Planning a career in the age of AI
Worried about AI taking your job? Afraid the corporate ladder is closing behind you? Join us in-person on Stanford's campus for a discussion on how to plan your career in the age of AI.
We'll discuss:
What kinds of jobs might be relevant if AI replaces lots of jobs
What jobs you shouldn't take in light of AI
How AI might alter the social contract between regular people and governments
What technology we can build to save people's jobs
Why governments and private actors are spending hundreds of billions of dollars to build AGI, defined by OpenAI as a system that could "outperform humans at most economically valuable work."
ABOUT THE HOSTS
Luke Drago led the design and implementation of the AI economics curriculum at BlueDot Impact, the world's largest AI safety training platform. He was previously on the leadership team of Encode, where he co-authored AI 2030 — an AI policy platform whose economics section was endorsed by Nobel Prize winner Daron Acemoglu. His blog post "Now is the Time for Moonshots" argues that college students should pass on traditional prestige paths in light of AI's potentially transformative impact. He writes about AI's economic impacts on his Substack. He left his recent role to focus full-time on how to keep people relevant post-AGI.
Sneha Revanur is the President of Encode, the global youth movement for safe and beneficial AI. In 2023, she was named one of TIME Magazine's 100 most influential people in AI. Her work has been recognized by governments around the world. She's also a student at Stanford.
Rudolf Laine is an AI researcher. His viral post "Capital, AGI, and Human Ambition" explained why powerful actors might not be incentivized to care about regular people if advanced AI automates them. His "Situational Awareness Dataset" benchmark is used by major labs like OpenAI to evaluate their models for safety risks. He recently suspended his PhD in ML at Oxford to focus full-time on how to keep people relevant post-AGI.
Dhruv Sumathi studied EE at Stanford and was a founding engineer at Cradle, a company building reversible cryopreservation technology. His work led to the recovery of the first recorded electrical activity in a cryopreserved section of brain tissue. He recently left to focus on AI safety, and is back on campus to build a community around making the transition to AGI go well. He is currently exploring how neurotechnology might help with this.
Duncan McClements works on modeling economic and policy questions of AI, housing and growth. He founded and edits Inference Magazine on AI progress, is a Research Associate at the Adam Smith Institute and designed Bluedot Impact's Economics of Transformative AI course. He blogs at Model Thinking.
This event is in-person only. Capacity is limited, so sign up now to ensure you get a spot. Approved attendees will be sent the location.