2026-07-19 · Governance

Every technology wave creates a new Chief Something Officer.

Chief Data Officer, Chief Digital Officer, Chief Innovation Officer, Chief Blockchain Officer ... and now, increasingly, Chief AI Officer.

Some of these roles are useful. Some are necessary. A few even survive the press release.

But in industrial companies, the harder question is not whether a new technology deserves a new title. It is whether it strengthens the value proposition in ways that eventually show up in uptime, margin, working capital, service revenue or cash flow.

This is where many discussions around AI become strangely detached from industrial reality.

In the Mittelstand, AI rarely arrives in a greenfield. It arrives in an installed base of machines, lines and control systems that may be 20 or 25 years old and still far from the end of their useful life. They are not replaced because a new acronym becomes fashionable. They continue to produce, fail, recover, consume spare parts, require service and shape the economics of the business.

You cannot transform that installed base with buzzwords.

For a machine builder, AI creates value when equipment becomes easier to commission, more reliable to operate, faster to service or more valuable across its lifecycle. For a manufacturer, it matters when quality improves, downtime falls, lead times become more predictable and working capital is better controlled. For a service organisation, it matters when technicians solve problems faster and the installed base becomes a source of learning rather than repeated surprise.

That requires more than a new title. It requires AI to be connected to the operating model, data reality, process ownership, decision rights and economic logic of the business.

Otherwise, the familiar pattern repeats: a new label, a new governance layer and a new portfolio of initiatives, while the core value proposition remains largely untouched.

Owners, CFOs and plant leaders are not against technology. They are against activity that never reaches the numbers.

In industrial transformation, the value proposition should remain the centre of gravity. AI is not an exception to that rule. It is a test of whether the organisation still understands it.

Originally published as a LinkedIn note. Edited for Industrial Notes.