tech
Life After Automation
Plus: One person running an engineering team of agents, what it costs to stay at the frontier, and the case for AI writing
TL;DR
- 100 AI leaders are sharing predictions on work after automation for the upcoming Thesis: 2027 conference.
- Specific predictions include AI's biggest problem being design, questions becoming more valuable than answers, and some hard problems solving themselves.
- Every's AI costs increased by 230 percent after a new GPT model was released, leading to a focus on parameters over strict policies for cost control.
- One person can now manage a team of specialized AI agents, functioning like a full engineering team.
- AI assistance in writing can significantly reduce the time required and increase the output of ideas.
- Workflows are being developed for using AI tools in editing and content creation.