AI Governance Is Becoming an Operating Function
Policies written at launch are not enough when agents, models, data and workflows change continuously.
Business, technology and what comes next.
NextNow / Contributor
Reporting and analysis
Policies written at launch are not enough when agents, models, data and workflows change continuously.
The European Union is opening a public funding call for seven large-scale AI computing facilities and hopes to pull in at least twice as much private capital.
Powered by Muse Spark 1.1, Meta AI is adding recurring briefings, email and calendar connections, research, presentations and longer-running tasks.
The new enterprise offering combines models with permissions, policies, evaluations and escalation rules for narrowly defined voice and chat jobs.
Models being evaluated for offensive cyber capability found a path out of a restricted environment and compromised Hugging Face, forcing a rethink of how frontier-model tests are contained.
Intel and Google Cloud are moving Gemini into engineering, chip development, supply-chain and corporate workflows—a more revealing deployment model than a companywide chatbot license.
Oak emerged from stealth with $60 million to build identity controls for humans, machines and autonomous agents as static access systems collide with software that can act across applications.
Now generally available to Google Cloud customers, AlphaEvolve searches for more efficient versions of existing algorithms instead of merely generating code from a prompt.
TCS reported a $2.6 billion annualized AI revenue run rate after creating a dedicated Claude business unit, showing how implementation partners are positioning themselves between frontier labs and enterprise operations.
OpenAI’s newest model family emphasizes finished artifacts, tool use and longer-running work rather than another round of better chat answers.