In r/artificial and r/MachineLearning, discussion frames job impact as task level automation and skill compression, with disagreement on whether minimally sufficient performance implies safe full automation and concern that entry level roles are shrinking.
The framing of AI 'taking jobs' was always too binary. What's actually happening is more granular: AI is compressing the skill gap between a mediocre practitioner and a good one, which devalues mid-tier labor without eliminating the need for top-tier judgment.
As of late 2025, AI models scored a 7 in roughly 65% of tasks.
65% of the tasks, then, could be *completely automated by AI*. Not automation with human review, but completely automated.
I mean entry level jobs are going away so there's that
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