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AI chatbots most likely to automate communication tasks: study
Microsoft researchers have found that AI chatbots like Copilot are most likely to automate tasks related to communication and information sharing.
Microsoft Copilot is the US-based tech firm’s generative AI chatbot, formerly known as Bing Copilot.
The study analyzed 200,000 anonymized conversations between US users and Copilot, identifying roles such as translators, historians, and writers as the most exposed to AI-driven task automation.
Jobs that involve physical labor, such as phlebotomists, nursing assistants, and hazardous materials removal workers, showed less overlap with AI chatbot capabilities.
The researchers noted that while AI can support many research, writing, and communication tasks, it is not yet able to fully perform any single occupation.
They also cautioned that their findings focused on large language models and do not account for other types of AI that could impact jobs involving machinery or physical work.
The paper did not address whether AI adoption would lead to job losses or gains.
🔗 Source: Business Insider
🧠 Food for thought
1️⃣ AI targets different job types than previous technological revolutions
Microsoft’s findings that AI most affects communication and information-based roles like translators and historians represent a significant shift from past technological disruptions.
Historical patterns show that previous technological revolutions primarily displaced physical and manual labor. For example, the Industrial Revolution eliminated many agricultural jobs while creating manufacturing opportunities 1.
The current AI revolution instead targets knowledge work and white-collar positions, affecting jobs that were previously considered safer from automation.
This shift means that highly educated workers in communication-intensive roles may face more disruption than in previous technological transitions.
This suggests we are witnessing a major technological shift that primarily affects cognitive rather than physical work, potentially requiring different policy responses and retraining approaches than past economic transformations.
2️⃣ Companies investing in AI see substantial economic gains despite job concerns
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