Artificial Intelligence and its physical counterpart, Robotics, are steadily becoming part of everything we do, consider, and aspire to achieve. AI has learned to surpass human performance in tasks once believed impossible to automate. Machines can now analyze video and interpret language with levels of reliability never before achieved. Cars can operate autonomously, while intelligent systems can outperform doctors in certain medical diagnostic tasks. AI can also produce original artwork, detailed engineering designs, and promising new medicines. Yet where will this technology move next, and what limits, if any, will define its reach?
In the first part of this talk, we will take a close look at the forces truly propelling AI forward and the new forms of AI likely to emerge next. We will examine the less familiar factors behind AI’s rapid ascent, moving beyond the usual emphasis on computing power and data to consider the influence of expanding network scale, along with the growing ecosystem of intelligent agents that increasingly cooperate with other agents.
In the second part of the talk, we will explore both the current generation of AI and the future generations that have yet to arrive. We will consider the full impact of generative AI on engineering innovation and discovery, and then look further ahead to emerging forms of AI, including Physical AI in 2030 and Self-aware AI in 2040.
The talk concludes with a set of practical action items focused on preparation: how individuals can get ready for the coming transition, how organizations can adapt and respond effectively, and how national policymakers can develop thoughtful strategies for managing the broader changes ahead.
