns despite the golden period of 10x returns being over, with stocks reasonably cheap at current levels.
Bearish
$CRWD— Cybersecurity companies like CrowdStrike are trading at lofty 25-30x revenue multiples with low success rates at those valuations, and are not immune to AI disruption threats despite near-term momentum.
$RETAIL— Heavy retail involvement in AI trades typically signals the clock is ticking for the end of that trade, as seen historically with gold, silver, crypto, and software in 2020-2021.
$CRM— Application software companies like Salesforce have recalibrated from double-digit growth to low double/high single digit growth with left-tail AI disruption risk, making them hard to trade on revenue multiples.
$WDAY— Workday and similar application software companies are low to moderate growers with left-tail AI disruption risk, having come down from premium valuations.
$META— Meta's inability to define clear use cases for massive compute buildout raises concerns, with Zuckerberg's tendency to chase tech trends (NFTs, metaverse, crypto) creating binary shareholder risk.