"250 or more" employees is at top. "1-4" and "100-249" are next, while all the medium sized companies are lagging at the bottom. This is signal I think. The heavy adopters are either large enterprise or solo/micro teams.
Now my interpretation: Enterprises are mostly riding the hype and not getting that much real benefit - hence the recent steep decline they've seen. Solo devs and micro teams are reaping the most of the actual benefits of generative AI. Anecdotally I've seen this in practice that individuals or tiny teams have the most flexibility with using AI and can play around with it the most in order to get it to do useful stuff. Larger organizations are limited by communication overhead and need to follow protocols and procedures and best practices and whathaveyou. Whatever benefit AI brings is drowned out by this overhead.
My prediction: Solo devs and tiny teams using AI will be able to do more work faster than enterprise. I've yet to see much real world results of this, so I think the effect is kinda small, but I do believe is is tangible. I think we're seeing a silent wave of micro-sass businesses that is made more possible because of generative AI. These aren't large or sexy, so they're not making headlines. Where can I find data on this?
I agree with you here. I'm a solo founder who is self-funding and have been able to apply gen AI for any task and have been building all the products that I need to get things done. I have my basic PM tools and CRM, but everything else I'm building and making them dumb so I can validate as fast as possible.
I think larger Enterprises are not as efficient and can't get their teams to consistently and effectively communicate how and what their process is with using AI. Unless they are extremely organized.
You can find those founders on LinkedIn.