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: 🧵[1/]
⭐️New Report⭐️
What's the current state of AI-related apprenticeships in 🇺🇸?
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/...
10/ 💬 Let’s keep the conversation going! How can we make apprenticeships a more effective tool for building a diverse, skilled AI workforce? Share your thoughts below. 👇 #AI #Apprenticeships #FutureOfWork
9/ 📚 Read the full report here to dive deeper into the data, trends, and policy implications for the future of AI workforce development: cset.georgetown.edu/publication/...
8/ 🔍 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.
7/ 💡 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.
6/ 📣 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.
5/ 🌍 These apprenticeships aren’t 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 aren’t among the U.S.’s most populous.
4/ ✅ Completion rates for AI-related apprenticeships are impressive: 68% of apprentices finish their programs—25% higher than the national average. These programs are helping workers gain in-demand skills and solidify a career path in tech.
3/ 📈 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 registered—highlighting a promising growth trajectory for nontraditional AI training pathways.
2/ 📊 Using data from the Department of Labor’s RAPIDS database (2013–2023), 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.
1/ 🚀 New report: The State of AI-Related Apprenticeships explores how apprenticeships are becoming a vital pathway for middle-skill workers in AI. As demand for AI talent grows, nontraditional training methods like apprenticeships are more important than ever. cset.georgetown.edu/publication/...
