The False Expertise Trap: How To Keep Your Team Thinking In The AI Era
AI erodes the entry-level work that builds engineering judgment. Four practices to keep juniors thinking instead of parroting output.
Writing
Articles I have published in Forbes.
AI erodes the entry-level work that builds engineering judgment. Four practices to keep juniors thinking instead of parroting output.
How to spot a skills gap early (quality drops, lead overload) and close it with 360 reviews, development plans and mentoring.
Five practices for Ukraine, US and Europe teams: a written communication policy, agreed progress reporting, audience-adapted presentations, a knowledge base.
Why technical leaders over-control, a five-step delegation system, and the team that shrank a 16 TB database to 1 TB on its own.
How a predictive-maintenance team keeps AI diagnostics accurate: field-experienced analysts, three time zones, two-tier triage, custom tooling.
Four traits that mark product-minded engineers, and the retention practices behind five-to-eight-year average tenure.
The business case for IIoT predictive maintenance: downtime costs, ROI, implementation challenges, and build versus buy.
I'm always interested in thoughtful conversations about technology, engineering organizations, AI and ambitious products.
Get in touch opens LinkedIn in a new tab. Email reaches [email protected].