The global footprint of generative AI

Recently, I came across the Cartography of Generative AI, a fabulous resource created by the Estampa group. Image source: https://cartography-of-generative-ai.net This resource shows how chatbots and other gen Ai interfaces are part of a dense, intricate and vast global system of physical resources, human labour, data flows, and economic structures.  The right area of graph … Continue reading The global footprint of generative AI

Key points from OECD’s report on Generative AI and SMEs

A new report from the OECD sheds light on how more than 5,000 small and medium-sized enterprises (SMEs) across seven countries (Austria, Canada, Germany, Ireland, Japan, Korea, and the UK) are engaging with generative AI. This is an important report because while SMEs form the backbone of most economies, much of the of the discussion … Continue reading Key points from OECD’s report on Generative AI and SMEs

The Rise of AI-Enhanced Scams — and How to Protect Yourself

I was recently interviewed by the BBC about the use of AI-generated images in scam websites. The story followed reports that a small jeweller was being inundated with calls and emails from customers mistaking her legitimate business (Scarlett Jewellery) for a scam website with a very similar name (Scarlett Jewels). One of the features of … Continue reading The Rise of AI-Enhanced Scams — and How to Protect Yourself

The role of emotions in B2B marketing

We often assume that emotions play little to no role in business-to-business (B2B) relationships. Rather, decisions in a B2B context are deemed to be purely rational, and to follow a complex process with multiple decision makers. Yet, a metanalysis of research on this topic, conducted by Anne-Madeleine Kranzbühler, Alfred Zerres, Mirella H. P. Kleijnen and … Continue reading The role of emotions in B2B marketing

LLMs reflect data about how people believe the world to be, not data about how the world is

It is widely acknowledged that answers produced by large language models (LLMs) reproduce the biases that informed how they were trained. For instance, assuming that doctors are male while nurses are female. Though, that bias doesn’t simply reflect the systemic inequality in our society. Rather, it reflects the prevalent stereotypes, that is the type of image commonly … Continue reading LLMs reflect data about how people believe the world to be, not data about how the world is

When Generative AI Makes Us Smart vs. Average

It has been noted by many different people that large language models (LLMs) can, to a certain extent, democratise access to information. Because these models are trained on massive datasets, and use an intuitive prompt-and-response format, they enable users to quickly learn the basics on a given topic or, conversely, do a deep dive on narrow … Continue reading When Generative AI Makes Us Smart vs. Average

July and August 2025 round-up

This summer was mostly about celebrating several milestones in the kiddo’s life: end of school celebration, leavers’ ball, 18th birthday, A-level results’ day, driving test… But I also enjoyed catching up with friends, reading various fiction and non-fiction books, and swimming lots and lots and lots. Research We finished analysing the first stage of data collection … Continue reading July and August 2025 round-up

Interviewed for the podcast “Business Talk”

Recently, I was a guest in the podcast “Business Talk”, hosted by Deepak Bhatt. We explored why digital technology is sometimes helpful and sometimes a hindrance, based on the paper “The impact of technology: how features, resources and task demands shape digital well-being”. You can read the blog post about that paper, here. It was … Continue reading Interviewed for the podcast “Business Talk”