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A quote that comes to mind is: “Sometimes our deepest hate is for the things we cannot change about ourselves.” Whether or not you agree with it, the current debate over U.S. industrial policy raises an interesting question about how Socialist the US is.

For decades, American leaders have championed free markets, private enterprise, and capitalism while criticizing Socialism, state ownership and centralized economic planning. Yet today, the U.S. government is taking equity stakes in more private companies and using public investment to shape strategic industries such as semiconductors, defense, energy, and critical technologies. We discuss this today.

We also explore the bigger question: Can the United States keep pace with China in the race for AI, semiconductors, advanced manufacturing, and other critical technologies? As global competition accelerates, understanding these policies has never been more important. Let’s dive in, and stay curious.

• 📰 AI News and Trends

• U.S. Government Equity Stakes in Private Enterprise and its Socialists Efforts.

• 🧰 AI Tools - API-first platforms for Video AI Agents

• China’s AI Is No Longer Playing Catch-Up

• 📚 Learning Corner - Peptide Design, Principles & Methods.

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U.S. Government Equity Stakes in Private Enterprise and its Socialists Efforts.

A significant shift in American industrial policy is underway as the U.S. government, under the Trump administration, increasingly acquires equity stakes in private companies. What began as a strategic maneuver to secure critical supply chains has expanded into a multi-billion-dollar portfolio spanning semiconductors, quantum computing, critical minerals, nuclear energy, and artificial intelligence.

The Expanding Federal Portfolio

Since January 2025, the U.S. government has invested billions of dollars across numerous deals involving direct ownership or quasi-equity stakes. This marks a departure from traditional tools like grants, loans, and tax incentives, pivoting toward a venture-capital-style approach to industrial policy.

The OpenAI Proposal and AI Sovereign Wealth Fund

The most recent and high-profile development involves OpenAI who has reportedly proposed handing the U.S. government a 5% stake in the company, worth approximately $42.6 billion based on its recent $852 billion valuation. OpenAI CEO Sam Altman argued this is the best way to “share the upside of AI with the public”.

This proposal aligns with broader discussions about creating a “public wealth fund” or an AI sovereign wealth fund. The current administration has been exploring options to give the public a stake in leading AI companies. Surprisingly, this concept has found bipartisan support, with Senator Bernie Sanders introducing legislation to create a $7 trillion AI sovereign wealth fund by taking 50% stakes in major AI companies.

Key Corporate Investments

The government’s equity acquisition spree extends well beyond AI, focusing heavily on sectors deemed critical to national security and technological dominance.

Motivations and Beneficiaries

The Administration’s Rationale

The Trump administration justifies these unprecedented investments through the lens of national security and “taxpayer upside.” Commerce Secretary Howard Lutnick and other officials argue that if the government is going to subsidize industries to compete with China and secure domestic supply chains, taxpayers should share in the profits rather than just footing the bill. The strategy is framed as necessary to combat Chinese state-backed monopolies in critical minerals and advanced technologies.

Who Truly Benefits?

While the stated goal is public enrichment, the reality of who benefits is more complex and raises significant concerns about conflicts of interest and crony capitalism.

1. The Companies - Firms receiving government investment benefit from an immediate influx of capital and a massive boost in market confidence. When the government announces an equity stake, it signals that the company is “too strategic to fail,” often leading to a surge in stock prices. For example, quantum computing firms saw their stocks jump 25-33% following the announcement of government equity deals.

2. The Trump Family and Allies - There are mounting concerns about the Trump family profiting from these policy shifts. The Trump Organization has expanded heavily into cryptocurrency, launching World Liberty Financial and selling tokens that brought in hundreds of millions, only to benefit the family. Furthermore, President Trump’s personal financial disclosures showed he traded stock (inside trading) in companies like Intel and Nvidia around the time his administration was making major policy decisions affecting those firms.

3. The “Pay-to-Play” Environment - The shift to “government-by-deal” creates an environment where companies may feel compelled to offer equity or favorable terms to secure government support or avoid regulatory hurdles. Critics argue this replaces a neutral policy framework with personalized bargains, where success depends on winning favor from the administration.

