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    Home»News»At $250 million, top AI salaries dwarf those of the Manhattan Project and the Space Race
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    At $250 million, top AI salaries dwarf those of the Manhattan Project and the Space Race

    Editor Times FeaturedBy Editor Times FeaturedAugust 3, 2025No Comments3 Mins Read
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    Even Area Race salaries have been far cheaper

    The Apollo program gives one other placing comparability. Neil Armstrong, the primary human to stroll on the moon, earned about $27,000 yearly—roughly $244,639 in at the moment’s cash. His crewmates Buzz Aldrin and Michael Collins made even much less, incomes the equal of $168,737 and $155,373, respectively, in at the moment’s {dollars}. Present NASA astronauts earn between $104,898 and $161,141 per 12 months. Meta’s AI researcher will make extra in three days than Armstrong made in a 12 months for taking “one big leap for mankind.”

    The engineers who designed the rockets and mission management methods for the Apollo program additionally earned modest salaries by trendy requirements. A 1970 NASA technical report supplies a window into these earnings by analyzing wage knowledge for the whole engineering occupation. The report, which used knowledge from the Engineering Manpower Fee, famous that these industry-wide wage curves corresponded on to the federal government’s Normal Schedule (GS) pay scale on which NASA’s personal staff have been paid.

    Based on a chart within the 1970 report, a newly graduated engineer in 1966 began with an annual wage of between $8,500 and $10,000 (about $84,622 to $99,555 at the moment). A typical engineer with a decade of expertise earned round $17,000 yearly ($169,244 at the moment). Even probably the most elite, top-performing engineers with 20 years of expertise peaked at a wage of round $278,000 per 12 months in at the moment’s {dollars}—a sum {that a} prime AI researcher like Deitke can now earn in only a few days.

    Why the AI expertise market is totally different


    Credit score:

    Boris Zhitkov via Getty Images


    This is not the primary time technical expertise has commanded premium costs. In 2012, after three College of Toronto lecturers revealed AI analysis, they auctioned themselves to Google for $44 million (about $62.6 million in at the moment’s {dollars}). By 2014, a Microsoft government was evaluating AI researcher salaries to NFL quarterback contracts. However at the moment’s numbers dwarf even these precedents.

    A number of components explain this unprecedented compensation explosion. We’re in a brand new realm of business wealth focus unseen for the reason that Gilded Age of the late nineteenth century. In contrast to earlier scientific endeavors, at the moment’s AI race options a number of firms with trillion-dollar valuations competing for a particularly restricted expertise pool. Solely a small variety of researchers have the particular experience wanted to work on probably the most succesful AI methods, significantly in areas like multimodal AI, which Deitke makes a speciality of. And AI hype is at the moment off the charts as “the following large factor” in expertise.



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