Why most AI programs stall and how to scale them

Most AI programs stall due to architectural bottlenecks and data limitations. Scaling them requires improved infrastructure, larger datasets, and more efficient algorithms. The author outlines specific technical and organizational changes needed to overcome these barriers and achieve meaningful growth.