Tag: global inequality

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Will AI make the world less equal?

With businesses increasing their use of AI, this is likely to have significant effects on employment. But how will this affect the distribution of income, both within countries and between countries?

In some ways, AI is likely to increase inequality within countries as it displaces low-skilled workers and enhances the productivity of higher-skilled workers. In other ways, it could reduce inequality by allowing lower-skilled workers to increase their productivity, while displacing some higher-skilled workers and managers through the increased adoption of automated processes.

The effect of AI on the distribution of income between countries will depend crucially on its accessibility. If it is widely available to low-income countries, it could significantly enhance the productivity of small businesses and workers in such countries and help to reduce the income gap with the richer world. If the gains in such countries, however, are largely experienced by multinational companies, whether in mines and plantations, or in labour-intensive industries, such as garment production, few of the gains may accrue to workers and global inequality may increase.

Redistribution within a country

The deployment of AI may result in labour displacement. AI is likely to replace both manual and white-collar jobs that involve straightforward and repetitive tasks. These include: routine clerical work, such as data entry, filing and scheduling; paralegal work, contract drafting and legal research; consulting, business research and market analysis; accounting and bookkeeping; financial trading; proofreading, copy mark-up and translation; graphic design; machine operation; warehouse work, where AI-enabled warehouse robots do many receiving, sorting, stacking, retrieval, carrying and loading tasks (e.g. Amazon’s Sequoia robotic system); basic coding or document sifting; market research and advertising design; call-centre work, such as enquiry handling, sales, telemarketing and customer service; hospitality reception; sales cashiers in supermarkets and stores; analysis of health data and diagnosis. Such jobs can all be performed by AI assistants, AI assisted robots or chat bots.

Women are likely to be disproportionately affected because they perform a higher share of the administrative and service roles most exposed to AI.

Workers displaced by AI may find that they can find employment only in lower-paid jobs. Examples include direct customer-facing roles, such as bar staff, shop assistants, hairdressers and nail and beauty consultants.

Such job displacement by AI is likely to redistribute income from relatively low-skilled labour to capital: a redistribution from wages to profits. This will tend to lead to greater inequality.

AI is also likely to lead to a redistribution of income towards certain types of high-skilled labour that are difficult to replace with AI but which could be enhanced by it. Take the case of skilled traders, such as plumbers, electricians and carpenters. They might be able to use AI in their work to enhance their productivity, through diagnosis, planning, problem-solving, measurement, etc. but the AI would not displace them. Instead, it could increase their incomes by allowing them to do their work more efficiently or effectively and thus increase their output per hour and enhance their hourly reward. Another example is architecture, where AI can automate repetitive tasks and open up new design possibilities, allowing architects to focus on creativity, flexibility, aesthetics, empathy with clients and ethical decision-making.

An important distinction is between disembodied and embodied AI investment. Disembodied AI investment could include AI ‘assistants’, such as ChatGPT and other software that can be used in existing jobs to enhance productivity. Such investment can usually be rolled out relatively quickly. Although the extra productivity may allow some reduction in the number of workers, disembodied AI investment is likely to be less disruptive than embodied AI investment. The latter includes robotics and automation, where workers are replaced by machines. This would require more investment and may be slower to be adopted.

Then there are jobs that will be created by AI. These include prompt engineers, who develop questions and prompt techniques to optimise AI output; health tech experts, who help organisations implement new medical AI products; AI educators, who train people in the uses of AI in the workplace; ethics advisors, who help companies ensure that their uses of AI are aligned with their values, responsibilities and goals; and cybersecurity experts who put systems in place to prevent AI stealing sensitive information. Such jobs may be relatively highly paid.

In other cases, the gains from AI in employment are likely to accrue mainly to the consumer, with probably little change in the incomes of the workers themselves. This is particularly the case in parts of the public sector where wages/salaries are only very loosely related to productivity and where a large part of the work involves providing a personal service. For example, health professionals’ productivity could be enhanced by AI, which could allow faster and more accurate diagnosis, more efficient monitoring and greater accuracy in surgery. The main gainers would be the patients, with probably little change in the incomes of the health professionals themselves. Teachers’ productivity could be improved by allowing more rapid and efficient marking, preparation of materials and record keeping, allowing more time to be spent with students. Again, the main gainers would be the students, with little change in teachers’ incomes. Other jobs in this category include social workers, therapists, solicitors and barristers, HR specialists, senior managers and musicians.

