Speakers: Daniel Nadasi (Google)
Track: Leadership
AI is reshaping software engineering, creating uncertainty about how engineering roles will change as increasingly capable systems take on work that was once performed by people. While no one can predict the future with certainty, history offers examples of how technical innovation has transformed work in other industries and provides useful ways to think about the current transition.
This session explores what economics can teach us about the future of software engineering and agent-assisted development. We will examine how similar periods of technological change have affected work, productivity, and workforce composition, and discuss which lessons are applicable to software engineering today. We'll also look at how engineering organizations can use insights from their own codebases to better understand the impact of AI on engineering work, rather than relying on assumptions or conclusions drawn from broader industry discussions.
No background in economics is required. We will focus on minimal theory and practical concepts that help engineers and leaders interpret ongoing changes and make informed decisions.
https://data.webdirections.org/ai-engineer-sydney/sessions.json#e76575d9-d8fb-4dac-abaa-b09afe38ee86
Full text on webdirections.org
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