From a firm’s perspective, the emergence of a new technology wave is a new opportunity to generate a financial return. The question is precisely how. That topic remains as salient today, in the era of artificial intelligence, as it was when firms first encountered smartphones, the commercial internet, and personal computers. Before we fully embrace …
Artificial Intelligence and the Jevons Paradox
What can a nineteenth-century economist teach a twenty-first-century Chief Executive Officer (CEO) at one of the largest technology firms? More to the point, why is Microsoft's CEO, Satya Nadella, quoting William Stanley Jevons? Jevons was a dominant figure in economic thought in Britain during the second half of the nineteenth century, but not today. His …
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Spillovers, Bottlenecks, and More Invention After Invention
Epiphany plays an outsized role in the reductionist two-step model of invention. Step one is when an idea pops into an inventor’s head, and step two is when the invention spreads in an economy over time. This model is misleading in numerous ways that would take a book to enumerate. Today’s column focuses on step …
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Commercial and Scientific Prototypes
A prototype is a product or service's early sample, model, or release. It is built to test a concept or process and serves as a tangible representation of an idea. Some prototypes are primarily commercial, while others are scientific. The advent of digitization has significantly revolutionized the prototyping process over several decades in both commercial …
Party like It’s 1999?
Generative AI has created a gold rush today, but that rush has not yet grown into either a productivity boom or a financial bubble. There are good reasons to think this rush could become either one.Which one is just around the corner? Could it be both? In case you forgot, we did live through a …
After the Gold Rush
The commercial future of AI will soon be bigger than the actions of any firm, individual, research team, or open-source community. In the near term, a massive tailwind of potential use cases and nearly completed projects will determine the rate of progress in creating value for users and suppliers. Still, the source of the next …
The AI Gold Rush
Large language models (LLMs) have overrun commercial markets, more like a tsunami than a normal technical wave of interest. The topic is everywhere –news stories, blogs, podcasts, startup investments, analyst reports, hackathons, and government announcements. A virtual frenzy surrounds it. If you possess a technical background, you might find this frenzy puzzling. The technological roots …
Earning stripes in medical machine learning
Today we are living through one of those heady situations in which scientific, technical, and commercial frontiers all simultaneously advance in a grand interrelated dance. Advances in computer technology in the last decade opened up the potential for big gains in applications of neural networks aimed at recognizing and diagnosing visual images. Many startups and …
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Technical change can be awkward
Hat tip: Andrew McAfee

