The companies that ultimately win the enterprise AI market may not necessarily be the ones with the smartest models. Those models are increasingly becoming accessible commodities. The bigger challenge is operationalizing institutional knowledge in ways enterprises can trust.
The fight over AI infrastructure will not be decided by models alone. It will be decided by who controls orchestration, governance, execution and interoperability. Detailed analysis of the emerging enterprise risk around AI infrastructure lock-in, highlighting why open standards and open source control planes are essential to preserving long-term operational leverage.
I’ve spent much of the last month traveling, often in […]
AI is accelerating fast, but its economics, infrastructure, and financing are all showing strain. The issue isn’t whether AI works. It’s whether everything required to support it can keep up.
AI acceleration isn’t just speeding things up. It’s creating a widening gap between those operating on AI time and those still stuck on human time.
AI can solve Olympiad-level math problems and write production code in seconds. Yet the same system can fail at questions a human child would answer without thinking. That contradiction tells us something important about what AI really is.
Anthropic’s summit with Christian leaders suggests that even the engineers building the most advanced AI systems may be searching for moral guidance outside Silicon Valley.
Builder, messenger, lightning rod. As artificial intelligence (AI) moves from […]
OpenClaw’s rapid evolution, a still-empty foundation and new native integrations […]
Anthropic’s Mythos model can autonomously find vulnerabilities and generate exploits. If even half of what we are hearing about it is true, the company’s standoff with the Department of Defense suddenly makes a lot more sense.
