@kaleighf def the most talked about ai marketing path, see lots of concern about it being a dying career, but the amount of conversation is a tell it'll stick. think the field to broadens more and more into content strat.
reddit user nailed it:
"the reason ai's not going to replace me is because I know when and how to use it, and when and how not to."
thing is a lot of people think they're here, but they haven't done the experimentation and constant keep up work to be there.
having a working automation doesn't automatically make it successful.
working = functional, does the thing
successful = saves time and/or produces better output
automation that saves time doing the thing, but shifts that time to verifying and editing instead, is not a success unless it leads to a better output.
tell me you havent used ai without telling me:
"mistakenly we thought that by just introducing artificial intelligence and ingesting the design requirements that we had, that that would produce a high-quality product." - ford vp of vehicle hardware engineering
want to get cited by ai? put your best stuff near the top of the page.
- first 30% of content: 44.2% of all citations
- middle (30–70%): 31.1%
- last third (70–100%): 24.7%
boring agents are where the money is:
- invoice extraction
- price checking
- inbox routing
- lead enrichment
- call triaging
focused, repetitive stuff that keeps getting used.
companies assume their engineers can instantly build ai workflows and agents since they're technical, but it's not that simple.
i've heard of a surprising amount of non-technical people teaching engineers how to use the tech.
traditional coding is deterministic, whereas ai processes take prompting, iteration, learning how the models work, and getting outputs consistent enough to use.
teams can and should learn by doing, but a lot of the time it's worth partnering with someone a step ahead to speed things up.
@zarazhangrui cool idea. like the practicality of it!
been using obsidian web clipper to pull content as i see it, then get a few categorized digests tailored and emailed to me each morning. also recommends which links to open for futher reading.
whether teams win or lose with ai comes down to one cultural belief:
- losers think it replaces them so they resist
- winners think it amplifies them so they experiment
I spent the weekend with dozens of VP+ leaders on how to ai pill their team, and here were the things that hit them hardest:
- yes, you are behind
- most are willing to add tools and spend tokens. few are willing to kill process & change jobs
- a leader’s lack of ai hard skills
big content teams have a growing disadvantage.
the more people who review creative, the harder it is to leave rough edges that'll keep it from getting ignored or written off as ai.
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