Category: Essentials of Economics: Ch 14

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The global economic impacts of the war with Iran

With relentless bombing of Iran by Israel and the USA, and with Iranian counterattacks on Gulf states, the costs of the war are mounting. The most obvious are in terms of human lives, injuries and suffering. But there are significant economic costs too. Some of these are immediate, such as the rising price of oil and hence the costs of fuel, or the fall in stock market prices. Some will be longer term, depending on how the war develops. For example, prices could rise more generally as supply chains are disrupted.

The impacts will vary across the world and across markets. The most obvious markets to be affected are those where significant supply comes from the Persian Gulf. Approximately 20% of total global oil consumption passes through the Strait of Hormuz, which connects the Persian Gulf with the Arabian Sea and the Indian Ocean.

Oil prices rose considerably in the days following the start of the war on 28 February, with Brent crude, a key measure of international oil prices, rising from $71.3 on 27 February to a peak of $121.4 per barrel by the morning of 9 March – a rise of 70%. It was possible that they would rise even further in the short term. However, prices fell back substantially later on 9 March after G7 finance ministers declared that the group ‘stands ready’ to release oil from strategic reserves if needed. By late in the day, the price had fallen to around $90. (Click here for a PowerPoint of the chart.)

Rising oil prices will drive up inflation. For those countries with a heavy dependence on Gulf oil, particularly countries in Asia, there could be significant supply problems. For oil exporters in the Persian Gulf, with tankers unable to traverse the Strait of Hormuz, the economic impact is huge. Oil exporters outside the Gulf, such as Russia, Norway and Canada, however, will gain from the higher prices. Clearly the size of these effects will depend on how long the conflict continues and how long the Strait of Hormuz remains closed.

And it is not just oil that is affected. Other products, such as liquified natural gas (LNG), petrochemicals, industrial materials, fertilizers, metals and minerals are transported through the Strait of Hormuz. Gulf countries import much of their food through the Strait.

Cuts in supplies of oil and other products represent an adverse supply shock. Such shocks push up prices (cost-push inflation), while adversely affecting aggregate output. This can lead to stagflation – a combination of higher inflation and stagnation or even falling output. Central banks with a simple mandate to keep inflation to a target are likely to raise interest rates, or at least delay in reducing them. In the USA, with a dual mandate of controlling inflation but also maximising employment, the response may be less deflationary, depending on the judgement of the Federal Reserve.

Uncertainty

There is great uncertainty about how long the conflict will last. There is also a lack of clarity and consistency from the US administration about its war aims. This uncertainty has affected financial markets, which have seen considerable volatility. Stock markets have seen widespread falls, with airline, travel and AI-heavy stocks being particularly vulnerable.

If the war is concluded relatively swiftly, the economic effects could be relatively small. If the war continues, and especially if the Gulf countries are drawn further into the conflict and if the conflict spreads to other countries, the economic effects could be much more substantial. A prolonged conflict could see oil prices remaining above $100 per barrel, potentially increasing global inflation by 1 percentage point or more. This would slow or halt the move by central banks to cut rates and thereby reduce global economic growth – potentially, as we have seen, leading to stagflation.

Then there is the issue of a potential new international refugee crisis. If the economic and political system in Iran deteriorates rapidly, this could trigger a wave of migration to neighbouring countries, such as Turkey, already hosting large numbers of refugees. Many could seek sanctuary further afield in Europe, with several countries already facing a backlash against immigration. The political and economic effects of this on host countries could be significant – but as yet, highly uncertain.

Articles

Questions

  1. Who are the biggest gainers and losers from disruption to oil supplies from the Persian Gulf?
  2. Illustrate the effect of the current oil price shock on an aggregate demand and supply diagram (either static or dynamic).
  3. Why is the Iranian war likely to be less damaging to the European economy than the Ukrainian war has been?
  4. Why have AI-related stock prices been vulnerable to the uncertainty caused by the Iranian war?
  5. How are the Bank of England and the Federal Reserve Bank likely to respond to the rising price of oil and the broader economic effects of the war? Why might their responses be different?
  6. What is the likely impact of the Iranian war on global economic recovery?
  7. How might the Iranian war affect global economic alliances?
  8. How is the current oil price shock likely to affect the eurozone? Will it be different from the oil price shock that followed the Russian invasion of Ukraine?
  9. What are the likely economic effects of large-scale migration caused by the war?
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The Russian economy after four years of war

At the fourth anniversary of Russia’s invasion of Ukraine, we look at the effect of the war on the Russian economy. Two years ago, in the blog The Russian economy after two years of war, we argued that the Russian economy had seemingly weathered the war successfully.

