Kim Bellard
I have to admit that I have been away from writing about AI lately. So much, so fast that I couldn't keep up. Don't ask me what the difference between GPT-5 and GPT-4 or Gemini and Genie 3. I know Microsoft really, really wishes me to use Copilot, but I haven't bitten so far. DeepMind and DeepSeek? Is anthropomorphism a French AI? Or is that Mistral? I'm glad that there are younger, smarter people who are paying more attention to all of this.
Still, I'm very worried about where the AI revolution takes us, whether we drive or drive along the car. exist Fast CompanySebastion Buck, co-founder of ENSO, “Future Design Company”, has made a great attitude towards AI Revolution:
The horrible news is: we have to redesign everything.
The exciting news: we can redesign everything.
He continued to explain:
When new social norms are created and places where institutions and infrastructure are reconsidered, the technological revolution creates a window of time. From how people find dates to whether children write papers, to what jobs need to be applied to, to how people move around cities and get health diagnosis, this time window will affect daily life in countless ways.
These are design decisions, not natural results. Who can make these decisions? Every company, organization, and community is considering whether and how to adopt AI. You are almost certainly included. Congratulations, you are now part of the design revolution.
I wanted to pick a region, especially hope that we were interested in redesigning everything, rather than in a normal short-sighted, laissez-faire way: work and wealth.
Over the past 30 years, offshore outsourcing has led to the demise of American manufacturing and its solid middle-class blue-collar jobs. There are some facts about this, but automation can be said to be a factor-that is forward AI and today's multi-function robots. More importantly, today's AI and robots are not just manufacturing, but tools in every field.
Former Transport Minister Pete Buttigieg warned:
The economic impact is the one I think is probably the most destructive and fastest. The entire job category we are talking about, not in three to four jobs in 30 or 40 years, and half of the entry-level jobs may not exist. When the automation trade absorbed a lot of automotive work from the 90s, it would be a bit like what I did in the Midwest of Industry as a kid, but ten times, about a hundred times destructive.
Mr. Buttigieg is not an AI expert, but Erik Brynjolfsson, a senior researcher at the Institute of Artificial Intelligence at Stanford University, is director of the Stanford Digital Economy Lab, IS. When asked about these comments, he told Morning version: “Yes, he's important. We're seeing a huge advance in core technologies and little attention is paid to how we adapt to the economy and prepare for these changes.”
For example, you can recently view the major layoffs in the technology sector. Natasha Singer, written by The New York Timescovering how computer science graduates start paying from expecting a number in six to work at Chipotle (wait until Chipotle automates all of these jobs). The New York Federal Reserve Bank says unemployment rates in computer science and computer engineering are better than those in anthropology, but surprisingly, almost all other majors are worse.
And don't just feel bad for tech workers. “In the next job market, whether it's already started or it's been a few years – for millions of workers, their jobs can be replaced by artificial intelligence, which can be bloody,” warned Axios's Neil Irwin. He quoted Fed Gov. Lisa Cook: “AI hopes to reshape our labor market, which in turn may affect our concept of maximum employment or our estimates of natural unemployment.”
In other words, you haven't seen it yet.
Tech has flourished during the last 30 years when manufacturing has been beaten in the United States. Most of the largest and most profitable companies in the world are technology companies, and most of the richest people in the world have gained wealth from technology. Overall, these people are the ones who invest the most in AI – most likely to benefit from it.
Professor Brynjolfsson is concerned about how we will deal with the transition to the AI economy:
The ideal thing is that you find ways to compensate and manage the transition. Sadly, through trade, we didn't do a good job of that. Many people are left behind. If we make similar technical mistakes, it will be a disaster. [which] This will also create a lot of wealth, but will not affect everyone on average. We have to make sure people manage this transition.
It is indeed a “disaster”. I'm worried it's coming.
We know that the CEO-to-worker salary ratio has soared over the past 40 years. We know that the concentration of wealth in the United States is also at an unprecedented level. And we know that social mobility – the United States’ dream of doing better for children, which anyone can do – has stalled and is actually lower than many of our companion countries. Artificial intelligence can solve these problems or make them worse.
It's exciting to think of everything AI will do for us. We will be able to do old things better/faster/cheaper and do new things that we can hardly dream of. With it, we should live in a post/rich society. But that doesn't mean we all benefit, and of course not all people benefit equally or fairly.
Professor Brynjolfsson hits his nails:
I am optimistic about the potential to create more wealth and productivity. I think our productivity growth will be higher. At the same time, there is no guarantee that all this wealth and productivity will be shared evenly. We invest a lot to drive hundreds of billions of dollars in capacity, and we invest very little in thinking about how to ensure that this leads to a broadly shared prosperity. This should be the agenda for the next few years.
So if you don't consider social welfare programs, universal basic income (UBI), baby bonds, etc., and what, to be precise, we want humans to spend their days and start thinking. As Mr. Barker suggested, start designing the AI revolution we should want.
Kim is the former emarketing Exec of the main blues program, late editor and regret tinture.ionow regular THCB contributor
