Charlotte, N.C., July 6, 2026 /PRNewswire/ – The governor’s office announced the completion of North Carolina’s Artificial intelligence Strategic Roadmap, a comprehensive plan that aims to position the state as a national exemplar in the responsible development, deployment, and oversight of AI technologies. The roadmap, released under Governor Josh Stein’s leadership, was drafted with input from a cross‑sector advisory council that included senior executives from the fintech sector, notably Sarah Bacha, Senior Vice President, Head of Strategy and Analytics at LendingTree.
The document outlines a multi‑pronged approach covering government operations, education, workforce development, economic growth, and consumer‑facing industries. Its ambition is to attract AI‑related investment while embedding safeguards that protect privacy, promote transparency, and foster public trust.
Why the timing matters
Artificial intelligence has moved from experimental labs to the core of everyday financial services. From credit‑scoring algorithms to conversational chatbots, AI now underpins the majority of digital interactions between lenders and borrowers. As regulators grapple with the pace of innovation, states are increasingly stepping in to fill the policy vacuum. North Carolina’s roadmap arrives at a moment when both federal and state policymakers are debating the balance between encouraging AI‑driven growth and preventing unintended harms such as algorithmic bias or data misuse.
Industry observers note that a clear, state‑level strategy can reduce compliance uncertainty for fintech firms operating across jurisdictional lines. “Artificial intelligence is already changing how we work, learn, and serve the people of our state, and North Carolina must lead with urgency and care,” Governor Stein said in the release. “This roadmap gives our state a strategy to protect people from harm, prepare our workforce for opportunity, and transform how government serves the public.”
LendingTree’s advisory role
LendingTree’s involvement stemmed from its participation on the Governor’s Artificial Intelligence Advisory Council, a body convened to bring together representatives from industry, academia, government, and nonprofit organizations. Sarah Bacha contributed a perspective grounded in the realities of scaling AI within a consumer‑focused financial marketplace. Her comments highlighted the need for “practical, real‑world perspectives on innovation, consumer protection, transparency, and responsible deployment of emerging technologies.”
In a follow‑up interview, Bacha emphasized that the roadmap represents “a model for how states can approach this rapidly evolving technology.” She added, “The recommendations reflect a thoughtful balance between fostering innovation and establishing the guardrails necessary to build public confidence—both critical for long‑term growth.” Her remarks underscore a growing sentiment among fintech leaders: that proactive engagement with policymakers can shape a more predictable regulatory environment.
Governance versus slowdown: insights from the conference floor
The strategic conversation around AI governance was a focal point at the recent Fintech + Insurtech Generations conference in Charlotte. Hala Shakra, Director of AI Strategy at LendingTree, addressed the often‑misunderstood relationship between oversight and speed. “The mindset of governance is to not think of it as slowing AI down. If done well, it can create clarity. This is what teams need to help them move faster and continue to innovate,” she explained to an audience of fintech founders, insurers, and regulators.
Shakra’s remarks echo a broader industry trend that views governance frameworks not as roadblocks but as enablers of sustainable scaling. By establishing clear standards for data handling, model explainability, and bias mitigation, firms can mitigate legal risk and build consumer confidence—both critical for long‑term growth in a highly competitive market.
What the roadmap actually contains
The final plan proposes a layered governance structure that integrates:
- Regulatory alignment – Coordination with existing federal guidelines such as the FTC’s AI guidance and the NIST AI Risk Management Framework, ensuring that state rules complement rather than conflict with national standards.
- Education and workforce initiatives – Partnerships with community colleges and universities to embed AI curricula, certifications, and apprenticeship programs aimed at upskilling the state’s labor pool.
- Data stewardship protocols – Mandatory impact assessments for high‑risk AI applications, coupled with a state‑run repository for model documentation to promote transparency.
- Economic incentives – Tax credits and grant programs designed to attract AI‑focused startups and encourage established fintech firms to expand R&D operations within North Carolina.
- Consumer‑centric safeguards – Requirements for explainable AI in credit decisions, opt‑out mechanisms for automated profiling, and robust enforcement mechanisms overseen by a newly proposed AI Ethics Board.
