Conference Presentation, Other
The Real Edge in Production AI | Retainna Lin, Bitdeer AI | RAISE Summit 2026
- Enterprise generative AI spending is projected to rise from $11.5 billion to $37 billion, with AI adoption reaching 88% of businesses within at least one function.
- Software Engineering Bench verified real software issue reporting by AI is expected to increase to nearly 100%, while agent adoption on the OS is forecasted to grow from 12% to 66%.
- Most AI companies are likely to invest billions over several years to build proprietary infrastructure, risking a transformation into data center operators that diverges from their core business.
- Winners in the AI market will be those who control cost per outcome and reflect these metrics in their P&L, as production AI success depends on the efficiency of converting AI into tangible results.
- The company operates with 3 gigawatts of power capacity and plans to service the APAC, Norway, and North America regions from its Singapore headquarters.
- Strategic offerings include on-demand and subscribed GPU compute for training and inference, alongside a serverless inference layer named Model Studio designed to convert compute into results.
- A third-party partnership model is positioned as the key unlock for AI native companies, allowing them to avoid value leakage associated with stitching together multi-vendor stacks where no single entity owns the outcome economy.
- AI adoption faces constraints related to enterprise and sovereign demand dictating operational locations, alongside the necessity for providers to own power, land, and data centers to prevent value loss.