Has AI become part of your daily work or is it still mostly talk?

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HitEsh

Updated 2 days ago in

I keep hearing teams talk about being “AI-powered,” but in practice it often feels uneven. Some people use AI constantly for decisions, analysis, or automation, while others barely touch it or don’t trust the outputs enough to act on them. In a few cases, AI helps speed things up but the final call still comes down to human judgment like it always did.

Curious how this looks in your world. Where has AI genuinely become part of daily workflows, and where is it still more of a talking point than a real shift? What made the difference between adoption and resistance?

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<p data-start="110" data-end="483">I keep hearing teams talk about being “AI-powered,” but in practice it often feels uneven. Some people use AI constantly for decisions, analysis, or automation, while others barely touch it or don’t trust the outputs enough to act on them. In a few cases, AI helps speed things up but the final call still comes down to human judgment like it always did.</p>
<p data-start="485" data-end="700" data-is-last-node="" data-is-only-node="">Curious how this looks in your world. Where has AI genuinely become part of daily workflows, and where is it still more of a talking point than a real shift? What made the difference between adoption and resistance?</p>
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Ishan 2 days ago

see real adoption when AI is embedded directly into existing workflows where it removes friction or saves time without asking people to “think differently.” That’s where trust builds, because results are visible and repeatable.

Where AI stays a talking point is when it’s bolted on, opaque, or feels like an extra step. The difference usually comes down to usability, clear ownership, and whether teams see AI as decision support they can verify, not a black box they’re expected to obey.