OpenAI’s new ChatGPT Agent can control an entire computer and do tasks for you

OpenAI has launched ChatGPT Agent, an advanced AI tool designed to perform complex, multi-step tasks by controlling a 'virtual computer.' Leveraging a new model and combining capabilities from its existing Operator and Deep Research tools, the agent can automate diverse functions ranging from calendar management and planning to generating research reports. This release, rolling out to Pro, Plus, and Team users, signals OpenAI's intensified focus on the burgeoning AI agent market, a strategic move mirroring broader industry momentum seen with competitors like Anthropic and the demonstrated success of AI agents in enterprise applications like Klarna's customer service.

Analysis

OpenAI has intensified its strategic push into the AI agent market with the launch of ChatGPT Agent, a tool designed to automate complex, multi-step tasks by controlling a virtual computer. This product, powered by a new proprietary model, integrates capabilities from OpenAI's existing Operator and Deep Research tools to perform functions ranging from calendar management and travel planning to in-depth research report generation. The launch places OpenAI in direct competition with other major technology players, including Google (GOOGL), Amazon (AMZN), and Meta (META), all of which have publicly stated ambitions in the agentic AI space, as well as with specialized competitors like Anthropic. The commercial viability of such agents is underscored by the Klarna case study, where a similar AI handled tasks equivalent to 700 full-time employees, highlighting the technology's disruptive potential for enterprise productivity. While the product is positioned as a significant advancement, OpenAI is proceeding with caution, as indicated by its slow processing speed for complex tasks, the requirement for user permission before irreversible actions, and the current restriction on financial transactions.

Key Decisions for Investors

• Investors in publicly traded AI leaders like Google (GOOGL), Amazon (AMZN), and Meta (META) should view this launch as an acceleration of the competitive race in agentic AI, necessitating closer monitoring of their respective product roadmaps and R&D velocity in this specific area.
• The Klarna example, which demonstrated a productivity impact equivalent to 700 full-time employees, provides a tangible data point supporting the long-term investment thesis for AI's role in enterprise automation; this suggests a substantial total addressable market for the eventual winners in the AI agent space.
• The phased rollout to paid tiers and the current restrictions on sensitive actions like financial transactions indicate key milestones to watch; future announcements regarding enterprise adoption, pricing structures, and the easing of these restrictions will be critical signals for the technology's commercial maturity and monetization potential.