What will be left for us to work on?
AI Snake Oil Arvind Narayanan
A researcher at Princeton delivered a keynote at the International Conference on Machine Learning arguing that AI should be understood through the "AI as Normal Technology" framework, which predicts gradual economic adaptation over decades rather than sudden job displacement. The speaker emphasized that adaptation—the slowest phase of technological impact—has barely begun in fields like software engineering, drawing parallels to how factories took 40 years to reorganize around electricity rather than adopting it as a drop-in replacement. The future will require building skills complementary to AI, organizational restructuring, and humility about deployment challenges beyond raw capability metrics like reliability and robustness.
Why it matters
My keynote at ICML 2026
