To me, the problem is not about what AI is good or bad at, but about institutional knowledge. If AI is doing the coding, writing, designing, or whatever else, you slowly lose the ability to a) learn from others in the org because nobody knows what you need to learn anymore and b) actually improve stuff because there's no more "what good looks like"
it will not. Dead Internet Theory - eventually everything will be slop. And even if you care to avoid the slop, there is no place left for anyone to differentiate from the market slop offering because the 10-20% that actually care about not being fed slop are not enough to sustain a market.
My companies current national marketing campaign strategy, structure and creative work has been created by an MBA from outside our industry who did a "deep dive" using AI. The project manager they brought in to run the tickets is also adding AI made decisions on brand and ad copy.
The short version of the result is that we're completely copying the leaders in our market that have 100x our marketing budget because they're the only ones with documented strategies for AI to cheatsheet from, with no sense or irony or concern that perhaps their scale is a core part of their strategy.
It's not just institutional knowledge. We're suffering the death of the specialist. Now every generalist is pulling triggers with no sense of limitations.
FinnLobsien · · focus · HN ↗
matthewmccc · · focus · HN ↗
mschuster91 · · focus · HN ↗
pixl97 · · focus · HN ↗
weego · · focus · HN ↗
The short version of the result is that we're completely copying the leaders in our market that have 100x our marketing budget because they're the only ones with documented strategies for AI to cheatsheet from, with no sense or irony or concern that perhaps their scale is a core part of their strategy.
It's not just institutional knowledge. We're suffering the death of the specialist. Now every generalist is pulling triggers with no sense of limitations.