AI is the new baseline
I stopped treating AI as a competitive edge. I started treating it as literacy. That single shift changed how I build, how I hire, and what I charge.
Every edge has an expiration date. Literacy was once a privilege; today it's the floor. Knowing how to use a computer once opened doors; today it's assumed for almost any job. The question is never whether a skill becomes baseline — it's when.
With AI, that when has already passed. We're no longer in the phase where using AI puts you ahead. We're in the phase where not using it puts you behind. And that difference changes everything.
From advantage to prerequisite
When something is an advantage, you adopt it to win. When it becomes a prerequisite, you adopt it to avoid losing. The language is different, the urgency is different, and the way you implement is different. An advantage you pilot in a corner. A prerequisite you put at the center of the operation.
I kept seeing companies treat AI as an innovation experiment — an isolated squad, a pretty pilot for the board, a LinkedIn announcement. The problem is that experiments don't move margins. Operations do.
The ROI of AI doesn't show up in the demo. It shows up when it disappears into the process and nobody remembers it was ever new.
What “baseline” really means
Baseline doesn't mean simple. It means fundamental — the layer everything else rests on. Reading is baseline and still the foundation of your entire education. Treating AI as baseline means assuming it's present in every product decision, every process, every hire — not as decoration, but as infrastructure.
In practice, for anyone with a business
- Processes: every repetitive flow is a candidate. Not to “have AI”, but because the marginal cost of a well-defined task dropped close to zero.
- Product: the conversational interface stopped being a gimmick. In many cases, it's the most direct way for a customer to ask for what they want.
- Team: the hiring question shifted from “can you use it?” to “what can you use it to solve?”. The tool is a given; judgment is the criterion.
Where the human still matters
If AI is the floor, what becomes the ceiling? Judgment, taste, context, and accountability. The model generates ten paths; someone has to know which one fits your business, your customer, your brand. That part doesn't get outsourced. It gets more valuable, not less.
That's why I don't build “AI”. I build businesses that use AI until it turns invisible — and let the human do what only a human does. Stopping watching the revolution, and starting to operate it, is exactly this.