Ask the Expert: Artificial Intelligence Is Here. What Should New Hampshire Do Next?

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This article was originally published in the Union Leader.

By Julie Demers, Executive Director, NH Tech Alliance

Artificial intelligence is no longer theoretical. It is already embedded in how New Hampshire businesses operate, how educators teach, how hospitals manage information, and how local governments serve residents. From drafting reports and analyzing data to streamlining customer service and research, AI is reshaping daily work across our state.

The question is not whether AI will influence New Hampshire’s economy and institutions. It already does. The real question is whether we approach this moment deliberately — or allow standards, skills, and expectations to be shaped elsewhere.

To help answer that question, the NH Tech Alliance convened an AI Task Force in late 2025. The 16-member group represents 11 sectors, including finance, healthcare, legal, technology, manufacturing, education, and local government. During the first quarter of 2026, the Task Force conducted surveys and cross-sector roundtables to understand how AI is being used and where gaps are emerging.

In February 2026, the Task Force released an early memo outlining its initial findings. That memo is not a regulatory proposal or technical manual. It is a starting point — a shared foundation to guide conversation, coordination, and practical next steps.

AI Is Already in Use — But Not Yet Strategic

Across industries, AI adoption is real but uneven. Small and mid-sized businesses are using AI to draft marketing content, summarize documents, analyze operations, and accelerate workflows. Financial institutions are leveraging AI to review reports and manage compliance tasks. Educators are rethinking assessment strategies. Municipal leaders are experimenting with internal tools.

However, most adoption is happening at the individual or team level rather than through coordinated organizational strategy. Formal governance frameworks and enterprise-wide policies remain limited. Innovation is occurring, but often in isolation.

Efficiency Is the Focus — Not Replacement

One of the clearest signals we heard is that organizations primarily view AI as a productivity tool. Leaders describe it as a way to automate repetitive “grunt work” so employees can focus on higher-value analysis, decision-making, and service.

In government, AI offers potential to help agencies manage tight staffing and budgets by handling routine tasks. In finance, it can accelerate summarization and reporting. Across sectors, the near-term emphasis is augmentation, not workforce replacement.

At the same time, long-term workforce implications deserve attention. Legal professionals expressed concern that heavy reliance on AI drafting tools could weaken foundational analytical skills among junior attorneys. In the technology sector, some worry that AI tools may eliminate entry-level coding tasks that traditionally serve as the training ground for future senior engineers.

The transition calls for thoughtful workforce development — not fear, but not complacency either.

Data Readiness Is the Primary Bottleneck

The most consistent barrier we heard about is not access to AI tools. It is data quality.

AI systems depend on clean, structured, accessible data. Many organizations — especially small and mid-sized firms — are working with legacy systems, siloed information, and inconsistent recordkeeping. Without strong data governance, even advanced tools will underperform.

Improving data hygiene is not a secondary issue. It is a prerequisite for meaningful AI impact.

Risk Awareness Is High — Maturity Is Mixed

Concerns about privacy, cybersecurity, bias, and compliance are widely recognized. Some organizations are building formal governance structures and validation processes. Others rely heavily on vendor assurances.

Clearer, practical guidance could reduce fragmentation and strengthen public trust — particularly in regulated industries and public-sector environments.

Education and Access Matter

In education, some leaders are shifting from “policing” AI-generated work to measuring the learning process itself, emphasizing AI fluency and human oversight. At the same time, disparities in access and policy clarity are emerging across districts and among small businesses.

If not addressed early, uneven adoption could widen opportunity gaps.

What Comes Next

The February 2026 memo represents Phase One of this effort. The AI Task Force will continue conducting focus groups and statewide surveys throughout 2026 to deepen insight and refine recommendations. A comprehensive statewide report is planned for fall 2026.

We strongly encourage businesses, educators, municipalities, and nonprofit leaders to weigh in. Broad participation will ensure that any future strategy reflects real-world conditions and diverse perspectives.

View the February 2026 Memo:
https://nhtechalliance.org/new-hampshire-ai-task-force/

Artificial intelligence will shape how we work, learn, govern, and compete. New Hampshire has an opportunity to take a balanced path — supporting innovation while protecting public trust. By engaging now, collaborating across sectors, and investing in workforce readiness and data foundations, we can ensure AI strengthens our economy and benefits communities across the Granite State.

About the NH Tech Alliance

The New Hampshire Tech Alliance is a statewide technology association committed to supporting companies at every stage of growth. Through programs that focus on workforce development, innovation, advocacy, and entrepreneurship, the Alliance helps ensure New Hampshire remains a leader in the evolving global tech landscape.