This Masterclass event will be held on May 7, 2024, at 16:00 (Japan time). Hybrid (online and in-person) access is available. For access: contact@aiindustryfoundation.org.
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A recent study conducted with Boston Consulting Group examined the impact of AI on complex consulting tasks. Results showed that for tasks within AI capabilities, consultants using AI were more productive and produced higher-quality results. Further, AI augmentation benefited consultants across all skill levels. However, for tasks beyond AI capabilities, consultants using AI were less likely to produce correct solutions. Two patterns of successful AI use emerged: "Centaurs" divided tasks between themselves and AI, while "Cyborgs" fully integrated AI into their workflow.
In the rapidly evolving landscape of business consulting, harnessing the power of artificial intelligence (AI) is no longer just a competitive advantage—it's a necessity. Recent research has unveiled compelling insights into the transformative potential of AI in consulting, revealing substantial enhancements in productivity, speed, and quality of results. As executives leading AI businesses, understanding and leveraging these findings is pivotal for staying ahead of the curve and maximizing the impact of AI augmentation within your organization.
In this session, Blaine will explore the comparative benefits between the “Centaur” and “Cyborg” mindsets, and explore how executives can better lead their AI businesses to new heights of success.
The public release of Large Language Models (LLMs) has sparked tremendous interest in how humans will use Artificial Intelligence (AI) to accomplish a variety of tasks. In our study conducted with Boston Consulting Group, a global management consulting firm, we examine the performance implications of AI on realistic, complex, and knowledge-intensive tasks. The pre-registered experiment involved 758 consultants comprising about 7% of the individual contributor-level consultants at the company. After establishing a performance baseline on a similar task, subjects were randomly assigned to one of three conditions: no AI access, GPT-4 AI access, or GPT-4 AI access with a prompt engineering overview. We suggest that the capabilities of AI create a “jagged technological frontier” where some tasks are easily done by AI, while others, though seemingly similar in difficulty level, are outside the current capability of AI.
Navigating the Jagged Technological Frontier: Field Experimental Evidence of the Effects of AI on Knowledge Worker Productivity and Quality, Dell'Acqua and McFowland III et al. September 2023.