# What will the world look like in 2035?

Page: https://stenobird.com/podcast/generative-ai-meetup/what-will-the-world-look-like-in-2035
Text version: https://stenobird.com/podcast/generative-ai-meetup/what-will-the-world-look-like-in-2035.md
Podcast: [The Generative AI Meetup Podcast](https://stenobird.com/podcast/generative-ai-meetup)
Published: 2025-04-02T09:01:06+00:00
Episode link: https://podcast.genaimeetup.com/e/what-will-the-world-look-like-in-2035/
Audio file: https://mcdn.podbean.com/mf/web/wjwjnsdzd6dfqrsc/future_of_agents_full_video_audio-esv2-80p-bg-11p62m72_16ai9j.mp3
Processing state: processed
JSON: https://stenobird.com/v1/public/podcasts/generative-ai-meetup/episodes/what-will-the-world-look-like-in-2035
Duration seconds: 2876

## Resource

A speculative deep dive into the trajectory of AI agents and their impact on human civilization over the next decade. The hosts project a future defined by exponential growth in automation, robotics, and biological longevity.

## Highlights
- Main idea: AI agents are evolving from simple task-executors to complex systems capable of autonomous reasoning and software development
- Practical takeaway: As AI handles more knowledge work, human value will increasingly shift from technical execution to 'taste' and curation
- Failure mode: Small context windows and information bottlenecks currently limit agents from managing large-scale, complex software ecosystems
- Future trend: The 'YouTubeification' of production will lower the barrier to entry, allowing individuals to launch companies and products with unprecedented ease
- Bold prediction: By 2035, advancements in biotechnology and personalized health could allow humans to reach 'longevity escape velocity.'

## Topics

AI Agents, Artificial General Intelligence, Humanoid Robots, Longevity Science, Future of Work, Automation, Exponential Growth, Neuralink

## Chapters
- 1:00 — Defining AI Agents: An exploration of what constitutes an agent, using the analogy of a travel agent to explain autonomous task execution.
- 4:40 — The Context Window Bottleneck: Discussing the technical limitations of current models, specifically how limited memory prevents the creation of large-scale software.
- 8:15 — Real-World Agent Examples: Using Tesla's self-driving technology as a precedent for how agents interact with and act upon the physical world.
- 11:55 — The Future of Knowledge Work: Predicting a slowdown in traditional hiring for software developers and the shift toward human-centric 'taste'.
- 19:00 — Humanoid Robotics and Physical Agency: Speculating on the integration of advanced robotics and neural interfaces into daily life and personal care.
- 22:50 — Longevity and Biological Thresholds: A look at the potential to reach zero-pace aging through optimized nutrition, microbiome health, and advanced therapies.
- 33:40 — The Era of Individual Empowerment: How the democratization of powerful tools will enable a new wave of solo entrepreneurs and creators.

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## Transcript

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