Yahoo is not just adding AI on top of existing products. It is using AI across product experiences, internal tools, engineering workflows, and modernization efforts.

In this episode of The Tech Trek, Lee Zen, CTO at Yahoo, joins Amir Bormand to talk about modernizing at massive scale, moving from on prem infrastructure to the cloud, rebuilding internal tools with AI, and how engineering organizations need to rethink process when agents can move faster than people.

Lee also shares how Yahoo views AI as a coworker, not just a tool, and why the next bottleneck in software delivery may be human judgment.

Practical Takeaways

• Modernization at scale often means operating in two worlds at once, keeping proven systems running while new cloud based services move faster.

• AI can help teams move past legacy tools by reverse engineering requirements and rebuilding modern versions from scratch.

• The real unlock is not only code generation. It is connecting agents to documents, chats, emails, production context, and internal knowledge with the right permissions.

• As agents speed up execution, engineering teams need to rethink where human approval, judgment, and review should live.

• The build versus buy equation is changing because some tools that were too expensive to build before may now be realistic to create internally.

Timestamped Highlights

00:31, Yahoo’s mission and why the internet still feels hard to navigate

02:01, Where AI fits across Yahoo products and engineering work

03:30, The challenge of moving from on prem data centers to cloud based infrastructure

05:27, How Yahoo has used AI to rebuild internal tools and leave technical debt behind

07:25, Why agents need access to engineering context, not just code

10:20, AI as a coworker and the shift from human speed to machine speed

16:27, Why parts of the SDLC may need to change as AI increases delivery speed

One Line That Stuck

“AI as a coworker, not just as a tool.”

The Tech Trek is for technical leaders thinking through how teams build, operate, modernize, and adapt as AI changes the work. Subscribe or follow for more conversations with engineering, product, data, and technology leaders.