Our future with AI

Authors: Khal Soufani, Samsurin Welch, Eva Morales

While AI has come under scrutiny for energy use, a less discussed but equally concerning trend is the growth in resource use and electronic waste from computing and data centre infrastructure. Circular economy principles can help mitigate negative environmental and social impact from the AI boom. Companies need to think about how they can use equipment and materials longer, differently, again, and less.

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Authors: Luning Sun, Yuzhuo Yuan, Yuan Yao, Yanyan Li, Hao Zhang, Xing Xie, Xiting Wang, Fang Luo, David Stillwell

This large-scale benchmark study finds that top LLMs like GPT-4 match or surpass humans in certain creative tasks. While humans still dominate creative writing, LLMs excel in divergent thinking and problem solving. When asked multiple times, LLMs can collectively rival a small team of human creatives.

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Authors: Micha Kaiser, Cass R. Sunstein, Lucia A. Reisch | Journal of Risk and Uncertainty

Drawing on nationally representative surveys in six countries, this study explores when and why people prefer human decision-makers over algorithms. Despite clear performance benefits in some cases, people tend to favour humans—especially in personal or high-stakes scenarios like hiring or health. The study finds that prior positive experiences with algorithms can shift preferences, but informational nudges alone are not enough to close the gap.

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Authors: Yingyue Luan, YeunJoon Kim, Jing Zhou | Academy of Management Proceedings

In two studies, researchers tested how human-AI collaboration evolved across creative tasks. Results showed a surprising trend: while creative individuals maintained their edge, less creative participants saw their joint creativity with AI decline—often because they failed to shift from idea generators to strategic supervisors.

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Authors: Matthew Jones | Information and Organization

This philosophical paper critiques simplistic views of AI agency. It contrasts popular notions of AI autonomy with deeper relational and sociotechnical perspectives—arguing that agency emerges through interaction, not as a built-in property. Essential reading for rethinking AI’s role in society.

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Authors: Micha Kaiser, Peter Ochieng, Billy Shi, Cass R. Sunstein, Lucia A. Reisch | arXiv

This study shows that fine-tuned large language models can forecast the outcomes of behavioural food policy interventions with up to 80% accuracy. By simulating results from over 2 million observations, the approach could revolutionise how we design effective, evidence-based policies for healthier, more sustainable diets.

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Authors: Stefan Menges et al. | Academy of Management Discoveries

This special issue in Academy of Management Discoveries shifts the spotlight from machines to people. It explores how humans imagine, adapt, and respond to AI in the workplace – and why understanding this human lens is key to designing future work that is ethical, inclusive, and meaningful.

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Authors: Hamza Mudassir, Kamal Munir, Shaz Ansari, Amal Zahra | Harvard Business Review

In a bold simulation, GPT-4o outperformed top human CEOs in strategy, product design, and market growth — but failed to survive black swan shocks. The experiment reveals AI’s power and pitfalls, suggesting the future of leadership isn’t AI vs. humans, but a hybrid of both.

Read the article in Harvard Business Review