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Portugal Must Retrain 1.3 Million Workers In AI To Close Productivity Gap

New study shows Portugal's low productivity has been a major issue โ€” itโ€™s less than half the EU average โ€” requiring AI training for millions by 2030 to catch up.

Emma AscottbyEmma Ascott
October 21, 2024
in News
Reading Time: 1 min read
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Portugal Must Retrain 1.3 Million Workers In AI To Close Productivity Gap

Figurines with computers and smartphones are seen in front of the words โ€œArtificial Intelligence AIโ€ in this illustration taken, February 19, 2024. REUTERS/Dado Ruvic/Illustration/File Photo

Portugal must retrain 1.3 million workers, or around 30% of its employed population, to work with generative artificial intelligence in order to close the productivity gap with the European Unionโ€™s average by 2030, a study showed on Monday.

Low productivity has long been Portugalโ€™s Achillesโ€™ heel, with productivity gains contributing, on average, just 0.6% to compound annual GDP growth between 2010 and 2022, less than half the EU average of 1.3%.

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The study released by consulting firm McKinsey points to a potential sharp increase in that contribution to 3.1% by 2030, in line with the projected EU’s average then, if the country quickly adopted automation and generative AI technologies, priming its workforce for the change.

Generative AI learns how to take actions from past data and creates new content โ€” a text, an image, or computer code โ€” based on that training, instead of simply categorizing or identifying data like other AI.

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โ€œIt is a unique opportunity for the country to compete directly with the developed economies of the world in terms of growth,โ€ McKinsey senior partner Duarte Begonha said.

In addition to the 1.3 million workers in need of new technological and social skills, it will be necessary to shift some 320,000 people working in roles such as customer service or administrative support to new jobs, and for the public, private and the education sector to work closely together.

โ€œThe big investment will be in changing processes, procedures and ways of working,โ€ he said, explaining that for every euro invested in generative AI technologies it will be necessary to invest 3 euros in managing the change in organizations.

(Reporting by Sergio Goncalves; Editing by Alison Williams)

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Source: Reuters
Tags: AIeuropeHuman Resources (HR)ProductivityTechnologyWorkforce
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Emma Ascott

Emma Ascott

Emma Ascott is the Associate Editor for Allwork.Space, based in Phoenix, Arizona. She covers the future of work, labor news, and flexible workplace trends. She graduated from the Walter Cronkite School of Journalism and Mass Communication at Arizona State University, and has written for Arizona PBS as well as a multitude of publications.

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