Why Every AI-Native Team Needs a Chief of Staff Function
As agents take on more execution, teams need a function that manages priorities, context, handoffs and decision rights across people and software.
Business, technology and what comes next.
NextNow / Section
Workplace, leadership, operations and the changing design of organizations.
As agents take on more execution, teams need a function that manages priorities, context, handoffs and decision rights across people and software.
AI makes individual steps faster, but Lean thinking keeps attention on flow, quality, feedback and the work the customer actually values.
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.
NotebookLM is now Gemini Notebook, with code execution and closer ties to the Gemini app and Search as Google consolidates research, analysis and creation into a shared workspace.
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.
Palantir is turning “AI sovereignty” into an enterprise architecture argument: companies should control the data, operational context and model choices that shape their proprietary intelligence.
An analysis of S&P 500 filings found that 11% of companies had deeply integrated AI by 2025, while another 10% used it directly in production—far below the level implied by corporate enthusiasm.
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.