Runaway Token Costs Are Killing the Frontier AI Monolith
Futurum analyst Brad Shimmin breaks down the economic breaking point of cloud APIs and why enterprise AI is shifting to highly quantized, sovereign open-weights models.
Analyst Insights
Research notes and analysis from the Futurum practice areas.
4 results
Practice area
Company
Analyst
Terrestrial Data Centers Are Getting Expensive Enough to Make Space Cheap
Futurum’s Brendan Burke on why a third of the $3 trillion AI data center buildout goes off-grid by 2030, and what launch, satellite hardware, and solar density must do before orbit competes on cost. From Above the Line with Shay Boloor.
The End of Token Maxing: Why Pragmatic AI Engineering is Replacing Frontier Models
Futurum analysts Brad Shimmin and Guy Currier discuss how Tokenomics and AI FinOps are forcing enterprises to abandon massive frontier models in favor of smaller, domain-specific AI endpoints governed by strict agent control planes. Utilizing AI – Ep.
The Data Foundation Problem: Why “Bring AI to Your Data” Beats the AI Data Lake
OpenText’s Waqas Ahmed and Futurum’s Keith Kirkpatrick on why the fastest AI pilots fail for a data-governance reason nobody names in the demo. From Utilizing AI, “Trusted Data Foundations for AI Applications.”