A flying taxi company, an aerospace company, and a drug discovery company walk into a bar...
Sounds like the beginning of a terrible joke, but they are all trying to solve the same problem.
Waiting.
Not for funding, approvals, or customers. Waiting to find out whether an idea actually works, and that's where AI gets interesting! Not the "make this copy sound more professional" kind.
Look at the shifts happening right now, for example. XPENG and their aviation ecosystem ARIDGE, championed by their Chairman Xiaopeng He, used advanced simulation to pull the flying taxi timeline from the end of the decade to this year-end. Aerospace engineers are using physics-informed neural networks to compress rocket engine simulations from months to hours. Insilico Medicine utilized GenAI to take drug candidate from target identification to clinical trails in a fraction of the traditional timeline.
The pattern across all of them is the same. The bottleneck was never ideas. It was the time required between having an idea and knowing if it worked.
The interesting question then becomes, "what was never built before, or what was stalled because the wait was too long, and how can AI help?"
Although... if someone does spend hours building an AI agent that has my drink waiting for me at the bar before I get there, I probably won't complain!