Unlike Ukraine, very little of its infrastructure had been destroyed; it had started the war with a current account balance of payments surplus, a budget surplus and a low general government debt-to-GDP ratio; it had achieved a lot of success in diverting its exports, including oil, away from countries imposing sanctions to countries such as China and India; it was the same with imports, with China especially becoming a major suppliers of machinery, components and vehicles; it has a strong central bank, which engenders a high level of confidence in managing inflation; the military expenditure provided a Keynesian boost to the economy, with production and employment rising.

The situation today

But two years further on, the Russian economy is looking a lot weaker and on the verge of recession. GDP growth fell to 0.6 per cent in 2025 and is forecast to be no more than 1 per cent for the next two years. (Click here for a PowerPoint of the chart.) And despite growth still being positive (just), this is largely because of the growth in military expenditure. Retail and wholesale trade fell by 1.1% in 2025, reflecting supply chain problems and high inflation dampening consumer demand.

With labour being diverted into the armaments and allied industries or into the armed forces, this has led to labour shortages. This has been compounded by the emigration of up to 1 million people by 2025 – often young, educated and skilled professionals.

Official CPI inflation averaged 8.7 per cent in 2025, although the prices of food and other consumer essentials rose by more, especially in recent months. At the beginning of 2026, supermarket prices rose by 2.3% in just one month, made worse by a rise in VAT from 20% to 22%. The central bank has responded to the high inflation with high interest rates, which averaged 19.2% in 2025, giving a real rate of 10.5%. With such a high real rate, the response of households has been to save. This has masked the constraints on production, or imports, of consumer goods. Savings have also been boosted by large payments to soldiers and bereaved families, with the money saved by the recipients being used in part to fund future such payments. So far there has been trust in the banking system, but if that trust waned and people starting making large withdrawals of savings, it could be seriously destabilising.

Whilst the high real interest rates have helped to mask shortages of consumer goods, they have had a seriously dampening effect on investment by domestic companies. Gross capital formation fell by 3% in 2025, not helped by an increase in the corporation tax from 20% to 25%. At the same time, foreign direct investment remains subdued due to high perceived risks. The lack of investment, plus the labour shortages, will have profound effects on the supply side of the economy, with potential output in the non-military sector likely to decline over the medium term.

The balance of payments and government finances are turning less favourable. The balance of trade surplus has declined from US$173bn in 2021 to US$67bn in 2025. This could decline further, or even become a deficit, if oil prices continue to be weak, if Western sanctions are tightened (such as stopping the flow of Russian oil exports in the ‘shadow’ fleet of tankers) or if major importing countries stop buying Russian oil. Indian refiners have announced that they are not taking Russian crude in March/April as India seeks to finalise a trade deal with the USA.

The budget balance has moved from a small surplus of 0.8% of GDP in 2021 to a deficit of 2.9% in 2025. Although the government debt-to-GDP ratio remains low by international standards at 23.1% of GDP in 2025, this was up from 16.5% in 2021 and is set to rise further as budget deficits deepen. Nevertheless, as long as the saving rate remains high, the debt can be serviced by domestic bond purchase.

Russia’s economy is definitely weakening and labour shortages and low investment will create major problems for the future. But whether this deterioration will be enough to change Russia’s stance on the war in Ukraine remains to be seen.

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Reports

Data

Questions

  1. What constraints are there currently on the supply side of the Russian economy?
  2. Some economists have argued that the economic effects of a stalemate in the Ukraine war would suit the Russian leadership more than peace or victory. Why might this be so?
  3. Under what circumstances might a deep recession in Russia be more likely than stagnation?
  4. In what ways does Russia’s current financial system resemble a pyramid scheme?
  5. What cannot a Keynesian boost contunue to support the Russian economy indefinitely?
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Who pays Trump’s tariffs?

