US Pulls List of Tech Firms Linked to China’s Military | Bloomberg Tech 2/13/2026

Bloomberg Tech - Broadcast Summary (February 16, 2024)

Key Concepts:

• AI Investment & Regulation: Increased investment in AI companies (Anthropic, Shield AI) alongside growing concerns about regulation and competition with China (DeepSeek, OpenAI).
• Market Volatility & “AI Scare Trade”: Significant market fluctuations driven by fears of AI disruption, impacting various sectors beyond software (Logistics, Software).
• China Tech & US Scrutiny: The Pentagon’s brief listing (and subsequent removal) of Chinese tech companies (Alibaba, Baidu, BYD) allegedly aiding the Chinese military, raising investor concerns.
• Earnings Reports & Market Reactions: Analysis of earnings reports from Twilio, Airbnb, Instacart, and Coinbase, and how market sentiment influences stock performance.
• Venture Capital Trends: Shift towards larger seed funding rounds and increased investment in AI infrastructure and applications.

1. Pentagon’s Chinese Military Affiliation List & OpenAI Concerns

The U.S. Department of Defense briefly published a list of 130 Chinese entities allegedly connected to the Chinese military, including Alibaba, Baidu, and BYD. The list was quickly withdrawn without explanation, causing a temporary drop in the stock prices of the listed companies. Tencent was already on a previously published list. This action highlights ongoing U.S. scrutiny of Chinese technology companies.

Simultaneously, OpenAI has raised concerns about DeepSeek, a Chinese AI company, alleging it is improperly utilizing U.S. and other frontier models to advance its own AI development, specifically the R1 breakthrough. OpenAI claims DeepSeek is circumventing countermeasures and poses a national security risk by censoring searches on sensitive topics related to the Chinese government. This underscores the central point of contention between the U.S. and China regarding AI development. OpenAI has shared these concerns with U.S. lawmakers.

2. AI Investment Surge & Valuation Growth

• Anthropic Funding: Anthropic completed a $30 billion funding round, doubling its valuation to $380 billion. This round demonstrates “double dipping” – investors backing both OpenAI and its competitors. Anthropic’s annual run rate has increased from $9 billion to $13 billion.
• Shield AI Funding: Shield AI is in talks to raise up to $1 billion, potentially doubling its valuation to $12 billion.
• Venture Capital Trends: Ben Sun (Primary) noted a significant increase in seed funding over the past decade (from $5 billion to $20 billion in the U.S.) and larger round sizes. He attributes this to the increasing quality of founding talent and the potential for massive outcomes, particularly with AI. He emphasized that AI is augmenting human labor, creating a market opportunity in the trillions of dollars.

3. “AI Scare Trade” & Market Volatility

A wave of market volatility, dubbed the “AI scare trade,” is impacting various sectors. Companies perceived as vulnerable to AI disruption are experiencing stock declines. Karaoke Turn Autonomous Business, despite a tiny $6 million valuation, saw a 20% stock increase, illustrating the extreme market reactions.

The software sector is under particular pressure. Investors are exhibiting “knee-jerk reactions” and seeking to protect against downside risk. The situation is characterized by a lack of clear catalysts for selloffs, making it difficult to identify tripwires. Investors are increasingly focused on discerning between genuine disruption and overblown fears.

4. Earnings Reports & Company Performance

• Twilio: Twilio reported solid earnings and guidance, driven by messaging and its infrastructure-based business model. The company’s usage-based pricing model provides some insulation from the “SaaS apocalypse” concerns.
• Airbnb: Airbnb’s stock rose following its earnings report, boosted by strong travel demand, particularly in international markets (Brazil, Japan, India). The company is testing new initiatives like airport pickup services and grocery delivery.
• Instacart: Instacart impressed investors with its quarterly guidance, driven by lowered minimum basket sizes for free delivery and a partnership with Uber. AI-powered recommendation engines contribute to one-third of its revenue.
• Coinbase: Coinbase’s revenue tumbled due to falling cryptocurrency prices and lower trading volumes. However, the stock experienced a significant bounce, potentially fueled by optimism regarding potential regulatory clarity in the crypto market.
• Applied Materials: Applied Materials saw a 9% stock increase following strong earnings, benefiting from increased investment in data centers and chip manufacturing.

5. Regulatory Landscape & Political Influence

AI companies are mirroring the crypto industry’s playbook by investing in congressional candidates who favor a lighter regulatory touch on AI. The AI industry PAC, “Leading the Future,” is focusing on issues popular in specific districts and working with strategists to avoid explicitly framing contributions as AI-related. This strategy aims to influence policy and promote American dominance in AI.

6. Social Media & Teen Regulation

Increased scrutiny of social media’s impact on teens is leading to regulatory challenges, such as the ban on under-16s in Australia. While the immediate business impact is currently limited (as teens are not major revenue drivers), the reputational risk and potential for long-term shifts in user behavior are significant. Mark Zuckerberg is expected to testify in a trial regarding whether platforms are intentionally addictive to teens.

Notable Quotes:

• Ben Sun (Primary): “This is markets being efficient and saying the talent and outcomes look like they have much more upside and demand those type of premiums.”
• Kurt Wagner (Bloomberg): “While I say the business might not be impacted now, if you get a whole generation of teenagers who stop using these products, that is not good.”
• Emily Birnbaum (Bloomberg): “The memory of Fair Shake, crypto’s PAC, looms large in Washington.”

Technical Terms:

• TAM (Total Addressable Market): The total market demand for a product or service.
• Run Rate: A measure of revenue or other metrics annualized from a recent period.
• Distillation (in AI): A technique used to transfer knowledge from a large, complex AI model to a smaller, more efficient model.
• Frontier Models: The most advanced and powerful AI models currently available.
• SaaS Apocalypse: A perceived decline in the valuation of Software-as-a-Service (SaaS) companies.

Conclusion:

The broadcast highlighted a dynamic landscape characterized by rapid AI development, significant investment, and growing regulatory scrutiny. Market volatility, driven by fears of AI disruption, is impacting various sectors. While AI presents immense opportunities, the need for discerning investment strategies and proactive regulatory engagement is becoming increasingly apparent. The interplay between technological innovation, market sentiment, and political influence will continue to shape the future of the tech industry.