Two years ago, closing a session on the digital transformation of consulting, I left my students with six open questions — I didn’t have the answers, and neither did the industry. This post is the scoreboard I couldn’t fill in then.
Two years ago, closing a session on the digital transformation of consulting, I left my students with six open questions — I didn’t have the answers, and neither did the industry. This post is the scoreboard I couldn’t fill in then.
When talking about the impact of AI on jobs, the dominant narrative is augment vs automate. The technology is described as either a substitute for or an enhancer of human labour. However, when we look closely at what humans really do when they use AI at work, we see, in addition to the familiar flows...
Over the past few years, organizations have focused on identifying high-value use cases for AI: enhancing marketing performance, improving financial analysis, accelerating software development, and more. These discussions largely centered on a familiar dilemma: how to balance automation with human augmentation. In 2025, however, the conversation has shifted. With unprecedented adoption levels and dramatically lower...
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
Creative processes have been traditionally highly intuition-based, leaving little room for data analysis. However, this changed with the digital transformation of creative industry and companies in this industry made their creative decision process more evidence-based, while retaining the best features of artistic intuition and human creativity. How did this transformation happen? How to leverage the...
For once, consulting companies are no longer the analysts of the digital transformation but their industry is under digital transformation: big data, AI and Generative AI are transforming forces. How is changing consulting with data and AI? What are the strategies of major players? How do value drivers change?
How to differentiate signal from noise in generative AI? On the one hand, McKinsey predicts that generative AI could add the equivalent of $2.6 trillion to $4.4 trillion annually. On the other hand, we have plenty of studies (even from McKinsey) which conclude that value capture is much harder to achieve than what predictions estimate...
What if the spread of generative AI makes human resources more strategic? It might appear paradoxical and counter intuitive but when analysing 3 impacts of these technologies in the workforce, the role of human resources appears more critical and strategic. If so, what actions to implement to leverage human assets and build an advantage?
With the development of Internet of Things technologies (sensors, connectivity, data storage) a lot of product manufacturers changed their business models from product provider to ecosystem orchestrator. It’s definitely not an easy transformation, the road being paved with significant hurdles. Research conclude on 3 changes to succeeed in this journey and highlight the role of...
A great deal of performance improvements through AI stem from automating tasks and moving labor from humans to machines. However, recent research highlight that the reality is more subtle and that human resource is a major component and pre-requisite for leveraging performance improvements through automation with AI. Additionally, using AI has significant impact on staff...