AI Industry & Strategy
The business of AI, explained: funding, IPOs, pricing, compute economics, and the bets each lab is making. Get smart on where the value is going.
Colette Kress Explained: Nvidia's Interim CEO and What Comes Next
On November 12, 2026, Nvidia's board announced that co-founder Jensen Huang had resigned effective immediately, naming longtime CFO Colette Kress as interim CEO. Here is everything you need to know about who she is and what the transition means for the AI industry.
Nvidia DSX Pod Explained: The AI Data Center in a Box
Nvidia has unveiled the DSX Pod, a factory-built, shipping-container-sized AI data center that the company says can go from delivery to producing AI tokens in as little as 14 days. The announcement, made at GTC Berlin in October 2026, reframes how the industry thinks about the cost of waiting.
Replit and Anthropic: What Really Happened and Why It Matters
Replit's CEO publicly declared the company was done with Anthropic, then walked it back within hours. The messy truth reveals a bigger shift in how AI coding platforms choose and switch their model partners.
The Best AI Courses in 2026: The Top 5 Platforms, Reviewed Honestly
We compared the five platforms where serious AI learning happens: real review counts from independent sites, real prices with dates, and the honest catch in each one.
The Best AI Courses on Maven, Ranked (2026)
Serious AI courses cost four figures. We ranked the six on Maven worth it in 2026, by operator credibility and real demand evidence, plus a calibrated way to decide.
What Is a Neocloud? Why AI Chipmakers Are Becoming Cloud Providers
A new class of cloud provider called the neocloud has emerged to supply the raw GPU power that AI labs need and traditional cloud giants struggle to deliver fast enough. Understanding how neoclouds work, who funds them, and what risks they carry is essential for anyone trying to reason clearly about the AI infrastructure race.
Why Full AI Autonomy Fails: Checkpoints That Keep Agents Safe
Autonomous AI agents are powerful precisely because they act without constant hand-holding, but that same independence is also why unchecked autonomy keeps failing in production. Building deliberate checkpoints into agent workflows is not a workaround for weak AI; it is the engineering principle that makes agentic AI trustworthy at scale.
The Case Against Fully Autonomous AI: Where Human Checkpoints Matter
The race to remove humans from AI workflows is generating a wave of expensive, hard-to-diagnose failures. Understanding the mathematics of compounding errors, real-world production incidents, and emerging regulations reveals why the smartest AI deployments keep humans strategically in the loop.
The Real AI Race: Why Context Access Just Beat Raw Model Power
For years, AI labs competed on benchmark scores measuring raw reasoning. Now a quieter revolution has taken over: who can give an AI model the most information to work with at once, and what that shift means for everything built on top of these models.
Why Cursor Is Training Its Own Trillion-Parameter AI Model
Cursor, the AI code editor used by millions of developers, is no longer just a smart layer on top of someone else's AI. It is building its own frontier model from the ground up, and the implications reach far beyond software development.
Why AI Replacements Are Failing: The 95% Pilot Problem
Enterprises have poured billions into generative AI pilots, yet the vast majority never make it out of the demo stage. Here is why the replacement playbook keeps failing, and what the organizations actually winning with AI are doing instead.
Why the $20 / Month AI Era Is Ending
For three years, $20 a month bought you access to the most powerful AI in history. That deal is quietly unraveling, and the reasons why matter for everyone who depends on AI tools.
What Is the OpenAI IPO Really Betting On?
OpenAI has confidentially filed for an IPO that could rank among the largest in U.S. history, but the headline valuation masks a much more complex bet. Understanding what it is actually wagering on is one of the most instructive exercises in AI literacy right now.