Opinion: Community Colleges Can't Wait on AI — They Must Lead It

Artificial intelligence is no longer a distant disruptor. It's already reshaping how we teach, learn and prepare students for tomorrow's workforce. For community colleges, the question isn't if we adopt AI — it's how we lead its adoption effectively and responsibly.

Community colleges should make AI a strategic priority, not just because the technology is exciting, but because the people we serve — mid-career professionals, upskilling adults and first-generation students — can't afford to be left behind.

THE WORKFORCE SHIFT IS ALREADY HERE

According to the World Economic Forum's Future of Jobs Report in 2023, 44 percent of the global workforce will need reskilling due to AI by 2027. A January 2025 report from McKinsey found that 92 percent of companies plan to increase their AI investments in the next three years. These aren't theoretical trends. They are active shifts that require immediate response from education providers.

Community colleges are built for this kind of responsiveness. Our strength lies in adaptability and connection to local industry. However, leading the AI conversation means doing more than reacting to technology. It means setting clear strategies and building intentional pathways.

AI IN PRACTICE: MORE THAN AUTOMATION

AI isn't just about automation — it's about augmentation:

• Instructors are using AI to build more inclusive curricula and streamline administrative tasks.
• Predictive analytics help advisers intervene earlier with students who may be struggling.
• AI tutoring tools adapt to different learning styles and support students on demand.

This kind of transformation supports, rather than replaces, educators.
 

A COMMUNITY COLLEGE AI PLAYBOOK

If we want to move from passive adoption to intentional leadership, we need a plan. Here's what that looks like:

1. Start with AI literacy. Ensure everyone — faculty, staff, students — has a baseline understanding of what AI is, how it works and how to use it responsibly.
2. Invest in training, not just tools. The best AI tools won't succeed without confident users. Faculty development needs to be ongoing, collaborative and practical.
3. Build strong data governance. Student data privacy and ethical AI use must be non-negotiables. We can't afford shortcuts here.
4. Encourage pilots, then scale fast. Test new tools in targeted programs. Learn what works, share results and scale intentionally. This helps build trust and evidence-based momentum.
5. Leverage statewide collaboration. Community colleges shouldn't compete regarding AI infrastructure or best practices. Organizations like the Oregon Community College Association offer a platform for resource sharing and collective learning.

LEADING THE CHANGE MEANS OWNING IT

The risks around AI — bias, misinformation, privacy — are real. But so are the risks of doing nothing. As institutions tasked with preparing students for an evolving workforce, we must model responsible AI integration from the top down.

Leadership in this space isn't about predicting the future. It's about shaping it. Community colleges can — and should — lead the way.

AI won't replace educators. But educators who know how to use AI will define the future of learning.

Saby Waraich is the chief information officer of Clackamas Community College in Oregon.