When it comes to AI, bigger isn’t always better

There is growing concern about trust in AI as the technology is adopted by more people. Large language models (LLMs) continue to face persistent challenges with hallucinations and inaccurate outputs. LLMs are probabilistic systems trained to give answers, even when the correct answer is unclear or unknowable with the context provided. Humans are more likely…

When satellites become AI agents, space data centers become the next AI frontier

For decades, space infrastructure was largely understood through the language of rockets, satellites, launch capacity, communications and exploration. The enterprise technology world watched from a distance. Space was important, but it was not usually treated as part of enterprise infrastructure strategy. That assumption is beginning to change. As artificial intelligence drives unprecedented demand for compute,…

Why AI governance is failing — and what actually works

AI adoption has outrun AI governance, and the consequences are impacting the business. According to Cloud Security Alliance (CSA) research, 65% of organizations report having experienced at least one AI agent-related incident in the past year. Nearly half have tied confirmed or suspected data leaks to unauthorized gen AI use, per EY’s Technology Pulse Poll.…

The compounding enterprise

On July 20, a federal judge gave final approval to the largest copyright settlement in U.S. history. Anthropic will pay $3,000 per work for roughly 500,000 books it pulled from pirate libraries to train its models. Here’s the detail most of the coverage missed: The court had already ruled that training AI on copyrighted text…

IT jobs report: Demand for AI fluency rises

AI skills continue to drive IT job postings, with 75% of US technology openings requiring AI fluency in June, up 178% year-over-year, according to the Dice July 2026 Jobs Report. Roles in the software industry continue to rise, ranking second behind consulting as the industry seeking the most IT help right now. Aerospace/defense, finance/banking, and…

AI and the workforce have the same blind spots

Every AI rollout comes with the same internal pitch: We’ll move faster, and we’ll stay accurate, because humans will review the output. It’s a two-part promise. Most organizations have spent the last two years measuring the efficiency of this, but not many have seriously tested the second part. New research suggests we should be questioning…