starting with the idea that small and medium sized companies don't have the talent to enable adoption of ai. second, entrepreneurs aren't seeing evidence of value of doing it, and tools are expensive. change management is always a slowdown. adoption through incremental steps is being suggested.

panelist from italy suggests that adoption should bring value first, then can turn focus to making sure ai is safe/secure/trustworthy. if done the other way around it's too slow.

too slow for what

they want it to happen faster, that's all i've got

i know, just, lol

enjoyed that moment where i paused to try to give you an answer that made sense. good one

sorry

i'm laughing

now up from canada, rep from vector institute. says 80% of canadian companies are under 500 employees. panelist suggests that if companies don't implement AI they will become irrelevant.

some suggestions from panelist for change management policy to adopt ai for small and medium sized businesses. says it helps to be done with real-world use cases, not top-down admin.

panelist from japan making good points here. if SMEs are so important then?

vector saying policy makers have to think about incenting innovation rather than slowing it down. panelist says that companies are just trying to solve problems, are mostly good actors, don't create hurdles or you'll shut down innovation.

standards council of canada putting focus in international standards in some part due to amount of noise in the sector and also benefit of leading from behind given structure of canadian economy and canadian tech sector

collaboration not duplication with standards

now rep from the uk is talking about the roll-out of ai adoption hubs for 2026

as well as funding for ai adoption in the uk - this is being shared by a rep from british standards institution. now talking about the bridge ai program, what is the psychology behind resistance to adopting in AI from smes, how to use that learning to inform programming.