The future of AI leadership requires thoughtful policy. @CSETGeorgetown just submitted our response to @NSF's RFI on the Development of an Artificial Intelligence Action Plan. Here's what we recommend: π§΅[1/]
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βοΈNew ReportβοΈ
What's the current state of AI-related apprenticeships in πΊπΈ?
CSET's @lukekoslosky.bsky.social and @jacob-feldgoise.bsky.social explore the rapid growth of these programs and describe the apprentices they serve: cset.georgetown.edu/publication/...
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10/ π¬ Letβs keep the conversation going! How can we make apprenticeships a more effective tool for building a diverse, skilled AI workforce? Share your thoughts below. π #AI #Apprenticeships #FutureOfWork
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8/ π Upskilling and reskilling through apprenticeships are critical to ensuring equitable access to AI-related jobs. Policymakers must continue supporting these pathways to expand opportunities and diversify the tech workforce.
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7/ π‘ Small- and medium-sized firms are increasingly using apprenticeships to recruit AI talent, but large sponsors still account for most programs. Broadening access requires more support for smaller organizations to offer these opportunities.
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6/ π£ Diversity matters: AI apprenticeships are outperforming other tech fields in recruiting Black apprentices. In 2022, the number of Black apprentices nearly equaled that of White apprentices. However, gaps persist for women and Hispanic workers.
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5/ π These apprenticeships arenβt just clustered in tech hubs. Programs are available in nearly every state, but Missouri, Texas, and California lead the way. Interestingly, 5 of the top 10 states arenβt among the U.S.βs most populous.
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4/ β
Completion rates for AI-related apprenticeships are impressive: 68% of apprentices finish their programsβ25% higher than the national average. These programs are helping workers gain in-demand skills and solidify a career path in tech.
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3/ π Key finding: AI-related apprenticeships surged by 191% from 2020 to 2022. From just a few programs in 2013, nearly 19,000 new apprentices have been registeredβhighlighting a promising growth trajectory for nontraditional AI training pathways.
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2/ π Using data from the Department of Laborβs RAPIDS database (2013β2023), we analyzed trends in AI-related apprenticeships: completions, demographics, locations, and program sponsors. Our dataset reveals how these programs are evolving to meet the needs of the AI workforce.
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Horizon Junior Fellow, Center for Security and Emerging Technology (CSET)
https://cset.georgetown.edu/staff/adrian-thinnyun/
@csetgeorgetown.bsky.social
cset.georgetown.edu | policy.ai
AI, national security, China. Part of the founding team at @csetgeorgetown.bsky.social⬠(opinions my own). Author of Rising Tide on substack: helentoner.substack.com
AI + competition policy @CSETGeorgetown | previously @NextgovFCW, eventually @UMichLaw
Research Analyst @ CSET Georgetown
UPenn Alum
Research Analyst @CSETGeorgetown | AI governance and safety | Views my own
deputy director of data science and research at @csetgeorgetown.bsky.socialβ¬
Host of Hardcore History. I do other stuff too. Find our (free) irregularity updated newsletter at https://dancarlin.substack.com
Website: www.dancarlin.com