None
EN
The enterprise AI strategy that outlasts any single model
['.Wp-Block-Co-Authors-Plus-Coauthors.Is-Layout-Flow', 'Class', 'Wp-Block-Co-Authors-Plus', 'Display Inline', '.Wp-Block-Co-Authors-Plus-Avatar', 'Where Img', 'Height Auto Max-Width', 'Vertical-Align Bottom .Wp-Block-Co-Authors-Plus-Coauthors.Is-Layout-Flow .Wp-Block-Co-Authors-Plus-Avatar', 'Vertical-Align Middle .Wp-Block-Co-Authors-Plus-Avatar Is .Alignleft .Alignright', 'Display Table .Wp-Block-Co-Authors-Plus-Avatar.Aligncenter Display Table Margin-Inline Auto']
How I use AI to boost productivity and revenue | CIO
That’s exactly why betting on a single model is a dangerous strategy.
The most successful organizations won’t be those trying to guess tomorrow’s top-tier model, nor will they wait passively for future releases.
Instead, they will invest in underlying frameworks that continuously improve regardless of which specific AI model drives them.
Why betting on one AI model is a losing strategyOur strategy for AI, through recursive self-improvement (RSI), is rooted in this core principle.
Crucially, given RSI’s inherently compounding trajectory, it represents the most likely contender to be the approach that reaches superintelligence, no matter which model is used underneath.