OpenAI Unveils Dots Agent and GPT-6.1 Sol Model at DevDay 2026

OpenAI held its annual DevDay conference in San Francisco on September 29, 2026, marking a significant push into the autonomous agent space with the introduction of Dots. These persistent AI helpers are designed to execute complex tasks across thousands of supported applications, functioning as background assistants that evolve based on user habits. According to reporting reviewed by The Scale Report, Dots are powered by the GPT-6 Astra model and will be limited initially to paid tiers including ChatGPT Pro, Business Premium, and Enterprise.

Competitive Strategy and New Subscription Tiers

To better compete with rivals like the Muse AI platform from Meta, OpenAI is positioning Dots as a deeply integrated utility that can interact via voice or text across various interfaces. The Scale Report understands that while these agents are currently reserved for business and power users, Sarah Friar, the chief financial officer of OpenAI, indicated that the company aims to broaden access to its general consumer base. Alongside the launch, the organization debuted the GPT-6.1 Sol model and introduced a high-end $500 per month ChatGPT Pro plan featuring increased usage limits and access to an Ultrafast mode for the GPT-6 Astra model.

Operational Growth and Industry Pressure

These announcements arrive as OpenAI reports that ChatGPT has reached 1.2 billion weekly active users, a notable increase from the 1 billion milestone attained in July. Despite this growth, the company faces substantial public scrutiny. During the event at Fort Mason, activists organized by coalitions including the Tech Workers Coalition and the Service Employees International Union protested the firm's labor practices and its ICE contract.

Why It Matters

The pivot toward agentic software represents a critical shift in the artificial intelligence landscape as companies transition from simple chatbots to proactive digital assistants. By automating workflows across third-party apps, OpenAI is betting that user retention will depend on deep software integration, though this strategy introduces significant technical and security challenges regarding how these autonomous agents handle private data and external systems.