Rethinking the Human Loop: Is the final human decision on AI an illusion?
Why the idea of humans as the ultimate fail-safe in AI processes is crumbling, and how true control shifts from checking at the end to architecture at the beginning.
Why the idea of humans as the ultimate fail-safe in AI processes is crumbling, and how true control shifts from checking at the end to architecture at the beginning.
Are tech giants overbuilding AI data centers? Why the real risk might actually be building too little, given the fundamental shift towards agentic workflows.
Most AI business cases seem to pay off—until you realize the actual cost of replacing real workflows with frontier models. Here's why evaluating AI solely on a cost-reduction basis will fail.