Maryland AI Strategy Faces Worker Uncertainty

Maryland Governor Wes Moore has admitted that state residents have valid reasons to worry about the impact of artificial intelligence on their livelihoods. However, his administration has not yet detailed specific measures to protect workers if AI begins to eliminate jobs. This gap leaves a significant tension between the state's push to become a tech leader and the uncertainty facing its workforce.

During a recent tour, Moore acknowledged public anxiety while emphasizing AI's potential to improve public safety, education, and health care. He stated that the public has not received adequate communication about the technology's implications. When pressed for a specific framework to limit job losses or trigger state intervention, Moore did not provide a clear plan, instead pointing to the need for general guardrails and community involvement.

Broad Agenda Lacks Specific Details

Moore’s administration has outlined a broad AI strategy that includes supporting workers and using the technology to enhance public services. In February, the governor described priorities focused on economic growth and workforce adaptation. The state has also established an AI Subcabinet and adopted a responsible AI policy for government agencies, signaling a structured approach to governance.

Despite these structural moves, the specific mechanisms for protecting workers remain undefined. The state’s 2025 roadmap called for analyzing which industries are most at risk over the next three to five years. While a target date for broader workforce recommendations has been set for December 2025, the lack of immediate, concrete thresholds for intervention leaves many questions unanswered for those in vulnerable sectors.

Preliminary Data Shows High Risk

A public research project by the Maryland State Innovation team estimated that nearly 40 percent of the state’s workforce is in occupations facing high AI automation risk. This placed Maryland at the top of the list among states in their analysis. The study used federal occupation data and large language models to assess whether AI could perform specific job tasks.

However, this figure should not be interpreted as a prediction that nearly 40 percent of jobs will disappear. The project explicitly describes itself as a preliminary investigation and notes that it measures task-level automation potential, not employer intent to cut positions. The distinction is crucial, as the ability of AI to perform a task does not automatically equate to the replacement of the human worker performing it.

Funding Training Without Clear Metrics

To address potential workforce shifts, Maryland has allocated funds for upskilling and reskilling programs. In July, the state awarded over one million dollars to organizations training nearly 600 people in sectors like life sciences, aerospace, and manufacturing. The governor also joined a national nonprofit initiative aimed at developing workforce systems for an AI-driven economy.

As chair of the National Governors Association, Moore is leading efforts to develop state policy models for AI. Reports indicate that a roadmap for governors on AI and the future of work is expected soon. According to GN technics/ai (en-US), these initiatives represent a significant investment in preparation, but they do not yet constitute a comprehensive safety net for workers facing immediate displacement.