What will be left for us to work on?
normaltech.ai
July 14, 2026
38 min read
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52/100
Summary
A keynote titled “What will be left for us to work on?” was delivered at the International Conference on Machine Learning in Seoul, addressing concerns about adapting to increasing AI capabilities. Slides from the presentation, along with an annotated transcript, are available for viewing online.
Key Takeaways
- The speaker argues that the AI as Normal Technology framework is a useful perspective for understanding AI's impact unless a significant change occurs, such as recursive self-improvement.
- There is no specific milestone that will lead to widespread job displacement due to AI advancements.
- Future jobs will require significant adaptation as AI capabilities evolve, emphasizing the need for skills that complement AI technologies.
- The response to AI's increasing capabilities is crucial, as accepting a passive role could lead to political backlash against AI.
Community Sentiment
Positives
- AI is creating opportunities to automate tedious tasks, allowing developers to explore and innovate instead of getting bogged down in manual work.
- The rise of low-code/no-code solutions driven by AI is making software development more accessible, enabling teams to deliver faster and more efficiently.
Concerns
- There's a growing sentiment of AI fatigue and burnout, with many feeling overwhelmed by the constant push to adapt to AI technologies.
- Concerns are rising that AI might commoditize software development, reducing it to a mere expectation rather than a valued skill set.
