Last week, SVLG convened more than 50 leaders across technology, healthcare, advanced manufacturing, and higher education as part of its Future-Ready Workforce Task Force, an employer-driven effort focused on one of the most urgent questions of our time: how to prepare the workforce for an AI-enabled economy.
The discussion made clear that this shift is no longer theoretical. Organizations are moving rapidly from piloting AI tools to embedding them into daily work, with implications for productivity, competitiveness, and the long-term alignment between workforce systems and industry demand.
At the center of the conversation was a shared recognition that employers are navigating this transition along two parallel tracks. First, how to upskill and reskill incumbent workers as AI reshapes tasks. Second, how to build new talent pipelines, from entry-level roles to middle-skill and technical positions, where demand is growing alongside investments in both digital and physical infrastructure.
A Distinct, Employer-Led Approach
The structure of SVLG’s Future-Ready Workforce Task Force reflects that dual challenge. It convenes corporate leaders from HR, Learning and Development, and AI strategy with government relations professionals who help translate these changes into policy. In doing so, it operates as a working forum where companies can benchmark approaches, exchange emerging best practices, and identify challenges that remain unresolved.
The goal: help employers navigate the AI workforce transition in real time, and ensure those insights help shape how California’s talent and policy systems evolve.
SVLG is uniquely positioned to convene this work.
The Future-Ready Workforce Task Force brings together SVLG’s workforce development, Technology and Innovation, and policy leadership through the Institute for California AI Policy into a single, coordinated effort. Through initiatives such as the Bay Area K–16 Collaborative, AI curriculum development with community colleges, and ICAP’s engagement with state leaders, SVLG connects employer insight directly to the systems that shape workforce and policy outcomes.
What Employers Are Seeing
Building on that foundation, the conversation at last week’s convening focused on how the AI workforce shift is unfolding inside organizations, with leaders across industry sectors and business units underscoring its complexity.
Ranjit Vidhani, Head of AI Strategy at Flex, highlighted the gap between rapid advancement in AI capabilities and industry adoption. “AI is moving fast, but most organizations are struggling to keep up. Without the right data foundations and a rethink of how people work and adapt, the full value of AI is difficult to realize.”
Jennifer Hernandez, Community Relations Manager at IBM, emphasized that many of the most significant changes are cultural, as organizations rethink how work is structured and how employees adapt to new tools. She also pointed to a parallel shift in talent strategy: as entry-level roles evolve, companies are prioritizing skills over degrees and investing in reskilling efforts that extend beyond their own workforce into education systems.
And Mike Berman, Director of Workforce Development at AWS, pointed to the growing demand for talent supporting the physical layer of the AI economy, from data centers to electrical infrastructure. He emphasized the need to broaden awareness of these career pathways and align training with employer demand.
Together, these perspectives highlight that the AI workforce transition is as much about rethinking work, talent, and training systems as it is about technology itself.
Key Themes
These observations point to several themes that will shape the group’s work going forward:
- Expanding middle-skill pathways. Demand is increasing for technical and operational roles tied to infrastructure and AI-enabled systems, creating opportunities to strengthen training and career pathways in these fields.
- Evolving task composition. AI is reshaping how work is performed, elevating the importance of judgment, communication, and domain expertise.
- Scaling adoption. Organizations are developing approaches to guide AI use, share best practices, and integrate tools across functions.
- Strengthening technical foundations. Core skills in science, engineering, and problem-solving continue to anchor effective use of AI tools.
From Insight to Action
The Task Force is designed to translate these insights into practical outputs that support employers and guide workforce development efforts, including employer-led frameworks for AI-driven skills, public-private training partnerships, and targeted convenings. It will also inform policy conversations. California Labor Secretary Stewart Knox will join the next task force meeting on May 20, creating an opportunity to share employer perspectives with state leadership.
The cross-sector approach of the Future-Ready Workforce Task Force reflects a growing recognition that no single institution or sector can navigate this transition alone. Employers are redefining work in real time, education partners are adapting training and credentialing systems, and policymakers are working to understand the implications for economic mobility and competitiveness. Bringing these perspectives into closer alignment will be essential to keeping pace with the speed of change and to ensuring that California continues to lead as the global center of innovation today and in the future.
