For the past two decades, the prevailing narrative in corporate strategy has been clear: digital technologies favor specialization, asset-light models, and ecosystem thinking. Companies were told to focus on their core, outsource the rest, and leverage platforms to scale quickly. And for a time, that approach delivered extraordinary results. But something curious is happening. Tech...
In the race to unlock value from AI, most organizations start with strategy decks, roadmaps, and ROI calculators. But what if the breakthrough insight isn’t buried in a spreadsheet—what if it’s waiting at the other end of a rough prototype and a bold experiment? After 50 workshops exploring AI opportunities with executives, one lesson stands...
What’s your Instagram data worth? Most people don’t know. We sense data is valuable, but struggle to define how and why. For business leaders, this isn’t a theoretical issue. Companies that harness data effectively outperform their peers. But value doesn’t come from data alone. It comes from how you use it. In our book Datanomics,...
Every day, more companies adopt AI, yet profits remain flat. Stuck in the “light bulb phase”, most tweak the old instead of transforming the core. This article shows how to unlock true value.
The first experimental studies which addressed the question concluded that lower performers were getting a bigger productivity boost thanks to AI than higher performers. Some recent study contradicted these results. The research In the study where researchers conducted an experiment with 444 professional writers, the conclusion was that initial inequalities in productivity between participant are...
Most AI projects undertaken by organisations fail. The reason may lie in the lack of a solid strategy. Alessandro Lanteri, Louis-David Benyayer and Lorena Blasco-Arcas created a roadmap to guide organisations in the design, development and implementation of an AI strategy. Read on LSE Business Review
With AI systems being more and more used to complement human tasks, the question arises about the changing nature of work: what does AI change to jobs? The research Three recent studies have explored the question in different settings: coders, R&D teams and professional writers. A first study leveraged millions of work activities over a...
Recent studies have explored how performance varies across three approaches: human-only, AI-only, and human–AI collaboration. The findings, however, are inconsistent. Some studies suggest that augmenting humans with AI yields better outcomes, while others show the opposite. This heterogeneity calls for a closer analysis to understand when is augmentation better than automation and when is it...
As part of the 2024 ESCP Impact papers series, my colleague Howard Zhong and I were happy to contribute with a piece pleading for augmentation over automation.
Technologies tilt the balance of power in markets in particular because they change the sources of competitive advantage: some previous sources are no longer relevant and new ones appear. Artificial Intelligence is no exception to this history. How do sources of competitive advantage change with AI? Which are outdated? Which are new?
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