Germany’s Innovation Paradox

Posted by Mihai Diga
On 30/07/2026

In 1990, a group of brilliant engineers set out to build the future. They envisioned mobile and cloud computing, digital assistants, connected devices, mobile commerce, and software ecosystems. Their company was called General Magic. General Magic did not lack talent, vision, funding, or prestigious backers. It failed because the ecosystem and infrastructure were not ready, […]

We’ve Seen This Movie Before

Posted by Sara Husk
On 16/07/2026

The Chief AI Officer is about to relive the Chief Innovation Officer’s hardest decade, in fast-forward. If you lived the first one, you can already see the second one coming. Someone decided the innovation team, or you specifically, should own or maybe even co-own the AI agenda, and the pilots, the pressure, and the board’s […]

Why You Shouldn’t Have An Innovation Portfolio (according to HBR)

Posted by Robyn Bolton
On 10/07/2026

You are a savvy manager, so you know that you need an innovation portfolio because (1) a single innovation isn’t enough to generate the magnitude of growth your company needs, and (2) it is the best way to manage inherently risky endeavors and achieve desired returns. Too bad you’re wrong. According to an article in […]

The Problem with Stage Gates Isn’t the Gates

Posted by Dan Toma
On 08/07/2026

What makes stage-gate governance so frustrating in many organizations is that it unintentionally trains teams to behave in exactly the opposite way innovation requires. Instead of creating transparency, it creates presentation theater. Instead of encouraging fast learning, it encourages delayed escalation of problems. And instead of helping leadership stay closely connected to innovation efforts, it […]

What Bespoke Tailoring and Vibe-Coding Have in Common

Posted by Iliriana Kaçaniku
On 02/07/2026

And why vibe-coding enterprise hackathons (aka challenges) may be the best thing your organization can do for its employees right now. Before I could read or write, I could make clothes. For my doll, admittedly, but still. I grew up with a deep love for bespoke tailoring, the discipline of designing one unique piece for […]

The Evolution of Go-to-Market: Building a Commercial Learning System

Posted by Dan Toma
On 18/06/2026

Over the last two decades, companies have become better at managing technical uncertainty. Across industries, product development has shifted toward iterative methodologies like Lean Startup, agile development, and design thinking. Companies are no longer strangers to prototypes, MVPs, and pilots. The underlying logic is simple: if something is uncertain, test it early and continuously before […]

Why Traditional Performance Management Kills Innovation

Posted by Cris Beswick
On 13/05/2026

Research reveals a troubling reality that most HR departments refuse to acknowledge: employees consistently report that their performance review process negatively shapes their view of HR and adds little value to actual performance improvement. Yet organisations continue investing millions in annual performance management systems that do precisely what they were designed to do—optimise for predictability, […]

Why “Cost of Failure” Is One of the Most Important Innovation Accounting KPIs

Posted by Dan Toma
On 11/05/2026

Often, at conferences or during client engagements, we get asked what the single most important KPI in Innovation Accounting. Usually, the question behind the question is this: “What is the one metric a CFO will actually care about?” Or put differently: “What KPI ensures the innovation department is not seen as a Mickey Mouse function […]

Who Should Own the AI Budget—and Why This Is a Terrible Question

Posted by Dan Toma
On 03/05/2026

Artificial intelligence has quickly moved from being an experimental technology to becoming one of the largest budget priorities in most organizations. In many companies today, a significant portion of discretionary spending is being redirected toward AI initiatives, pilots, tools, talent, and infrastructure. As usually happens in corporate environments, budget allocation is never just about money—it […]

Why AI Projects Fail: 6 Mistakes That Kill ROI (and How to Fix Them)

Posted by Dan Toma
On 17/04/2026

Most AI projects don’t fail because of the technology—they fail because of how they’re implemented. Despite massive investment, up to 90% of AI initiatives never deliver real ROI. This article breaks down the most common mistakes organizations make—and how to avoid them.

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