Raw LLM Responses

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Not quite, I am currently doing consulting outside india, the businesses are adopting ai rapidly, 90% of my customers have 1 question, how to improve ops with ai, non of them ask how do they turn eveyrhing ai. The Analysis done is mind blowing. Most ops staff aren’t required( customer service, admin, filling ops officer ). Ai amplifies the output of each employee by 12x so now instead of hiring 25 they can work with 5( 2 to keep ops alive and 3 to give more benifits of flexibility, leave off etc, to all 5.). When it was implemented: the good employees get a 2x pay raise( those who understand how their work functions and come up with regular ops upgrade) while they also get 2x work flexibitily. Now the 5 who are left have greater job security as they are crucial for the constant upgrade of the ai system and know how “on the ground work” functions. Those staff cut are provided 8 months severance and training assistance to get another job. This example I am quoting is from an import export ( traditional business) and I implemented only because here 99% of gov ops is automated.
youtube 2023-09-20T06:2… ♥ 42
Coding Result
DimensionValue
Responsibilitynone
Reasoningconsequentialist
Policynone
Emotionapproval
Coded at2026-04-27T06:24:59.937377
Raw LLM Response
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