Don't view AI as just a feature set. Instead, treat "intelligence" as a fundamental new building block for software, on par with established primitives like databases or APIs. When conceptualizing any new product, assume this intelligence layer is a non-negotiable part of the technology stack to solve user problems effectively.

Don't feel pressured to label every AI-powered enhancement as an "AI feature." For example, using AI to generate CSS for a new dark mode is simply a better way to build. The focus should be on the user benefit (dark mode), not the underlying technology, making AI an invisible, powerful tool.

The focus on AI making work 'faster' misses its true value for designers. The real power lies in enabling them to push ideas 'further' into high-fidelity, interactive prototypes, allowing for deeper exploration and clearer communication of intent without engineering dependencies.

AI tools are dramatically lowering the cost of implementation and "rote building." The value shifts, making the most expensive and critical part of product creation the design phase: deeply understanding the user pain point, exercising good judgment, and having product taste.

Implementing AI tools in a company that lacks a clear product strategy and deep customer knowledge doesn't speed up successful development; it only accelerates aimless activity. True acceleration comes from applying AI to a well-defined direction informed by user understanding.

Years of focusing on MVPs has weakened the ability of product teams to imagine magical, delightful features. AI prototyping tools make ambitious ideas easier to build, helping teams reignite their creative muscles and aim for awesome products, not just viable ones.

Instead of fearing AI, design engineers should leverage it to automate boilerplate and foundational code. This frees up mental energy and time to focus on what truly matters: crafting the nuanced, high-quality interactions and animations that differentiate a product and require human creativity.

For creative work like design, AI's true value isn't just accelerating tasks. It's enabling designers to explore a much wider option space, test more possibilities, and apply more craft to the final choice. Since design is non-deterministic, AI serves creative exploration more than simple speed.

As AI makes feature creation trivial, the crucial skill for product builders will be ruthless simplification. The challenge shifts from "what can you build?" to "what should you *not* build?" to maintain clarity and usability in an age of abundance.