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Stephan Liozu

Reporter

Indexed articles, last 90 days
4
Latest publication
Sep 29, 2026
Outlet visibility, for IndustryWeek
Top 5M sites
Earliest in this view
Jul 6, 2026

Latest articles

  1. Article · Sep 29, 2026 · Stephan Liozu

    Manufacturers Can’t Transform at the Speed of AI. So What Should They Do? (opens the original)

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    I have worked in or with industrial companies for over three decades. Bottom line: Industrial companies have a speed problem. For years, manufacturers have approached technological change deliberately. Major technology investments are evaluated, tested, budgeted, implemented, integrated and eventually scaled. Plants cannot change operating systems every six months. Equipment might remain in operation for 20 or 30 years. ERP implementations take years. Employees need training. Processes must be s

  2. Article · Aug 26, 2026 · Stephan Liozu

    Stop Cutting People. Start Cutting Complexity. (opens the original)

    Excerpt · Critical tone · English

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    Companies are rushing into AI with great expectations. Some executives see a productivity revolution. Others see a convenient justification for abruptly reducing headcount. That is the wrong starting point. Companies should not deploy AI primarily to explain layoffs. They should use it to remove the unnecessary and inherent complexity that has accumulated across products, processes, systems, meetings, reports and decision rights. If AI simply automates a broken operating model, the company will

  3. Article · Aug 5, 2026 · Stephan Liozu

    We’ve Seen This Movie Before: AI Without Value Creation Is Just Expensive Popcorn (opens the original)

    Excerpt · Critical tone · English

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    Let me save you two hours and $100 million: We’ve seen this movie before. The plot is always the same. A shiny new technology arrives with thunderous adoption. Breathless headlines declare it will change everything. Consultants descend like ants. Boards demand a strategy. Budgets materialize from thin air. And then—slowly at first and then all at once—reality sets in. Technology doesn’t pay for itself. Costs are unclear. Pilots never scale. The promised transformation becomes an expensive scienc

  4. Article · Jul 6, 2026 · Stephan Liozu

    Industrial AI Will Fail Without a New Pricing Model (opens the original)

    Excerpt · Critical tone · English

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    Let's be honest about something your board hasn't said out loud yet: Most of the AI your company is building will never earn back its compute bill. Not because the technology doesn't work. It does. Not because customers don't want it. They do. It will fail because industrial leaders are about to repeat the exact pricing mistake that just cost them a decade, turning "the next industrial revolution" into a line item on an impairment charge. Five years ago, industrial companies finally accepted the

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