AI career concerns behind a reported switch from manager to engineer
A post recounts a manager leaving a slow-moving enterprise company to learn to build with AI agents, citing concern that a competitor using them could disrupt the business.
TLDR
One post relays an unnamed manager’s move from an enterprise company to a hands-on engineering role at a company building AI solutions. The reasons given: staying would mean missing out on learning to build with AI agents, while a competitor using them could disrupt the business. In a follow-up, the author suggests that legacy technology’s familiar hiring and retention problems seem to be unfolding faster as developers and managers see career risks in being unable to build or experiment with AI agents and solutions.
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AI career concerns behind a reported switch from manager to engineer
A post recounts a manager leaving a slow-moving enterprise company to learn to build with AI agents, citing concern that a competitor using them could disrupt the business.
TLDR
One post relays an unnamed manager’s move from an enterprise company to a hands-on engineering role at a company building AI solutions. The reasons given: staying would mean missing out on learning to build with AI agents, while a competitor using them could disrupt the business. In a follow-up, the author suggests that legacy technology’s familiar hiring and retention problems seem to be unfolding faster as developers and managers see career risks in being unable to build or experiment with AI agents and solutions.