Strategy Summit 2026: Who’s Going to Succeed with AI?

Key takeaways

The future of AI adoption is uncertain, and organizations must commit to utilizing AI and measure progress actively.
Employing an agile approach rather than traditional planning-heavy methods will help organizations navigate the complexities of AI.
AI has the potential to strengthen competitive advantages for companies that embrace it fully, rather than level the playing field.
Cultural adaptation in the workplace is vital to effectively integrate AI, focusing on outcome-oriented goals instead of purely process-driven metrics.
Leaders should encourage experimentation and learning from failures while also ensuring a diverse talent pipeline for sustainable growth.

Summary

The Uncertainty of AI Adoption

Andy McAfee discusses the current state of AI, emphasizing that organizations are caught in a 'deep uncertainty' regarding the productivity benefits of AI technologies. While some economists argue that significant productivity gains are on the horizon, surveys of CEOs reflect hesitance and skepticism about these projections. McAfee shares insights into three possible futures concerning AI's impact—either ushering in abundance, leading to extinction, or continuing the status quo. He highlights the need for companies to embrace AI despite the uncertainties surrounding its impact.

A Playbook for Succeeding with AI

McAfee proposes a three-part playbook for organizations navigating AI adoption amidst uncertainty. First, companies should make a strong commitment to AI, setting clear objectives and performance indicators to measure progress. Second, he mentions the necessity of adopting an agile methodology over traditional waterfall methods, advocating for rapid experimentation and learning through feedback cycles. Lastly, he stresses the importance of recognizing and disseminating best practices from AI power users within organizations to maximize the overall impact of AI.

Future of Work and the Role of AI

The conversation shifts to the future of work and how AI will change management structures and job profiles. McAfee challenges the notion that AI will level the competitive playing field, asserting that it will likely magnify differences between organizations. He discusses the potential reduction in middle management roles as AI takes on administrative tasks, allowing top talent to focus on innovation and critical thinking. Moreover, he highlights the importance of maintaining a diverse pipeline of entry-level talent who will be the future AI enthusiasts.

Understanding Success Metrics in AI Implementation

McAfee addresses key performance indicators (KPIs) and success metrics related to AI. He points out that to see real changes in productivity and efficiency through AI, organizations must track its usage effectively. Adoption metrics should be monitored to ensure that AI tools are evenly leveraged across the workforce, preventing a divide between power users and those still hesitant to adopt new technologies.

Cultural Adaptation to AI and Learning from Failures

The discussion also delves into organizational culture regarding AI use. McAfee encourages organizations to create an outcome-focused culture that minimizes 'work slop', or low-quality AI-generated content. He emphasizes the importance of allowing teams to experiment, learn from failures, and embrace the iterative nature of AI development. Lastly, he provides suggestions for leaders to identify the difference between reversible and irreversible decisions—encouraging experimentation within safe boundaries.

Show notes

Artificial intelligence is advancing quickly, but its real impact on productivity, jobs, and competitive advantage is still uncertain. In this four-part special series, we'll share conversations from the recent HBR Strategy Summit to help you get ahead. In this episode, Andrew McAfee, principal research scientist at MIT and cofounder and codirector of the MIT Initiative on the Digital Economy at the MIT Sloan School of Management, will explain why we’re in a moment where “nobody knows anything” about how AI will ultimately reshape business—and what leaders should do anyway. Plus, he argues cutting entry-level hiring because of AI could be a major long-term mistake. HBR editor at large Adi Ignatius contributes audience questions.