Artificial intelligence is advancing, but its progress is uneven, affecting various jobs and industries differently. According to a 2024 analysis by McKinsey & Co., demand for certain occupations will decline due to AI’s ability to handle specific tasks such as data entry and routine customer inquiries. However, roles in health and STEM fields, where tasks require complex judgment and empathetic care, are projected to see growth. This unevenness highlights the essential friction factors — such as human assurance, regulation, and error tolerance — that slow down automation’s adoption. Executives should understand that success in integrating AI will depend on navigating these challenges, rather than expecting a quick takeover of human roles.
The article identifies three stages of AI integration: Assist, Reshape, and Replace, focusing on how different tasks fall into these stages based on their amenability to automation. It stresses that while some tasks are well-suited for AI, others remain heavily reliant on human involvement due to the nuanced nature of the work. This is particularly evident in fields such as piloting, medicine, and education, where the combination of judgment, relational depth, and regulatory issues slow down the full implementation of AI. The author encourages leaders to stay grounded and accept that AI will more often reshape responsibilities than completely replace jobs, allowing for a gradual transition.
👉 Pročitaj original: MIT Sloan Management Review
