Amazon has entered the escalating debate over the pace of artificial intelligence development, calling for AI models to be released only after rigorous testing and with strong safeguards in place. The retail and cloud computing giant said it does not view safety and progress as opposing forces, and that models should be made available only when they are "ready and safe to use."

The intervention comes as the discussion over AI safety intensifies, after top AI labs called for a slowdown in development following recent safety lapses. Amazon's comments add a major corporate voice to a debate that has so far been led by the laboratories building frontier AI systems.

Amazon said artificial intelligence models should be released only after rigorous testing, weighing in on the debate about the pace of AI development after top labs called for a slowdown following safety lapses — Bloomberg (@business) September 18, 2026

The remarks came via Amazon spokesperson Tom Parnell, who was responding to an inquiry from Reuters.

"We don't see it as a choice between progress and safety," Parnell said. "There are risks if that doesn't happen collectively."

Amazon stopped short of endorsing a broad, industry-wide slowdown of AI development. Instead, the company pushed for a more measured approach — one that puts public safety first while the industry continues to develop the technology at pace. Amazon also said the should work alongside governments to build the right protections and guardrails. How such public-private guardrails would be defined in practice — and whether the "collective" approach Parnell described takes hold across the industry — remains an open question.

AMZN stock was up 2.13% at the time of the report.

Amazon's AI Spending and Infrastructure

Amazon is one of the biggest players in AI infrastructure. Its cloud computing unit, AWS, sells computing power and infrastructure management tools to customers across the industry, and the company is actively building out new data centers to meet growing demand for AI capacity.

The company has committed to $220 billion in capital expenditures this year, with the bulk of that spending directed toward AI. That scale of spending is part of what gives Amazon's stance its weight in the safety debate: the call for rigorous pre-release testing comes from a company whose infrastructure serves AI customers across the industry, not just its own model development.

Beyond infrastructure, Amazon develops its own large language models, primarily through AWS, and powers its Alexa voice assistant with AI technology. Its models are not currently seen as direct rivals to the most powerful tools from OpenAI, Anthropic, or leading Chinese AI companies.

A Partner and Investor in the AI Ecosystem

Amazon occupies a dual role in the AI ecosystem: it is both a partner and an investor in some of the top AI labs, including OpenAI and Anthropic. Anthropic executives have been among those calling for a slower, more careful pace of frontier AI development.

That places Amazon in a distinctive position — invested in companies urging caution, while simultaneously running its own aggressive AI buildout. The company's position appears to be that speed and safety are not mutually exclusive, provided rigorous testing and safeguards are in place before any launch.

"AI is already delivering real value to customers, so getting this right matters," Parnell added.

Wall Street's View

On the analyst front, AMZN holds a consensus Strong Buy rating, based on 39 Buy and one Hold recommendation issued over the past three months by a pool of 40 Wall Street analysts. The average price target sits at $334.70, implying roughly 33% upside from current levels.

Source: CoinCentral