Swiss Scholar: Tech Company Boundaries Blurring, AI's Ultimate Goal Lies in Traditional Enterprises

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A conversation with Howard Yu, Professor of Management at IMD Business School and Director of the Center for Future Readiness, reveals insights into the evolving landscape of global tech competition. He notes that while geopolitical tensions introduce uncertainty, AI integration is rapidly dissolving traditional industry boundaries.

"The distinctions between hardware, software, and service companies are vanishing," Yu emphasized. "Every firm—whether in tech, appliances, or smartphones—is striving independently or collaboratively to deliver seamless user experiences. The era of specialized business models is over; success now hinges on interfaces, data, and workflows."

IMD’s newly released *2025 Future Readiness Indicator* evaluates 49 tech firms, 27 pharmaceutical companies, and 41 fashion brands across seven dimensions: financial stability, growth expectations, diversification, workforce/ESG, R&D, innovation, and liquidity management. The study highlights stark disparities between resilient leaders and vulnerable laggards amid geopolitical shifts and AI adoption.

Pharmaceutical frontrunners like Johnson & Johnson, Roche, and AstraZeneca thrive by building end-to-end research-to-treatment platforms, while peers reliant on legacy products struggle with patent cliffs and cost pressures. In fashion, Zara parent Inditex surges to second place through vertical integration and data-driven agility, contrasting with brands slow to modernize.

"The divide is clear," Yu observed. "Companies betting on single hits face market squeeze, whereas those embedding resilience across ecosystems turn volatility into advantage."

**Beyond Products: The Ecosystem Playbook** Top performers dominate by controlling entire value chains. Tech giants like NVIDIA, Microsoft, and Meta lead via full-stack AI mastery (infrastructure, software, data). "They don’t just sell chips or apps—they own workflows," Yu explained. "XIAOMI-W exemplifies this: its 'super OS' interlinks smartphones, appliances, and EVs, locking users into its ecosystem."

XIAOMI-W’s rebound since its 2017 crisis underscores this strategy. "Their 360° growth—revenue, profits, investments—validates our data-driven readiness metrics," Yu noted.

**AI’s Endgame: Transforming Traditional Industries** Despite hype around big-ticket AI investments (Oracle to OpenAI pouring $600–700B biannually), Yu warns of bubbles. "When analysts claim 'this won’t end,' I worry. Tech firms are hedging—realizing enterprise adoption must justify their data-center splurges."

The true prize? Enabling non-tech firms like Honeywell or John Deere to unlock transformative value. "ChatGPT’s 10% efficiency gains won’t sustain trillion-dollar infrastructures," Yu said. "The next wave? Physical-world interactions—robotics, where China holds an edge."

This pivot reflects the "Magnificent Seven’s" self-preservation: ensuring their bets fuel economy-wide productivity. "It’s not just about selling tools—it’s about rewriting how industries operate."

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