in 2024, 47% of AI solutions were built internally and 53% were purchased; today, 76% of all AI is purchased rather than developed in-house.
大多数人认为企业会越来越倾向于自主开发AI模型以保持竞争优势和控制权,但数据显示企业正迅速转向购买第三方AI解决方案。这一趋势与主流认知相悖,表明企业可能更看重快速部署和成本效益而非技术自主性。
in 2024, 47% of AI solutions were built internally and 53% were purchased; today, 76% of all AI is purchased rather than developed in-house.
大多数人认为企业会越来越倾向于自主开发AI模型以保持竞争优势和控制权,但数据显示企业正迅速转向购买第三方AI解决方案。这一趋势与主流认知相悖,表明企业可能更看重快速部署和成本效益而非技术自主性。
Within three to four months, you can run a model with similar performance on your laptop; 23 months later, you can run the same model on your phone.
大多数人认为前沿AI技术需要很长时间才能普及到消费级设备,但作者认为前沿模型只需3-4个月就能在笔记本上运行,23个月就能在手机上实现,这种技术下放的速度远超行业普遍预期。
Within ChatGPT Business and Enterprise, the number of Codex users has grown 6x since January.
大多数人可能认为企业AI工具的采用是渐进式的,但作者认为Codex在企业环境中的采用呈爆炸性增长(6倍增长),这表明AI编程助手可能比预期更快地从实验性工具转变为生产力核心,挑战了人们对AI技术企业采用速度的常规认知。
Silicon Valley has not demonstrated joined-up thinking for deploying AI.
insular again, in a different way
But won’t this stifle innovation, one might worry? Quite the opposite, we think. Europe's competitive advantage in AI is unlikely to arise from pouring hundreds of billions into building the largest foundational models. Instead, it will come from industrial adoption, effectively integrating GPAI into useful downstream applications–an approach that plays to Europe’s true strengths: rich data pools, world-class applied engineering capabilities and dynamic SMEs, which make up 99% of all businesses.
This is an interesting angle - ease of adoption when the tech is "boring", and reduced risk