Notion’s AI-first product shift

- Notion is moving away from fixed roadmaps toward rapid, AI-driven feature sprints and leadership-driven idea sourcing. (forbes.com) - Forbes says Simon Last leads Notion’s AI efforts and small teams can ship features in days while larger groups work for months. (forbes.com) - The approach prioritises quick AI iteration sourced from leadership, whiteboards, customer emails, and social signals. (forbes.com)

Notion is remaking how it builds products around AI, swapping fixed roadmaps for faster feature sprints and looser idea pipelines. (forbes.com) Forbes reported on April 22 that Notion cofounder Simon Last is leading the company’s AI work, with small teams able to ship some features in days while larger groups still work on longer cycles measured in months. (forbes.com) The inputs are also changing. Forbes said ideas now come from leadership conversations, whiteboards, customer emails and social signals, rather than a single locked plan set quarters in advance. (forbes.com) That shift lines up with what Notion has been shipping. In May 2025, the company rolled out AI Meeting Notes, Enterprise Search and Research Mode as part of a broader push to turn Notion from a document tool into an AI workspace. (notion.com) Notion’s pricing now reflects that bet. Its Business plan is listed at $20 per member per month and includes Notion Agent, AI Meeting Notes and Enterprise Search beta, while the Enterprise tier adds controls such as zero data retention with large language model providers. (notion.com) By September 2025, Notion told CNBC it had crossed $500 million in annualized revenue, launched a customizable AI agent, and counted more than 100 million users. (cnbc.com) CNBC also reported that Notion had about 1,000 employees at the time and that cofounder Akshay Kothari said the company was doubling its sales team as enterprise demand for AI tools grew. (cnbc.com) The result is a company trying to match AI’s release tempo inside its own product process. Notion is selling a workplace tool that updates like AI software now moves: fast, iterative and tied closely to whatever users ask for next. (forbes.com)

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