Three recent reports (see links below) have suggested that US consumers and businesses pay most of the tariffs imposed by the second Trump administration. The percentage varies from around 86% to 96%. US customs revenue surged by approximately $200 billion in 2025, but this was a tax paid almost entirely by US consumers and businesses. Foreign suppliers largely maintained their (pre-tariff) prices. They took a hit in terms of reduced volumes rather than reduced pre-tariff prices.

The incidence of a tariff between consumers, domestic importers and overseas producers will depend on price elasticities of demand and supply. The following diagram shows a product where the importing country is large enough to have a degree of market power, which will normally be the case with the USA. The greater its buying power, the flatter will be its demand curve, showing that the foreign supplier will have little influence on the price. With no tariff, the equilibrium price paid by importers will be at point a, where demand equals supply. Q1 would be imported at a price of P1.

Imposition of a tariff will shift the supply curve upwards by the amount of the tariff. The new equilibrium price paid by importers will be at point b, where the new supply curve crosses the demand curve. Importers thus now pay a post-tariff price of P2: an effective rise in price of P2 minus P1. Foreign exporters receive P3, which is what they are paid by importers after the tariff has been paid.

The consumer price will be above P2 as that includes a mark-up by US businesses on top of the price they pay to import the product. Importers may bear some of the increase in price and not pass the full amount onto consumers, depending on competition and their ability to absorb cost increases.

President Trump argued that there would be very little rise in price from the tariffs and that overseas suppliers would bear the brunt of the tariffs. Indeed, recently he has argued that this must be the case as US inflation has been falling. In response, critics maintain that the rate of inflation would have fallen more without the tariffs and that current prices would be lower than they are. Also, if US importing firms or retailers bear some of the increased cost, even though this helps to dampen the price rise, their lower profits could damage investment and employment.

The Reports

The first report is from the New York Fed (one of the regional branches of the Federal Reserve Bank). It examines the effect of tariffs imposed in 2025, over three periods: (i) January to August, (ii) September to October, and (iii) November. In the first period, 94% of the tariffs were paid by US importers and 6% by foreign exports; in the second period, the figures were 92% and 8% and in the third period, 86% and 14%.

The second report is The Budget and Economic Outlook: 2026 to 2036 from the Congressional Budget Office. Box 2-1 notes that, as of November 2025, ‘the effective tariff rate was about 13 percentage points higher than the roughly 2 percent rate on imports in 2024’. Its analysis suggests that 95% of the tariffs will be borne by importers. Of these higher import prices, 30% will be borne by US businesses, largely through reduced profit margins, and 70% by consumers through higher prices. This will also allow many businesses which produce goods that compete with foreign imports to ‘increase their prices because of the decline in competition from abroad and the increased demand for tariff-free domestic goods’.

The third report is from the Kiel Insitut. In its Policy Brief, Americaʼs Own Goal: Who Pays the Tariffs?, it finds that US importers and consumers bear 96% of the cost of the 2025 tariffs, with foreign exporters absorbing only about 4%. It bases it findings on shipment-level data covering over 25 million transactions valued at nearly $4 trillion. This also shows that exports to the USA declined as foreign exporters preferred to reduce volumes rather than absorbing the tariffs.

The tariffs raised some $200 billion in 2025, around 3.8% of Federal tax receipts. But, as we have seen, this was paid largely by US consumers and business. It goes some way to offsetting the annual cut in tax revenues of around $450 to $520 billion per year from the tax cuts, largely to the better off, in Trump’s ‘One Big Beautiful Bill’.

