The AI Mirage on the Factory Floor

The private equity sector’s enthusiasm for artificial intelligence has reached new heights, with billions invested in ventures promising to revolutionize American manufacturing. However, a closer look at factory floors reveals a more nuanced story – one where automation remains the primary driver of productivity gains.

MiddleGround Capital, a Kentucky-based private equity firm, is building robotic work cells for its portfolio companies. These self-contained stations feature robots performing tasks with minimal human intervention, similar to automation rather than AI-powered manufacturing. According to Scot Duncan, founding partner at MiddleGround, each build typically involves assembling a robot arm on a dolly that can remove and measure finished parts, load new material, and start the next cycle – all without significant human interaction.

The private sector has committed nearly $2 trillion in spending commitments to US manufacturing since 2025, largely driven by investors’ faith in AI’s potential to boost productivity. However, conversations with investors, manufacturers, and consultants suggest that actual implementation is often driven by more familiar sources: robotics and lean manufacturing principles.

Re:Build Manufacturing’s chief executive, Miles Arnone, offers a candid assessment of the current state. “Everyone’s making very audacious claims about their use of AI and how it’s going to—or already has—revolutionized their business,” he notes. “A lot of that is overblown at the moment.” This sentiment echoes concerns raised by some experts who argue that hype surrounding AI adoption in manufacturing is disproportionate to actual progress.

MiddleGround’s decision to build its robot shop was driven not by technological advancements but by labor shortages during the pandemic-era hiring crunch. Of 40 applicants for a plant job, only around 10 would qualify, and six of those would quit within days. By focusing on automation, MiddleGround aims to address this issue and improve productivity without overhyping AI’s role in manufacturing.

The Institute for Supply Management’s manufacturing index hit its highest reading since May 2022 in March – a statistic often cited as evidence of industry growth. However, it remains unclear how much of this growth can be attributed to actual AI adoption versus other factors such as increased demand and investment.

Investors like Jeff Bezos are also taking notice of the private equity sector’s enthusiasm for AI-powered manufacturing ventures. His startup, Prometheus, closed a $12 billion funding round in June at a valuation of roughly $41 billion – an indication that some still believe AI has the potential to revolutionize American manufacturing. Nevertheless, the experiences of firms like MiddleGround suggest that while AI may be spreading across finance, sales, forecasting, and engineering, its impact on factory floors remains limited.

The emphasis on automation in manufacturing is not new. For decades, manufacturers have relied on robotics and lean principles to drive productivity gains. This realization should prompt investors and manufacturers to prioritize proven strategies over unfulfilled promises of AI-driven revolution. As they navigate this landscape, it’s essential to separate hype from reality – and acknowledge that real change takes time.