At this point, it’s well known that implementing AI isn’t easy. It takes real thought and strategy to do it right. Indeed CIO/CSO Anthony Moisant said he began with a super-cautious and slow approach to AI, but soon saw the benefits and started looking at how to deploy it to make the biggest changes in the company. He put together a team of experts, worked on large-scale training and initiatives—and has seen a 100% increase in productivity.

I spoke with Moisant about how he did this and what’s next for Indeed. An excerpt from our conversation is later in this newsletter.

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Google seems to be moving closer to trying to deploy AI data centers in space. The Wall Street Journal reported this week that the tech behemoth is in talks with SpaceX for a rocket launch deal to get them there, though the Journal noted Google has also been talking to other space launch companies.

Last November, Google announced the moonshot program Project Suncatcher, which would launch clusters of solar-powered satellites equipped with Google’s custom AI chips in a sun-synchronous, low-Earth orbit to function as a data center. The company said it plans to test prototypes by next year.

It’s a good idea to put data centers in orbit; a new Gallup poll showed Americans would rather have nuclear plants built nearby than AI data centers. However, SpaceX—which took control of Elon Musk’s AI company xAI in February—is already working on its own orbiting data centers, seemingly adding a brand new take on the term “space race.”

ARTIFICIAL INTELLIGENCE

While AI coding is often touted as a productivity game-changer, it might actually introduce new problems into the enterprise. A recent report from code review platform Qodo found that while 94% of developers feel confident about using AI coding tools, nearly nine out of 10 organizations have had to deal with at least one production incident related to code. A quarter had a production outage due to AI-generated code issues. And these problems are worse in large enterprises, 40% of which reported outages.

CIOs aren’t taking this in stride, and 95% have increased their scrutiny of AI-generated code. Close to four out of five have implemented automated gates that prevent AI code from merging into the company’s codebase if it violates security, compliance or........

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