Tag: comparative advantage

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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.

Articles

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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The UK economy – facing a double whammy

The LSE’s Centre for Economic Performance has just published a paper looking at the joint impact of Covid-19 and Brexit on the UK economy. Apart from the short-term shocks, both will have a long-term dampening effect on the UK economy. But they will largely affect different sectors.

Covid-19 has affected, and will continue to affect, direct consumer-facing industries, such as shops, the hospitality and leisure industries, public transport and personal services. Brexit will tend to hit those industries most directly involved in trade with Europe, the UK’s biggest trading partner. These industries include manufacturing, financial services, posts and telecommunications, mining and quarrying, and agriculture and fishing.

Despite the fact that largely different sectors will be hit by these two events, the total effect may be greater than from each individually. One of the main reasons for this is the dampening impact of Covid-19 on globalisation. Travel restrictions are likely to remain tighter to more distant countries. And countries are likely to focus on trading within continents or regions rather than the whole world. For the UK, this, other things being equal, would mean an expansion of trade with the EU relative to the rest of the world. But, unless there is a comprehensive free-trade deal with the EU, the UK would not be set to take full advantage of this trend.

Another problem is that the effects of the Covid-19 pandemic have weakened the economy’s ability to cope with further shocks, such as those from Brexit. Depending on the nature (or absence) of a trade deal, Brexit will impose higher burdens on trading companies, including meeting divergent standards and higher administrative costs from greater form filling, inspections and customs delays.

Papers

Articles

Questions

  1. Referring to the LSE paper, give some examples of industries that are likely to be particularly hard hit by Brexit when the transition period ends? Explain why.
  2. Why have university finances been particularly badly affected by both Covid-19 and Brexit? Are there any other sectors that have suffered (or will suffer) badly from both events?
  3. Is there a scenario where globalisation in trade could start to grow again?
  4. Has Covid-19 affected countries’ comparative advantage in particular products traded with particular countries and, if so, how?
  5. The authors of the LSE report argue that ‘government policies to stimulate demand, support workers to remain in employment or find new employment, and to support businesses remain essential’. How realistic is it to expect the government to provide additional support to businesses and workers to deal with the shock of Brexit?
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USMCA or NAFTA 2.0?

An agreement in principle was reached on September 30 between the USA, Canada and Mexico over a new trade deal to replace the North American Free Trade Agreement (NAFTA). President Trump had described NAFTA as ‘the worst trade deal maybe ever signed anywhere, but certainly ever signed in this country.’ The new deal, named the United States-Mexico-Canada Agreement, or USMCA, is the result of 14 months of negotiations, which have often been fractious. A provisional bilateral agreement was made between the USA and Mexico in August. At the same time, President Trump threatened a trade war with Canada if it did not reach a trade agreement with the USA (and Mexico). The new USMCA must be ratified by lawmakers in all three countries before it can come into force. This could take a few months.

So is USMCA a radical departure from NAFTA? Does the USA stand to gain substantially, as President Trump claims? In fact, USMCA is little different from NAFTA. It could best be described as a relatively modest reworking of NAFTA. So what are the changes?

The first change affects the car industry. From 2020, 75% of the components of any vehicle crossing between the USA and Canada or Mexico must be made within one or more of the three countries to qualify for tariff-free treatment. The aim is to boost production within the region. But the main change here is merely an increase in the proportion from the current 62.5%.

A more significant change affecting the car industry concerns wages. Between 40% and 45% of a vehicle’s components must be made by workers earning at least US$16 per hour. This is some three times more than the average wage currently earned by Mexican car workers. Although it will benefit such workers, it will reduce Mexico’s competitive advantage and could hence lead to some diversion of production away from Mexico. Also, it could push up the price of cars.

The agreement has also strengthened various standards inadequately covered in NAFTA. According to The Conversation article:

The new agreement includes stronger protections for patents and trademarks in areas such as biotech, financial services and domain names – all of which have advanced considerably over the past quarter century. It also contains new provisions governing the expansion of digital trade and investment in innovative products and services.
 
Separately, negotiators agreed to update labor and environmental standards, which were not central to the 1994 accord and are now typical in modern trade agreements. Examples include enforcing a minimum wage for autoworkers, stricter environmental standards for Mexican trucks and lots of new rules on fishing to protect marine life.

