Last week, we had the opportunity to attend an exceptional panel discussion at Winthrop University that brought together some of South Carolina’s brightest minds in technology and business strategy. The InnoVision event tackled a critical question facing every business today: What does it really mean to be an AI-first company?
The AI Transformation Is Here—And It’s Not What You Think
The panel made one thing abundantly clear: AI isn’t just another tool to add to your technology stack. As Marcus Benjamin from SCRA’s Board of Trustees emphasized, “If I decide I just want to put a tool in place, but someone is deciding on how they’re going to enter my industry with 20% of my overhead, that completely changes pricing, it changes economies of scale, and now my strategy is now I’m far behind because I look at AI as a tool rather than thinking about it as an enterprise transformation.”
This distinction between viewing AI as a tool versus a strategic transformation is critical. Traditional companies face incremental costs with each new customer or product. AI-first companies, however, operate with near-zero incremental costs for additional customers or users. This fundamental difference in cost structure means the profit trajectories for these companies are exponentially steeper.
Offensive vs. Defensive AI Strategy
The panel introduced a valuable framework for thinking about AI implementation:
Defensive AI focuses on optimization and cost-cutting—automating marketing teams, business development roles, and operational processes. This approach delivers faster ROI and is easier to implement. One panelist shared how they reduced their workforce from 150 people to just six while simultaneously increasing revenue, demonstrating the dramatic efficiency gains possible.
Offensive AI leverages your proprietary data—your “secret sauce”—to develop new data products or expand product lines. This requires more vision and longer-term planning but can create entirely new revenue streams and competitive moats.
The key takeaway? AI should be treated as a capital expenditure aimed at 3-5 year strategic advantage, not just a short-term planning tool.
Your Data Is Your Most Valuable Asset (And Your Biggest Risk)
Multiple panelists stressed that data management and security are paramount in AI implementation. Client data must be treated as sacred—kept completely isolated and never combined with other datasets for training AI models. Each client should have their own dedicated pipeline to prevent cross-contamination and legal issues.
The recommended approach is using Retrieval-Augmented Generation (RAG) models built on top of your specific data, using large language models for interpretation while keeping proprietary information separate and secure.
A critical warning emerged: always read the terms and conditions of AI tools. Many default to using your data to train their models, and some store data in locations that may violate regulatory requirements. One example cited was DeepSeek, which explicitly stores user data in Beijing—making it unusable for government contractors or companies with data sovereignty requirements.
The Hidden Asset: Tacit Knowledge
Perhaps one of the most fascinating discussions centered on intellectual capital. Organizations are at risk of losing trillions of dollars in tacit knowledge as experienced employees retire. This subject matter expertise—developed over decades—is often not documented in any standard dataset.
By capturing this human expertise and structuring it within an AI framework, companies can transfer invaluable knowledge into a technological asset. This process can significantly compound a company’s exit value, as the organization’s worth is no longer solely dependent on specific individuals who might leave.
The Human Skills Advantage
Despite all the talk of automation, the panel was unanimous on one point: emotional intelligence, social skills, and executive presence are becoming more valuable than ever. As Susie Shannon from the SC Council on Competitiveness noted, “We’re still humans making decisions. And so that emotional intelligence is a key part in this technology revolution.”
These “durable skills”—including change management, innovation, discipline, and time management—are now considered the “new hard skills” because they cannot be replicated by AI. In fact, one business leader on the panel prioritizes hiring individuals with sales and customer support experience over those with only computer science degrees, stating that AI skills can be taught, but interpersonal skills cannot.
What This Means for South Carolina’s Tech Ecosystem
The event highlighted South Carolina’s growing commitment to technology leadership. Winthrop University is the first in the state to offer bachelor’s degrees in AI and FinTech, with programs in Applied Software Engineering and plans for Advanced Manufacturing Engineering. The state has also developed the nation’s first customized high school AI curriculum, rolled out as a pilot in 26 schools this fall.
SCRA continues to fuel the region’s tech ecosystem through grants, equity investments, and mentorship, with the Midlands region (from Aiken to Florence to Fort Mill to Orangeburg) becoming the fastest-growing technology area in their coverage.
The Road Ahead
The panel’s forecast for the next 5-10 years was sobering yet optimistic. While the transition period will be challenging—with predictions of rising unemployment among those without AI literacy—the long-term outlook is promising for those who adapt.
Keith Ludeman summed it up perfectly: “AI is going to change the entrepreneurial game over the next five years.” The question isn’t whether to adopt AI, but how quickly and strategically you can transform your organization around it.
For businesses in our region, the message is clear: AI adoption is no longer optional. Those who view it as an enterprise transformation rather than just another technology tool will be the ones who thrive in the coming decade.
Special thanks to Winthrop University for hosting this important conversation and to all the sponsors who continue to invest in building our regional tech ecosystem. Events like this are exactly what our community needs to stay competitive in an AI-driven economy.
