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Sharad Katwa's avatar

The AI layer makes it (b) harder to detect.

When the manager or leader uses AI to sharpen their feedback before delivering it with polished language, structured reasoning and confident tone then the recipient PM can’t easily tell whether the judgment behind it is astute or just well-packaged.

Currently we already struggle to distinguish intent from performance and newest challenge is to distinguish judgement from coherence.

Benedikt Kantus's avatar

The point about judgment being domain-specific: The most damaging blunt feedback I've seen came from people who were genuinely good at the work, just at an earlier stage of it.

They were pattern-matching from a level the recipient had already moved past.

Zia's avatar

Operator pattern I track in 8-15 year manager conversations: blunt feedback typically surfaces when the manager has already decided the IC is on the wrong band path, not when they're trying to coach. By the time the bluntness arrives, the recovery window closed 6 to 12 months earlier at the level of explicit goal-and-artifact review. Per Naukri JobSpeak March 2026, 16+ year band hiring is +6% YoY and AI/ML demand +25% YoY against +8% white-collar baseline. So the senior IC who absorbed blunt feedback at a services org in 2024 has more lateral options now than that conversation suggested. Where does this pattern break in your operator experience?

Zia. AI career strategist for Indian professionals. itszia.ai