How Generative AI is About to Make Your Job Obsolete in the Next Decade?

Generative AI is about to make your job obsolete and will dominate in the next decade

Artificial intelligence, according to experts, would automate mundane tasks first such as driving, food delivery, and other similar activities. Elon Musk has been promising to introduce fully autonomous driving features in his Tesla vehicles for the last eight years. Significant progress has been made in this direction, primarily by businesses other than Tesla. But it's still too far off in the future to be drinking chai as an autopilot takes us from Marina Beach to Mylapore.

On another front, we could have made fantastic — or, depending on how you look at it, horrifying — progress. Today, AI is capable of writing competent code, creating protein structures and product strategies, writing scripts, picturing our pathetic bodies as ripped superhero avatars, creating cinema, and performing music. All this in a fraction of the time it would take a professional using modern tools to be only somewhat skilled. Your daughter Paromita, who plans to work in software engineering, may have a better employment outlook than your plumber Perumal, according to recent news reports. So, Generative AI is about to make your job obsolete, maybe or maybe not?

This decade will go down in AI history with the emergence of generative AI technology. This nebulous phrase distinguishes AI models that produce writing, music, and visuals from those that make judgments or predictions.

The generative AI models for text and images that have been introduced this year are more than competent. The Gofundme initiative to safeguard artists against AI technology, which last week alone collected US$150,000, serves as proof. For example, a survey from the World Economic Forum predicted that by 2025, machines will eliminate 85 million jobs while also creating 97 million new employment roles.

Whole jobs are seldom eliminated by technology. Technologies just automate tasks and lessen the labor-intensive aspects of jobs in practice. An acre of land was once daily ploughed by a farmer and his oxen. The same farmer can now plow 15 acres in the same amount of time with a tractor. Knowledge labor will have a comparable rate of productivity growth thanks to generative AI systems. Additionally, they will make some equipment and abilities outdated in the process. Increased employment frequently results from such productivity improvements and the accompanying profit. In the US, this was the situation. In 11 occupations that are thought to be at risk from AI, employment rates increased on average by 13% between 2008 and 2018.

Additionally, brand-new employment categories are created by new technology. Before the airplane, there were no pilots. It is difficult to predict what new job categories generative AI will ultimately produce. Many ideas motivate engineering, one of which may be determining the best approach to convey your objective to an AI. I'm not convinced. First, this function is more analogous to a psychologist, as Andrej Karpathy, an AI researcher, has noted. Second, all we want is another AI that converts sentences from everyday language into more detailed prompt inquiries that generative AI models like. Therefore, don't waste your time honing talents for a job you'll never have.

To comprehend how future humans and AI would cooperate on cognitive activities, some have proposed a three-step procedure. The demand originates from humans, who then consult an AI system for a list of choices, choose the best fit, and further modify it to suit their needs. This framework is useful. But take note that the structure of cognitive value generation in institutions is not changing as a result of AI.

In the future, there might not be much of a reason to hire and train young employees. The children, though, I believe will be well. The paradigm of how one gains expertise currently exists is going to be destroyed. We urgently need to revamp both our established job pathways and our educational institutions. ChatGPT creates MBA essays with a B+ mark on specialized subjects like relational contracts. Teachers in high schools and professors in colleges are about to have a bad surprise.

How can Humanity Survive in a Future Dominated by AI?

The solution is to develop your humanity. Workplace value will increase for traits like agency, dedication, empathy, and perserverance. The drawback is that we frequently develop these qualities in our first employment. Because it is practically hard to start as junior staff, I'm not sure where we may get them.

Thoughtfully considering your clients and co-workers, your profession, and its role in the world, and learning the finer points of its knowledge base should serve as a general prescription for success for everyone. As a software developer, writing boilerplate code won't get you very far. Start learning about algorithmic complexity, delay, and clear abstractions instead. There will generally be less of a need to put up with the shrewd but volatile sorts on the job. Therefore, perhaps a little humility and friendship are required for those of us with white-collar occupations. The generative AI celebration is just getting started, and it will be eccentric.