Where AI is going in 2026

Quick Overview

The speaker predicts that by 2026, AI tools like those from Anthropic (Claude) and OpenAI (GPT) will be so capable that 90% of coders' work will be AI-generated, leading to a societal shift where human focus moves away from basic coding/research toward higher-level tasks and problem articulation, fundamentally altering the nature of work, similar to how cars superseded horses.

Key Points: The speaker predicts that by 2026, 90% of code written by developers will be generated by AI like Claude and GPT. The speaker notes that current AI models already demonstrate a significant ability to perform tasks previously requiring human effort, such as generating reports and code. The speaker cites a tweet from an economist suggesting that AI's ability to generate novel thought is difficult, but the speaker disagrees, pointing out that this is where human intuition is still required. The speaker contrasts this with the current state, where AI is already writing 90% of code for some users, and notes that the bottleneck is shifting from execution to defining the correct problem. The speaker refers to the 'normalcy bias'—the human tendency to stick with what is known—as a barrier to accepting the rapid advancements in AI capabilities. The speaker concludes that the future of work will involve humans acting more as supervisors or directors, offloading cognitive heavy lifting to AI, similar to the transition from horses to automobiles.

Context: The speaker is discussing the accelerating pace of Artificial Intelligence development, specifically focusing on Large Language Models (LLMs) like Anthropic's Claude and OpenAI's GPT. The discussion centers on the speaker's prediction for 2026, where AI will dominate code generation, forcing a shift in human roles toward problem definition and high-level oversight, drawing analogies to historical technological displacements like the invention of the automobile.

Detailed Analysis

The speaker is conducting an experiment using only completely unedited video recordings to discuss predictions about the future of AI in 2026. The core argument revolves around the increasing capability of models like Claude and GPT, which the speaker believes will lead to a massive shift in developer roles. The speaker states that by 2026, 90% of a developer's code will be AI-generated, citing figures suggesting that 90% of Microsoft's code was AI-written by the end of the previous year. This capability is already leading to a 'spillover effect' where tools like Notebook LM and Claude can handle complex tasks like generating reports, infographics, and charts, freeing up human mental energy. The speaker refutes the idea (attributed to an economist and referencing phantom limb syndrome) that humans cannot generate truly novel thought, arguing that the hard part is shifting from execution to correct problem articulation and validation. The speaker concludes that this trend mirrors historical technological shifts, like the transition from horses to cars, where the infrastructure adapts to the new superior technology, making previous methods (like manually writing all code) obsolete.