Proposes a new strategic framework to help California prepare workers and employers for jobs being reshaped by AI at the task level
SAN JOSE, Calif. — (July 13, 2026) — The Silicon Valley Leadership Group, in coordination with its Institute for California AI Policy (I-CAP) today released a groundbreaking new report outlining how California can build a nation-leading workforce as AI reshapes jobs across the economy.
The report, “California’s Workforce Advantage: Building a Precision Intelligence System,” argues that California has a defining opportunity to lead the next phase of workforce readiness, helping workers adapt, employers compete and public investments deliver greater impact.
“The goal is to make California the national model for strategic workforce investment by ensuring every dollar equips Californians with in-demand skills, helps employers meet evolving workforce needs, and strengthens the State’s competitive advantage in the age of AI,” said Ahmad Thomas, CEO of the Silicon Valley Leadership Group. “California already has the talent, institutions and innovation ecosystem to lead. By pairing those strengths with a precision workforce intelligence strategy, we can ensure AI strengthens economic competitiveness and promotes greater opportunity, creating lasting benefits for workers, employers and communities across the Golden State.”
The core challenge: AI is not changing work neatly by occupation. It is reshaping the tasks inside jobs, automating some, augmenting others and increasing the value of human capabilities such as judgment, communication, problem-solving, leadership and care.
A workforce strategy built around broad job categories misses where the labor market is actually moving. This distinction has practical consequences. The report considers a registered nurse and a software developer whose occupations may both be exposed to AI, but the workforce implications are very different. For nurses, AI will likely reduce administrative, scheduling and documentation burdens while increasing the value of patient-facing judgment and care. For software developers, some coding and testing tasks will likely become more AI-enabled while architecture, team leadership and stakeholder communication become more important.
The report urges California to lead with a task-level workforce strategy that can see how jobs are changing from the inside and translate that insight into better training, stronger employer partnerships and smarter public investment.
California has the assets needed to meet the moment: the world’s leading AI companies, the nation’s largest technology workforce, 45 local workforce development boards, 116 community colleges, nearly $1 billion in annual workforce investment, and major public data systems including CalJOBS, CareerZone, the Cradle-to-Career Data System, CTE LaunchBoard and the Career Passport initiative.
To put these assets to work, the report recommends that the State of California build a shared task-and-skill intelligence layer across existing workforce systems. Such a system would connect job postings, AI exposure research, employer skill demand, community college programs and public workforce data to help answer practical questions:
- Which tasks inside jobs are changing fastest?
- Which skills are gaining value?
- Which workers can move into more resilient roles with targeted training?
- Which community college programs should be updated first?
- Where should employers and public workforce institutions co-invest in new talent pipelines?
“This is not about building a new workforce system from scratch,” said Ziyang Fan, Executive Director of SVLG’s Institute for California AI Policy. “It is about giving California’s existing workforce system the intelligence it needs to respond to AI-driven opportunities with greater precision. When the state can see how tasks and skills are changing inside jobs, it can target training, partnerships and public investment much more effectively.”
There are several labor market signals that underscore the need for a more precise workforce strategy:
- California is already moving to track AI’s workforce impact in real time. Earlier this month, the state launched the California AI-Unemployment Tracker, a first-in-the-nation tool developed with the California Policy Lab to monitor potential AI-related job displacement and help policymakers identify where support, training and other interventions may be needed.
- The early data shows why precision matters. The tracker does not show evidence of a statewide surge in AI-related unemployment claims.
- The challenge extends beyond AI-specific jobs. AI is changing tasks inside existing occupations — from documentation and scheduling in health care to coding, testing and project coordination in software development — which means workforce planning must focus on how skills are changing inside jobs, not just whether occupations grow or decline.
- Entry-level pathways are shifting. In AI-exposed occupations, junior roles are increasingly requiring higher-order capabilities such as judgment, leadership, strategic thinking and the ability to work effectively with AI tools.
The report also benchmarks California against Washington, New York and Massachusetts, which offer useful models in real-time skill demand data, cross-agency coordination, sector-based training and AI literacy partnerships. SVLG argues that California can build on these examples and go further because of its unique combination of AI-native companies, community colleges, workforce investment, public data infrastructure and employer leadership.
For policymakers and workforce boards, the report recommends that California:
- Build a shared task-and-skill intelligence layer across existing workforce systems.
- Launch sector-based AI readiness pilots through community colleges.
- Establish shared data standards and open APIs so employers can access and contribute to workforce intelligence.
For employers, the report recommends that companies:
- Map how AI is changing work internally before making workforce redesign decisions.
- Invest in AI literacy across the workforce, not only for technical roles.
- Strengthen onboarding for AI-assisted work.
- Partner with public workforce institutions on curriculum, credentialing and talent pipelines.
The workforce report is the latest release in SVLG’s Future of Innovation Series, a series of thought-leadership pieces focused on helping California move from innovation leadership to practical implementation. The series began with SVLG’s local government AI assessment, which examined how cities and counties can use AI to improve public service delivery, and continued with an Agentic AI Glossary designed to help policymakers and civic stakeholders understand the next phase of AI deployment.
About the Future of Innovation Series
SVLG’s Future of Innovation Series is a set of thought-leadership reports and resources focused on helping California translate its innovation leadership into practical implementation. The series examines how emerging technologies can strengthen public institutions, prepare workers, support employers and advance California’s long-term competitiveness.
About the Silicon Valley Leadership Group
The Silicon Valley Leadership Group is a business association representing many of the world’s most innovative companies and working to advance policies that strengthen Silicon Valley’s economy, quality of life and competitiveness. SVLG partners with public, private and civic leaders to address the region’s most pressing challenges and ensure California remains a global leader in innovation.
About the Institute for California AI Policy
The Institute for California AI Policy (I-CAP) is an initiative housed at the Silicon Valley Leadership Group that works at the intersection of technology, policy and public impact to help California lead in the responsible development and deployment of artificial intelligence. The Institute advances research, policy analysis and cross-sector collaboration to ensure AI strengthens California’s competitiveness, communities and public institutions.
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