Most businesses need a word processor, a spreadsheet, and some kind of database for managing employees and inventory. A 486 does that just fine.
Most businesses derive additional value from having more, but that's always an ROI calculation. ROI has two pieces: return, and investment. Basic business analytics (regressions, hard-coded rules, and similar) have high return on low investment. Successively complex models typically have exponentially-growing complexity in return for diminishing returns. At some point, there's a breakpoint, but that breakpoint varies for each business.
If the goal is to limit GPGPU to businesses whose core value-add is ML (the ones building things like Alexa), NVidia has done an amazing job. If the goal is to have GPGPU as common as x86, NVidia has failed.