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Why Are Palantir and OpenAI Scared of Alex Bores?

Why Are Palantir and OpenAI Scared of Alex Bores?

9 minutes ago • 1 hr 32 min

The Ezra Klein ShowPodcast

Investors should monitor Palantir (PLTR) closely as its heavy reliance on government contracts makes it highly sensitive to political cycles and emerging state-level regulations like New York’s RAISE Act. To hedge against infrastructure bottlenecks, consider increasing exposure to utility and green energy stocks that are positioned to profit from private-sector funding of power grid upgrades for new data centers. Alphabet (GOOGL) remains a long-term play in autonomous transit via Waymo, but investors should expect slower ROI as cities introduce restrictive medallion requirements and labor protections. For those looking at the broader AI sector, prioritize companies that proactively adopt third-party safety audits, as these firms will navigate the inevitable shift toward binding federal and state oversight more efficiently. Be cautious of long-term fiscal risks to high-margin AI firms like OpenAI, as future "token taxes" or "windfall taxes" are increasingly proposed to offset potential white-collar labor displacement.

The Hidden Engine of China’s AI Boom | China Decode

The Hidden Engine of China’s AI Boom | China Decode

1 hour ago • 45 min 24 sec

The Prof G Pod – Scott GallowayYouTube

NVIDIA (NVDA) remains the primary beneficiary of the global shift toward Agentic AI, as these complex systems consume ten times more tokens and require high-end Blackwell chips to function. Investors should consider a tactical rotation into undervalued Chinese tech leaders like Tencent (TCEHY), Alibaba (BABA), and PDD Holdings (PDD), as the current 12:1 valuation gap with U.S. peers is expected to narrow over the next year. While Chinese AI models from DeepSeek and Minimax offer a significant cost advantage, investors must weigh this against a high probability of U.S. regulatory bans within the next 24 months. For those seeking stability in the Chinese market, major financial institutions like ICBC and China Construction Bank are showing growth as the Yuan (CNY) gains traction in global trade. Be cautious of "stroke-of-the-pen" risks in the green energy and EV sectors, where China’s 90% dominance in Rare Earths could lead to volatile export controls.

Accumulate Solana (SOL) as it transitions into a premier hub for institutional-grade credit and high-yield Real World Assets (RWA).

Investors should target Kamino Finance to access new fixed-rate lending products, which offer predictable "term premium" yields for those willing to lock capital for set durations.

Consider diversifying into Figure’s tokenized HELOCs and auto loans to earn 11–12% yields that are uncorrelated with volatile crypto price movements.

Utilize Figure’s Prime product for its hourly liquidity auctions, solving the traditional "lock-up" problem associated with private credit investments.

For conservative investors, provide liquidity to "senior tranches" on these platforms to capture steady exogenous yield while using "loopers" as a risk buffer against market downturns.

Alex Karnal - The Trillion-Dollar Health Revolution - [Invest Like the Best, EP.467]

Alex Karnal - The Trillion-Dollar Health Revolution - [Invest Like the Best, EP.467]

1 hour ago • 1 hr 32 min

Invest Like the Best with Patrick O'ShaughnessyPodcast

The dominant market leaders Eli Lilly (LLY) and Novo Nordisk (NVO) remain high-conviction plays as they transition to oral formulations and direct-to-consumer delivery models by 2026. Investors should look beyond weight loss to the "health stack" theme, where GLP-1 drugs become foundational preventative treatments for heart and kidney disease. PCSK9 inhibitors represent an underappreciated opportunity to target cardiovascular disease with fewer side effects and infrequent twice-yearly dosing. In the diagnostics space, Exact Sciences (EXAS) and Guardant Health (GH) are the primary picks for the shift toward non-invasive, blood-based cancer screenings. Finally, prioritize biotech firms that utilize AI and robotic labs to shorten drug discovery windows from years to months, significantly reducing R&D overhead.

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