E635 | EUCVC Summit 2025: Francesco Di Lorenzo, Copenhagen Business School: Nordic CVC Insights

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4d ago 14:40

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Welcome back to the EUCVC Summit Talks, where we spotlight Europe’s corporate venture leaders, founders, and academics shaping the future of venture collaboration.

In this episode, Francesco Di Lorenzo, Associate Professor at Copenhagen Business School, takes the stage to share fresh research on the state of corporate venture capital (CVC) in the Nordics. From Sweden to Denmark, Francesco explores how corporates are experimenting with different venturing models, what makes CVC effective, and why Nordic corporates are some of Europe’s most important venture partners.

Rather than polished slides, Francesco offers candid reflections from the Summit itself: the open questions corporates face, the trade-offs in structuring CVC units, and why cultural change in the boardroom is key if corporate venturing is to succeed long-term.

🎧 Here’s what’s covered

00:00 Nordic snapshot — Why the region punches above its weight in tech and CVC.
01:00 Tools beyond CVC — Incubators, accelerators, and venture clienting: complementary or conflicting?
03:00 The CVC effect — Beyond capital: what corporates bring to the table (and why it matters).
05:00 Measuring success — Why CVC units last only 3.7 years on average and the difficulty of proving ROI.
07:00 Smart money vs. just money — How engineer exchanges and board participation can be more impactful than capital alone.
08:00 Venture clienting — A rising model where corporates act as first customers instead of investors—and the risks it carries.
10:00 Governance cycles — Why CVC units live and die with CEO tenure, and why board-level protection is essential.
11:00 Collaboration vs. competition — What data says about corporates co-investing (and when they don’t).
13:00 Nordic findings — Early results from research in Norway, Finland, and Sweden: small portfolios, early-stage focus, and bureaucracy as the top blocker.
14:00 AI paradox — Corporates investing in AI startups but cutting internal AI budgets—what this signals for the future.

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