Daniel Dines

Jobs are changing over time. We are seeing in agriculture, if you think about 100 years ago, 50% of UK or US population worked in agriculture. Nowadays, it's only 2%. They are mostly people that supervise machines doing their work. Yes, many of the jobs today will change, but they will be new jobs. Society evolves. You don't want to be stuck in the existing society.

Jobs are changing over time. We are seeing in agriculture, if you think about 100 years ago, 50% of UK or US population worked in agriculture. Nowadays, it's only 2%. They are mostly people that supervise machines doing their work. Yes, many of the jobs today will change, but they will be new jobs. Society evolves. You don't want to be stuck in the existing society.

This thing will create abundance. The only way to keep with the economical growth is to increase productivity. It's with population aging and actually on the verge of starting to reduce, like in many first world countries, it's only increasing the productivity. This tool is essential to increase productivity.

This thing will create abundance. The only way to keep with the economical growth is to increase productivity. It's with population aging and actually on the verge of starting to reduce, like in many first world countries, it's only increasing the productivity. This tool is essential to increase productivity.

This thing will create abundance. The only way to keep with the economical growth is to increase productivity. It's with population aging and actually on the verge of starting to reduce, like in many first world countries, it's only increasing the productivity. This tool is essential to increase productivity.

Why we are focusing on the doom day scenario when actually we live in one of the best world possible when it's the rate of unemployment is the lowest in, I don't know, ever maybe.

Why we are focusing on the doom day scenario when actually we live in one of the best world possible when it's the rate of unemployment is the lowest in, I don't know, ever maybe.

Why we are focusing on the doom day scenario when actually we live in one of the best world possible when it's the rate of unemployment is the lowest in, I don't know, ever maybe.

You underestimate the inertia of corporations, honestly. Even with RPA, our RPA technology, it's pretty good. And it's not fully penetrated. Not at all. It's all about inertia.

You underestimate the inertia of corporations, honestly. Even with RPA, our RPA technology, it's pretty good. And it's not fully penetrated. Not at all. It's all about inertia.

You underestimate the inertia of corporations, honestly. Even with RPA, our RPA technology, it's pretty good. And it's not fully penetrated. Not at all. It's all about inertia.

I would say it's probably less than 10%, 20% penetrated. But the rest is, it's not an easy technology to deploy. You need to put an entire program behind RPA. It's kind of the same with the Gen TKI. It's not that suddenly you'll have an agent that sits next to you and you show, you do this and this, and then you just go and they will run the job. No, it's not.

I would say it's probably less than 10%, 20% penetrated. But the rest is, it's not an easy technology to deploy. You need to put an entire program behind RPA. It's kind of the same with the Gen TKI. It's not that suddenly you'll have an agent that sits next to you and you show, you do this and this, and then you just go and they will run the job. No, it's not.

I would say it's probably less than 10%, 20% penetrated. But the rest is, it's not an easy technology to deploy. You need to put an entire program behind RPA. It's kind of the same with the Gen TKI. It's not that suddenly you'll have an agent that sits next to you and you show, you do this and this, and then you just go and they will run the job. No, it's not.

It's going to take next five, 10 years with the current state-of-the-art LLMs. It's going to take next five to 10 years to get to very wide scale deployment of agentic plus automation. If LLMs, of course, will go to AGI.

It's going to take next five, 10 years with the current state-of-the-art LLMs. It's going to take next five to 10 years to get to very wide scale deployment of agentic plus automation. If LLMs, of course, will go to AGI.

It's going to take next five, 10 years with the current state-of-the-art LLMs. It's going to take next five to 10 years to get to very wide scale deployment of agentic plus automation. If LLMs, of course, will go to AGI.

I have, yeah. Look, my definition of AGI, it's a bit different than their definition of AGI. So AGI for enterprises would be when I have an LLM that has the capabilities of a guy with an average IQ like 120 points, but predictably. Not 180 in some fancy math jobs and 60 into other type of jobs. Predictably. This is AGI. When we will get there, the jobs landscape will change completely.

I have, yeah. Look, my definition of AGI, it's a bit different than their definition of AGI. So AGI for enterprises would be when I have an LLM that has the capabilities of a guy with an average IQ like 120 points, but predictably. Not 180 in some fancy math jobs and 60 into other type of jobs. Predictably. This is AGI. When we will get there, the jobs landscape will change completely.

I have, yeah. Look, my definition of AGI, it's a bit different than their definition of AGI. So AGI for enterprises would be when I have an LLM that has the capabilities of a guy with an average IQ like 120 points, but predictably. Not 180 in some fancy math jobs and 60 into other type of jobs. Predictably. This is AGI. When we will get there, the jobs landscape will change completely.