The first robust empirical evidence about employment effects of AI in the USA has been published by the Stanford Digital Economy Lab by Chen, Chandar and Brynjolfsson (2025). A previous paper by Wang and Wang (2025) highlighted the comparative advantage of persons who use AI in their work compared to others and the authors coined the term “learning by using technology”. The prediction of the model was that there might be job losses of more than 20% in the long run and half of this already in the first 5 years of the introduction of the technology. The Stanford economists have estimated with real world data these effects in the USA and find quite surprisingly that the negative employment effects of AI have the strongest impact on young labor market entrants with few years of labor market experience. Middle-aged and more senior employees seem to benefit from “tacit knowledge” about the work, which is more difficult to replace with AI, at least for the time being of the early days of AI. This evidence is based on recent payroll data from the largest payroll processing firm “ADP” in the USA which has firms overrepresented from the manufacturing and services industries as reported in another paper (Firm size maybe another source of bias). However, the effect that youth 22-25 years of age suffered the most calls into question the common belief that older workers are more likely to suffer the consequences as during in the rise of the digital economy around the year 2000. (AI Image created with Canva)































The flowering season starts earlier in Europe and bees start earlier ro their collection of nectar and their service of pollination to other flowers. In early April 2025 in France near Paris we observe wild bees already in their daily routine. However, the risk of cold nights is still there, albeit those building their homes below the surface are a bit less at risk during a frosty night. Seeking a clever shelter is a good strategy for survival particularly at times of global warming. Some kinds of wild bees seem to sense this already changing homes from one season to next one. Humans remain their toughest enemies as they restrict their choices quite severely. Man-made pollution and herbicides are beyond bees’ control and cause havoc in the ecosystem of bees. Apiculture is an interesting science also for social scientists as this forerunner species of the matriarchy has evolved into a well-organized productive society. They are a bit harsh to each other and communication is rather unidirectional, but an interesting social cosmos of its own kind.
