This week on the Konvoy Newsletter audio edition, host Josh Chapman explores the tradeoffs between running AI locally on-device versus in the cloud. As the cost of inference has fallen 1,000x in just three years, developers and enterprises now face a strategic choice: prioritize privacy, control, and real-time performance with local AI — or embrace scalability, accessibility, and low entry costs in the cloud.From healthcare diagnostics to autonomous vehicles, from generative chatbots to fraud detection, the future of AI won’t be one-size-fits-all. Instead, it’s about matching infrastructure to use case — and increasingly, hybrid approaches like Apple’s “Private Cloud” are bridging the gap.What You’ll Learn in This Episode:• Why local AI is gaining traction after years of hardware and complexity barriers• The unique advantages of on-device inference: privacy, latency, and offline reliability• How cloud AI powers scalability, collaboration, and data-heavy applications• The hybrid strategies big tech players are adopting to balance both worlds• Which industries are best positioned for local AI vs. cloud AI adoption• The key tradeoffs between cost, control, and scale that every team must weighWhether you’re building AI-driven products, investing in next-gen infrastructure, or tracking how enterprises adopt new technologies, this episode unpacks the future of AI deployment — and what it means for both consumers and businesses.Love what you’re hearing?Subscribe to the Game Changers podcast on Spotify and Apple Podcasts.Want more insights like this every week?

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