This listing may be outdated. Verify details at the official source before applying.

ActiveState of California · 2026

Workforce Accelerator Fund

Quick Facts

Agency: State of California
Funding: $3 million (total program amount)
Deadline: Check Source
Status: Active
Eligibility: Review official notice for complete eligibility requirements.

About This Grant

This fund supports career pathways in quantum and fusion technologies, including routes that do not require a four-year degree.

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Eligibility Requirements

Review official notice for complete eligibility requirements.

Frequently Asked Questions

Who can apply for Workforce Accelerator Fund?

According to the current listing, eligibility includes: Review official notice for complete eligibility requirements. Confirm the full requirements in the official notice before applying.

How much funding does Workforce Accelerator Fund offer?

The current listing shows $3 million (total program amount). Verify award ceilings, matching requirements, and allowable costs in the official notice.

Who funds Workforce Accelerator Fund?

Workforce Accelerator Fund is funded by State of California. Verify program details on the funder's official page before applying.

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Virginia Department of Education (established under Code of Virginia Section 22.1-20.2:1)

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Virginia AIS Innovation in Education Pilot Program for School Division Grants Piloting AI Instruction, Tutoring, Student Engagement and Teacher Support

Virginia has established the AIS Innovation in Education Pilot Program in statute at Code of Virginia Section 22.1-20.2:1, directing the Department of Education to fund, evaluate and scale safe and innovative uses of artificial intelligence systems in public elementary and secondary schools. The programme supports school divisions piloting AI applications across five named uses: instruction, tutoring, student engagement, operational efficiency and teacher support. Two statutory requirements give the programme more analytical weight than a typical technology pilot fund. Every selected division must include professional development for educators on AI literacy and responsible use, and every division must develop and submit an evaluation plan measuring the impact of AI use on student learning, teacher workload and equity outcomes. The explicit inclusion of teacher workload as a measured outcome is notable, since it treats staff time as a primary rather than incidental effect of classroom AI. The Department is directed to prioritise proposals from divisions serving diverse student populations, including high-poverty, rural and under-resourced divisions. The programme is supported by 2,000,000 dollars in the FY2027 to FY2028 budget and expires 1 July 2030, giving it a defined four-cycle life. School divisions or consortia apply competitively by 1 August each year, with annual reports required to legislative committees.

The programme is supported by 2,000,000 US dollars in the Virginia FY2027 to FY2028 biennial budget. The enabling statute at Code of Virginia Section 22.1-20.2:1 establishes the programme but states no per-award amount, floor or ceiling, so amount_min and amount_max are both recorded as 2,000,000, which is the appropriation rather than an individual grant size. This is the single most important caveat on this record: an applying school division should not budget 2,000,000 dollars. The actual award size will be set by the Department of Education in its grant guidance and will depend on how many divisions are funded, and comparable state AI-in-education pilots have made awards in the tens of thousands of dollars, with New Jersey's Artificial Intelligence Innovation in Education Grant awarding up to 75,000 dollars across roughly ten recipients from 750,000 dollars. If Virginia follows a similar pattern, awards from a 2,000,000 dollar biennial appropriation could fall anywhere from roughly 50,000 to 200,000 dollars depending on cohort size, but this is inference rather than published guidance. Divisions should also note the appropriation is biennial, so it covers two application rounds rather than one, and that the statute permits consortium applications, which is the route to a larger effective budget for a small or rural division.Deadline: Aug 1, 2027

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Maryland Manufacturing 4.0 (M4.0) Grant Program for Artificial Intelligence, Robotics and Industry 4.0 Technology Adoption by Small and Mid-Sized Manufacturers

The Maryland Manufacturing 4.0 (M4.0) Grant Program, run by the Maryland Department of Commerce through the state's Industry 4.0 Technology Grant Fund, awards 25,000 to 500,000 US dollars to Maryland manufacturers adopting Industry 4.0 technologies, with artificial intelligence, big data analytics, robotics and autonomous equipment, advanced sensors, cloud computing, cybersecurity, embedded software, ERP systems and supply chain data integration all named as eligible investments. It is one of the clearest examples of a state-level AI adoption subsidy aimed at firms rather than researchers: the money buys deployed capability on a real production line, not a prototype or a paper. The grant covers up to 75 percent of project costs for manufacturers with 3 to 50 employees and up to 50 percent for those with 51 to 250, so a serious application is really a capital commitment decision by the applicant. A distinctive procedural requirement is that applicants must complete a CESMII technology assessment before applying, which functions as a free diagnostic and in practice shapes the project scope; firms that treat the assessment as a box to tick rather than as the design stage of their proposal tend to produce weaker applications. The most recent application window opened 3 August 2026 and closed 31 August 2026 with approximately 2,000,000 US dollars available, and the Department of Commerce indicates the next window is expected to open on or about 2 August 2027. The one-month window is short, and because the CESMII assessment must be completed beforehand, preparation realistically has to begin in the spring preceding the round.

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