Intelligent Leadership Matters More Than Artificial Intelligence in Breakthrough Innovation
While investments in research and development continue to rise, truly transformative breakthroughs are becoming increasingly rare. As Giacomo Marchesini argues in a recent CBS Leadership Centre column in Børsen, this is not merely a technological challenge — it is fundamentally a leadership one.
What does it take to sustain breakthrough innovation in an era defined by advanced data, sophisticated analytics, and rapid adoption of artificial intelligence? At first glance, the conditions for discovery appear ideal. Danish companies now invest more in innovation than firms in most comparable countries, and AI tools are becoming deeply embedded in organizational decision-making. Yet the expected surge in radical discoveries has not materialised.
This paradox lies at the heart of Giacomo Marchesini’s recent op-ed, published in collaboration with the CBS Leadership Centre and Børsen. Drawing on innovation research, Marchesini highlights a troubling trend: organizations are producing more output — more patents, more projects, more data — but fewer genuinely new ideas. Breakthroughs that reshape industries or redefine technological frontiers are becoming increasingly scarce.
Innovation outcomes are shaped by leadership choices
Marchesini’s core argument reframes the issue. The slowdown in breakthroughs is not primarily a failure of effort or investment, but a consequence of how leaders structure innovation systems. Decisions about incentives, performance horizons, risk tolerance, and evaluation criteria profoundly influence which ideas are explored — and which are quietly abandoned.
His research shows that under short-term financial pressure, organizations often continue to spend heavily on research and development, yet shift toward safer, more incremental projects. Exploration declines even as total investment rises. Over time, this dynamic leads to innovation systems that optimise what is already known rather than opening paths to the unknown.
Why AI does not solve the exploration problem
Against this backdrop, artificial intelligence is often presented as the solution. Faster analysis, broader pattern recognition, and data-driven insight promise to unlock new possibilities. However, Marchesini cautions that AI may inadvertently reinforce existing limitations. Because AI systems are trained on historical data, they excel at exploitation — refining, accelerating, and scaling established knowledge — but struggle with genuine exploration.
Breakthroughs typically emerge from uncertainty, curiosity, and sustained experimentation. They require tolerance for ambiguity and a willingness to follow weak or unexpected signals. These are qualities that current AI systems do not possess. Without thoughtful leadership, AI risks amplifying what organizations already know, rather than helping them discover what they do not.
Reclaiming exploration as a leadership responsibility
Importantly, Marchesini does not argue against AI adoption. Instead, he situates AI within a broader leadership challenge: how to design innovation environments that preserve space for exploration. He highlights several leadership moves that can strengthen breakthrough potential even before advanced technologies are introduced.
These include grounding innovation decisions in scientific evidence rather than intuition or outdated “best practices,” creating room for open-ended exploration where solutions may precede clearly defined problems, and rethinking the popular “fail fast” doctrine. Not all failures are equal, and meaningful learning often requires persistence rather than rapid abandonment.
Leadership before technology
The mission of the CBS Leadership Centre is to advance leadership that can navigate complexity, uncertainty, and long-term societal challenges. Marchesini’s research underscores a critical insight for leaders operating in innovation-driven contexts: technology alone cannot compensate for narrow exploration processes or misaligned incentives.
Breakthrough innovation depends on intelligent leadership — leadership that understands how new knowledge emerges, protects exploratory space, and makes evidence-based decisions over time. Artificial intelligence may transform many aspects of organizational life, but it cannot substitute for leadership that is willing to think beyond what is already visible.
Read Giacomo Marchesini’s full op-ed (in Danish): “Virksomheder opdager færre store gennembrud – og AI kan gøre det værre”.