The impact of the rise of AI on the environment is a very real concern, and it’s not one that’s going away in a hurry. Especially not when Google’s planned new datacenter in the UK looks set to emit the same quantity of Carbon Dioxide in a year as hundreds of flights every week would.

It comes via a report from The Guardian, which has seen the plans for the new facility and the very real carbon impact assessment.

by Alimat Aliyeva

The integration of artificial intelligence into submarine
warfare may reduce the chances of crew survival by up to 5%,
according to a new report by the South China Morning Post (SCMP),
citing a study led by Meng Hao, a senior engineer at the Chinese
Institute of Helicopter Research and Development,
Azernews reports.

Researchers analyzed an advanced anti-submarine warfare (ASW)
system enhanced by AI, which is designed to detect and track even
the most stealthy submarines. The system relies on real-time
intelligent decision-making, allowing it to respond rapidly and
adaptively to underwater threats. According to the study, only one
out of twenty submarines may be able to avoid detection and attack
under such conditions — a major shift in naval combat dynamics.

“As global powers accelerate the militarization of AI, this
study suggests the era of ‘invisible’ submarines — long considered
the backbone of strategic deterrence — may be drawing to a close,”
SCMP notes.

Historically, stealth has been a submarine’s most valuable
asset, allowing them to operate undetected and deter adversaries
through uncertainty. However, the rise of AI-enabled systems
threatens to upend this balance by minimizing human response
delays, analyzing massive data sets, and predicting submarine
behavior with unprecedented precision.

The implications extend far beyond underwater warfare. In
August, Nick Wakeman, editor-in-chief of Defense One, reported that
the U.S. Army is also exploring AI for use in air operations
control systems. AI could enhance resilience to electronic warfare,
enable better integration of drones, and support the deployment of
autonomous combat platforms in contested airspace.

The growing role of AI in modern militaries — from the seabed to
the stratosphere — raises new questions not only about tactical
advantage, but also about ethical decision-making, autonomous
weapons control, and the future of human involvement in combat
scenarios.

As nations continue investing in next-generation warfare
technology, experts warn that AI may not just change how wars are
fought — it could redefine what survivability means on the modern
battlefield.

Policymakers can make a positive impact on the U.S. artificial intelligence ecosystem by focusing on export controls, basic guardrails and job displacement support, according to Anthropic CEO Dario Amodei.

Speaking at the Anthropic Futures Forum on Monday, Amodei shed light on the approach his company is taking to develop and deploy safe and effective AI solutions, particularly around large language models and agentic AI tools. He offered examples of use cases for emerging AI capabilities, such as in the medical and scientific research arenas, but also acknowledged the risk potential inherent to advanced AI systems. 

“I think it’s more the risks where government has a role to play,” he said. “This is the biggest threat and the biggest opportunity for national security that we’ve seen in the last 100 years.” 

Amodei further detailed Anthropic’s recent restriction on disseminating its models to Chinese companies or subsidiaries, which amounted to hundreds of millions of dollars in revenue, noting that similar embargos should occur with semiconductor chips to prevent misuse by adversarial actors. 

“I think chips are the single ingredient where we kind of most have an advantage. The technology stack for building these is very difficult. We’re being very consistent when we advocate the same thing be done at the chip layer,” Amodei said. “It’s not some attempt to manipulate and order the chip market. We’re doing this at every layer of stack. We think it’s the right thing to do.”

In addition to balanced export controls, Amodei supported government setting rudimentary guardrails on AI, particularly surrounding model training transparency and requirements for companies to conduct basic transparency tests that are publicly available.

He echoed Trump administration officials in prioritizing policy that serves as “a very loose set of requirements, so it doesn’t slow down the innovation and all the benefits.” 

But when it comes to mitigating job displacement as a result of AI adoption and creation, Amodei acknowledged that he doesn’t think there is a viable solution to fully cushion AI’s economic impact, but said it is something that needs to be discussed. 

“If this is something that’s going to affect 300 million Americans and a bunch of people in other countries as well, people deserve to know that there may be these large job displacement effects,” he said. 

Amodei will likely reiterate these suggestions as he and Anthropic leadership, specifically co-founder Jack Clark, head to Capitol Hill to meet with lawmakers as the federal government works to both harness the benefits and tame the risks of AI.