AI’s hidden supply‑chain costs could hit small businesses

Willy Shih, a Harvard economist, warns that the AI boom is exposing a hidden supply‑chain strain that could raise component costs for anyone building AI‑powered products. In a recent Decoder interview, he links soaring demand for chips and new trade routes to higher prices and longer lead times.

What happened

According to The Verge, Shih’s upcoming book Where Does My Stuff Come From? examines the “powerful economics behind global supply chains” and uses the AI surge as a case study. He notes that AI is “devouring the planet’s computing resources during an unprecedented infrastructure build‑out,” forcing manufacturers to scramble for chips and memory.

The interview highlights how recent U.S. tariffs have pushed firms to “move that supply chain” to Vietnam, Mexico, or other low‑cost locations. Shih points to “all‑time‑record imports from Ireland in the first quarter of 2025” followed by a slowdown in the first half of 2026 as companies burned off inventory after tariff‑driven rerouting.

He also observes a new “direct ocean container service from China to Mexico,” which enables firms to ship components from China, assemble them in Mexico under the USMCA, and then import finished goods into the United States. These shifts, he argues, are driven less by technology and more by “economic forces” that seek the cheapest path around trade barriers.

Why it matters for small business owners

Small companies that rely on AI‑enabled hardware—whether for SaaS products, IoT devices, or internal analytics—are now exposed to the same macro‑level dynamics that affect giant manufacturers. The surge in AI demand squeezes chip inventories, while tariff‑induced rerouting adds freight costs and longer lead times. For a startup that budgets tightly, a 10‑20% price bump on a GPU or a month‑long delay in receiving memory modules can stall product launches and erode competitive advantage.

Moreover, the emergence of new shipping lanes (China → Mexico) signals that traditional “Made‑in‑USA” sourcing narratives may be misleading; many “American‑assembled” products still depend on Chinese components. Ignoring these hidden dependencies leaves small firms vulnerable to sudden policy shifts or geopolitical tensions that can instantly disrupt supply.

In short, the AI boom is turning supply‑chain risk from a peripheral concern into a core strategic issue for any company that builds or uses AI hardware.

What to do this week

1. Audit your hardware bill of materials – list every chip, memory module, or AI accelerator you purchase and note the country of origin.
2. Identify at least one alternative supplier for any component sourced from China or a tariff‑heavy region, even if it’s a secondary tier.
3. Set up a weekly alert for U.S. tariff announcements and major shipping‑lane changes (e.g., new China‑Mexico routes) using a free news‑monitoring tool.

Sources

• The hidden supply chain costs of the AI boom — The Verge - AI