2018

Although tensions between the US and China remain high and they may be tempted to turn inward, there are five reasons why they would be wise not to, write Jeongmin Seong and Lola Woetzel in Project Syndicate.

Ultimately, the effect on employment will depend on whether companies choose to use current forms of AI for innovation or pure automation, and whether they foresee a return from it, writes Jacques Bughin in VOX EU.

Overall, about 30% of the time spent in most occupations could be technically automated-but in only about 5% of occupations are nearly all activities automatable, writes Anu Madgavkar in Live Mint.

Just as many businesses will have to reinvent themselves to cope with automation, so will the social sector. “Philanthropy as usual” will not cut it, write James Manyika, Manisha Shetty Gulati, and Emma Dorn in Stanford Social Innovation Review.

The future of work looks set to be not a tale of machines replacing humans, but of machines complementing humans in the workplace, writes James Manyika in Milken Institute Review.

Superstar status remains contestable, it’s easy to fall from the top, and possible to rise even from bottom all the way to the top, write James Manyika, Sree Ramaswamy, and Michael Birshan in Harvard Business Review.

Even if a technology race develops, some companies will adopt rapidly, but others less so—and the benefits of AI will vary accordingly, write Jacques Bughin and Jeongmin Seong in Harvard Business Review.

Handled well, AI could lead to a virtuous cycle of higher productivity, income growth, and demand that can create more jobs and prosperity, writes Jacques Bughin in ITU News.

The most successful emerging-economy companies, which tend to be export-oriented, not only boost growth, but also help to spur progress in the business environment, write Anu Madgavkar and Jeongmin Seong in Project Syndicate.

Unless the transition to the new economics of the future is managed effectively, these divides may create a backlash against the adoption of AI technologies, write Jacques Bughin and James Manyika in Vox EU.

The best emerging-market firms are more competitive than firms in advanced economies including the United States and the United Kingdom, write Lola Woetzel, Anu Madgavkar and James Manyika in Harvard Business Review.

Eight Asean emerging economies have achieved rapid and consistent growth that far outstrips their peers, enabling them to narrow the wealth gap with advanced economies, write Kaushik Das and Diaan-Yi Lin in Business Times Singapore.

Fostering the growth of large, globally competitive firms can elevate emerging economies to the rank of outperformer, write Oliver Tonby and Anu Madgavkar in World Economic Forum.

The AI revolution will bring short-term pain before long-term gains, write Jacques Bughin and Nicolas Van Zeebroeck in Project Syndicate.

Emerging economies with strong macroeconomic fundamentals and a stable of competitive companies, remain the world’s likeliest source of long-term growth, writes Kevin Sneader in Financial Times.

Closing the gap between men and women to the internet and mobile phones would enable women to seize opportunities in the industries that are shaping our collective future, write Sandrine Devillard and Anu Madgavkar in Project Syndicate.

Asia Pacific economies could increase their collective GDP by $4.5 trillion a year by 2025—or the equivalent of adding an economy the combined size of Germany and Austria every year—by accelerating progress towards gender equality, write Anu Madgavkar, Kweilin Ellingrud, and Mekala Krishnan in Equals.

Harnessing the data and technology to meet the challenge of doing more with less is the biggest feat of getting a smart city plan off the ground, write Navjot Singh, Jonathan Woetzel, and Jaana Remes, in GovTech.

As global liquidity tightens, corporate bonds in emerging markets look vulnerable. But while a market correction is likely, this growth is not as ominous as it might seem, write Susan Lund and Eckart Windhagen in the Financial Times.

For urban planners, data and technology are valuable tools to improve administration and services, but as digital systems become more pervasive, there is a danger that inequality will deepen unless local governments recognize that tech-driven solutions are as important to the poor as they are to the affluent, write Homi Kharas and Jaana Remes in Eco-Business.

For urban planners, data and technology are valuable tools to improve administration and services, but as digital systems become more pervasive, there is a danger that inequality will deepen unless local governments recognize that tech-driven solutions are as important to the poor as they are to the affluent, write Homi Kharas and Jaana Remes in Project Syndicate.

For companies, smart cities represent major business opportunities — and not only for tech firms selling systems to government agencies, write Lola Woetzel and Jaana Remes in Harvard Business Review.

Growth of corporate debt is not as ominous as it first appears and, indeed, in some ways even points to a positive economic outcome, writes Susan Lund in Project Syndicate.

Companies using AI to innovate are more likely to increase employment, writes Jacques Bughin in MIT Sloan Management Review.

Shifts in skills are not new: we have seen such a shift from physical to cognitive tasks, and more recently to digital skills. But the coming shift in workforce skills could be massive in scale, write Jacques Bughin, Susan Lund, and Eric Hazan in Harvard Business Review.

As more companies adopt and learn through digital solutions, and as new forms of employment and investment opportunities strengthen the demand recovery, we expect productivity growth to recover, write James Manyika and Myron Scholes in Project Syndicate.

Flexible working hours and government efforts to change attitudes to women hold the key to progress, write Kevin Sneader and Anu Madgavkar in South China Morning Post.

Although digitisation offers a potential way back from the slowdown of productivity growth, its benefits will require a strengthening of aggregate demand, write Jacques Bughin, Hans-Helmut Kotz, and Jan Mischke in Vox.

China's investment-led growth model has served it extraordinarily well, setting it on course to become one of the world's advanced economies. Yet the strains associated with that approach have become evident, writes Lola Woetzel in Australian Financial Review.

We have concluded that demand matters for productivity growth and that increasing demand is key to restarting growth across advanced economies, write James Manyika, Jaana Remes, and Jan Mischke in Harvard Business Review.

Automation will give the global economy a much-needed productivity boost, even as it enables us to tackle societal “moonshots” such as curing disease or contributing solutions to the climate change challenge. The catch is that adopting these technologies will disrupt the world of work, write James Manyika and Michael Spence in Harvard Business Review.