The method SpaceX uses to redesign rockets puts automation dead last, after questioning, deleting and simplifying. Most AI projects start where it ends.
On Friday a government switched off two frontier models for everyone. If your operation runs on a capability you don't control, you own a continuity risk.
Silvia Adlesic said it plainly: willingness to pay measures what the customer believes, not what you built. In the AI era, belief corrects in 48 hours.
Anthropic says Claude writes most of its merged code and its engineers ship 8x more per quarter. The new line isn't who uses AI, but who can prove output.
Uber capped AI spend at $1,500 per person and one company burned $500M on Claude in a month. The cap treats the symptom, not agents turned loose.
Building AI has never been cheaper, so the bet is to build. But 95% of pilots move no P&L, and in most companies nobody owns the downslope of the curve.
Cognition raised $1B at a $26B valuation for an autonomous coding agent. In production, autonomy is the first thing that breaks. How much should you give it?
A sales agent wrote a flawless $0.00 invoice for a 14-seat deal. The pricing API was correct. Every log was clean. Only the full execution trace explained it.
The 'AI consultant' title expires. What stays is a discipline: start with a deterministic workflow and climb to an agent only when the problem demands it.
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