CPG makers face profit squeeze as AI ambitions outpace factory realities

Consumer-packaged goods manufacturers are staring down a worsening margin crisis, with preventable production losses expected to nearly double by the end of the decade, even as the industry bets heavily on artificial intelligence to reverse the tide.

A survey of 1,453 global executives commissioned by Schneider Electric found that inefficiencies including manufacturing delays, unplanned downtime, and equipment failures already account for roughly 20.3 percent of final manufactured product costs. That figure is projected to climb to 29.14 percent by 2030, a trajectory that executives say is unsustainable without a fundamental overhaul of how factories operate.

The findings land at a moment of deep tension inside the sector. Confidence in AI is high; readiness is not.

Only 13% of CPG manufacturers, about one in eight, say AI is currently embedded end-to-end across their core operations. By 2030, more than a third expect it to be central to how they run their businesses, representing a tripling of adoption in just four years.

Return expectations are equally ambitious: nearly a third of respondents forecast AI-driven returns of between 50 percent and 74 percent on their investments, while close to 8 percent anticipate returns exceeding 100 percent, the kind of performance currently seen only at the most advanced so-called Lighthouse factories recognized by the World Economic Forum.

The reality today looks considerably different. Seventy percent of respondents report current AI returns of under 20 percent, with nearly a third seeing returns of 5 percent or less.

That gap between aspiration and execution points to a set of problems that have less to do with AI itself and more to do with the infrastructure surrounding it. Skills shortages in AI and data science topped the list of barriers at 43 percent, followed by legacy automation systems at 37.5 percent and a lack of clean, contextualised operational data at 36.3 percent. Workforce resistance was cited by more than a quarter of respondents, ranking above cybersecurity and compliance concerns.

“AI can only be transformative when it delivers true industrial intelligence,” said Neil Smith, President of CPG at Schneider Electric. The gap between current performance and future expectations, he added, represents “the strongest signal of urgency we’ve seen in years.”

The survey arrives alongside a new Schneider Electric paper — produced in collaboration with industrial software firm AVEVA — outlining a practical roadmap for AI adoption across food and beverage and life sciences manufacturing, including steps toward what the company describes as autonomous operations.

For an industry already absorbing pressure from input costs, shifting consumer demand, and supply chain fragility, the clock on that transformation may be ticking faster than many boardrooms have appreciated.