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“The story of automation in the US is that it has mostly impacted on manual workers in manufacturing. For example, factory employees — such as carmakers — performing routine tasks have lost their jobs to robots — or lower-cost Asian competitors.

#IndustrialAutomation has tended to affect lower-skilled, #BlueCollar jobs in the “#rustbelt” heartlands and small-town, less-educated communities in the south and midwest.

But a recent study from the #BrookingsInstitution suggests that the communities most exposed to AI-driven job dislocation will be #WhiteCollar information workers. The researchers studied the usage of #OpenAI’s #GenerativeAI tools across more than 1,000 occupations and mapped this against where those jobs were most commonly located.

Their analysis suggests that many #coders, #lawyers, #FinancialAnalysts and #bureaucrats in cities such as San Jose, San Francisco, Durham, New York and Washington DC might want to rethink their futures. But #NonOffice-bound #workers in places such as Las Vegas, Toledo, Ohio and Fort Wayne, Indiana may be less exposed to AI disruption.”

My observation since 2022 when #ChristopherHohn an influential shareholder decided to *speak out* about “reducing its head count and paying (hi-tech) workers less”. [1]

This is the decade where extreme (cost) pressure will be forced on White collar workers by the introduction of AI.

<https://archive.md/YqF03> / <https://www.ft.com/content/04343a69-8204-493c-b8c6-edfbd4057199> (paywall)

[1] <https://www.forbes.com/sites/jonathanponciano/2022/11/15/billionaire-hedge-fund-investor-urges-alphabet-to-cut-costs-no-justification-for-salaries-that-are-too-high/>