Tom Clayton shares his predictions for AI in 2026.

In a recent article for TechRound, Tom Clayton, our CEO and Co-Founder, shared his predictions for AI in 2026.

As manufacturers move away from hype, they will begin to demand AI that delivers real value, with C-suite oversight driving smarter, future-proof operations. If you missed the original commentary, catch up below.

There’s an emerging recognition among manufacturers that much of the AI they’ve been sold isn’t fit for purpose, nor is it delivering on promises of instant transformation. In 2026, this realisation will intensify as manufacturers demand genuine, measurable value from AI.

While AI and ML can transform factory operations – reducing downtime and increasing productivity – many manufacturers have struggled to separate genuine technology from hype.

That’s because many predictive-AI systems deliver limited data and lack contextualisation. It’s technology that can’t scale, and the result is growing tech debt that silently undermines efficiency and long-term competitiveness.

This has sown doubt and confusion around AI, eroding confidence in a technology that, when applied correctly, can deliver real operational improvements.

In 2026, we’ll see a broader awakening around real, scalable AI. Manufacturers will reassess and change providers where earlier choices locked them into constraints that hinder growth.

AI governance will increasingly move into the C-suite, too. CEOs, CTOs, CFOs, and COOs will need to interrogate vendors, question jargon, and build internal AI literacy. AI diligence is no longer just a technical concern, it’s a leadership discipline. Just as executives once learned to scrutinise financial audits or cybersecurity claims, they now need to assess AI solutions critically, separating genuine, scalable technology from empty promises.

Only when manufacturers conduct due diligence, prioritise transparency, and adopt AI that evolves with their operations will they unlock smarter, more future-proof performance in 2026 and beyond.

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