The model is called Claude Mythos Preview, and it's so capable that Anthropic decided not to release it to the public. That's a sentence worth sitting with. A company built an AI they were too nervous to ship.

It's what happens when pilots trust the autopilot so much they stop monitoring the instruments themselves. Their manual flying skills erode. Their situational awareness dulls. And when something goes wrong - when the system fails or hits a scenario it wasn't built for - the human in the seat isn't ready.

Workers with AI skills now earn 56% more than peers in identical roles—a premium that more than doubled in just 12 months. Here’s what that gap means for your org’s comp strategy, and how to get ahead of it before the window closes.

According to Torii's 2026 SaaS Benchmark Report, the average enterprise now runs over 830 applications. More than 61% of them operate outside formal IT oversight.

Meanwhile, worldwide AI spending is expected to hit $2.5 trillion in 2026, according to Gartner. Budgets are climbing. NVIDIA's latest State of AI survey found 86% of companies plan to increase AI spending this year. And yet, most of that money will fund projects that never make it out of pilot.

A recent survey of over 1,600 global business leaders found something that should stop every executive mid-purchase order. 85% of companies say they want fully autonomous AI workflows within three years

The Pentagon–Anthropic fallout reveals a critical enterprise risk: AI vendor lock-in. Here’s how leaders can build a vendor-agnostic AI stack that survives sudden vendor shifts.

A simple 10-minute AI leadership habit can accelerate AI adoption, build an AI-fluent culture, and compound organizational learning, without adding a single meeting.

AI just went mainstream. Here’s what leaders must do now to redesign workflows, rethink headcount, and execute a practical AI strategy for their teams.

Most people think AI kills learning. Here’s a practical system to use AI for deep learning, retention, and mastery instead.

OpenClaw is a local AI agent you actually run on your own hardware, revealing how autonomous agents are reshaping work, privacy, and power faster than expected.

The death of the junior analyst is reshaping AI-first organizations. As generative AI replaces apprenticeship work, leaders must rethink how talent is trained.

Time to First Draft (TTFD) is a better AI ROI metric than hours saved. Measure velocity, not vanity metrics, to prove real business impact.

AI burnout isn’t coming from too much work—it’s coming from too much high-intensity thinking. Why leaders must redesign recovery in the AI era.

A practical 15-minute AI leverage sprint for busy leaders who don’t have time to “learn AI” but still want better decisions and clearer thinking.

Use AI to audit your actual work, not your ideal job. A simple first-week productivity audit can reveal hidden patterns and unlock smarter leadership decisions.

Using AI as a thought partner, not a hype machine, helps leaders plan realistically, spot blind spots, and build systems that actually stick.

As U.S. AI policy centralizes, the real advantage shifts from compliance to readiness. Decision-ready organizations will move faster as governance accelerates.

NotebookLM has quietly evolved into a powerful AI workflow engine for leaders. Here’s how to turn NotebookLM into an AI chief of staff using eight outputs that help you lead smarter, build better, and think bigger.

Most MBAs underestimate AI’s impact, even as the global economy rapidly reorganizes around it. These five AI truths help leaders and operators use actionable AI to lead smarter, build better, and think bigger.