17 essays
Staying small used to mean staying limited. AI has broken that link. How the one-person enterprise competes with far bigger teams, and where it can't.
AI agents are starting to hire and manage humans, not replace them. What matters is on whose terms your people enter the loop, and who is left liable.
An AI agent can do the job but it can't be answerable for it. Why agents aren't a staffing strategy, and four questions to ask before delegating work.
The agentic convergence trap: when every rival runs the same AI, the plans converge. Your real edge is judgement, taste and the data nobody else owns.
Anthropic's Claude for Small Business is the best AI-employees pitch yet. But it can't define your work for you, and that was always the real barrier.
DeepSeek V4-Pro just matched Opus 4.7 on coding at a seventh of the cost. The four-bucket framework for rewriting your 2026 AI budget — by Q3 ideally.
Anthropic just cut OpenClaw from Claude subscriptions on 4 April. The platform tax has arrived — and it changes how to build on any AI provider today.
93% of AI spend lands on infrastructure, 7% on people. Why the unphotogenic work of retraining people around AI is where the real value actually sits.
Zencoder's team went from 36 engineers to 30 and nearly doubled throughput. A data-backed look at what AI-first software development really means now.
AI agents have rewritten the compute equation permanently. Ben Thompson argues this isn't a bubble — and your business strategy needs to catch up now.
Forget workflows — AI agents run decision loops. Map where autonomous cycles belong inside your business, and you will outpace everyone else doing it.
85% of enterprises want agentic AI but 76% lack the operational foundation. Why process visibility matters more than model capability.
Three real failures in one week made the case for AI agent governance. Here is a practical framework that keeps agents useful and controlled.
The collaboration paradox: AI-augmented individuals match teams. But AI-augmented teams produce 3x more breakthroughs. Fewer people isn't the answer.
The E-Myth series finale. Gerber said build the system and step back. When the system thinks for itself, stepping back isn’t freedom — it’s neglect.
AI is raising the floor of competence across every discipline. The specialist era isn’t over — but who counts as one is changing fast.
Capability maps, bounded intelligence, placement decisions — what building an AI-first business operating system looks like over twelve months.