Reports

Aricles

Questions

  1. Summarise the findings of the three reports (but just Box 2-1 of the Congressional Budget Office one).
  2. Assess the argument that protectionism leads to inefficiency in the protected industries.
  3. Under what circumstances would exporters to the USA absorb a high percentage of tariff increases? Consider questions of elasticity.
  4. Can tariffs ever be justified on efficiency grounds?
  5. Can tariffs be justified as a bargaining ploy? Can they be used as a means of achieving freer and fairer trade?
  6. Read the blog, President Reagan on tariffs and summarise President Reagan’s arguments. Are they still relevant today?
  7. Consider the arguments for and against the EU raising tariffs on US goods.
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The precious metals roller coaster

Precious metals, such as gold, silver and platinum, are seen as safe havens by investors in uncertain times. With the on-off nature of Donald Trump’s tariffs, with ongoing wars, such as the war in Ukraine, and with threats of US action in Iran, with inflation slow to fall and pressure by the Trump administration on the Federal Reserve to make precipitant cuts in interest rates, investors have flocked to precious metals.

Precious metals peaked in late January 2026. Compared with just four months earlier, gold was up by 48%, platinum by 76% and silver by a massive 162%. Silver and platinum were also boosted by their industrial uses. Silver has excellent conductive properties and is used for electronics, AI, solar energy (photovoltaic cells), chemical catalysts and medical equipment. Over 50% of its consumption is for industrial purposes. Platinum is used as a catalyst in catalytic converters to reduce exhaust emissions, in medical devices, chemical processing, oil refining, electronics and glass manufacturing.

The rise was fuelled by speculation, which gathered momentum in December and January. But then the prices of all three metals fell dramatically on Friday 30 January and a bit more on 2 February. Despite a moderate bounce back on 3 February, the prices then fell again and by the end of 5 February, gold had fallen by 15%, platinum by 30% and silver by a massive 42% from the peak.

Figure 1 illustrates the effect of speculation on the rise in price of a precious metal, such as silver. Assume that demand rises from D0 to D1 for the reasons given above. Equilibrium moves from point a to point b and the price rises from P1 to P2. Seeing the price rising, holders of the metal wait until the price rises further before selling. Supply shifts from S1 to S2. Potential purchasers of the metal, anticipating a further rise in price, buy now before the price does rise. Demand shifts from D1 to D2. As a result, equilibrium moves from point b to point c and price rises to P3.

Figure 2 illustrates the effect of speculation on the subsequent fall in prices triggered by a belief that price will fall. Speculative selling shifts the supply curve from S2 to S3. Potential demanders hold back and the demand curve shifts from D2 to D3. Equilibrium moves to point d and price falls from P3 to P4. (Click here for a PowerPoint of the two figures.)

But why did prices fall so dramatically? The first reason was that analysts were beginning to argue that the exuberance of investors had led the price of all three metals to overshoot the fundamental balance of supply and demand. Once a tipping point arrived, people sold quickly to lock in the gains they had made over previous weeks. This profit taking caused prices to plummet as speculation of further falls drove prices lower.

So what was the tipping point? This was the appointment by Donald Trump of Kevin Warsh as the new Chair of the Federal Reserve to take over from Jerome Powell when his tenure comes to an end in May this year.

It was expected that Trump would appoint someone much more willing to cut interest rates and this worried investors, who feared that inflation would rise again. This uncertainty drove demand for precious metals, which are seen as a safe haven. But Kevin Walsh is viewed as hawkish on monetary policy and less likely to slash interest rates than other possible choices for Chair. This triggered the fall in precious metal prices.

But the main factors that drove the demand for the metals still exist. There is still uncertainty, still an increased demand from central banks for gold, still a growing demand for silver and platinum for industrial uses. The next day, 3 February, it seemed that the prices of all three metals had over-corrected. Investors started buying again at the lower prices and consequently prices rose again – once more fuelled by speculation. Gold rose by 6.1%, platinum by 7.9% and silver by 11.6%.

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Questions

  1. What has happened to the price of silver since this blog was written? Use a demand and supply diagram to illustrate this.
  2. Identify the factors that affect the demand for and supply of (a) silver; (b) gold.
  3. What determines the elasticity of supply of silver (a) in total; (b) to the market?
  4. Choose another commodity other than the three metals considered in this blog. Find out what has happened to their prices over the past 12 months and explain why these price movements have occurred.
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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.