Fordel Studios12 Graphs That Explain the State of AI in 2026
What Happened
The capabilities of leading AI models continue to accelerate and the largest AI companies, including OpenAI and Anthropic, are hurtling toward IPOs later this year. Yet resentment towards AI continues to simmer and in some cases has boiled over, especially in the United States, where local governmen
Fordel's Take
look, the whole IPO hype cycle is just burning through available compute and capital. those graphs about 2026 aren't about pure capability; they're about market saturation and institutional trust. the resentment you see isn't just FOMO; it's the realization that the hype machine is running on unsustainable energy and that the real value is locked behind proprietary data moats.
we're building exponentially better models, but the infrastructure costs are astronomical. openai and anthropic are positioning themselves for IPOs, which means massive regulatory scrutiny is coming. the real story isn't what the models can do, it's who controls the access and who pays the environmental bill for the training.
What To Do
focus investment on verifiable infrastructure and long-term sustainable compute solutions rather than just model performance benchmarks.
Builder's Brief
What Skeptics Say
Curated graph selections from AI-optimistic outlets flatten contradictory signals; capability acceleration metrics systematically ignore the widening gap between benchmark performance and real-world deployment outcomes. Twelve graphs chosen by an editorial team is curation, not analysis.
Cited By
React
Get the weekly AI digest
The stories that matter, with a builder's perspective. Every Thursday.