U.S. Reshoring Efforts Risk Failure Without AI Integration, Report Finds

The effort to bring American manufacturing home is unlikely to succeed through simple relocation alone, according to a new joint report from Applied Artificial Intelligence LLC and Black Book Insights. The findings suggest that for reshoring to be durable, factories must be rebuilt around AI-enabled operating systems rather than traditional labor models.

In the report, titled "AI-Enabled Reshoring: Why America's Manufacturing Return Requires an Intelligent Operating System," the authors argue that AI is now a prerequisite for domestic competitiveness. Based on polling conducted in Q2 and Q3 2026 among 321 industry respondents—including 229 executives and 92 AI professionals—the data reveals a stark reliance on technology. Specifically, 88% of manufacturing executives state that their reshoring or nearshoring strategies depend materially on AI-enabled automation, analytics, or digital operations.

The Productivity Gap

The report highlights a significant risk for companies attempting to return production to the U.S. without a digital overhaul. Approximately 74% of executives believe that at least one of their reshoring business cases would fail, stall, or require a substantial redesign if they could not achieve productivity gains through AI or automation. This suggests that the cost of domestic operation cannot be offset by logistics or patriotism alone; it requires a fundamental increase in output efficiency.

Overcoming Labor Constraints

Historically, the movement of manufacturing overseas was driven by wage arbitrage—the pursuit of lower labor costs. However, modern domestic production faces a different set of hurdles. The survey found that 79% of respondents identify labor availability or technical skills shortages as a top-two constraint for reshoring.

Because the U.S. cannot simply replicate the low-cost labor environments of overseas hubs, the industry is shifting toward what Vasyl Harasymiv, founder of Applied Artificial Intelligence LLC, calls "intelligence arbitrage." According to Harasymiv, while reshoring brings the factory home, AI is what actually makes the factory competitive. He notes that the old model relied on wages, but the new model will rely on intelligence.

The Path to Industrial Transformation

These findings indicate that traditional reshoring plans based on outdated cost models are high-risk. For the U.S. to maintain a durable manufacturing advantage, AI must move beyond isolated pilot programs and become a full-stack operating transformation. This means integrating AI into the core industrial infrastructure, including Manufacturing Execution Systems (MES) and Enterprise Resource Planning (ERP) software, to create a comprehensive intelligence layer.

What remains to be seen is how quickly legacy manufacturers can pivot their infrastructure to support this transition. While the executive consensus on the necessity of AI is clear, the transition from traditional plant management to an AI-driven operating system represents a massive structural shift for the American industrial base.