Why the AI’s honeymoon is ending (and tech workers are feeling it) | Noam Segal

21 insights saved from this video by @technology

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This survey measures how technology workers feel about their jobs, not whether technology roles are objectively disappearing.
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For technology workers, doing more for the same pay is a bigger fear than losing their jobs to AI.
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You can enjoy your current role and still discourage others from entering it, exposing a bleak forecast beneath present satisfaction.
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Thirty-five percent are conflicted, building more joyfully than ever while fearing their work threatens their careers.
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AI turns faster work into higher expectations, making every productivity gain the new baseline instead of creating breathing room.
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No technology role has net-positive recommendation sentiment. Even founders, the happiest group, would not recommend their role.
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AI creates “smiling exhaustion”: people feel energized shipping more while relentless speed leaves no off switch.
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12% are resentful: AI adoption pressures them, leaves them checked out, and still does not prevent job losses.
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Only 25% of respondents rated their manager highly effective, while 36% rated their manager ineffective.
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The worst-rated managers cluster in design, research, data, and analytics.
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AI-energized employees are not becoming generalists. They are going deep on specific tasks and jobs to be done.
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Forty-one percent are energized by AI, treating it as an expansive playground for building and experimentation.
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AI-era work is a paradox: unprecedented creative power arrives alongside burnout, fading optimism, and fear of job loss.
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Using AI is not cheating. Learn to leverage it as a capability, especially while the technology keeps improving.
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Teams went from a few pull requests daily to roughly 30, plus more prototypes, PRDs, campaigns, agents, and ads.
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Choose a few problems where AI helps, then go deep. Trying to make AI do everything is a trap.
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Smaller companies and entrepreneurship offer work environments worth considering when the usual path no longer fits.
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The tech industry is in the second inning of a massive shift, and nobody knows the outcome.
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Some AI design problems are tractable. Producing genuinely novel, excellent creative experiences is substantially harder.
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People drive technological innovation, so attention belongs on the humans building and experiencing the change.
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Technology is moving in positive directions, even when the findings along the way are difficult.

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