Horizons 114 - The biggest challenges

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Focus: Updating the economy

The new monopolies Limited resources for perpetual growth Many more than the world’s current population of 7.5 billion people are going to have to share our natural resources, such as land and drinking water. According to the UN’s prognosis, by 2100 the world population will have grown to more than 11 billion, and will make demands on resources that are already rare in some places today. Once those resources have been exploited, countries’ sources of income will disappear too. Climate change, pollutants and mismanagement will make the soil infertile, and cultivating foodstuffs will get more difficult. What we need are new, resource-friendly technologies, a more responsible approach to our existing resources, and sustainable supply chains.

The famous four – Google, Apple, Facebook and Amazon – are the giants of digitisation today. They are developing at a rapid pace and are untouchable in the current domination of their respective sectors. They gather user data from all areas of life, they manage their prices dynamically, they hold sway over digital advertising markets, and are ousting traditional businesses. Some think that these companies have already attained such a dominant position on the market that they are distorting competition. Is it at all possible for competitors to attain the critical mass necessary for them to participate in the market too? Who will get access to these mountains of data, and at what price? And how can countries adjust their antitrust laws to their business models to make them applicable to these multinational concerns?

Regulating digital finance Digital transformation is revolutionising the financial sector. Algorithms are replacing financial advisers and investment bankers. Mobile phone payment systems are replacing cash, while unacquainted private citizens are offering each other online credit. Virtual currencies such as Bitcoin are radically decentralised, anonymous and volatile. We still have no answers to questions of regulation and security, nor do we know just what impact, say, automatic trading has on the financial markets.

THE BIGGEST CHALLENGES Artificial and friendly ­intelligence Fair sharing Airbnb, Uber and others have shown that the principle of sharing, not buying, can enable successful business models to emerge. The ad-hoc service providers of the sharing economy also have unwanted side-effects, however. For example, Airbnb is soaking up the housing market in town centres and is competing with hotels. Furthermore, the tax authorities are losing out. Uber places the entrepreneurial risks on its drivers, who in contrast to normal employees have neither social nor accident insurance. Legislators and service providers will now have to design sharing business models that are socially acceptable.

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Swiss National Science Foundation – Swiss Academies: Horizons No. 114

Algorithms permeate our everyday lives. They don’t just determine our Internet search results and write simple news announcements. They analyse huge volumes of data so quickly and efficiently that the advice we are given by online shops, and the timelines in our social media, reflect our interests in a manner both accurate and frighteningly manipulative. There is hardly any profession today that is immune to automation. Should we be controlling algorithms? Who will be responsible if a robot causes an accident? How can today’s education system produce the workers needed for the jobs that will only emerge in 20 years’ time?


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