Bridging the innovation gap
Andrés Rodríguez-Pose and Zhuoying You show how artificial intelligence and robotics present a potential solution to the innovation gap problem for cities in China
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Employment
AI to rescue the lost generation
The UK has nearly 9 million people who are economically inactive. Jonathan Sharp discusses how AI technology can play a pivotal role in providing innovative solutions to help get people back into the workplace
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Heat stress at work
There are significant consequences of climate change for public health. Aude Cefaliello argues that intense heat is not just a hot topic but a political emergency and we must rethink how work is organised
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Should AI stay or should AI go?
There is considerable disagreement about the growth potential of AI. Francesco Filippucci, Peter Gal, Cecilia Jona-Lasinio, Alvaro Leandro and Giuseppe Nicoletti argue that the promises and perils of AI-related economic growth is dependent on domestic and global governance issues
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China’s doom loop
Jose Caballero examines China’s demographic trends and argues that a dramatically smaller (and older) population could create a devastating global slowdown
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The 56-billion-dollar question
Some worry about the concentration of power accumulated by some charismatic leaders. Sverre Spoelstra asks how valuable is Elon Musk’s ‘charismatic’ leadership?
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Asbestos: a time bomb that needs to be defused
Asbestos is responsible for 90,000 deaths annually in Europe. Tony Musu presents a clear case for why it is time for the EU to defuse the asbestos time bomb once and for all
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Making industrial policy work
The decarbonisation of the automotive industry is creating a skills shortage. Conor McCaffrey and Niclas Poitiers argue for EU member states to allow the EU to get more involved in skill policies
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New technologies in the workplace
The slow but steady uptake of AI in Europe impacts the quantity, quality and nature of jobs as well as worker wellbeing. Laura Nurski provides a round-up of project research
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Rebalancing AI
There is a lot of optimism about AI and increased productivity. Daron Acemoğlu and Simon Johnson warn that to support shared prosperity, AI must complement workers, not replace them
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