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This rhymes with the appraisal-band fragmentation underneath it. Aon 2026: national average ~9.1%, IT services 6.8%, AI-product roles 12-40%. Three price universes, same 'experienced senior' label. The professionals who get filtered out are not underqualified, they are under-translated for the band the role actually sits in. The strongest 2026 signal is not 'what problem do you solve' alone; it is 'what problem you solve, in which AI-augmented unit of work, at what band'. Without the third clause the resume reads historical even when the work is current. Where in your client base is that band-translation gap landing hardest?

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

Zia's avatar

Byron, the signal-not-resume frame maps cleanly onto a pattern I track for mid-career engineers right now. The hottest signal of 2026 is AI-tool fluency expressed as a shipped artifact, not a line in the experience section. Stack Overflow 2025 has 84% of devs using AI tools (51% daily); GitHub Octoverse 2025 puts AI-assisted PR cycle time at 2.4 days, down from 9.6. The professionals reading +1 seniority band ahead are the ones whose last 90 days of GitHub or LinkedIn show a shipped Claude Code workflow, a 30-line agent, an evaluation harness. Translation layer for the algorithm IS the artifact. Where does resume-to-artifact translation break down hardest for your 8-15 YoE readers?

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

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