It’s been one year since the public release of ChatGPT and since then a lot of discussions have taken place about the impact of the technology in the workplace. Some of the discussions were triggered by research. In this post, I offer 5 insights from the research published this year and conclude with 5 implications...
Big data and Artificial intelligence technologies have been described as major performance improvement drivers and many research have quantified their impact. However, these technologies could paradoxically have a negative effect on corporate performance. In which situations could they decrease performance? What are the strategic implications?
Imagine a world where the articles you read, the financial reports that inform major investments, and even the data labeling that trains the very algorithms we rely on are not the products of human intellect but of artificial intelligence. This is not a glimpse into a distant future; it’s the reality of today’s digital ecosystem....
Over the last two decades, open source has become a significant and sometimes dominant distribution channel and business model for software. Companies like Open AI (at the beginning) and Hugging Face have based their success on this model. Other companies, such as Meta have used open source to weaken a competitor’s position. How to decide...
While the current trend emphasizes the crucial role of data in decision-making, there are scenarios and contexts where not using data may be beneficial. In a world obsessed with data, could deliberately ignoring it actually become a secret weapon for innovation, agility, and intuition?
In a recent research, 30 years of chess games are analysed and authors conclude on the effect of AI on training for decision making. On one side, practising with AI helps some players to get better and on the other side, it fails at teaching one particular aspect of strategic thinking: exploiting an opponent’s failure....
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?
All businesses, once they achieve a leading market position try to defend themselves against potential competitors. Business moats, a term coined by Warren Buffett, are competitive advantages a company establishes to protect its market position and profitability from competitors, just as a moat protects a castle from invaders. When it comes to Generative AI, would...
Generative AI tools like ChatGPT and Midjourney create a wide variety of automation opportunities and tilt the balance of power in a lot of industries. Generative AI startups and digital giants are trying to make a dent in non-digital-native markets and capture part of their value. At the same time, the battle rages within the...
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