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Discussion (30 Comments)Read Original on HackerNews
"Moreover, AI is helping offshore workers in the Philippines do new, more complex jobs. They are picking up work training AI models or supervising AI agents. Hospitals in America are increasingly outsourcing the checking of insurance eligibility and filing of medical records to Filipinos packing AI tools. Mr Gallimore says more “high-value” work, such as accountancy or engineering, is going offshore in part because “AI is a leveller. You can now teach someone complex stuff quickly” and still get it done more cheaply than in America or Europe. Some of this is done at so-called global capability centres, captive back offices that are booming in India and also now growing in the Philippines."
It seems like AI has incidentally commoditized the complement (procedural knowledge), and in turn created greater demand for inputs like human judgement and "empathy".
I think as well there is currently the following: AI still needs an operator, in the same way than a bulldozer needs a bulldozer operator. And like with bulldozer, there are always something that business stakeholder wanna dig, now that digging is faster.
So, insurance claims are handled by people who operate in different legal system and by unaccountable undererministic system. And people are pressured to perform fast.
This is not about "automating complex task". This is about "create accountability sink for fraud we want them to do and create system that will perform said fraud".
The only report that I know of that is available is the ICRIER report.
I haven’t read the report itself, but it’s supposed to show modest hiring growth.
Conversely I know that most of the outsourcing vendors are seeing reductions in headcount when it comes to outsourced tech operations.
And on the flipside a lot of AI vendor ideas like helping doctors turn voice transcripts into notes has just been annoying for the prospective user--they feel they may as well type it up themselves if they then have to review and correct the AI notes