A year ago, few people had heard of ChatGPT, and for good reason: an artificial intelligence (AI) “chat box” was only introduced by OpenAI, its developer, on November 30, 2022. Less than six months later, a search was done on Google for ChatGPT. It produces hundreds of millions of results.
The big question is: How will this change the lives of billions of people and the world of work? The answer is simple. Nobody really knows.
ChatGPT and its competitors have the potential to revolutionize our lifestyles and the world of work as much, if not more, than Alphabet Inc (Google), Amazon, Apple or Microsoft. However, it is also possible that this technique could be eliminated by a newer (and presumably better) technology, as was the case for Kyproone of the best-selling personal computers of the 80s, and CompuServethe main online service provider at the same time.
Right now, ChatGPT, Metaverse, and many other technologies that will change lives and work in the coming years will give us a real irresistible adventure.
American columnist Kimberly Ross He recently referred to this segment of the population that spans two generations, with an “analog childhood” and a “digital adulthood”. Late baby boomers, nearly all of Generation X (approximately 66 million Americans born between 1965 and 1980) and some millennials share this characteristic.
For someone who started out in the late 1980s, the computer age as we know it today was still in its infancy. When we started using personal computers (or computers), information was saved on floppy disks, which were usually stored in a small box, and not in the cloud as is the case today. Contact details were listed on small index cards, which were kept alphabetically in an office file called a Rolodex. Appointments were written in pencil in the diary.
The arrival of the Blackberry in the early 2000s changed the game, because it allowed you to consult your email in any circumstance (including a meeting). Unfortunately, a drawback also appeared: the duty of multitasking.
Back then, air travel provided a haven without communications, until new phones allowed users to check their voicemail messages during a flight. In other words, over the course of a career spanning about 35 years, the average worker has witnessed the complete shift in work patterns.
Likewise, during this period we witnessed the bankruptcy of companies that could not or did not want to innovate. We have seen the emergence of new digital giants and the disappearance of digital giants who could not keep up with the pace of change. No one could predict the magnitude of these changes, even when the entire world witnessed these changes. Just look at the damage to print media and important retailers at the same time.
The thing is, in trying to understand ChatGPT’s effects on the world of work, some experts have predicted that many, if not most, jobs that involved a lot of typing or coding would disappear. One can also imagine the new functions needed to maintain and develop generative AI technology and to check the accuracy of the product created. However, it is necessary to respect the lessons learned from the past and realize that any predictions one makes are likely to be very far from reality.
Does this mean that one should abandon the idea of trying to understand and influence the future? Absolutely not, quite the opposite. It’s necessary to:
1) Constantly assessing the market,
2) modeling options and potential effects,
3) make predictions,
4) Repeat, then repeat and repeat again, paying special attention, perhaps, to the new startups that come up and fail.
Why ? Because as the late said David Pecotte, startups are “generally right and specifically wrong”. However, much can be learned about the future by tracking ideas and financing.
Pay attention to ChatGPT, Metaverse, and all other life and work technologies. Make predictions, but know that they are terribly linear. So maybe you supplement your linear thinking with exponential imagination and fantasy.
How well do Star Trek, the Jetsons, and even Harry Potter represent life as we know it today? Perhaps strategic planning teams should spend some time researching sprawl And other similar offers to broaden their vision.
Translated article from the American magazine Forbes – Author: Deborah Lovich
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