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How To Think About AI

Schelling AI, JUL 31, 2024

Summary


Generative AI is already taking over our world. As these AI models continue to improve, we face immense societal changes. This piece examines the imminent rise of AI Atlantis — a world dominated by highly talented AI agents and robots.1 We explore why current AI models fundamentally differ from previous technological paradigms, their potential to reshape industries, and the critical choices humanity faces. Everyone must understand how the advancement of AI will rewrite the rules of economics, creativity, and human potential. A few entities will monopolise and control these transformative technologies — this power — unless AI is democratised. Choices made today will determine whether AI amplifies or diminishes human agency and freedoms. This piece is a foundation for further explorations of the topics covered here. It is an urgent call to action that aims to catalyse informed, proactive engagement with AI’s remarkable challenges and opportunities.

Contents


Summary

Contents

Introduction

AI Graduates

Files to Flows

Agents vs. Agency

Crossroads

Conclusion

Source: Bloomberg Intelligence, IDC

Conclusion


AI is here. It’s accelerating faster than most can comprehend. Again, we’re not talking about some distant future; we’re talking about now. Choices today will determine whether AI becomes our greatest ally or our most formidable challenge.

What we want you to take away is:

  • AI Atlantis is Rising. 100 billion AI agents and a billion robots at your fingertips — all as competent as university graduates — is our imminent reality.
  • Current Models are Just the Beginning. We’re on the cusp of an explosion in AI capabilities that will make today’s tech look primitive.
  • The Fundamental Nature of Work, Creativity, and Problem-Solving is Changing. Industries ranging from software to healthcare, education to entertainment, are on the brink of transformation.
  • Individual Agency Will Soar. AI will provide people with more choices, time, and capabilities, than ever before.

So what do we all do? Society needs  to act in a way that’s fast and considered:

  • Invest in AI Education and Literacy. For everyone. Your grandma needs to understand this as much as your software engineer neighbour.
  • Push for Open, Collaborative Approaches to AI Development. Tech giants or governments must not monopolise this power.
  • Rethink Our Economic Models. The old economic paradigms are breaking down. New frameworks that can handle the reality of AI Atlantis are needed.
  • Develop Standards for AI Ethics and Regulations. Ensure AI enhances human potential rather than diminishes it.
  • Encourage Global Cooperation. AI doesn’t respect borders. There needs to be a combined, international effort to tackle the challenges and make use of the opportunities.

The reality is, AI is going to change everything. Absolutely everything. The way humanity works, creates, and solves problems. The way we all live.

There is still a choice. Together, we can shape this change. We can guide it toward a future where AI enhances human creativity, solves our biggest challenges, and reveals incredible possibilities.

Or we can sleepwalk into a future where AI widens inequality, erodes privacy, and leaves many behind.

The choice is all of ours. But we need to make it now. Not next year, not next election cycle. Now.

So, what’s it going to be? Will you sit there and watch AI take over our world? Or do you want to help form the future?

Schelling has made its choice: shaping an AI future that empowers humanity. Are you with us?

Let’s make AI Atlantis a paradise, not a dystopia. We must ensure AI is made by the people, for the people, with the people.

1

 Friedman coined the term “AI Atlantis,” referring to a new digital realm of virtually limitless AI resources; Friedman, N. (2024, March). The AI Landscape: Last Year & Years Ahead. In 2024 Abundance Summit. Abundance360, Los Angeles, CA.

2

Goldman Sachs. (2023, August 1). AI investment forecast to approach $200 billion globally by 2025. Goldman Sachs.
https://www.goldmansachs.com/intelligence/pages/ai-investment-forecast-to-approach-200-billion-globally-by-2025.html

3

Bloomberg. (2023, June 1). Generative AI to become a $1.3 trillion market by 2032, research finds | Press | Bloomberg LP. Bloomberg L.P.
https://www.bloomberg.com/company/press/generative-ai-to-become-a-1-3-trillion-market-by-2032-research-finds/

4

PwC. (n.d.). 2024 AI business predictions. In PwC. Retrieved July 16, 2024, from https://www.pwc.com/us/en/tech-effect/ai-analytics/ai-predictions.html

5

Paw, U., & Atkinson, J. (2024, May 29). PwC is accelerating adoption of AI with ChatGPT Enterprise in UK and US and with clients. PwC.
https://www.pwc.co.uk/press-room/press-releases/corporate-news/pwc-is-accelerating-adoption-of-ai-with-chatgpt-enterprise-in-uk.html

6

Hatzius, J., Briggs, J., Kodnani, D., & Pierdomenico, G. (2023). The potentially large effects of Artificial Intelligence on economic growth (Briggs/Kodnani). In GSPublishing. Goldman Sachs.https://www.gspublishing.com/content/research/en/reports/2023/03/27/d64e052b-0f6e-45d7-967b-d7be35fabd16.html

7

World Economic Forum. (2020). The future of jobs report 2020. World Economic Forum.https://www3.weforum.org/docs/WEF_Future_of_Jobs_2020.pdf

8

Musk, E. [@elonmusk]. (2023, August 2). Vehicle control is the final piece of the Tesla FSD AI puzzle. That will drop >300k lines of C++ control code [Tweet]. X. https://x.com/elonmusk/status/1686513363495346178

9

Kahneman, D. (2011). Thinking, fast and slow. New York: Farrar, Straus & Giroux Inc.

10

Dell’Acqua, F., McFowland III, E., Mollick, E. R., Lifshitz-Assaf, H., Kellogg, K., Rajendran, S., Krayer, L., Candelon, F., & Lakhani, K. R. (2023). Navigating the jagged technological frontier: Field experimental evidence of the effects of AI on knowledge worker productivity and quality. Social Science Research Network.
https://doi.org/10.2139/ssrn.4573321

FOR EDUCATIONAL AND KNOWLEDGE SHARING PURPOSES ONLY. NOT-FOR-PROFIT. SEE COPYRIGHT DISCLAIMER.