OpenAI’s March 2026 $122 billion funding round at an $852 billion post-money valuation, backed by major investors like Amazon, Nvidia, and SoftBank, combined with rapid revenue growth to roughly $2 billion monthly from enterprise AI adoption and recent large language model releases such as GPT-5.6, underpins the 64.5% market-implied odds for reaching $1 trillion in 2026. Traders weigh these fundamentals against reports of a likely 2027 IPO to avoid sub-trillion pricing, alongside ongoing multibillion-dollar losses that highlight execution risks in scaling infrastructure. Near-term catalysts include additional model updates, revenue milestones, or any shift in listing timelines that could sway sentiment.
Résumé expérimental généré par IA à partir des données Polymarket. Ceci n'est pas un conseil de trading et ne joue aucun rôle dans la résolution de ce marché. · Mis à jourValorisation OpenAI $ 1T+ en 2026 ?
Oui
$26,930 Vol.
$26,930 Vol.
Oui
$26,930 Vol.
$26,930 Vol.
To qualify, the valuation must be explicitly confirmed by OpenAI or an overwhelming consensus of credible reporting.
The resolution source will be OpenAI’s official communications, however a consensus of credible reporting may also be used.
Marché ouvert : Jan 29, 2026, 3:34 PM ET
Resolver
0x65070BE91...To qualify, the valuation must be explicitly confirmed by OpenAI or an overwhelming consensus of credible reporting.
The resolution source will be OpenAI’s official communications, however a consensus of credible reporting may also be used.
Resolver
0x65070BE91...OpenAI’s March 2026 $122 billion funding round at an $852 billion post-money valuation, backed by major investors like Amazon, Nvidia, and SoftBank, combined with rapid revenue growth to roughly $2 billion monthly from enterprise AI adoption and recent large language model releases such as GPT-5.6, underpins the 64.5% market-implied odds for reaching $1 trillion in 2026. Traders weigh these fundamentals against reports of a likely 2027 IPO to avoid sub-trillion pricing, alongside ongoing multibillion-dollar losses that highlight execution risks in scaling infrastructure. Near-term catalysts include additional model updates, revenue milestones, or any shift in listing timelines that could sway sentiment.
Résumé expérimental généré par IA à partir des données Polymarket. Ceci n'est pas un conseil de trading et ne joue aucun rôle dans la résolution de ce marché. · Mis à jour



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