2026 could prove to be just as turbulent and resilient as 2025 in economic terms. The use of the term “turbulent” is justified considering the geopolitical developments and tensions that have already marked the beginning of this year, and which constitute an additional source of uncertainty (the immediate short-term economic impact is expected to be minimal, with low oil prices offsetting the negative effect of increased uncertainty). The second term reflects a crucial aspect of our baseline scenario. However, it remains to be seen whether the global economy, and advanced economies in particular (the focus of this editorial), will manage to navigate the challenges ahead as they did in 2025
Private fixed investment in the United States is ‘K-shaped’. Investment in artificial intelligence has become a major driver of US growth, whereas non-AI adjacent components are contracting. However, AI investment is particularly import-intensive.
The Eurozone labour market remains dynamic. The unemployment rate, at 6.3% in September, remains close to historic lows, while net job creation, although slowing in 2025, continued in Q3 (+0.1% q/q). According to Eurostat, the Eurozone has created almost seven million additional jobs since the end of 2019.
There has been remarkably limited interest in Europe at recent international economic and financial gatherings, as if “Europe’s moment”, as ECB President Lagarde dubbed it back in the Spring, has already passed in the eyes of many. Meanwhile, European media outlets have been indulging in negative narratives about political risks, persistent industrial doldrums, and inability to implement reforms that might preserve Europe’s place in a world increasingly dominated by the US and China. And yet, under the radar, a lot of good things have been happening.
What are the common challenges and differences between the Fed, the ECB, the Bank of England, and the Bank of Japan? How are AI, climate change, and geopolitical tensions reshuffling the deck?
Artificial intelligence (AI) is a major technological upheaval with far-reaching economic implications. This economic literature review is both a practical exercise (it was written using generative artificial intelligence tools) and an analytical exercise, as it provides an update on the effects of this technology based on two complementary areas: productivity and growth, as well as employment and labour market dynamics.This literature review was written with the help of generative artificial intelligence tools, including OpenAI’s model on Azure and an internal BNP Paribas language model. The bibliographic references used for the review were independently selected and a detailed plan was drawn up to structure the content
Human activity is highly dependent on information. What to eat? Which movie to watch? Where to travel? What to study? Where to work? It all depends on information. The same applies to economic activity, where information has a crucial influence on business strategy: which products and services should we provide? Where should we produce them? How should we sell them? What is the marketing strategy? At which price? Et cetera.It also influences economic policy by governments, by central banks, and of course, information has a profound impact on the functioning of financial markets.
Oxford Insights’ AI 2023 preparedness index offers a great starting point to harness the digital divide across the region with Brazil and its vibrant Fintech sector on one end of the spectrum and Haiti on the other, lacking basic infrastructure. To that point-in-time snapshot, however, we can add a backward-looking component (investment rate over the past decade) and a forward-looking one (projected fiscal space) to get a more complete picture of some of the challenges lying ahead as the region furthers its digital transformation.
