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Ethan Mollick: The chatbot era is ending, and work is shifting to managing agents
Ethan Mollick argues that, as the length of tasks AI can complete autonomously keeps lengthening, the mainstream usage is shifting from collaborating with chatbots to handing work over to agents. Citing benchmarks such as METR, the UK AI Safety Institute, and GDPval, he says capabilities are improving faster than exponential growth; Epoch found that Opus 4.7 worked autonomously for 14 hours to complete a software package that would originally have required 2-17 weeks of human engineering, at a cost of $251 in tokens. He also mentions that joint research by OpenAI and academics shows that within OpenAI, non-technical roles such as legal and HR are adopting agents at a pace close to that of programmers, with a quarter of employees running at least four agents simultaneously each week.
Ethan Mollick argues that, as the length of tasks AI can complete autonomously keeps lengthening, the mainstream usage is shifting from collaborating with chatbots to handing work over to agents. Citing benchmarks such as METR, the UK AI Safety Institute, and GDPval, he says capabilities are improving faster than exponential growth; Epoch found that Opus 4.7 worked autonomously for 14 hours to complete a software package that would originally have required 2-17 weeks of human engineering, at a c
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Claude Dispatch and the Interface Debate: Why the Chat Window Is Not the Right Way to Get Work Done with AI
Ethan Mollick argues that AI's capabilities have long outstripped how most people use it, and that the bottleneck is the chat window interface itself. He cites a study noting that when finance staff used GPT-4o for valuation tasks, they saw productivity gains, but these were offset by the cognitive burden of long blocks of text and meandering topics, with less experienced employees affected the most. Using Anthropic's Claude Cowork and Dispatch as examples, he shows that messaging an agent on your desktop from your phone and having it read your calendar and email and edit PowerPoint charts is closer to collaborating with an assistant than a chat window is; he also mentions that OpenClaw became the fastest-growing open-source project by relying on familiar entry points like WhatsApp, but it is hard to use and carries high security risks. He further notes that Claude can already generate interactive visualizations within a conversation, and argues that the future is not a unified interface but AI generating interfaces on demand for the task at hand.
Ethan Mollick argues that AI's capabilities have long outstripped how most people use it, and that the bottleneck is the chat window interface itself. He cites a study noting that when finance staff used GPT-4o for valuation tasks, they saw productivity gains, but these were offset by the cognitive burden of long blocks of text and meandering topics, with less experienced employees affected the most. Using Anthropic's Claude Cowork and Dispatch as examples, he shows that messaging an agent on yo
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