LLNL Briefs California Lawmakers on AI’s Economic Impact and Risks
A team from Lawrence Livermore National Laboratory (LLNL) has been informing California state legislators and business leaders about the opportunities and challenges presented by artificial intelligence (AI). The briefings underscore AI’s rapid development and increasing integration into society and the economy.
Growing Capabilities and Accelerating Risks
“Both its capabilities and its risks have been accelerating at a rapid pace. You can’t ignore it,” stated Caspar Donnison, an LLNL economist and member of the briefing team. The briefings were initiated at the request of the California Foundation for Commerce and Education (CFCE) and supported by the Livermore Lab Foundation (LLF).
CFCE, a nonprofit research organization affiliated with the California Chamber of Commerce, sought “scientists to aid provide objective, neutral information” to legislators grappling with AI-related legislation. LLNL was chosen as an impartial source of information, according to Donnison. “People who are listening to these briefings grasp that there is no sort of agenda here.”
Briefing Reach and “AI in Eight Pages” Report
To date, the LLNL team has briefed the Governor’s office, seven state legislators, a group of industry representatives, and the Tri Valley business community. A summary of their findings is available in a document titled “AI in Eight Pages,” accessible online at data-science.llnl.gov/sites/data_science/files/2026-01/ai-in-8-final_report_for_web.pdf.
How AI Works
AI allows computers to perform tasks that typically require human intelligence. Unlike traditional programming, AI systems recognize patterns in data, enabling them to make independent decisions or predictions.
AI’s Impact on the California Economy
The briefings emphasized AI’s potential impact on various sectors of the California economy, estimating benefits and risks. The “AI in Eight Pages” report charts nine economic sectors, outlining current and future AI applications.
Benefits include increased efficiency, faster and more accurate work, reduced repetition, fewer accidents, and lower costs. Other potential benefits include improved patient outcomes, smoother integration of renewable energy, and more personalized education programs.
Sectors heavily reliant on knowledge-based transactions are expected to benefit the most. These sectors contribute significantly to California’s gross domestic product (GDP) and employ higher-salaried workers. Financial activities (20% of state GDP), entertainment and information (15%), and professional and technical services (13%) lead this list.
Industries relying on manual labor, such as agriculture (2% of state GDP), are likely to see less benefit from AI. Similarly, education, which often features lower salaries and a demand for human interaction, may be less impacted.
“We’re not at the point where kids in the classroom are going to accept being told what to do by some AI robot,” Donnison said. “People prefer to have a human face, and someone who’s got compassion and empathy.”
Risks and Cautions
AI also presents risks, including high resource consumption (especially electricity and water for data centers), privacy concerns, data insecurity, potential job displacement, overreliance on AI in decision-making, and a lack of accountability.
Donnison expressed skepticism about predictions of widespread job losses due to AI in the near future. He noted that companies are generally proceeding cautiously, implementing pilot projects and closely monitoring AI systems before full-scale deployment.
“You can provide AI very clear data. You can give it very simple challenges, and you can monitor it. You can help train it…That’s very different to deploying it across the whole company,” he explained.
Legal and ethical considerations also contribute to this cautious approach. Companies are wary of potential legal ambiguities and ethical concerns surrounding AI’s autonomy, particularly regarding sensitive data like personal health information.