How Competition Is Driving AI’s Rapid Adoption

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Artificial intelligence (AI) is engendering all kinds of breathless headlines, from being able to play Go to spotting rare cancer tumors. But how will AI impact the economy in broad terms? The answer hinges on both on what AI can be used for and the dynamics of a competitive race to adopt AI that’s set to unfold between firms.

New research from the McKinsey Global Institute simulates the potential global macroeconomic impact of five powerful technologies (computer vision, natural language, virtual assistants, robotic process automation, and advanced machine learning). It finds that AI could (in aggregate and netting out competition effects and transition costs) deliver an additional $13 trillion to global GDP by 2030, averaging about 1.2% GDP growth a year across the period. This would compare well with the impact of steam during the 1800s, robots in manufacturing in the 1900s, and IT during

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Automation Will Make Lifelong Learning a Necessary Part of Work

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President Emmanuel Macron together with many Silicon Valley CEOs will kick off the VivaTech conference in Paris this week with the aim of showcasing the “good” side of technology. Our research highlights some of those benefits, especially the productivity growth and performance gains that automation and artificial intelligence can bring to the economy — and to society more broadly, if these technologies are used to tackle major issues such as fighting disease and tackling climate change. But we also note some critical challenges that need to be overcome. Foremost among them: a massive shift in the skills that we will need in the workplace in the future.

To see just how big those shifts could be, our latest research analyzed skill requirements for individual work activities in more than 800 occupations to examine the number of hours that the workforce spends on 25 core skills today. We then

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What Successful Digital Transformations Have in Common

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Technological innovations have radically transformed the business landscape in many ways over the last two centuries, from the introduction of steam power to the market conquest of radial-ply tires. Research by McKinsey & Company and the McKinsey Global Institute shows that digitization is having the same radical impact. In particular, our research shows how digitization can significantly hurt incumbent firms in many industries — depleting as much as half the revenue growth and one-third of earnings before interest and taxes (EBIT) growth of companies that neglect to embrace digital innovations.

It is not too late for incumbents to reverse the digital curse and re-create a more profitable growth path if they are willing and able to invest more in digital than their peers and take the offensive by reshuffling their activity portfolios and beefing up remaining activities with new business models. On top of that, incumbents would be

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6 Digital Strategies, and Why Some Work Better than Others

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Digital technology has been roiling markets and disrupting companies for more than two decades, but despite that lengthy history, incumbents are still struggling to enact and deliver on digital transformations. The first challenge is disruption; digitization is enabling new, disruptive models that aggressively compete with legacy models, putting material pressure on incumbents’ revenue and profit growth. As incumbents fight back with their own digital strategies, our research shows that they often trigger a second wave of competition, closer to the notion of Schumpeterian imitation where incumbents start themselves to innovate, sometimes aggressively, against the threat of entrants slashing yet more revenue and profit growth. We estimate that on average, both waves of digital competition has taken out half of the annual revenue growth and one third of the growth in earnings from incumbents that have failed to respond to digital. The second challenge is that, even when companies do launch
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