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Asolica > Blog > Business > Why AI’s best problem is management, not innovation | Fortune
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Why AI’s best problem is management, not innovation | Fortune

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Last updated: January 22, 2026 3:54 pm
Admin
2 months ago
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Why AI’s best problem is management, not innovation | Fortune
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Figuring out future developments and applied sciences continues to be a “million-dollar question,” mentioned Raffaella Cornaggia, most lately CEO of Kering Beauté at Fortune CEO Discussion board. Yearly, the Fortune CEO Discussion board convenes a few of Europe’s most influential enterprise leaders, offering a trusted platform the place senior executives can trade insights and focus on their shared priorities and challenges with friends. In 2025 visitors included leaders from Shell, Philips, Sodexo and extra.

Cornaggia famous that social media platforms comparable to TikTok present real-time information that companies can use to determine shifting shopper tastes. TikTok’s algorithm surfaces content material primarily based on precise person conduct, making it a strong discovery engine, the place folks usually “accidentally” discover new manufacturers or merchandise with out trying to find them. For companies, the hot button is monitoring how developments are resonating throughout a number of areas and communities. By figuring out these patterns early, corporations can decide which developments are most certainly to scale globally.

From left: Most lately CEO of Kering Beauté, Raffaella Cornaggia, and CEO of Colnago, Nicola Rosin, at Fortune CEO Discussion board 2025.

Joe Maher

Trying forward, leaders had been optimistic concerning the impression of AI on work. Dave McCann is the managing associate of IBM Consulting for Europe, the Center East, and Africa (EMEA). He claimed the true positive aspects in productiveness will come from how successfully organizations carry people and know-how collectively. “I see a similar evolution from not having computers to then having computers,” agreed Trane Applied sciences’ group president of EMEA, Jose La Loggia. The main focus is shifting, nevertheless, from marginal productiveness positive aspects to demonstrable ROI. In a current report, Gartner predicted AI infrastructure software program spending will attain practically $230 billion this yr, up from roughly $60 billion in 2024. After years of heavy experimentation and funding, boards are more and more demanding tangible outcomes—and leaders are below higher strain to ship them.

“I see a similar evolution from not having computers to then having computers.”

Jose La Loggia, group president of EMEA, Trane Applied sciences

Efficient management within the age of AI calls for a longer-term view—one that appears towards the legacy we create for future generations. Shell U.Ok.’s chair and group EVP for sustainability and carbon, Parminder Kohli, noticed that the true problem lies in making certain members of the following era have the identical alternatives to meet their potential as at present’s leaders have had. This isn’t a know-how problem however one in all management: Leaders should align groups, take away organizational obstacles, and “rewire” their corporations so workers are set as much as succeed. Meaning investing in coaching; encouraging managers to champion new instruments; and implementing the governance that turns AI right into a “supertool” for enhancing human company. As IBM’s McCann identified, tradition will evolve provided that leaders begin taking motion at present, fairly than ready for change to occur by itself.

Contained in the Fortune 500 Europe Webinar – February 11, 2026: Be part of Europe’s high enterprise leaders as they discover the methods shaping the way forward for the area’s strongest corporations. Register your curiosity.

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