In AI, You Are What You Charge For, Not What You Install
Joe Pine puts it bluntly: you are what you charge for. Charge for the tool and you're in the tool business. Charging for the outcome forces the change to actually happen.
Joe Pine puts it bluntly: you are what you charge for. Charge for the tool and you're in the tool business. Charging for the outcome forces the change to actually happen.
The method SpaceX uses to redesign rockets puts automation dead last, after questioning, deleting, and simplifying. Most AI projects start exactly 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 don't own a tool. You own a continuity risk.
Silvia Adlesic said it plainly: willingness to pay measures what the customer believes, not what you built. And in the AI era, belief gets corrected 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. The cause is agents turned loose with no scope.
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. The real call is how much to 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.
Join our weekly newsletter with practical analysis and tips
We respect your privacy. Unsubscribe anytime.
We publish about digital transformation, applied artificial intelligence, enterprise software development, data analytics, and B2B business strategy. All content is geared toward technical decision-makers and business leaders.
We publish between 2 and 4 articles per month. We prioritize quality over quantity: every article includes verifiable data, real project experience, and practical recommendations you can apply right away.
Articles are written by our team of specialists with direct experience in the topics they cover. In our experience at IQ Source, technical content should come from people who execute, not just research.
Yes, subscribe to our weekly newsletter to get the latest articles delivered directly to your inbox. We also include exclusive content that we don't publish on the blog.
We consider collaborations with industry experts who bring unique perspectives. If you have experience in digital transformation, AI, or enterprise development and are interested in contributing, reach out with your proposal.