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Tag: Experimentation

  • How AI Is Changing Strategy: Rethinking What Your Business Is Designed to Do

    How AI Is Changing Strategy: Rethinking What Your Business Is Designed to Do

    October 08, 2026

    AI is advancing so quickly that companies can’t afford to treat it as simply another productivity tool; it is fundamentally reshaping strategy. In this final episode of our special four-part series on how AI is changing leadership, Wharton professor and AI expert Ethan Mollick explains why leaders need to rethink what their organizations are designed to do—and how work gets done. He discusses how AI agents are changing the role of managers, why companies need to experiment rather than wait for proven playbooks, and how leaders can create competitive advantage when everyone has access to the same frontier models. Mollick is author of the forthcoming book Co-Existence: The Next Phase of AI.

    Plus:

    • Why AI-driven productivity gains can disappear if companies don’t change their processes and incentives
    • The four capabilities that will become increasingly valuable: deep knowledge, wide knowledge, taste, and agency
    • Why companies should build for what AI will be capable of, not just what it can do today

    In case you missed it, you can find the rest of our AI series below.

    How AI Is Changing Innovation: Why Speed Alone Isn’t a Strategy

    How AI Is Changing Communication: Weighing Efficiency with Efficacy

    How AI Is Changing Talent, Not Just Tasks: Rethinking Where Human Judgment Matters Most

  • How AI Is Changing Innovation: Why Speed Alone Isn’t a Strategy

    How AI Is Changing Innovation: Why Speed Alone Isn’t a Strategy

    October 01, 2026

    AI is making it faster and cheaper than ever to turn ideas into prototypes, products, and businesses—but that abundance creates new challenges for leaders. In episode 3 of a special four-part series on how AI is changing leadership, we look at the ways industry leaders are using AI to truly gain a competitive edge and innovate for the future. Cisco Chief Product Officer Jeetu Patel explains how AI is changing the pace and nature of innovation, why human judgment and taste become more important when everyone has access to the same tools, and how companies can use AI to tackle problems they couldn’t have solved before. He also discusses the risks of AI agents, why organizations need new approaches to security and oversight, and how leaders can build a culture that embraces experimentation without sacrificing rigor or accountability.

    Plus:

    • Why deciding what not to build may become more important than deciding what to build
    • Why every major AI productivity gain can create a new human bottleneck
    • How Cisco used AI to dramatically accelerate the development of a new integrated management platform
  • The Hidden Costs of Monitoring Employees with AI

    The Hidden Costs of Monitoring Employees with AI

    Harvard Business Review Logo

    Colin Anderson/Stocksy

    AI is making employee monitoring cheaper, more granular, and continuous—but lower costs can encourage companies to overuse controls without considering their broader consequences. Research

    Linus Arauz operates 10 points of sale across two large airports and has responsibilities that extend to nearly 100 food and non-food retail locations across several airport programs. Some of those locations have no staff at all. Travelers simply walk up and take whatever they want off the shelf—a sandwich, a bottle of water. They’re supposed to pay, but no one is there to ensure that they do.

  • Research: Gen AI Is Collapsing Creative Processes

    Research: Gen AI Is Collapsing Creative Processes

    Harvard Business Review Logo

    Illustration by Alex Robbins

    Generative AI is transforming creative work by making it faster and easier to brainstorm and visualize ideas. But a new, yearlong study following senior creatives in charge of television and

    Imagine a photographer reviewing a concept image for an advertising campaign that the client has already approved. He notices a problem: The man in the image is wearing a baseball cap that casts his face in shadow, but his eyes are clearly lit, showing his intense stare into the camera. The photographer’s trained eye tells him immediately that that lighting is impossible. No real-world set up could produce it. The image had been created by a senior creative using gen AI, and the client had loved it. Now the production team has been tasked with recreating—with cameras and human actors—something that reality can’t match.