OpenAI comes up with five levels to track its progress toward AGI: Chatbots, Reasoners, Agents, Innovators, and Organizations, and says it's nearly at Level 2
The company believes its technology is approaching the second level of five on the path to artificial general intelligence
Context & Ripple Effects
OpenAI had already framed ChatGPT and GPT-4 as steps toward AGI in a longer AGI-building strategy, while DeepMind researchers had separately proposed their own five-level taxonomy for describing progress. OpenAI’s framework makes that race legible through product- and capability-oriented stages rather than a single, disputed AGI threshold.
The Level 2 claim also lands alongside reports that OpenAI was preparing capabilities with stronger logical reasoning and multimodal understanding. It turns an internal ambition into a public benchmark against which subsequent model releases can be judged.
First-order effects
- OpenAI gains a concrete vocabulary for positioning current and future models: near-“Reasoner” rather than merely a chatbot, without claiming AGI has arrived.
- Customers, developers, and investors get a stated capability milestone to use when interpreting OpenAI’s product claims and road map.
Second-order effects
- Rival labs face added pressure to define comparable progress measures or explain why their models should be evaluated differently; DeepMind’s earlier five-level AGI taxonomy provides one competing reference point.
- The framing raises the value of evaluations that distinguish reliable reasoning from fluent conversation, since OpenAI’s claimed advance depends on that distinction being credible.
Third-order effects
- If major labs standardize staged AGI narratives, competition may shift from headline model launches toward contested benchmarks, safety evidence, and proof that systems can operate beyond chat interfaces.
- Public milestone-setting can also intensify scrutiny of governance commitments: OpenAI had previously described precautions for a successful AGI outcome, making capability claims inseparable from questions about how increasingly autonomous systems are controlled.
The trend: AI labs are replacing the binary question of whether AGI exists with staged capability frameworks that shape product positioning, evaluation, and governance debates.