Collectively, these elements form a “comprehensive framework for advancing artificial intelligence across state government, education, workforce development, economic growth, and consumer‑facing industries,” according to the release.
Implications for fintech firms
For companies like LendingTree, the roadmap offers both opportunities and obligations. The state’s focus on explainable AI and consumer consent aligns with the fintech sector’s ongoing shift toward transparent algorithmic decision‑making. Firms that already invest in model interpretability stand to benefit from reduced compliance friction, while those lagging may face higher scrutiny.
Moreover, the economic incentives could make North Carolina an attractive hub for AI‑driven fintech ventures. The state already boasts a robust financial services ecosystem, anchored by major banks, credit unions, and mortgage lenders. Adding a clear AI policy layer may accelerate the migration of AI research labs and talent pipelines, creating a virtuous cycle of innovation and job creation.
A broader regulatory context
North Carolina is not the only state crafting AI playbooks. California, New York, and Texas have all released or are drafting AI‑focused legislation. However, many of those efforts remain fragmented, focusing on isolated issues such as facial‑recognition bans or algorithmic accountability statutes. By contrast, North Carolina’s roadmap presents a holistic, cross‑sector strategy that could serve as a template for other jurisdictions seeking a balanced approach.
Federal regulators have signaled an intent to issue more detailed AI guidance in the coming years. The roadmap’s alignment with NIST and FTC frameworks suggests that state policymakers are proactively preparing for an eventual overlay of federal rules, thereby reducing the risk of policy shock for local businesses.
LendingTree’s historical stance on AI and policy
LendingTree’s participation in the advisory council is consistent with its three‑decade track record of leveraging technology to streamline consumer financial decisions. The company has long advocated for policies that encourage fintech innovation while preserving consumer choice and privacy. Its advocacy has included public comments on data‑privacy legislation and support for open‑banking standards that enable secure data sharing across platforms.
By positioning itself at the intersection of industry expertise and public policy, LendingTree demonstrates a strategic commitment to shaping the regulatory environment in which it operates. This approach mirrors a broader fintech trend where firms are moving beyond passive compliance to active policy engagement.
Potential challenges ahead
While the roadmap is ambitious, its success will hinge on execution. Establishing an AI Ethics Board, for instance, requires clear authority, funding, and a transparent appointment process to avoid politicization. Similarly, the proposed data‑repository for model documentation must balance openness with the protection of proprietary algorithms—a delicate equilibrium for commercial firms.
Enforcement mechanisms also remain a question. The roadmap calls for “robust enforcement” but does not detail the penalties or audit powers that will be granted to state agencies. Without concrete enforcement teeth, the framework risks being a set of best‑practice guidelines rather than a binding regulatory regime.
Outlook for the fintech ecosystem
If North Carolina can translate its roadmap into actionable policy, the state may emerge as a preferred destination for AI‑enabled fintech startups seeking a predictable regulatory climate. The combination of talent pipelines, tax incentives, and a clear governance model could attract venture capital focused on AI in lending, payments, and wealth‑management platforms.
For incumbents like LendingTree, the roadmap offers a chance to showcase responsible AI practices on a public stage, potentially differentiating the brand in a crowded marketplace. It also provides a platform for the company to influence future regulatory refinements, ensuring that industry realities are reflected in the final rules.
Closing thoughts
North Carolina’s AI Strategic Roadmap represents a significant step toward codifying the responsibilities of AI developers and users within a state context. By integrating industry insights, academic research, and consumer protection principles, the plan aims to balance the twin goals of fostering innovation and safeguarding public trust. As fintech firms continue to embed AI deeper into credit underwriting, risk management, and customer engagement, the roadmap could serve as a benchmark for how state governments can constructively shape the technology’s trajectory.
The coming months will reveal how effectively the state can operationalize its ambitious framework and whether other jurisdictions will adopt similar models. For now, the collaboration between Governor Josh Stein’s office and fintech leaders like LendingTree signals a growing recognition that responsible AI governance is not just a regulatory checkbox—it is a strategic imperative for the future of financial services.
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