Every’s consulting chief Natalia shares what she has learned from more than 100 companies trying to turn AI enthusiasm into durable operational change. The conversation follows a private-equity firm’s tailored investment-memo workflow and an AI project manager that combs through workplace data to run client engagements.

An entrepreneur describes using Claude Code to build bespoke tools for relationship counseling, email triage, personal styling and school logistics, often in hours rather than months. The conversation weighs AI’s creative liberation against a looming squeeze on software moats, white-collar work and business margins.

Oboe co-founder Nir Zicherman argues that AI learning tools need more than a chatbot’s quick answers: they need structure, multimodal lessons and the flexibility to keep learners moving toward a goal. The conversation ranges from personalized courses and the limits of LLMs to quantum mechanics, consciousness and what machines reveal about human knowledge.

Anthropic’s Claude Cowork recasts the AI chatbot as an asynchronous desktop agent, letting nontechnical users hand off browser research, document work and file tasks for longer runs. A live test of the research preview finds a promising, still-janky bridge between Claude chat and Claude Code, with its biggest questions centered on interface, permissions and trust.

Reid Hoffman sees 2026 as the year AI agents leave the coding terminal and enter the everyday machinery of work, running in parallel and coordinating longer tasks. He argues that companies will need to rethink meetings, planning, and creative labor while navigating an intensifying backlash against the technology.