Is the Future of Enterprise AI Local?
For the past couple of years, the standard approach to AI has been pure brute force: take the biggest, most expensive cloud-hosted frontier model you can get hold of and throw it at every single problem.
But this "one-size-fits-all" approach is not going to last forever. We are approaching a transition phase where the capabilities of local models will soon pass the threshold of "good enough," just as the growing costs of frontier models become impossible for businesses to ignore.
Here is why I believe the pendulum is about to swing firmly toward local, controlled hardware.
1. The Looming API Cost vs. Value Reality Check







