Reality: AI is boon to local job market

 

saeru, CC BY-SA 2.0, via Wikimedia Commons

 

Local Labor/left continues to scaremonger about AI's impact on jobs. Their claims are not supported by facts.

AI-related employment is surging

AI-linked roles have accounted for more than +750,000 new jobs created in the US since 2023, according to LinkedIn estimates. This surge has been led by data annotators, with +282,000 new positions created, followed by data center jobs at +117,000, and AI engineers at +105,000. As a result, these 3 categories have accounted for +504,000 new jobs. AI-related positions also offer significantly higher pay, with a median salary of ~$180,000 on LinkedIn, compared to $80,000 across all jobs. This comes as the rapid expansion of AI infrastructure, particularly the buildout of data centers, is driving stronger demand for labor.--Kobeissiletter on X

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Green concerns about data centers misplaced

Many politicians and local communities in the U.S. and Europe are organizing to prevent data centers from being built. While data centers impose some burden on local communities, most worries of their harm — such as CO2 emissions, driving up consumer electricity prices, and water use — have been inflated beyond reality, perhaps because many people don't trust AI.  Carbon emissions

Data-center operations account for around 1% of global emissions, though this is growing rapidly. At the same time, hyperscalers’ data centers are incredibly efficient for the work they do, and concentrating computation in data centers is far better for the environment than the alternative. On the key metric of PUE (total energy used by a facility divided by amount of energy used for compute; lower is better, with 1.0 being ideal), a typical enterprise on-prem facility might achieve 1.5-1.8, whereas leading hyperscalar data centers achieve a PUE of 1.2 or lower. Electricity prices 

One of the best studies I’ve seen, by Lawrence Berkeley National Laboratory, found that “state-level load growth … has tended to reduce average retail electricity prices.” If a consumer can split the costs of transmission cables with a large data center, then the consumer pays less. --Andrew NG on Linked In {edited for brevity}

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