Tag: Thought Leadership

LI AI Governance - Three frameworks for AI Governance in SMEs and Family Businesses

Three Frameworks for AI Governance in SMEs and Family Businesses

In the first part of this series, we examined why AI governance is a leadership responsibility [AI governance starts in the boardroom]. This article addresses...

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“AI is a leadership topic” has become a consensus statement, yet it is rarely thought through to its logical conclusion. Three recent studies demonstrate that AI usage changes the competencies of those who use it. Those who treat AI as a shortcut lose skills. Those who treat it as a sparring partner — asking questions, critically examining outputs, and maintaining their own cognitive effort - become measurably more competent. For business leaders, this has two implications: first, they need their own AI competence, not least to recognise which usage patterns within their organisation are productive and which are not. Second, they must lead by example rather than by decree. “AI is a leadership topic” only becomes concrete when senior leaders consciously set the direction.

Yes, AI Is a Leadership Task — But Not in the Way You Think

Why “AI is a leadership topic” only becomes true when business leaders practise what they preach: In LinkedIn posts, keynote speeches, and consulting pitches, one phrase...

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AI is not a gradual evolution of existing technology. It is a disruption – and when disruptions take hold, they tend to do so broadly, rapidly, and simultaneously. Many managing directors of SMEs and family businesses are experiencing AI in the phase just before this breakthrough. Early signals are already visible: individual employees are working more productively thanks to AI, certain processes can be noticeably accelerated. But comprehensive integration into day-to-day business operations is something most organisations have yet to achieve.

AI Productivity in SMEs: When Will the Breakthrough Actually Arrive?

AI is not a gradual evolution of existing technology. It is a disruption – and when disruptions take hold, they tend to do so broadly,...

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A new approach is gaining attention: systems where multiple specialized AI agents collaborate to accomplish complex tasks—variously called "AI agent swarms," "multi-agent systems," or "agent teams."

AI Agent Teams: The Next Evolution in Enterprise AI – Or Another Overhyped Detour?

In our previous exploration of AI adoption challenges, we identified two critical barriers preventing transformation outside the tech sector: companies struggle to discover where AI...

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95% of companies use AI, but few achieve real transformation. Why SMEs struggle to find the right use cases – and how to bridge the gap.Most businesses can't identify where AI creates value – or scale experiments into transformation. How to solve the discovery and integration problem.

AI Decisions in Business: Why Humans Must Remain the Final Authority

An algorithm decides whether a defendant gets parole. An automated system recommends denying a patient treatment. An autonomous vehicle must choose in a split second...

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Why AI Remains a Hammer Looking for Three-stage model for AI transformation in non-tech industries: moving from isolated AI experiments to discovering high-value applications to systematic workflow redesign.

Why AI Remains a Hammer Looking for Nails in Most Industries

At the 2025 World Economic Forum in Davos, Microsoft CEO Satya Nadella issued a stark warning: if AI benefits only accrue to tech firms, "it's...

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AI as a sparring partner: How leaders use AI strategically for decisions, product development and negotiations – beyond routine tasks.

AI as a Sparring Partner: How Leaders Gain a True Counterpart

Most companies today use AI for operational tasks: translating texts, drafting emails, summarising documents. That's a start – but it's rather like driving in first...

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