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The Rise of AI Psychosis in Corporate Decision MakingBox founder Aaron Levie has identified a troubling trend in corporate America: what he calls "AI psychosis," where executives and decision-makers become so enamored with artificial intelligence that they believe it can replace human jobs without understanding what those roles truly entail. This overenthusiasm for AI is leading to significant workforce reductions and a growing backlash from both employees and users.Workforce Reductions Fueled by AI AmbitionThe consequences of this AI psychosis are already becoming apparent in the tech industry. Productivity software company ClickUp recently cut 22% of its workforce, citing a shift toward AI agents. This move is part of a larger trend where tech layoffs in 2026 are already nearly matching the total number of layoffs seen throughout all of 2025. These cuts suggest that companies are prioritizing AI implementation over human talent, often without fully understanding the implications.User Backlash Against Forced AI IntegrationWhile companies push AI solutions, users are increasingly resisting. DuckDuckGo has seen a surge in installations from users who want Google to stop forcing AI into search results and simply provide traditional links. This user backlash highlights a disconnect between corporate AI strategies and actual consumer preferences, suggesting that not all AI implementations are welcome or beneficial.The Duality of AI AdoptionAs TechCrunch's Equity podcast hosts discuss, both the AI-pilled (those enthusiastically embracing AI) and the AI-skeptical (those questioning its implementation) may have valid points. The challenge lies in finding a balance where AI augments human capabilities rather than replacing them entirely, and where technology serves actual needs rather than being implemented for its own sake.Future of Work in an AI-Driven EconomyAs AI continues to evolve, companies must develop more nuanced approaches to workforce planning and technology implementation. The current trend of replacing human workers with AI agents may prove shortsighted if it leads to decreased product quality, poor user experience, and loss of institutional knowledge. The future likely lies in hybrid models where AI and humans collaborate, each bringing their unique strengths to the workplace.

The Evolution of Notion's Workspace Notion, a productivity software maker, is stepping into the agentic era with a new developer platform that transforms its workspace into a hub for AI agents. This platform extends the capabilities of its custom AI agents, connects with external agents, and allows teams to build automated multistep workflows that can pull in data from any database. Overcoming Limitations with Orchestration Layer By building an orchestration layer — a system that coordinates AI work across multiple tools and data sources — Notion is positioning itself as more than a note-taker with AI features. Instead, it becomes a hub where people and agents can collaborate across tools and databases. This development addresses the limitations of its Custom Agents launched in February, which couldn't connect with external data or use custom logic. The Power of Notion's Developer Platform Deploy custom code with Notion's cloud-based environment, Workers, which allows teams to write logic and deploy it to a secure sandbox. Sync external data sources with the database sync feature, powered by Workers, which can pull in data from any database with an API. Build agent tools with custom logic using MCP (Model Context Protocol), an emerging standard for AI tools to connect to external data and services. Chat directly with external AI agents, assign them work, and track their progress, as if they were Notion's own custom agents. The Future of Notion and AI Collaboration The Notion Developer Platform represents a shift in strategy for Notion as it becomes more of a programmable platform than just an application. This move sets it up to compete with other workflow automation platforms and follows the broader trend among AI companies to offer agentic tools that can take actions across different software platforms. As businesses increasingly look to automate knowledge work and build internal AI systems, Notion's platform that ties together agents, custom code, and live data in one place becomes a crucial infrastructure.