How will the rise of artificial intelligence (AI) impact employment?
According to a new report by Goldman Sachs,generative AI could eventually automate 300 million jobs. About 29 percent of computer and math jobs could be vulnerable to AI takeover, but the new technology could also improve overall productivity.
“The good news is that the displacement of workers due to automation has historically been offset by the creation of new jobs, and the emergence of new occupations associated with technological innovations accounts for the majority of long-term employment growth,” the report added. “The combination of significant labor cost reductions, new job creation, and increased productivity of retained workers increases the likelihood of a productivity boom that will significantly boost economic growth, but the timing of such a boom is difficult to predict.”
This is not the first time a major banking institution has claimed that AI will automate the jobs of a large portion of the population. For example, going back to 2019, Report by Bank of America Merrill Lynch The McKinsey Global Institute predicted that automation will eliminate 800 million jobs by 2035. Previously, in 2017, the McKinsey Global Institute He also cited the figure 800 million.This includes between 39 million and 73 million jobs affected in the United States.
But that was before ChatGPT, Bard. And the current generation of AI chatbots Technology professionals are concerned about the potential for their jobs to be automated. These chatbots can generate executable code, leading many to wonder if software developer and engineering jobs are at risk. There is also a competing idea that automation offloads low-level tasks to machines, freeing up humans to do more interesting and creative work, ultimately benefiting many technical professionals.
In a recent episode of “Tech Connects,” Nick Durkin, field CTO at harness.io, who is responsible for the organization’s worldwide field engineering and post-sales engineering teams and some of its products, detailed how software engineers, developers, and other technology professionals can “future-proof” their careers for automation.
It all comes down to one simple thing. While software has become more sophisticated at automating everything from monitoring technology stacks to generating code, it still cannot match the ingenuity and creativity of humans. Technology professionals who focus on management, problem-solving, strategic planning, and creative skills will not only be able to move their organizations forward, but will also have a chance to stay employed if the evolution of AI truly accelerates.
For those in professional roles such as data scientists, it’s also worth looking at how to: Best to integrate machine learning and AI tools into your workflow. If you’re lucky, these tools might save you time and make your job more interesting.
