InformationWeek

As AI agents proliferate across the enterprise, identity management is becoming more complex and a higher security risk.

16 states' Attorneys General demand answers from OpenAI; Amazon passes memory chip costs onto consumers; Cisco deploys personalized AI agents.

The data can be correct. The definition can be correct. The answer can still be wrong. AI analysts need decision context before the question arrives.

Cloud repatriation is gaining ground as CIOs weigh cost, performance and control in deciding where individual workloads belong.

Nvidia's latest earnings point to years of AI infrastructure growth, but shifting compute economics and more options make infrastructure bets harder for CIOs.

AI is already running in your business — often invisibly. Before you can govern it, you need to see where it's operating. Visibility comes first.

Do you have insights or best practices to share with other CIOs and IT leaders? Here's how to submit your own commentary article to InformationWeek.

AI is helping network management connect siloed systems, prioritize problems and automate some responses. See where network intelligence is headed.

Vijay Kotu, chief analytics officer at ServiceNow, and Jonas Hansson, CIO at Axis Communications, talk stepping in to change AI project trajectories.

Mobilize breach counsel, forensics and secure comms in the first 120 minutes, or a manageable cyberattack can become weeks of chaos, writes an IT pro.

Nvidia puts $105 billion behind new data center; Anthropic walks back an enterprise data retention policy; Pennsylvania sets new data center requirements.

How can CIOs lead their businesses through rising, unpredictable AI costs and build budgets that deliver value?

Macroeconomic trends, increased use of AI and geopolitical uncertainty are among the drivers of layoffs at tech companies this year. Follow InformationWeek's tracker for how the tech job environment is faring in 2026.

Per-seat pricing worked when humans were your only users. Now AI agents outnumber employees 25-to-1. The traditional software budget model is breaking, writes one CEO.

As AI models evolve on unpredictable timelines, CIOs must rethink how they plan investments, design applications and manage testing over time.