Trump Advances Plans for TikTok US Deal | Bloomberg Tech 9/26/2025

Key Concepts

• TikTok U.S. Operations Deal: Potential acquisition by U.S. investors, involving Oracle, ByteDance, and potential anchor investors.
• AI Infrastructure Spending: Massive investments in data centers and computing power, raising concerns about a potential bubble and counterparty risk.
• AI Compute as a Commodity: The idea of trading AI compute power on markets to mitigate risk and facilitate investment.
• AI Valuations: Scrutiny of valuations in the AI sector, balancing hype with real cash flows and infrastructure.
• AI and Energy Consumption: The challenge of meeting the growing energy demands of AI infrastructure.
• AI Competition: Competition between U.S. and Chinese companies in the autonomous driving sector (Waymo vs. Baidu Apollo).
• AI and Apple: Apple's perceived lag in AI development and its potential impact on iPhone dominance.
• Social Media Influencers and ETFs: The trend of prominent analysts launching their own ETFs and leveraging their social media presence.

TikTok U.S. Operations Deal

• Structure of the Deal: Even if a deal is completed, China and ByteDance may retain more than half of the profits from TikTok U.S.
• Oracle's Role: Oracle is expected to play a role in re-training the algorithm using U.S. user data.
• Concerns about National Security: Some lawmakers and experts believe the proposed deal may not adequately address national security concerns, potentially resembling the previously rejected "Project Texas."
• Advertising Impact: Advertisers are adopting a wait-and-see approach, with contingency plans in place. Major advertisers may shift dollars to platforms like Meta and Alphabet if user engagement or ad performance declines on TikTok U.S.
• Algorithm Re-training: Concerns exist that re-training the algorithm could diminish its effectiveness and impact user engagement.
• ByteDance's Continued Involvement: Reports suggest ByteDance may retain control over revenue-generating business operations like e-commerce and advertising, raising further national security questions.
• Anchor Investors: MGX, a state-backed investment firm in the UAE, is potentially an anchor investor with a board seat.
• Algorithm Control: Questions arise about who will control the algorithm and whether users will have transparency or control over their own algorithm settings.

AI Infrastructure and Potential Bubble

• David Einhorn's Warning: David Einhorn cautions that massive spending on AI infrastructure may destroy vast amounts of capital.
• Counterparty Risk: Concerns exist that companies contracting for AI compute power (e.g., OpenAI) may not have the funds to fulfill their obligations.
• AI Compute as a Commodity: The idea of trading AI compute power on markets is proposed as a solution to mitigate counterparty risk and facilitate investment. This involves creating standards for uptime, time of day usage, and other factors, potentially powered by AI.
• Valuation Sanity Checks: Stephanie at JP Morgan emphasizes the need to perform "sanity checks" on AI valuations, ensuring they are supported by real cash flows.
• Debt Financing: The AI infrastructure boom is being partially funded by debt, with bond investors betting on future revenue generation.
• Circular Capital Flows: Concerns are raised about capital sloshing from one balance sheet to another, with companies buying GPUs from each other. However, it's argued that the spending is grounded in real infrastructure (chips, data centers).

AI and Energy Consumption

• Growing Power Demands: Data center power commitments have been made this year that are enough to power New York, Chicago, and L.A. for a year.
• Infrastructure Grid Challenges: The existing infrastructure grid may not be able to meet the growing power demands of AI, requiring upgrades and new energy sources.
• Efficiency Gains: There is hope that efficiency gains in AI algorithms and hardware can help mitigate the energy consumption problem.

AI Competition and Apple's Lag

• Autonomous Driving: Baidu Apollo is competing with Waymo in the autonomous driving sector, with both companies deploying over 1,000 cars in multiple cities.
• Apple's AI Shortcomings: Apple is perceived to be lagging behind in AI development, potentially threatening the iPhone's dominance.
• Siri's Delays: Delays in releasing AI-powered features for Siri have exposed deeper issues within Apple's AI strategy.
• Missed Opportunities: Apple is seen as having missed the boat on AI due to indecision and a lack of concern about its potential.
• Risk of Disruption: Apple faces the risk of being disrupted by a new company with a better AI-powered product.

Social Media Influencers and ETFs

• New Trend: The trend of prominent analysts (e.g., Tom Lee, Dan Ives) launching their own ETFs and leveraging their social media presence to attract investors.
• Performance and Flows: These ETFs have achieved a rare combination of outperformance and strong inflows.
• Potential Conflicts of Interest: Concerns are raised about potential conflicts of interest, as analysts may be incentivized to promote stocks held in their ETFs.
• Personal Brands: These analysts have built strong personal brands and loyal followings, which they are leveraging to promote their ETFs.

Other Notable Points

• Trump Administration's Chip Policy: The Trump administration is considering a policy requiring U.S. chipmakers to manufacture an equivalent number of chips in the U.S. as they import from overseas.
• Xiaomi 17: Xiaomi is releasing a smartphone designed to compete with the iPhone 17, starting at $6230 for the basic model.
• Klarma's IPO: Klarma's share price has fallen below its IPO price of $40, indicating a broader sell-off in fintech.
• Oracle's Stock Drop: Oracle's stock has experienced its biggest weekly drop since April, potentially due to "sell the news" sentiment following details about its involvement in the TikTok U.S. deal.
• Qualcomm's Perspective on Nvidia-Intel Deal: Qualcomm sees the Nvidia-Intel deal as an opportunity, as it suggests Intel may be exiting the integrated GPU market, paving the way for Qualcomm to bring AI to the PC market.
• OpenAI's Revenue Projections: OpenAI is projected to close the year at $20 billion in revenue and is expected to grow at 70% for the next four years.

Conclusion

The broadcast covers a range of tech-related topics, from the complexities of the TikTok U.S. deal and the potential for an AI infrastructure bubble to the competitive landscape in autonomous driving and the evolving role of social media influencers in finance. The key takeaway is that the tech industry is undergoing rapid change, with significant opportunities and risks for investors and companies alike. The discussion highlights the importance of careful analysis, due diligence, and a long-term perspective in navigating this dynamic environment.