The Ideological Contradiction: Republican Socialism?

Perhaps the most striking aspect of this policy shift is the profound ideological contradiction it represents. The Republican Party has long positioned itself as the champion of free-market capitalism and the fiercest critic of socialism.

Despite this, the GOP has largely remained silent or actively praised Trump’s dealmaking. This complacency highlights a significant shift within the party. The abandonment of conservative free-market principles in favor of economic nationalism and loyalty to Trump’s transactional approach. The fact that Trump’s policies on AI wealth funds and corporate equity stakes overlap significantly with proposals from Democratic Socialist Senator Bernie Sanders underscores the bizarre political realignment occurring around industrial policy.

The is definitely a new era for the U.S. government as it aggressively moves into corporate ownership known as the “portfolio state.” While driven by legitimate concerns over national security and supply chain resilience, the strategy carries immense risks. It distorts capital markets, invites severe conflicts of interest, and blurs the line between public policy and private profit. Furthermore, it exposes a deep hypocrisy within the Republican Party, which has embraced state ownership of private enterprise while continuing to wield “socialism” as a political attack against its opponents.

🧰 AI Tools of The Day

API-first platforms for Video AI Agents

• Runway AI - Video generation & editing

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• Shotstack - Server-side video rendering

• Synthesia - Talking avatars

• HeyGenAI - Presenters & Translation

China’s AI Is No Longer Playing Catch-Up

Beijing-based startup Z.ai just released GLM-5.2, a model that is “right up there with GPT-5.5 and just a tick below Anthropic’s Opus 4.8” at one-sixth the cost. It already ranks above some Anthropic’s models, and it arrived at the worst possible moment for the U.S. when Anthropic’s top models were temporarily export-banned by Washington, and OpenAI’s GPT-5.6 rollout was delayed, creating a vacuum that a cheaper, capable Chinese model rushed to fill.

The main barrier keeping it out of large U.S. enterprises is data security concerns, not performance, and that wall is eroding fast. Startups are already switching, and a RAND study found Chinese LLMs’ global market share jumped from 3% to 13% in just two months after DeepSeek launched in early 2025. I have been fascinated by Breakneck, the book by Dan Wang that highlights how China is becoming the world leader on many different fronts and industries due to its engineering prowess and America lawyerlee society, and their focus on process knowledge. Reading this book led to think that it may take a generation or more to be able to compete with China as they have turned their entire population into an engineering culture, taht thrives on work, knowledge, and takes on tasks that I dont see Americans or other cultures taking. An example is the extraction or rare metals, which may not be that rate, vbut tha rarity is in the findiong the people willing and able to extract it and this is what Chine is undertaking as well and the undertalking of many other dirty or so called challenging industries where margin are thin, but with lots of potential.

For years, Chinese AI models were derivative and clearly behind , the performance gap was as wide as “31 percentage points” as recently as May 2023. Then came “January 2025’s DeepSeek shock”: a Chinese model that briefly matched the top U.S. model at a fraction of the training cost, wiped hundreds of billions from Nvidia’s market cap in a day, and proved that algorithmic efficiency could substitute for the advanced chips U.S. export controls had denied China.

The floodgates opened after that Alibaba’s Qwen, MiniMax, StepFun, and now GLM-5.2 followed in rapid succession. By April 2026, Stanford’s AI Index confirmed the gap had “collapsed to just 2.7%”, while the U.S. was spending “23 times more” to hold it. Looking ahead, the outlook is unsettling, AI talent migration to the U.S. has dropped 89% since 2017, China dominates global AI patents and research output, and Chinese open-source models are becoming the default stack across the developing world. The next 18 months will determine whether the U.S. can pull ahead, or whether the gap disappears entirely.

📚 Learning Corner

Peptide Design: Principles & Methods

Peptides are everywhere right now. From professional athletes and weekend warriors chasing faster recovery to the rise of GLP-1 medications and the “lookmaxxing” trend, interest in peptides has exploded. But what are they, how do they work, what are the potential benefits and risks, and are they actually worth using? Here’s a practical guide to help you understand the science and decide whether they’re right for you.