Tech Jobs May Not Disappear Due to AI, Expert Says
Artificial intelligence has been touted as a job-killer, but one leading expert suggests a different outcome is possible. Erik Brynjolfsson, a Stanford University professor and AI thought leader, believes AI will not replace tech professionals, but rather change the nature of their work. According to Brynjolfsson, emerging roles such as "chief question officer" and "agent fleet manager" will arise, where humans will oversee and guide AI-driven development.
This shift in focus will require tech professionals to define the right questions and evaluate the value of AI-driven actions. Brynjolfsson emphasizes that humans are essential for initiating and enabling actions, and then assessing their worth. As a result, those who can identify opportunities and define problems will become increasingly valuable.
Historically, the introduction of labor-saving technologies has not led to a decline in demand for programmers, but rather accelerated demand in new areas. For instance, the introduction of fourth-generation languages and cloud services led to the emergence of database experts and accelerated the importance of operating system writers.
Brynjolfsson predicts that the rise of agentic workforces will not necessarily threaten jobs, but rather make people more productive. He expects the worldwide software developer population to expand rapidly, with more people creating valuable software and applications.
Managing this rising class of citizen developers will require guardrails to ensure safety, privacy, and security. Brynjolfsson urges people to lean into AI technology, emphasizing that it is not just for computer science, but can be applied to various fields such as art, music, and marketing.
The notion that AI will replace tech professionals is an oversimplification. As Erik Brynjolfsson suggests, AI will expand the software profession, creating new opportunities for citizen developers. However, this shift will require a fundamental change in the way we approach work, with humans focusing on defining the right questions and evaluating the value of AI-driven actions.
