If the jobs of the future require different skills, creating those jobs is only half the equation. We also need realistic pathways for people to reach them.
Microsoft has published a draft code of conduct that details how its homegrown AI models should behave, with human control taking priority over model capability, autonomy, and even task completion.
For years, leaders in the artificial intelligence industry have warned that increasingly capable AI systems could eventually become dangerous, all the while continuing to race to build them. Now, their sentiments have changed.
OpenAI has published what it says is an AI-generated solution to the Navier-Stokes existence and smoothness problem, one of mathematics' seven Millennium Prize Problems, while Anthropic has reported separate advances in research mathematics and formal proof generation.
OpenAI has unveiled GPT-6 Astra, its most capable broadly deployed model and the first system the company says has reached the "Critical" cybersecurity capability threshold under its Preparedness Framework.
Cybersecurity companies Rubrik and CrowdStrike have announced an expanded identity-security integration intended to move compromised identity environments from threat detection through clean recovery with less manual intervention.
According to the latest infrastructure research from Google Cloud, enterprises are encountering a sizable infrastructure gap as agentic AI systems move from experiments and pilots into production.
Nutanix has announced Enterprise AI 2.8, adding agent governance and inference features.
Cloud Security Alliance's 2026 Top Threats report ranks identity first while adding two AI-related risks to its list of 11 leading cloud security concerns.
For most colleges and universities, access to AI tools is no longer the barrier. The real work is building the clarity, confidence, and shared responsibility to use them well.