The future of work may not be about replacing humans with machines, but multiplying human capacity through digital twins that work simultaneously across multiple tasks. This transformation promises unprecedented productivity gains, but raises profound questions about compensation, ownership, and labour rights when one worker can do the work of five.
AI was supposed to make knowledge work easier and more efficient. Instead, three-quarters of employees report increased workloads, and nearly half admit they have no idea how to extract the promised productivity gains. What went wrong – and more importantly, how can we fix it?
Enlightenment philosophers believed that knowledge liberates. The EU AI Act relies on the same conviction, imagining that an enlightened citizen can identify deepfakes. In the third and final part of this blog series, we examine the transparency paradox and three alternative paths forward.
The EU AI Act seeks to bring order to a field that has transformed into the Wild West of artificial intelligence. Yet its transparency requirements collide with a fundamental question about the boundary between deception and artistic freedom. Humanity has always used artificial means to enhance storytelling, and synthetic media can, at its best, enrich culture, if regulation can distinguish context and purpose from the technology itself.
Algorithms allocate breaks, determine routes, and evaluate performance—management is shifting from human to machine. But what does algorithmic management mean for workers, society, and human leadership in a world where machines increasingly perform supervisory roles with greater efficiency?
