Logan Graham

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About

Logan Graham is a leading researcher at the intersection of artificial intelligence, labor economics, and the future of work. His work provides crucial, evidence-based insights into how machine learning and robotics are reshaping the global workforce. Graham’s most impactful contribution is his pioneering 2019 study, “Inferring Work Task Automatability from AI Expert Evidence,” which has garnered 18 citations and is widely recognized as a foundational dataset in the field. In this landmark paper, he directly addressed the widespread but often unfounded alarm over job automation by surveying over 150 top academics and industry experts in machine learning and robotics. This rigorous, expert-driven approach produced the first systematic dataset on which specific work activities can realistically be automated using current and near-future technologies. By moving the debate from speculation to data, Graham has provided policymakers, economists, and technologists with a critical tool for understanding the nuanced, task-level impacts of AI, rather than broad, sweeping predictions of job loss. His work is essential reading for anyone seeking a sober, scientifically grounded perspective on the future of employment in an age of intelligent machines.