Your staff are already using artificial intelligence. Your clients certainly are. So, how are you using this to your advantage? Will benign neglect leave you at risk? Are you leading how it changes your organization and your community?
AI has moved from experiment to everyday practice. Staff can readily use available tools to draft reports, summarize documents, analyze data, prepare presentations, research prospects, and personalize communications. They can often do it without your permission or without formal organizational recognition.
That should get the attention of every economic development organization leader. Yes, it offers massive possibilities for productivity improvements. It also offers frightening opportunities for mishaps that will permanently damage your street cred.
As CREC argues in our new white paper, Harnessing Artificial Intelligence to Transform the Economic Development Ecosystem, AI can greatly extend what an EDO can accomplish. It can also expose confidential information, produce convincing but inaccurate analysis, create contractual problems, and undermine the credibility that economic development organizations have spent years building.
The leadership challenge is not to stop AI. It is to use it well.
What’s Your Strategy for Adoption?
AI adoption isn’t really a technology decision. Which platform should we buy? Who needs a license? Should staff take a prompt-writing course?
Those questions matter, but they miss the larger opportunity.
The organizations that benefit most from AI will redesign how they work. Buying an AI tool and asking it to perform yesterday’s tasks a little faster will produce some efficiencies. However, the larger gains come when organizations ask a different question:
What could we now do better, faster, or at a scale that was previously impossible?
An EDO might personalize business retention outreach across hundreds of companies. It might analyze complex labor market information faster. It might conduct deeper due diligence on potential projects. It might automate routine administrative work so staff spend more time with employers and partners.
The advantage comes from redesigning the work, not merely adding another tool.
And that makes human expertise more valuable to deciding on your strategy.
AI works best when an experienced practitioner knows what question to ask, recognizes when an answer does not make sense, and understands the economic and political context behind the data. Domain knowledge and professional judgment become complements to AI.
Your credibility is your greatest AI asset
We all know that economic development is a relationship business. So, when every organization can generate a polished prospect letter, industry profile, or market analysis in minutes, polished content becomes less distinctive. Trust becomes more distinctive.
That creates an important paradox. AI can help us automate more communication, but the result should be more time for human relationships, not less.
The same principle applies to analysis. AI can help collect, clean, summarize, and interpret vast quantities of information. But an EDO still has to stand behind the final product. An hallucinated wage number in a board report or an invented citation in a site-selection response can erase years of hard-earned credibility.
AI should help us produce stronger work, not faster errors.
That means credible AI practitioners will do five things consistently:
- Govern their own AI use. Decide which tools staff can use, what information they can enter, and what requires human review.
- Assign responsibility. Give someone clear ownership for keeping guidance on AI use current.
- Show their work. Verify data, sources, and conclusions before information leaves the organization.
- Build judgment alongside access. Continue to train staff in the underlying economic development craft so that the technology is more meaningful.
- Lead from experience. Use AI on real economic development work before advising businesses how to use it.
Then turn outward
As so many studies are now telling us, the bigger economic development opportunity does not sit inside the EDO. It sits across the regional economy.
Large companies have staff, consultants, and capital to test new technologies. Small and midsize businesses often do not. AI adoption therefore risks becoming another source of competitive separation between companies and between regions.
Economic development organizations can help close that gap, but only if they are prepared and build their own expertise.
EDOs already sit at the intersection of employers, workforce organizations, educational institutions, government, and community partners. That makes them natural brokers for regional AI adoption.
They can help smaller companies find trusted technical assistance. They can work with workforce and education partners to build AI-ready talent. They can identify the industries where AI adoption could produce the greatest productivity gains. And they can convene regional coalitions around a shared competitiveness strategy.
But there is an important prerequisite.
We cannot credibly ask the businesses in our regions to transform themselves with AI if our own organizations have not learned how to use it responsibly.
So what do we do? Start small. Start now.
An EDO does not need a major technology initiative to begin. Pick one or two pieces of real work that your organization performs repeatedly. Perhaps it is a labor market profile, an incentive review, business outreach, board research, or a program evaluation.
Run the task with AI for several weeks. Put an experienced staff member in charge. Verify every output. Measure the time saved. Track errors. Compare the result with your normal process. Document where the tool helped and where human judgment mattered most.
That small experiment can do three things. It builds staff capability and confidence. It creates evidence about where AI actually adds value. And it exposes the practical questions that your organization’s AI guidance needs to answer.
Then use what you learn to help your region, including your companies, your political leaders, and your partners, to become more AI savvy.
Economic development organizations have always helped communities respond to technological change. AI presents that challenge again, but this time it also changes the organizations doing the helping.
The regions that gain the most will not simply have the most AI tools. They will have businesses, workers, institutions, and economic development leaders who learn how to use those tools wisely.
The opportunity for EDOs is bigger than adopting AI. It is becoming the trusted institution that helps an entire region adopt it well.