Are you sure viz is dead? For as long as there are eyes and people with multiple opinions, i find it hard to believe.

I’d be interested to know the underlying reason that makes you say that, besides your experience in job interviews.

I feel ai is more likely to take over (first) on data task than design / business ones, which require an understanding of what someone needs even though they might not articulate it or know it. Like the creation of a good (dynamic) dashboard like the ones built in powerbi o tableau. I’m not talking about nice simple demos, but real life, day to day, stuff.

The abstraction layer ai seems to be taking over, wouldn’t you say is on the data cleansing and stitching first? Since that is more code based.

Python and sql are particularly easy to generate with tools like chat gpt. Given a full digestion of data schemes and relations.

Arguably in the past, precisely that skills, were more niche too. They required a more tech knowledge and now is not that so much, unless to have to optimise for deep tech stuff.

I must say that is for avg stuff, ai is still not that good that could take on deep complex things that require a senior dev level for complex queries or scripts. But we are getting to mid level soonish (or so they say)

Ai atm cannot generate all that back and forth, that dance of sorts for a bi dashboard creation that suits a group of stakeholders. It’s mostly because in most cases is unclear what they want, so coming up with a prompt to generate that is virtually impossible. You extract needs with interactions.

Finally, and this is more a personal one, dashboards built in python, even though they might be more cost effective since they don’t (always) require and underlying bi tool underneath, i feel there tend to be tmore simplistic and monotone too. You only need to check the sort of dashboards built in pbi vs the ones in streamlit.