Build direct employer-listening channels and AI-specific advisory structures for small and mid-sized firms¶

Strategy · All strategies
Evidence · no claims cited

Description¶

For districts and program administrators, the brief recommends building direct employer-listening channels for small and mid-sized firms, which dominate Heartland employment but are underrepresented in national adoption data. It further recommends creating employer advisory boards focused specifically on AI task tracking rather than general curriculum feedback, to catch adoption shifts before they appear in national surveys, and partnering with regional workforce boards and community colleges to pool labor market intelligence on shared data.

Design Implications¶

Context¶

Requirements¶

• Advisory boards focused specifically on AI task tracking, not general curriculum feedback

Constraints¶

• Most local employers are small and mid-sized firms that national surveys undercount and that lack resources to pilot new tools first

Target Learners¶

• CTE students in districts and programs serving Heartland small and mid-sized employer communities

Target Learning Goals¶

• Aligning CTE curricula with locally observed AI adoption shifts

Related Strategies¶

• Commission Heartland-specific AI adoption data collection covering agriculture and the smallest firms
• Engage industry partners to inform curriculum development, including the competencies needed, and develop new programs in response to employer input
• Build cultural competence and humility: engage and listen to communities before acting, using funded advisory boards and listening sessions

Examples¶

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Key Sources¶

• Jacobs, B. (2026, September). Task automation, worker augmentation: Opportunities for career and technical education in the heartland. Digital Promise. https://doi.org/10.51388/20.500.12265/317