I don't agree in the fact that AI is turning everyone into a data analyst and that phrase ("anyone who can ask the right question can extract insights that once needed a full data team") of yours proves my point. The relative clause after 'anyone' is important. People that know how to ask questions and what questions to ask are the ones that can pretend to be data analysts. If you have a bunch of data and don't know how to wrangle and arrange it, AI won't help. Or won't be as useful as it can be when you have the knowledge and skills of a true data analyst. A Colab Notebook and some help from Gemini may produce a cool output with lots of fancy graphics and such, but if you don't know what the figures are saying you're off and a couple of questions from a customer or your boss can reveal the trick. Whatever task you are in, if you don't know what you are doing but you use some shortcuts or cheats, the true will surface sooner than later. Be honest. Not knowing things is still acceptable in the AI era.

I like how your posts reflect some truths about data analysis that to me are obvious but for what you share it is not. This Summer I was trying to get insights from a wide table of data and despite I could do some great graphs and extract some conclusions, I was lost. And it wasn't until I asked myself what I was looking for that all started to make sense. It's true that I fed the raw data and the questions I was trying to answer to an AI chatbot and asked a few questions, but it didn't tell me what to do but how to look for meaningful ways of working with the data. If you don't know where are you going, any path is a desert crossing.

@Justin Lord Agreed. It's not that Hinton is a no-one in this industry so maybe, and just maybe, he knows what he's saying. But, as usual, we -as society- will pay attention to it when it's almost too late, when we start seeing the disastrous effects of some aspects of AI. It's happening with climate change, and it happened with other things. When consequences of AI reach the wallets of the people who have the big money, then all of a sudden there will be lots of mainstream alarms and crying of "If we had known before...". And what will we do? Memes. Memes of Spongebob showing signs of alarm everywhere. And blame some scapegoat.

The next wave of AI winners will be companies who build them, as usual. Other builders may be runner-ups. That said, I'd like to comment a couple of things. - "Builders create leverage loops —tools that collect feedback, learn from users, and improve themselves." In a way I think that it already exists and are the algorythms from social media and applications. - "The people who build AI that builds for them will own the next decade". I'm not sure they will own so long given the speed at which AI evolves. Maybe they own a couple of years. But, I agree with the general idea of the post. Using AI has become common so you have to take one or two steps further to make a difference. How? Thinking in ways other people don't.

@Pavan Sai Not with people related to AI but with basic services or shopping. If I can trust them or feel they can respond on any inconvenient, I won't buy there.

@Abdulwasi Ibrahim I've never seen you before and we've never talked so I don't know what are you blabling about.