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‘How ‘tokenomics’ is forcing companies to rethink going all-in on AI
Baton Rouge Business Report • • business
Key Points:
- Many businesses initially encouraged widespread AI tool usage but soon faced high costs measured in tokens, prompting a shift toward cost control.
- Unlike cloud computing, AI lacks standardized pricing, transparent benchmarks, and accepted methods to measure value or ROI, complicating cost-benefit analysis.
- The emerging field of tokenomics studies how organizations manage AI resource purchasing and optimization, while industry groups work to create pricing and performance standards.
- Companies use monitoring tools to track token spending against business outcomes and experiment with comparing AI costs to employee labor to assess combined productivity.
- Uncertainty remains about AI's long-term economic impact due to variable token prices, limited AI deployment expertise, and insufficient data on AI spending and performance.
