In a world where robots and AI are rapidly advancing, the question of their place in the workplace is becoming increasingly complex. The recent rejection of a robot magician, D4YRL, by the prestigious Magic Circle organization, highlights the ongoing debate about the boundaries of AI. As AI continues to shape our jobs and, potentially, our very nature, it's crucial to examine the impact it has on our work and our humanity. The FT journalist Sarah O'Connor delves into this topic in her book, 'We Are Not Machines', offering a thought-provoking exploration of the future of work and the role of AI. O'Connor's work provides a glimpse into the lives of Amazon employees, translators, and other workers affected by AI, raising questions about the nature of human intelligence and the future of employment. One of the key insights from O'Connor's book is the idea that we may be 'robotizing ourselves' as we rely on AI to automate tasks. This raises concerns about the potential loss of creativity and human connection in the workplace. For example, translators who once exercised their creativity now spend their days correcting AI-generated text, a job known as machine translation post-editing, for a fraction of the pay. This shift in the nature of work highlights the need for a careful consideration of which tasks should be automated and which should remain human-centric. O'Connor's book also highlights the importance of setting boundaries for AI in the workplace. She argues that just because a robot can technically perform a task, it doesn't mean it should. This is exemplified by the story of a Dutch nurse who provides care with humor and empathy, qualities that a robot carer cannot replicate. The author emphasizes that technology is designed and adopted by humans, and it's reasonable for people to decide which aspects of work should be automated and which should remain human-led. The influence of billionaires like Elon Musk and other tech bros in shaping the future of AI and robotics is another critical aspect of this discussion. Musk's vision of a growing role for humanoid robots and his refusal to cooperate with unions raise concerns about the potential exploitation of workers. The consolidation of Musk's economic power through SpaceX's IPO and his alleged role in inciting racist riots further underscores the need for a balanced approach to AI integration in the workplace. O'Connor's reporting reveals stark differences in how technology affects workers' lives, depending on their bargaining power. In Sweden, for instance, union-employer negotiations have led to the successful implementation of autonomous underground trucks in mines. Conversely, the majority of workers lack the leverage to negotiate, leaving governments as the potential guardians of AI boundaries. The Trades Union Congress and the Institute for Public Policy Research in the UK have called for employees' rights to negotiate before new technology is deployed, but ministers may be cautious due to their enthusiasm for AI's productivity benefits. The disproportionate influence of men behind AI models is another cause for concern, as O'Connor points out. This issue is particularly relevant given Musk's growing power and influence, as evidenced by SpaceX's market dominance in space exploration. The comparison between Musk's market control and the East India Company's historical monopoly on maritime commerce serves as a warning. History suggests that entrenched power and exploitation can lead to significant intervention by states, with costly consequences. In conclusion, O'Connor's book highlights the need for a thoughtful and balanced approach to AI integration in the workplace. As technology continues to advance, it's crucial to consider the impact on human workers and to set boundaries that protect our jobs, creativity, and humanity. The future of work should be a collaboration between humans and technology, where the human mind, body, and soul are valued and respected, but this vision can only be realized through a fight for the future of work.
