The CHIPS Act comes up constantly in AI conversations, so it’s worth being precise about what it funds — because for almost every business asking, the honest answer is “not this.” Here’s the 2026 reality, cited to official sources. (dgm helps adopt AI software; CHIPS is a different layer entirely — see the end.)

What CHIPS actually funds

The CHIPS and Science Act of 2022 created roughly $50 billion in funding — about $39 billion in manufacturing incentives plus around $11 billion for R&D — administered by the Commerce Department and NIST. But it funds one thing: the semiconductor industry. Specifically, it supports facilities for chip fabrication, assembly, testing, advanced packaging, and production, as well as semiconductor materials and manufacturing equipment, plus related research.

Who qualifies — and who doesn’t

Eligibility is limited to a “covered entity” — a company, nonprofit, or consortium that can finance and build or expand a semiconductor-related facility. In plain terms: chipmakers and their supply chain. An ordinary business that wants to adopt AI tools — a law firm, a manufacturer, a retailer — does not qualify. CHIPS is not an AI-adoption program, and any page suggesting you can get CHIPS money to deploy AI software is misreading it.

The real AI connection: hardware, not software

The link between CHIPS and AI is genuine but specific: it’s about hardware. AI models run on advanced semiconductors, and CHIPS aims to strengthen domestic production of those chips. So CHIPS supports the foundation that AI sits on — not the software a business uses. If you’re adopting AI, that distinction is the whole point: you’re operating at the software layer, where CHIPS doesn’t reach.

When CHIPS is relevant to you

CHIPS is highly relevant if you are a semiconductor or AI-hardware company — fabrication, materials, equipment, packaging, or chip R&D. In that case there are active funding opportunities with concept-plan and application phases (one semiconductor materials and equipment notice has been accepting concept plans in 2026), and you should verify the current notice and deadlines on the NIST CHIPS site, since priorities have shifted.

For everyone else adopting AI, the relevant levers are the federal R&D tax credit and Section 174A expensing (if you build or customize AI), SBIR/STTR/NSF grants (for genuine R&D), or an SBA loan (to finance purchases) — not CHIPS.

How dgm helps

dgm implements osFoundry and other AI software for US businesses. CHIPS is outside our scope — it’s a semiconductor program, not an AI-adoption one. If you’re a chip company, the CHIPS process is a specialized pursuit; if you’re a business adopting AI, we’ll point you to the funding that actually applies and then build the AI.