Where Agents Are Heading
What to watch next.
Predicting AI is a fool's game, and anyone who claims to know what happens in five years is guessing. But some directions are already clear. Knowing them will help you to choose what to learn next, and to avoid building things that are about to become free.
- Predictions are guesses
- Some directions are clear
- Choose what to learn next
Trends worth watching
Models are improving at long tasks, working for hours rather than minutes. Costs for a given level of quality keep falling. Standards such as MCP and A two A are making agents plug together. Computer use is improving. And more and more of the work is moving from writing prompts, to designing context and evaluation.
What will stay the same
Here's the useful question. What won't change? People will still need to trust systems. Mistakes will still have costs. Someone will still have to decide what good looks like. Security will still matter. So skills in evaluation, system design, and judgment will stay valuable, whichever model comes next. Learn those, and you can't be replaced by a model update.
Summary
Models change, while good judgment lasts. Next, a final review before the capstone.
Key takeaways- Long tasks and falling costs
- Standards connect agents
- Judgment stays valuable