I asked AI researchers and economists about SWE career strategy and AI's future (chrisbarber.co)

A recent inquiry involving AI researchers and economists explored the evolving role of software engineers in the wake of AI advancements, addressing concerns that automation could eliminate many software jobs. Key insights highlighted concepts like Amdahl's Law and Jevons Paradox, emphasizing that as tasks become more efficient through automation, the remaining human roles may become increasingly valuable. Experts predict that while software engineering functions will be significantly transformed, jobs are unlikely to vanish entirely. Instead, roles will adapt, requiring engineers to take on diverse responsibilities such as product management and AI system integration. Significantly, the discussions suggest that the future software engineer will not merely code but will also facilitate the human-AI collaboration, ensuring efficiency and quality assurance in software output. The dialogue hints at a future where AI makes coding more accessible, leading to potential job displacement but also a creation of roles focused on critical oversight and nuanced problem-solving. With an expectation of job shifts over the next decade, those in the AI/ML community are encouraged to develop a versatile skill set and foster networks, preparing for an evolving landscape where adaptability and strategic thinking will be paramount.