Thus there is likely to be a distribution away from lower-skilled workers to both capital and higher-skilled workers who can use AI, to people who work in new jobs created by AI and to the consumers of certain services.

AI will accelerate productivity growth and, with it, GDP growth, but will probably displace workers faster than new roles emerge. This is likely to increase inequality and be a major challenge for society. Can the labour market adapt? Could the effects be modified if people moved to a four- or three-day week? Will governments introduce statutory limits to weekly working hours? Will training and education adapt to the new demands of employers?

Redistribution between countries

AI threatens to widen the global rich–poor divide. It will give wealthier nations a productivity and innovation edge, which could displace low-skilled jobs in low-income nations. Labour-intensive production could be replaced by automated production, with the capital owned by the multinational companies of just a few countries, such as the USA and China, which between them account for 40% of global corporate AI R&D spending. For some companies, it would make sense to relocate production to rich countries, or certain wealthier developing countries, with better digital infrastructure, advanced data systems and more reliable power supply.

For other companies, however, production might still be based in low-income countries to take advantage of low-cost local materials. But there would still be a redistribution from wages in such countries to the profits of multinationals.

But it is not just in manufacturing where low-income countries are vulnerable to the integration of AI. Several countries, such as India, the Philippines, Mexico and Egypt have seen considerable investment in call centres and IT services for business process outsourcing and customer services. AI now poses a threat to employment in this industry as it has the potential to replace large numbers of workers.

AI-related job losses could exacerbate unemployment and deepen poverty in poorer countries, which, with limited resources, limited training and underdeveloped social protection systems, are less equipped to absorb economic and social shocks. This will further widen the global divide. In the case of embodied AI investment, it may only be possible in low-income countries through multinational investment and could displace many traditional jobs, with much of the benefit going in additional multinational profit.

But it is not all bad news for low-income countries. AI-driven innovations in healthcare, education, and agriculture, if adopted in poor countries, can make a significant contribution to raising living standards and can slow, or even reverse, the widening gap between rich and poor nations. Some of the greatest potential is in small-scale agriculture. Smallholders can boost crop yields though precision farming powered by AI; AI tools can help farmers buy seeds, fertilisers and animals and sell their produce at optimum times and prices; AI-enabled education tools can help farmers learn new techniques.

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Questions

  1. What types of job are most vulnerable to AI?
  2. How will AI change the comparative advantage of low-income countries and what effect will it be likely to have on the pattern of global trade?
  3. Assess alternative policies that governments in high-income countries can adopt to offset the growth in inequality caused by the increasing use of AI.
  4. What policies can governments in low-income countries or aid agencies adopt to offset the growth in inequality within low-income countries and between high- and low-income countries?
  5. How might the growth of AI affect your own approach to career development?
  6. Is AI likely to increase or decrease economic power? Explain.
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A confluence of calamities

World politicians, business leaders, charities and pressure groups are meeting in Davos at the 2022 World Economic Forum. Normally this event takes place in January each year, but it was postponed to this May because of Covid-19 and is the first face-to-face meeting since January 2020.

The meeting takes place amid a series of crises facing the world economy. The IMF’s Managing Director, Kristalina Georgieva, described the current situation as a ‘confluence of calamities’. Problems include:

  • Continuing hangovers from Covid have caused economic difficulties in many countries.
  • The bounceback from Covid has led to demand outpacing supply. The world is suffering from a range of supply-chain problems and shortages of key materials and components, such as computer chips.
  • The war in Ukraine has not only caused suffering in Ukraine itself, but has led to huge energy and food price increases as a result of sanctions and the difficulties in exporting wheat, sunflower oil and other foodstuffs.
  • Supply shocks have led to rising global inflation. This will feed into higher inflationary expectations, which will compound the problem if they result in higher prices and wages in response to higher costs.
  • Central banks have responded by raising interest rates. These dampen an already weakened global economy and could push the world into recession.
  • Global inequality is rising rapidly, both within countries and between countries, as Covid disruptions and higher food and energy prices hit the poor disproportionately. Poor people and countries also have a higher proportion of debt and are thus hit especially hard by higher interest rates.
  • Global warming is having increasing effects, with a growing incidence of floods, droughts and hurricanes. These lead to crop failures and the displacement of people.
  • Countries are increasingly resorting to trade restrictions as they seek to protect their own economies. These slow economic growth.

