How innovators negotiate entrenched mental models. Lessons from Thomas Edison

Innovation, the driving force behind progress, often faces a formidable adversary: entrenched mental models. These cognitive frameworks shape our understanding of the world and can become barriers to the acceptance of breakthrough ideas. Managing the dynamic between innovation and prevailing mental models is the innovator’s challenge. Thomas Edison’s promotion of electric lighting over gas provides an example of how this challenge was successfully met.

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How declining organizations create an imaginary double

Organizations in decline tend to create an imaginary double in which they lock themselves. This double is themselves, but in an idealized version. It is a mask that they create to hide and to insulate themselves from a reality that they refuse, letting the world go without them, even against them. The dissolution of this double, i.e. the acceptance of reality, however unpleasant it may be, is a prerequisite for any recovery. A good illustration of this is provided by the Apple turnaround in 1997.

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Why rich peoples’ whims are useful for innovation

What do rich people do when they are bored? They embark on an innovation project. Conquer Mars, cross the Atlantic, extend human life, invent fundamental artificial intelligence, create a robot, etc. As an expression of their promoters’ ego, these projects are often considered useless and qualified as whims, i.e. a capricious and unreasonable envy. But is it so sure? What if (some of) the whims of today were the useful innovations of tomorrow? What if we should be careful not to pass moral judgment on both what is being done (useless!) and on those who are doing it (the rich and their whims)?

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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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