Most executives treating AI as a cost-reduction tool are solving the wrong problem. The real opportunity is not efficiency. It is invention. Chas Fox, CEO of Scientific Models and MicroMark, has spent two decades leading high-stakes turnarounds, scaling startups, and revitalizing legacy brands. His experience deploying AI across product development, supply chain, and customer acquisition has produced a clear conviction: AI-enabled product lines are not a trend. They are a proven engine for high-margin growth that most businesses are not yet using to their full potential. “High-margin growth is not about luck,” Fox says. “It is about intelligent reinvention.”
Identify Hidden Margins Through Data
The first opportunity most businesses miss is sitting inside the data they already own. Customer behavior, product performance, purchase patterns, and demand signals accumulate over years inside organizations that rarely use them for anything beyond backward-looking reporting. Fox’s approach at MicroMark was to treat that data as a product development asset.
Using AI to analyze three years of customer behavior and product performance, the team identified an opportunity that would not have surfaced through traditional product development methods. The result was a proprietary AI-assisted paint formulation line that generated 86% profit margins and over one million dollars in new annual sales. “When AI meets data intelligence, you do not just optimize,” Fox says. “You invent.” The distinction is significant. Optimization improves what exists. Invention creates new revenue streams that did not exist before and, at 86% margins, redefines what profitability looks like for the business.
Use AI to Reduce Product Development Risk
The traditional product development model carries a cost structure that naturally limits ambition. High upfront investment, long lead times, and uncertain demand create conditions where organizations default to incremental line extensions rather than genuine innovation. Fox inverted that model entirely. At MicroMark, virtual product concepts are now tested using predictive analytics before any investment in physical inventory is made. The market signal comes before the capital commitment, not after. That sequence change has enabled the launch of over 5,000 new stock keeping units (SKUs) with dramatically lower failure rates and significantly higher margins than the traditional model would have produced.
For executives managing product portfolios in competitive markets, the implication is direct. AI-enabled product development does not just reduce risk on individual launches. It changes the economics of innovation at scale, making it viable to test more, fail less, and launch with greater confidence across a broader range of opportunities.
Build AI Into the Core Business Model
The third shift Fox identifies is the one that separates organizations generating isolated AI wins from those building a durable competitive advantage. Deploying AI in one function produces incremental improvement. Embedding it across the entire business model produces transformation. At MicroMark, AI integration extended across supply chain operations, marketing, and the full customer journey, from advanced search engine optimization (SEO) to personalized email flows. The cumulative impact of that integration was a 250% growth in the customer base, Amazon’s sales scaled from zero to four million dollars, and a culture of continuous improvement was embedded across the organization.
“AI is not just about product innovation,” Fox says. “It is business reinvention.” The businesses that treat AI as a cross-functional operating capability rather than a departmental tool are the ones building the kind of compounding advantage that traditional competitors cannot close through incremental improvement alone.
The Speed of Embedding Matters
The window for first-mover advantage in AI-enabled product development is real, and it is narrowing. The organizations that move deliberately and embed AI deeply across their operations now are building structural advantages in margin, speed to market, and customer acquisition that will define competitive positioning for years.
“The question is not if you should use AI,” Fox says. “It is how fast you can embed it to transform your future.” For executives leading businesses with untapped data, product development ambitions, and growth targets that traditional models are struggling to meet, that question deserves an urgent answer.
Follow Chas Fox on LinkedIn or visit his website or his company’s website for more insights on AI-enabled growth, eCommerce scaling, and high-margin product strategy.