World leaders at Davos will be debating what can be done. One approach is to use fiscal policy. Indeed, Kristalina Georgieva said that her ‘main message is to recognise that the world must spend the billions necessary to contain Covid in order to gain trillions in output as a result’. But unless the increased expenditure is aimed specifically at tackling supply shortages and bottlenecks, it could simply add to rising inflation. Increasing aggregate demand in the context of supply shortages is not the solution.

In the long run, supply bottlenecks can be overcome with appropriate investment. This may require both greater globalisation and greater localisation, with investment in supply chains that use both local and international sources.

International sources can be widened with greater investment in manufacturing in some of the poorer developing countries. This would also help to tackle global inequality. Greater localisation for some inputs, especially heavier or more bulky ones, would help to reduce transport costs and the consumption of fuel.

With severe supply shocks, there are no simple solutions. With less supply, the world produces less and becomes poorer – at least temporarily until supply can increase again.

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Discussion (video)

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Questions

  1. Draw an aggregate demand and supply diagram (AD/AS or DAD/DAS) to illustrate the effect of a supply shock on output and prices.
  2. Give some examples of supply-side policies that could help in the current situation.
  3. What are the arguments for and against countries using protectionist policies at the current time?
  4. What policies could countries adopt to alleviate rapid rises in the cost of living for people on low incomes? What problems do these policies pose?
  5. What are the arguments for and against imposing a windfall tax on energy companies and using the money to support poor people?
  6. If the world slips into recession, should central banks and governments use expansionary monetary and fiscal policies?
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The IMF’s reflection on the world economic outlook

The IMF has just published its six-monthly World Economic Outlook. This provides an assessment of trends in the global economy and gives forecasts for a range of macroeconomic indicators by country, by groups of countries and for the whole world.

This latest report is upbeat for the short term. Global economic growth is expected to be around 3.9% this year and next. This represents 2.3% this year and 2.5% next for advanced countries and 4.8% this year and 4.9% next for emerging and developing countries. For large advanced countries such rates are above potential economic growth rates of around 1.6% and thus represent a rise in the positive output gap or fall in the negative one.

But while the near future for economic growth seems positive, the IMF is less optimistic beyond that for advanced countries, where growth rates are forecast to decline to 2.2% in 2019, 1.7% in 2020 and 1.5% by 2023. Emerging and developing countries, however, are expected to see growth rates of around 5% being maintained.

For most countries, current favorable growth rates will not last. Policymakers should seize this opportunity to bolster growth, make it more durable, and equip their governments better to counter the next downturn.

By comparison with other countries, the UK’s growth prospects look poor. The IMF forecasts that its growth rate will slow from 1.8% in 2017 to 1.6% in 2018 and 1.5% in 2019, eventually rising to around 1.6% by 2023. The short-term figures are lower than in the USA, France and Germany and reflect ‘the anticipated higher barriers to trade and lower foreign direct investment following Brexit’.

The report sounds some alarm bells for the global economy.
The first is a possible growth in trade barriers as a trade war looms between the USA and China and as Russia faces growing trade sanctions. As Christine Lagarde, managing director of the IMF told an audience in Hong Kong:

Governments need to steer clear of protectionism in all its forms. …Remember: the multilateral trade system has transformed our world over the past generation. It helped reduce by half the proportion of the global population living in extreme poverty. It has reduced the cost of living, and has created millions of new jobs with higher wages. …But that system of rules and shared responsibility is now in danger of being torn apart. This would be an inexcusable, collective policy failure. So let us redouble our efforts to reduce trade barriers and resolve disagreements without using exceptional measures.

The second danger is a growth in world government and private debt levels, which at 225% of global GDP are now higher than before the financial crisis of 2007–9. With Trump’s policies of tax cuts and increased government expenditure, the resulting rise in US government debt levels could see some fiscal tightening ahead, which could act as a brake on the world economy. As Maurice Obstfeld , Economic Counsellor and Director of the Research Department, said at the Press Conference launching the latest World Economic Outlook:

Debts throughout the world are very high, and a lot of debts are denominated in dollars. And if dollar funding costs rise, this could be a strain on countries’ sovereign financial institutions.

