Is Google Victim of the Innovator’s Dilemma with ChatGPT?

ChatGPT, an “intelligent” chatbot, represents a major breakthrough. One would have expected that Google, the leader in search engines for the last twenty years, which has been investing heavily in artificial intelligence, would have been at the origin of it, but it is not the case. Is Google the new victim of the innovator’s dilemma, a syndrome often observed when a leader is overtaken by a new entrant?

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Rethinking Risk-Taking: Unblocking Innovation by Challenging Mental Models

In the quest for innovation, the encouragement of risk-taking by employees is often ineffective because of entrenched, counterproductive mental models. One example is a successful manufacturing company whose commitment to quality has morphed into a stifling perfectionism that impedes progress. While the organization advocates risk-taking for transformation, it struggles to create change. This article explores the core of this challenge-the ingrained mental models that foster resistance-and advocates a balanced approach that reconciles innovation and stability.

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Assessing the Potential of ChatGPT: Lessons from the History of Innovation

[Version in French here]

Unless you’ve been living on Mars for the past few weeks, you couldn’t escape news about ChatGPT, the artificial intelligence tool that answers all your questions: summarizing an article, informing you about the economic crisis, writing a poem, etc. As with any new technology, it is presented as revolutionary by some and futile, useless, or even dangerous by others. While it will take time for the dust to settle, we can nevertheless avoid some of the pitfalls, and above all, the clear-cut positions, by relying on the history of innovation, which offers at least seven lessons for a more nuanced approach to the debate.

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Is Meta the new Kodak? Eight history lessons on the necessity and risks of big innovation bets

Meta, the parent company of Facebook, is doing badly. The weakness of Facebook, its legacy business, and doubts about the relevance of the colossal investment made in the metaverse, a system for creating a virtual world, call into question the company’s strategy. The combination of the weakness of the legacy business and the difficulty of launching a new business is not unlike that of Kodak twenty years ago. A look at the history of major bets made by companies to launch or renew themselves is useful to better understand the issues facing meta and to avoid rash judgments.

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Innovation: why the distinction between exploration and exploitation is problematic

In the field of innovation, the distinction between exploration and exploitation is universal. It is clear, it seems obvious, and it has become gospel in the world of innovation. Yet it is counter-productive, as it rests on questionable assumptions. It illustrates how the way we formulate a problem, i.e. our mental model, determines our ability to solve it. The wrong mental model locks us in, while the right one opens up possibilities. It’s time to let go the exploration/exploitation distinction.

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In uncertainty, what can you control?

In times of uncertainty, our instinct is to predict, but history shows that predicting the future is difficult. The problem goes deeper than prediction; it’s the misconception that prediction equals control. But there’s a more nuanced connection between prediction and control, one that suggests the potential of separating prediction from control and reveals that our inability to predict the distant future can lead to unexpected opportunities and innovation.

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Why you need to be (a little) conservative to innovate and change the world

How does great innovation truly happen? This question often kicks off discussions on innovation, with many expecting the classic tale of a visionary entrepreneur sparking a revolution. However, this idealized notion of a sudden “big bang” innovation can be problematic, leading to either a sense of resignation or a rush into monumental projects that often yield little. In reality, even disruptive innovation typically progresses incrementally, building upon past efforts and grounded in existing conditions.

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Redefining strategy for uncertain times: Learning from Apple’s 1997 Turnaround

The Covid shock in the spring of 2020 shattered strategic plans. The continuing uncertainty, exacerbated two years later by the invasion of Ukraine, has led some executives to question the very possibility of having a strategy when everything keeps changing. Are we living in a post-strategy world? The short answer is no; we need strategy more than ever, but it depends on how you define strategy. The Apple turnaround in 1997 provides a useful lesson.

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Why asking a innovation unit to be more disruptive is not a good idea

That innovation units created within large organizations have a difficult life is not new. Most of them disappear after three years on average, because after the euphoric start, they fail to become part of the life of the organization. But those that survive are not out of the woods yet, because they are caught between a top management that demands “more disruption” and an organization that, through its budgetary and control processes, removes any chance for a disruptive project to see the light of day. Getting out of this difficult situation requires being very clear about what “disruptive” means, and understanding the real nature of innovation.

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