Continuous learning gets unlocked this year. Calling it now. Today’s models are mostly frozen. The one you use tomorrow is basically the same one you used today. It doesn’t truly learn from working with you. Continuous learning changes the game. An AI that compounds on the job. Builds context over time. Develops judgment. Gets better at your work by actually doing your work. Most people are still debating which model is smartest today. The bigger story is the first one that can genuinely learn tomorrow.

Everyone’s panicking about AI taking their jobs. That’s cute. Meanwhile people are literally working on autonomous LLM powered weapons getting cheap enough for genocidal regimes to deploy at scale. We’re arguing about résumés while sleepwalking into kill-bot industrialization.

Photography didn’t eliminate artists. It made mediocre art irrelevant. AI will do the same to software. When software becomes cheap, design and simplicity become everything. Only the best-designed products survive.

The progression is already visible: First humans ask AI to do work Then AI suggests actions and humans approve. Then AI executes within guardrails. Then it operates independently under defined mandates. Then the AI starts suggesting optimal work for the human to do to achieve a task. Eventually, collaboration becomes so tight it no longer feels like using a tool — it feels like an extension of cognition. Humans remain the source of preference, trust and context. AI becomes the infrastructure for judgment and execution.

9 months ago on Fox Business, I said AI would work like YouTube — it shows up, knows who you are, and automatically finds ways to create value for you: foxbusiness.com/video/637193… Back on this week: AI is making the cost of producing software approach zero. It's going to become like water: foxbusiness.com/video/638952… Same thesis, one year later. The intelligence layer is being abstracted away from the software. What you pay for won't be the tool anymore — it's whether the tool knows you.

Markets are repricing data and software companies on AI threat. The real AI disruption hasn't happened yet. Most companies have barely begun integrating AI into their workflows. SaaS margins and growth are just beginning to be impacted. The selloff is pricing in impact that's still 2–3 years away from full force.