Another area where the USMCA agreement has made changes concerns trade in dairy products. This particularly affects Canada, which has agreed to allow more US dairy products tariff-free into Canada (see the CNN article at the end of the list of articles below). New higher quotas will give US dairy farmers access to 3.6% of Canada’s dairy market. They will still pay tariffs on dairy exports to Canada that exceed the quotas, ranging from 200% to 300%.

The other significant change for consumers in Mexico and Canada is a rise in the value of duty-free imports they can bring in from the USA, including online transactions. As the first BBC article listed below states:

The new agreement raises duty-free shopping limits to $100 to enter Mexico and C$150 ($115) to enter Canada without facing import duties – well above the $50 previously allowed in Mexico and C$20 permitted by Canada. That’s good news for online shoppers in Mexico and Canada – as well as shipping firms and e-commerce companies, especially giants like Amazon.

Despite these changes, USMCA is very similar to NAFTA. It is still a preferential trade deal between the three countries, but certainly not a completely free trade deal – but nor was NAFTA.

And for the time being, US tariffs on Mexican and Canadian steel and aluminium imports remain in place. Perhaps, with the conclusion of the USMCA agreement, the Trump administration will now, as promised, consider lifting these tariffs.

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Articles

Questions

  1. What have been the chief gains and losses for the USA from USMCA?
  2. What have been the chief gains and losses for Mexico from USMCA?
  3. What have been the chief gains and losses for Canada from USMCA?
  4. What are the economic gains from free trade?
  5. Why might a group of countries prefer a preferential trade deal with various restrictions on trade rather than a completely free trade deal between them?
  6. Distinguish between trade creation and trade diversion.
  7. In what areas, if any, might USMCA result in trade diversion?
  8. If the imposition of tariffs results in a net loss from a decline in trade, why might it be in the interests of a country such as the USA to impose tariffs?
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What do trade deals involve?

In the light of the Brexit vote and the government’s position that the UK will leave the single market and customs union, there has been much discussion of the need for the UK to achieve trade deals. Indeed, a UK-US trade deal was one of the key issues on Theresa May’s agenda when she met Donald Trump just a week after his inauguration.

But what forms can a trade deal take? What does achieving one entail? What are likely to be the various effects on different industries – who will be the winners and losers? And what role does comparative advantage play? The articles below examine these questions.

Given that up until Brexit, the UK already has free trade with the rest of the EU, there is a lot to lose if barriers are erected when the UK leaves. In the meantime, it is vital to start negotiating new trade deals, a process that can be extremely difficult and time-consuming.

A far as new trade arrangements with the EU are concerned, these cannot be agreed until after the UK leaves the EU, in approximately two years’ time, although the government is keen that preliminary discussions take place as soon as Article 50 is triggered, which the government plans to do by the end of March.

Articles

Trade deals are difficult to negotiate and Britain lacks the skills for the job The Conversation, Nigel Driffield (27/1/17)
Why a U.S.-U.K. Trade Deal Could be Harder than it Sounds Newsweek, Josh Lowe (26/1/17)
UK-US trade deal will have ‘very small upsides’ for Britain, says former Bank of England economist Independent, Rob Merrick (26/1/17)
Trump says he wants a U.K. trade deal. Don’t hold your breath CNN Money, Alanna Petroff (23/1/16)
Reality Check: Can there be a quick UK-USA trade deal? BBC News, Jonty Bloom (16/1/17)

Questions

  1. What elements would be included in a UK-US trade deal?
  2. Explain the gains from trade that can result from exploiting comparative advantage.
  3. Explain the statement in the article that allowing trade to be determined by comparative advantage is ‘often politically unacceptable, as governments generally look to protect jobs and tax revenues, as well as to protect activities that fund innovation’.
  4. Why is it difficult to work out in advance the likely effects on trade of a trade deal?
  5. What would be the benefits and costs to the UK of allowing all countries’ imports into the UK tariff free?
  6. What are meant by ‘trade creation’ and ‘trade diversion’? What determines the extent to which a trade deal will result in trade creation or trade diversion?