Beyond the Buzz: Developing the AI Skills Employers Actually Need

july 2025

Created by: Lightcast


New Lightcast Report: AI Skills Command 28% Salary Premium as Demand Shifts Beyond Tech Industry

A first-of-its-kind analysis from Lightcast reveals that AI skills are driving a 28% salary premium across a wide range of industries—not just in tech. The Beyond the Buzz report explores how this demand shift is reshaping workforce priorities and underscores the need for targeted training strategies that prepare workers in all sectors.

The report also highlights the growing urgency to embed equity into workforce systems as AI and automation disproportionately impact workers of color in roles such as customer service and administration. For workforce professionals and decision-makers, this report offers data-backed insights and a call to action: to build inclusive, future-ready job systems that prioritize both opportunity and equity.

KEY INSIGHTS

  • AI is transforming jobs across all industries—not just tech.

    How can workforce systems respond to the rising demand for AI-related skills while ensuring access for underrepresented communities?

    Lightcast data shows that AI-related job postings have surged in sectors like healthcare, finance, and manufacturing. However, access to these roles often requires credentials or training that many workers of color have historically been excluded from.

    Systems must expand on-ramps such as community college programs, employer-led training, and apprenticeships that focus on inclusion.

  • AI skills now command a 28% salary premium.


    The report identifies natural language processing, machine learning, and data analysis as top-value skills.

    Stackable credentials and short-term certification programs targeting entry-level and mid-career workers can help bridge the gap and democratize access to these higher-wage roles.

  • Automation is disproportionately impacting workers of color in administrative and customer service roles.

    Nearly 1 in 3 administrative jobs are at risk of automation, with Black and Latina workers overrepresented in those roles.

    Equitable design must prioritize those most affected, offering wraparound supports like childcare, stipends, and culturally relevant coaching alongside technical training.

  • How do we move beyond surface-level equity commitments to structural changes in program design, funding, and metrics of success?

    The report urges funders and workforce leaders to shift from outcome-only models to equity-centered evaluation.

    That means tracking not just placement, but advancement, retention, and wage growth—especially among historically marginalized populations.ription

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