Larridin
Coverage of Larridin in the Nexus archive.
- The next step in AI cost saving: treating frontier models like expensive consultants
AI consultants recommend using expensive frontier models for complex planning tasks and cheaper models for execution to optimize AI spending. This approach aims to improve ROI by reserving high-cost models for strategic work and delegating routine tasks to more affordable alternatives.
- Meet the coaches, measurers, and builders carving out a slice of the AI cost-saving business
New businesses like Oumi AI, Adaptovate, and Larridin are helping companies reduce AI costs by optimizing model usage and avoiding overreliance on expensive frontier AI systems. These firms provide consulting, measurement tools, and customized AI solutions to improve ROI for enterprises.
- AI is becoming a bargain hunter's market, with a few luxury models on top
AI token prices are fluctuating significantly, with commodity models becoming much cheaper while frontier models see price increases. Examples include DeepSeek's 2025 model causing a market repricing and OpenAI raising GPT-5.5 costs. Companies are shifting to metered pricing as AI usage grows, leading to higher spending on tokens despite uncertain productivity gains.
- Are you a consultant? Tell us how much you're spending on AI these days.
Consulting firms and their clients are reevaluating AI spending as costs rise, with companies like Amazon, Walmart, Uber, and Cisco expressing concerns over excessive expenses. Firms like KPMG and McKinsey are adopting AI tools but shifting toward strategic use, while Boston Consulting Group projects a significant increase in AI investment by 2026.