AI won't replace designers because it lacks taste and subjective opinion. Instead, as AI gets better at generating highly opinionated (though not perfect) designs, it will serve as a powerful exploration tool. This plants more flags in the option space, allowing human designers to react, curate, and push the most promising directions further, amplifying their strategic role.

Finding transformative AI use cases requires more than strategic planning; it needs unstructured, creative "play." Just as a musician learns by jamming, teams build intuition and discover novel applications by experimenting with AI tools without a predefined outcome, letting their minds make new connections.

When stuck on product direction, use a simple prompt like "add five new features." The AI acts as a creative partner, generating ideas you may not have considered. Even if most are discarded, this technique can spark inspiration and uncover valuable additions.

To avoid generic brainstorming outcomes, use AI as a filter for mediocrity. Ask a tool like ChatGPT for the top 10 ideas on a topic, and then explicitly remove those common suggestions from consideration. This forces the team to bypass the obvious and engage in more original, innovative thinking.

AI's occasional errors ('hallucinations') should be understood as a characteristic of a new, creative type of computer, not a simple flaw. Users must work with it as they would a talented but fallible human: leveraging its creativity while tolerating its occasional incorrectness and using its capacity for self-critique.

AI can generate hundreds of statistically novel ideas in seconds, but they lack context and feasibility. The bottleneck isn't a lack of ideas, but a lack of *good* ideas. Humans excel at filtering this volume through the lens of experience and strategic value, steering raw output toward a genuinely useful solution.

Instead of asking AI to perfect one animation, MDS prompted it to "create five vastly different hover effects." This divergent approach uses AI as a creative partner to explore the possibility space, revealing unexpected directions you might not have conceived of on your own.

The tendency for AI models to "make things up," often criticized as hallucination, is functionally the same as creativity. This trait makes computers valuable partners for the first time in domains like art, brainstorming, and entertainment, which were previously inaccessible to hyper-literal machines.

Contrary to fears that AI averages out creativity, it can act as a partner to challenge a writer's habitual thinking, suggest alternative phrasings, and identify blind spots, ultimately leading to more original output.