We’re all learning prompting — but I’m not convinced it will matter long term

I’m on the marketing side, and my mentor recently suggested I take a prompting course (like Google’s Prompting Essentials). At first it made sense — prompting clearly matters right now.
Outputs depend heavily on how you ask. Small phrasing changes can completely shift results.
But I keep coming back to this question: Is prompting actually a durable skill — or just a workaround for imperfect systems?

Right now, we’re essentially: translating intent into text, adapting to model quirks, learning patterns through trial-and-error. But if AI tools evolve toward:better memory; more structured interfaces; more controllable systems; Then the need to “prompt well” might fade — or at least change form. 

What made me question this more is that some tools are already trying to abstract prompting away. For example, I’ve been using autocoder.cc a bit, and it has automatic prompt optimization built in — it restructures or improves your prompt instead of relying on you to get it perfect. In that kind of setup, it makes me wonder whether getting really good at prompting is actually the highest-leverage thing to focus on.

From a marketing perspective, this feels especially unclear. So I’m trying to think about this correctly: Is prompting worth serious time investment right now? If yes, what actually transfers across tools? And how are people practicing it beyond trial-and-error? Curious how others are thinking about this.