>I'm struggling with the CEO being increasingly focussed on investing heavily in AI. I'm not opposed to using this tech at all – it's amazing, and we incorporate a variety of different ML models across our stack where they are useful. But this strategy has evolved to the point where we are limiting resource on key teams aligned with core business to invest in an AI team.
This may or may not be bad. If done right, the majority of the new features will be AI related while the core team will do non-AI enhancements and bug fixes. If they aren't worked to death, the main product will remain stable, just with shifting priority to AI related features over regular features. Maybe 60/40 AI features, shifting to 70/30 over time, etc. Eventually you'll run out of AI ideas or tech.
Having said that, might as well get on the train, AI is a desired skill now so like anything, it'll keep you relevant for a while.
This may or may not be bad. If done right, the majority of the new features will be AI related while the core team will do non-AI enhancements and bug fixes. If they aren't worked to death, the main product will remain stable, just with shifting priority to AI related features over regular features. Maybe 60/40 AI features, shifting to 70/30 over time, etc. Eventually you'll run out of AI ideas or tech.
Having said that, might as well get on the train, AI is a desired skill now so like anything, it'll keep you relevant for a while.