OpenAI says most research is already aimed at GPT-7 and beyond
2 sources · The Decoder- Boom: 80 to 90 percent of OpenAI's research targets GPT-7, GPT-8, and future models
- Neutral: Boris Power, Head of Applied Research, made the disclosure on September 27, 2026
- Neutral: Within-generation model improvements are classified as short-term bets, not core research
- Doom: Power says low user awareness of AI capabilities is a bigger problem than model performance
The story in full
Boris Power, OpenAI's Head of Applied Research, stated on September 27, 2026 that 80 to 90 percent of the company's research is directed at GPT-7, GPT-8, and future models. Improvements made within a single model generation are treated as intentionally short-term bets rather than core research priorities.
Power identified user awareness, not model performance, as the more pressing challenge, saying most users do not know what they can currently do with AI. The remarks place the bulk of OpenAI's research effort several model generations ahead of its publicly released products.
Analysis
333 wordsOn September 27, 2026, Boris Power, OpenAI's Head of Applied Research, disclosed that 80 to 90 percent of the company's research is already directed at GPT-7, GPT-8, and models further out. He described improvements made within a single model generation as intentionally short-term bets rather than primary research commitments, meaning the bulk of OpenAI's scientific effort sits several product cycles ahead of anything currently available to the public.
The disclosure matters because it reframes how OpenAI presents the pace of its ambitions. The gap between what OpenAI is publicly releasing and what its researchers are already building toward is, by Power's own account, at least two full model generations wide. Power also shifted attention away from raw capability, arguing that low user awareness of existing AI tools is a more pressing problem than model performance itself. That claim is notable because it turns the usual framing on its head: rather than faster models being the bottleneck, Power suggests adoption and understanding are.
No reactions from the Pro-AI, Anti-AI, or Middle Ground camps have been published yet. Pro-AI voices would typically treat this kind of disclosure as evidence of a healthy and ambitious research pipeline, pointing to the long planning horizons as a sign of organizational maturity. Anti-AI voices would likely raise concerns about the pace of development outstripping safety work, questioning whether research aimed at GPT-8 and beyond is moving faster than the governance structures meant to oversee it. Middle Ground observers would probably focus on Power's user awareness point, arguing it exposes a widening gap between frontier AI development and meaningful public engagement with the technology.
The argument Power's remarks open up will be shaped by what OpenAI shows when GPT-7 eventually arrives, particularly whether its release is accompanied by transparency about the safety and alignment research that ran alongside the capability work. Any concrete timelines or further disclosures from OpenAI leadership about the GPT-7 development schedule would give observers a clearer basis for evaluating how these research priorities translate into products.
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