Developers expect generative AI to impact roles and team sizes in the next three years
What's happening
Developers expect generative AI to change roles and team sizes over the next three years. The conversation centers on how AI will reshape work as systems already produce articles, code, summaries, books, and comments, raising concerns that human-created pre-AI data will become more valuable as synthetic material floods the internet. Commentators warn feeding books into generative models risks a cultural void and could make thinking redundant, while surveys and university research are probing what people think and how much they trust generative AI. The debate now mixes practical questions about jobs and teams with wider ethical and cultural worries about AI-generated content.
Why it's trending
Momentum of AI output, public debate and new research on trust are converging, making near-term workforce impacts a fresh concern.
SignalHolding at its usual pace, confirmed across 2 independent source types.
Momentum
Score per dayStory volume
Stories per dayAngles you could write
If you think generative AI will just replace people, youre missing the point: the real battle will be over who controls clean, pre-AI data and how teams reorganize around it.
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Original sources14
- Generative AI Is Over, In Case That Wasn’t Clearinc.comAug 18
- Generative AI is the new king of social engineeringCybersecurity InsidersAug 18
- Does pre-generative-AI data become more valuable as the internet fills with synthetic material?
Hey hey folks, I’ve been thinking about an odd consequence of the generative AI boom. Especially in light of these doomer stories about Anthropic destroying books (boo bad Anthropic bad). The first major LLMs inherited decades of internet that was overwhelmingly produced by humans. Now those same systems and their descendants are producing articles, code, summaries, books, comments, and other mate
r/artificialAug 12
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