In China, there has been a massive rise in corporate debt, which may become unsustainable if the Chinese economy slows. Other countries too have seen a surge in private-sector debt. If optimism is replaced by pessimism, there could be a ‘Minsky moment’, where people start to claw down on debt and banks become less generous in lending. This could lead to another crisis and a global recession. A trigger could be rising interest rates, with people finding it hard to service their debts and so cut down on spending.

The third danger is the slow growth in labour productivity combined with aging populations in developed countries. This acts as a brake on growth. The rise in AI and robotics (see the post Rage against the machine) could help to increase potential growth rates, but this could cost jobs in the short term and the benefits could be very unevenly distributed.

This brings us to a final issue and this is the long-term trend to greater inequality, especially in developed economies. Growth has been skewed to the top end of the income distribution. As the April 2017 WEO reported, “technological advances have contributed the most to the recent rise in inequality, but increased financial globalization – and foreign direct investment in particular – has also played a role.”

And the policy of quantitative easing has also tended to benefit the rich, as its main effect has been to push up asset prices, such as share and house prices. Although this has indirectly stimulated the economy, it has mainly benefited asset owners, many of whom have seen their wealth soar. People further down the income scale have seen little or no growth in their real incomes since the financial crisis.

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Questions

  1. For what reasons may the IMF forecasts turn out to be incorrect?
  2. Why are emerging and developing countries likely to experience faster rates of economic growth than advanced countries?
  3. What are meant by a ‘positive output gap’ and a ‘negative output gap’? What are the consequences of each for various macroeconomic indicators?
  4. Explain what is meant by a ‘Minsky moment’. When are such moments likely to occur? Explain why or why not such a moment is likely to occur in the next two or three years?
  5. For every debt owed, someone is owed that debt. So does it matter if global public and/or private debts rise? Explain.
  6. What have been the positive and negative effects of the policy of quantitative easing?
  7. What are the arguments for and against using tariffs and other forms of trade restrictions as a means of boosting a country’s domestic economy?
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Looking for solutions to the growth in inequality

Each January, world political and business leaders gather at the ski resort of Davos in Switzerland for the World Economic Forum. They discuss a range of economic and political issues with the hope of guiding policy.

This year, leaders meet at a time when the global political context has and is changing rapidly. This year the focus is on ‘Creating a Shared Future in a Fractured World’. As the Forum’s website states:

The global context has changed dramatically: geostrategic fissures have re-emerged on multiple fronts with wide-ranging political, economic and social consequences. Realpolitik is no longer just a relic of the Cold War. Economic prosperity and social cohesion are not one and the same. The global commons cannot protect or heal itself.

One of the main ‘fissures’ which threatens social cohesion is the widening gap between the very rich and the rest of the world. Indeed, inequality and poverty is one of the main agenda items at the Davos meeting and the Forum website includes an article titled, ‘We have built an unequal world. Here’s how we can change it’ (see second link in the Articles below). The article shows how the top 1% captured 27% of GDP growth between 1980 and 2016.

The first Guardian article below identifies seven different policy options to tackle the problem of inequality of income and wealth and asks you to say, using a drop-down menu, which one you think is most important. Perhaps it’s something you would like to do.

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Project Davos: what’s the single best way to close the world’s wealth gap? The Guardian, Aidan Mac Guill (19/1/18)
We have built an unequal world. Here’s how we can change it World Economic Forum, Winnie Byanyima (22/1/18)
Oxfam highlights sharp inequality as Davos elite gathers ABC news, Pan Pylas (21/1/18)
Inequality gap widens as 42 people hold same wealth as 3.7bn poorest The Guardian, Larry Elliott (22/1/18)
There’s a huge gender component to income inequality that we’re ignoring Business Insider, Pedro Nicolaci da Costa (22/1/18)
Ahead of Davos, even the 1 percent worry about inequality Washington Post, Heather Long (22/1/18)
“Fractures, Fears and Failures:” World’s Ruling Elites Stare into the Abyss GlobalResearch, Bill Van Auken (18/1/18)
Why the world isn’t getting a pay raise CNN Money, Patrick Gillespie and Ivana Kottasová (1/11/17)

WEF archive
Articles on Inequality World Economic Forum

Questions

  1. Distinguish between income and wealth. In global terms, which is distributed more unequally?
  2. Why has global inequality of both income and wealth grown?
  3. Explain which of the seven policy options identified by the Guardian you would choose/did choose?
  4. Go through each one of the seven policy options and identify what costs would be associated with pursuing it.
  5. Identify any other policy options for tackling the problem.