Trader consensus around the 91% implied probability for "No" on OpenAI announcing AGI before 2027 stems primarily from the company's recent public statements and demonstrated progress, which emphasize advanced large language models and agents rather than confirmed general intelligence. As of mid-2026, releases such as GPT-5 variants have shown expert-level performance in coding, math, and reasoning benchmarks, yet fall short of AGI criteria like autonomous mastery across novel domains without human oversight. Leadership, including Sam Altman, has referenced knowing how to build AGI while shifting focus toward superintelligence, with timelines often extending into the late 2020s or beyond. Realistic challenges to this view include surprise capability jumps from next-generation scaling or internal breakthroughs announced at developer events, though historical delays and definitional debates around AGI continue to anchor market-implied odds.
Experimental AI-generated summary referencing Polymarket data. This is not trading advice and plays no role in how this market resolves. · Updated$94,554 Vol.
$94,554 Vol.
$94,554 Vol.
$94,554 Vol.
The primary resolution source for this market will be official information from OpenAI and/or its official representative, however a consensus of credible reporting will also be used.
Market Opened: Oct 28, 2025, 11:01 AM ET
Resolver
0x65070BE91...The primary resolution source for this market will be official information from OpenAI and/or its official representative, however a consensus of credible reporting will also be used.
Resolver
0x65070BE91...Trader consensus around the 91% implied probability for "No" on OpenAI announcing AGI before 2027 stems primarily from the company's recent public statements and demonstrated progress, which emphasize advanced large language models and agents rather than confirmed general intelligence. As of mid-2026, releases such as GPT-5 variants have shown expert-level performance in coding, math, and reasoning benchmarks, yet fall short of AGI criteria like autonomous mastery across novel domains without human oversight. Leadership, including Sam Altman, has referenced knowing how to build AGI while shifting focus toward superintelligence, with timelines often extending into the late 2020s or beyond. Realistic challenges to this view include surprise capability jumps from next-generation scaling or internal breakthroughs announced at developer events, though historical delays and definitional debates around AGI continue to anchor market-implied odds.
Experimental AI-generated summary referencing Polymarket data. This is not trading advice and plays no role in how this market resolves. · Updated



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