US invests $500M in SandboxAQ to free chip production from Chinese supply

The US has granted $500M to AI startup SandboxAQ and become its direct shareholder, an unprecedented step in government technology funding. The bet: artificial intelligence will help create an alternative to Chinese materials, without which chip production is impossible today.

What happened

The US Department of Commerce has signed an agreement with SandboxAQ under the CHIPS Act: the startup receives $500M to develop new chemicals and metals for domestic semiconductor production. In return, the government received an equity stake in the company, a step unusual even by the standards of the active industrial policy of the CHIPS Act era. Reuters was the first to report the deal.

SandboxAQ grew out of an internal unit of Alphabet (Google). The company specializes in quantum technologies and the application of AI to physics and chemistry. Its key products are platforms for simulating molecules and predicting material properties: without physical synthesis, using only computational models.

Why materials matter more than they seem

When people talk about dependence on China in the semiconductor industry, they usually think of rare earth metals and manufacturing equipment. But the real vulnerability runs deeper and is less visible: chip production requires dozens of specialized chemicals and ultra-high-purity metals. A significant share of these components is produced or processed in China, and there is no quick replacement for them.

• Chemical gases for plasma etching of silicon wafers
• High-purity metals for PVD deposition: tungsten, molybdenum, cobalt, ruthenium
• Precursors for chemical vapor deposition (CVD)
• CMP slurries: chemicals for polishing surfaces between layers
• Photoresist components for EUV lithography

Each of these items is a separate supply chain with its own vulnerabilities. Quickly shifting them to domestic production is impossible: building capacity takes years, and accumulating technological know-how takes decades.

How AI shortens the discovery cycle

This is where SandboxAQ comes in. The company proposes using quantum simulations and machine learning models to predict the properties of new materials before they are physically synthesized. The classic path from idea to industrial use of a new chemical compound takes 20–30 years. The computational approach promises to cut it to 3–7 years.

The logic resembles what happened in biopharma: DeepMind's AlphaFold radically changed the speed of protein structure prediction. Now people are trying to carry over a similar methodology to industrial materials, with direct implications for national security.

"The speed of materials discovery is becoming a new field of competition between states," is the very argument

SandboxAQ used in its dialogue with the US government.

What this means

The SandboxAQ deal is a double precedent. First, the US has for the first time become a shareholder in a technology startup through an industrial subsidy mechanism. Second, the government is betting on AI not as a product but as a tool for solving the supply chain problem.

If the startup delivers on its promise, it will change both the economics and the geopolitics of the semiconductor industry. But the first results are still several years away.