Paige Bailey, who works on Google's Gemini, says experienced engineers and managers must model curiosity and push teams to build with AI, rather than rely only on decades of system design and failure-handling expertise.
She says leaders who do not encourage experimentation and share what they learn are doing their teams a massive disservice.
The post endorses Geoffrey Huntley's argument that teams too busy with their normal jobs to experiment with AI are preparing themselves to be replaced.
💯 Co-sign.
For those of us who are mid- or late-career engineers and managers, the mandate shifted quite a while ago. We have decades of context on system design, software failures, architectural "taste", how to handle failures in distributed systems...
...but if you aren't modeling curiosity and pushing your teams and colleagues to build with AI - as well as sharing what you've discovered, attempting to inspire folks to experiment and to learn more - you're doing them a massive disservice.
🗞️ if your team is too busy doing their 'normal job' to experiment with AI, you're preparing them to be replaced https://ghuntley.com/replaced/ In this post, I guess this's the last time I'll say it. AI use is no longer optional if you wish to be employed. What follows is advice for current employees and hiring managers on how to hire in 2026 to source AI-first candidates.
Source: 👩💻 Paige Bailey · x.comPublished · added here
