Top Careers In Future After Ai Revolution And Block Chain Boom

Ultra Instinct Bandiya
3 min readDec 31, 2022

The overwhelming narrative is AI and automation are going to replace human jobs.AI and automation, this may or may not be true, but the technologies are certainly changing the nature of roles that are being offered right now. AI surgeons, soldiers, and judges are here now, and in fact, there is no job out there that computers or robots cannot eventually augment. When we are doing those more human, creative, or strategic tasks that are not going to be automated anytime soon, we can expect to see smart machines and robots to step up and help.

Jobs that include those tasks will need a Human-AI partnership, with humans managing, monitoring, and even teaching those machines. For businesses, the challenge will be making sure that humans and bots alike are spending time doing work that they are best suited for. Jobs will be growing, too, because robot scientists are in constant demand from big industries for programming their machines.

Gartner Research Companies estimates these increases will exceed jobs replaced over the coming years. Interestingly, the information industry is among those expected to see a loss in jobs due to advances in technology. According to the World Economic Forum, in the next five years, half of all workers will need to undergo some kind of training or retraining in order to be prepared to transition to new jobs and industries.

More jobs will need new skills than are automated, requiring a major investment in the training and reskilling of youths and adults. The fact remains that a few jobs will be replaced by machines — this is a core element of any industrial or technological revolution. We know machine learning is going to transform the world, and that automation is going to eliminate somewhere between 20% to two-thirds of jobs in the open market.

As studies have shown, the rate at which AI replaces jobs is only going to accelerate, impacting both highly trained individuals and those with little education. AI practitioners will have to keep pace with changes caused by AI in much the same way that, over the past few years, software engineers had to learn assembly languages, high-level languages, object-oriented programming, mobile programming, and now, AI programming.

Companies will have to develop new ways of training and evaluating employees skills, and countries need to develop an ecosystem for learning. As rates of technology innovation accelerate, future workers will have to adapt to new technologies and new markets.

A report from McKinsey predicted the demand for qualified engineers, including computer scientists, engineers, IT administrators, IT workers, and technical consultants, would grow from 20 to 50 million worldwide by 2030. That is still tens of millions of people, however, and Forrester Research says 86 percent of high-level administrative jobs, such as accounting and bookkeeping, may be automated in the coming years.

Making that transition would help humans transition into positions requiring greater interpersonal skills. Jobs involving higher levels of human interaction, strategic explanation, crucial decision-making, specialized skills, or domain knowledge are not going to be replaced by automation any time soon. Future jobs will have occupations that span the tech gap, but the tech will be the main generator of jobs, not occupations.

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