that makes sense! really good stats tying adoption to core KPIs (content, user engagement, spend) there which IMHO is the key but no doubt in a few years we will have case studies of this done both really well and really poorly 😅 definitely hear you on getting less tech central teams figuring out how to upskill but do think orgs should look to foster independence and creativity around that as much as possible! thanks for getting back to me 🙂
Hi Jared - respectfully disagree on this. Lots of companies are making AI adoption essentially a core KPI (like that’s what’s being suggested with monitoring AI adoption, making it a hiring requirement, etc) Can you think of another technology where this approach has worked? In every other case don’t we all agree that businesses should adopt new tech when it clearly contributes to an actual core KPI (eg revenue growth, retention, or cost cutting but this one should be approached with extreme caution especially around new tech?). Super excited about LLMs but I feel like this hype is just creating companies filled with AI bloatware that lines the pockets of startups who’s business model is ‘generate hype, get VC funding, exit before everyone realises the product is useless’ 😆 As a dev I also really resent being told how and when to use AI - I’m capable of integrating it in my creative workflow myself & different devs are finding different ways to use it that work for/don’t work for them - ideally shouldn’t we be trusting employees with more creative control rather than mandating specific tool use? Just curious on your / others thoughts on this! Understand where you’re coming from - happy/curious to be convinced otherwise & appreciate this seems a bit contrarian these days 😆
