World's Fair 2026
The Golden Age of AI Engineering — Alexander Embiricos & Romain Huet & Peter Steinberger, OpenAI
Alexander Embiricos , Romain Huet , Peter Steinberger
Overview
This talk posits that AI engineers are not becoming obsolete but are instead entering a golden age, fundamentally reshaping the engineering landscape. The rapid advancement of AI models, now iterating every few weeks, enables engineers to tackle complex problems with unprecedented speed and capability. The focus is shifting from writing code to problem-solving, integrating AI with design, judgment, and imagination to create usable products. This era represents a return to the core principles of engineering, amplified by powerful AI tools.
Who should watch
- AI Engineers
- Product Managers
- Builders and developers working with AI
- Those interested in the future of software development
- Individuals concerned about the role of engineers in an AI-driven world
Key takeaways
- AI models are iterating at an accelerated pace, with new versions released approximately every six weeks, significantly speeding up product development cycles.
- Engineering is evolving from solely writing code to a broader problem-solving discipline, leveraging AI for design, judgment, and imagination.
- AI agents are becoming capable of handling tasks before, during, and after the coding process, assisting with planning, execution, and review.
- The development of AI tools like Codex aims to maximally empower engineers, not automate them, offering a collaborative interface that blends chat and hands-on interaction.
- OpenAI is building its products, including the Codex app and harness, using the same open-source components and APIs provided to developers, fostering a shared ecosystem.
- The future of AI engineering involves more sophisticated agent loops, moving beyond simple task execution to persistent, delegating managers that can coordinate complex workflows.
- Key advancements enabling these loops include server-side compaction for reliability, coordination for steering projects, and automation for waking agents.
- The primary constraints for engineers are shifting from tokens and compute to attention, highlighting the critical skill of deciding where to focus AI efforts.
Notable quotes
*AI engineers are the people here pushing the frontier. Yes. And you all are figuring out how this new capability can reach everyone.*
*Engineering has always been about solving problems for yourself and for other people as well.*
*We're not building one system for OpenAI and a second system that's simplified for developers. At every layer, we actually use the thing that we give to you.*
Unofficial community note. Prefer the recording for nuance.