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Raimondo Warns That AI Isolationism Threatens Economy and Security

Former US Commerce Secretary Gina Raimondo warned countries on Tuesday against an isolationist approach to artificial intelligence. Governments and companies, she said, need to work together to manage the technology's economic and security risks. Raimondo ran the Commerce Department from 2021 to January 2025, overseeing export controls on chips and the $52.7 billion CHIPS program. Her remarks come amid disputes over how countries should divide control of AI infrastructure. • Raimondo opposes AI isolationism. • She splits the risks into economic and security-related ones. • Her bet is on cooperation between governments and business.

AI-processed from Bloomberg Tech; edited by Hamidun News
Raimondo Warns That AI Isolationism Threatens Economy and Security
Source: Bloomberg Tech. Collage: Hamidun News.
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Former US Commerce Secretary Gina Raimondo warned countries on Tuesday, October 13, 2026, against an isolationist approach to artificial intelligence. In her words, governments and companies must work together to deal with the economic and security risks the technology brings. Raimondo headed the US Commerce Department from March 2021 to January 2025. During that time, the department launched the distribution of $52.7 billion under the CHIPS and Science Act and imposed the strictest restrictions ever on shipments of advanced AI chips to China.

What we know about the statement

The source, Bloomberg Tech, has so far published only a brief summary. The thesis is a single one: isolation doesn't work, and what's needed is coordination between states and between government and the private sector. The article does not disclose details of the speech, a list of specific initiatives, or who the warning was aimed at, so there is no point speculating about them. The framing is what matters. Raimondo identifies two types of risk, economic and security-related, and argues that both are solved through joint effort rather than national fences.

Why

Raimondo's words carry more weight than a typical expert comment

She is not an outside observer but one of the architects of today's global AI hardware market. In October 2022, the Commerce Department under her leadership restricted exports of accelerators and chipmaking equipment to China. It was one of the most visible examples of security-focused technology policy. At the same time, the department was building a partnership track: the AI safety institute at NIST was created in November 2023, and the US took part in international AI safety summits.

Her thesis therefore can't be read as a call for openness without conditions. It is rather the position of someone who paired restrictions with alliances and now warns that a full retreat into national silos will be costly.

Context in numbers

  • March 2021 – January 2025: Raimondo's term as US Commerce Secretary.
  • $52.7 billion: total size of the CHIPS and Science Act, signed in August 2022, of which about $39 billion went to incentives for chip manufacturing.
  • October 2022: the first major package of export restrictions on advanced chips and equipment for China.
  • November 2023: the US AI safety institute was created at NIST.
  • January 2025: the AI Diffusion rule was introduced, sorting countries into tiers of access to AI chips. In May 2025, the new administration rescinded it.

What it means for the market

For companies, the main signal is this: the regulatory environment around AI remains a dispute over where the line between protection and isolation lies. Anyone building data centers, buying accelerators, or selling AI services across several jurisdictions should plan for two scenarios at once: tighter export controls, and growing requirements for data and compute localization. Supply chains that depend on a single region remain a weak point whatever the outcome.

For governments, the question is which safety standards and model evaluation methods they can agree on with allies without waiting for a crisis. For investors, Raimondo's statement is a reminder that AI regulatory policy affects company valuations as much as model size or the number of accelerators in a cluster. It is worth watching how her thesis resonates in the positions of the current administration and US allies. For now, it is a signal, not a plan of action.

ZK
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