Category: Essential Economics for Business: Ch 07

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Crude oil – a volatile market

The market for crude oil is usually a volatile one. Indeed, in the last few months, the market has seen prices rise and fall due to various supply and demand influences. Crude oil is coined the ‘King of Commodities’ due to the impact it has on consumers, producers and both the micro and macro economy. The price of crude oil affects everything from the cost of producing plastics, transportation, and food at the supermarket.

This makes the market for crude oil an economic powerhouse which is closely watched by businesses, traders, and governments. To gain a full understanding of the movements in this market, it is important to identify how demand and supply affect the price of crude oil.

What influences the demand and supply of crude oil?

The law of demand and supply states that if demand increases, prices will rise, and if supply increases, prices will fall. This is exactly what happens in the market for crude oil. The consumer side of the market consists of various companies and hundreds of millions of people. The producer side of the market is made up of oil-producing countries. Collectively, both consumers and producers influence the market price.

However, the demand and supply of crude oil, and therefore the price, is also affected by global economic conditions and geopolitical tensions. What happens in the world impacts the price of oil, especially since a large proportion of the world’s biggest oil producers are in politically unstable areas.

Over the past five years, global events have had a major impact on the price of oil. The economic conditions created by the impact of the COVID pandemic saw prices plummet from around $55 per barrel just before the pandemic in February 2020 to around $15 per barrel in April 2020. By mid-2021 they had recovered to around $75 per barrel. Then, in the aftermath of Russia’s invasion of Ukraine in February 2022, the price surged to reach $133 in June 2022. More recently, geopolitical tensions in the Middle East and concerns about China’s economic outlook have intensified concerns about the future direction of the market. (Click here for a PowerPoint of the chart.)

Geopolitical tensions

In the first week of October 2024, the price of crude oil rose by almost 10% to around $78 per barrel as the conflict in the Middle East intensified. It unfortunately comes at a time when many countries are starting to recover from the rise in oil prices caused by the pandemic and the war in Ukraine. Any increase in prices will affect the price that consumers pay to fill up their vehicles with fuel, just when prices of diesel and petrol had reached their lowest level for three years.

The Governor of the Bank of England, Andrew Bailey, has said that the Bank is monitoring developments in the Middle East ‘extremely closely’, as the conflict has the potential to have serious impacts in the UK. The Bank of England will therefore be watching for any movement in oil prices that could fuel inflation.

The main concerns stem from further escalation in the conflict between Israel and the Iran-backed armed group, Hezbollah, in Lebanon. If Israel decides to attack Iran’s oil sector, this is likely to cause a sharp rise in the price of oil. Iran is the world’s seventh largest oil exporter and exports over half of its production to China. If the oilfields of a medium-sized supplier, like Iran, were attacked, this could threaten general inflation in the UK, which could in turn influence any decision by the Bank of England to lower interest rates next month.

Supply deficits

This week (2nd week of October 2024) saw the price of crude oil surge above $81 per barrel to hit its highest level since August. This rise means that prices increased by 12% in a week. However, this surge in price also means that prices rose by almost 21% between the start September and the start of October alone. Yet it was only in early September when crude oil hit a year-to-date low, highlighting the volatility in the market.

As the Middle-East war enters a new and more energy-related phase, the loss of Iranian oil would leave the market in a supply deficit. The law of supply implies that such a deficit would lead to an increase in prices. This also comes at a time when the US Strategic Petroleum Reserve has also been depleted, causing further concerns about global oil supply.

However, the biggest and most significant impact would be a disruption to flows through the Strait of Hormuz. This is a relatively narrow channel at the east end of the Persian Gulf through which a huge amount of oil tanker traffic passes – about a third of total seaborne-traded oil. It is therefore known as the world’s most important oil transit chokepoint. The risk that escalation could block the Strait of Hormuz could technically see a halt in about a fifth of the world’s oil supply. This would include exports from big Gulf producers, including Saudi Arabia, UAE, Kuwait and Iraq. In a worst-case scenario of a full closure of the Strait, a barrel of oil could very quickly rise to well above $100.

Disruption to shipments would also lead to higher gas prices and therefore lead to a rise in household gas and electricity bills. As with oil, gas prices filter down supply chains, affecting the cost of virtually all goods, resulting in a further rise in the cost of living. With energy bills in the UK having already risen by 10% for this winter, an escalation to the conflict could see prices rise further still.

China’s economic outlook


Despite the concern for the future supply of oil, there is also a need to consider how the demand for oil could impact price changes in the market. The price of oil declined on 14 October 2024 in light of concerns over China’s struggling economy. As China is the world’s largest importer of crude oil, there are emerging fears about the potential limits on fuel demand. This fall in price reversed increases made the previous week as investors become concerned about worsening deflationary pressures in China.

Any reduced demand from China could indicate an oversupply of crude oil and therefore potential price declines. Official data from China reveal a sharp year-on-year drop in the producer price index of 2.8% – the fastest decline in six months. These disappointing results have stirred uncertainty about the Chinese government’s economic stimulus plans. Prices could fall further if there are continuing doubts about the government’s ability to implement effective fiscal measures to promote consumer spending and, in turn, economic growth.

As a result of the 2% price fall in oil prices on 14 October, OPEC (the Organization of the Petroleum Exporting Countries) has lowered its 2024 and 2025 global oil demand growth. This negative news outweighed market concerns over the possibility that an Israeli response to Iran’s missile attack could disrupt oil production.

What is the future for oil prices?

It is expected that the market for oil will remain a volatile one. Indeed, the current uncertainties around the globe only highlight this. It is never a simple task to predict what will happen in a market that is influenced by so many global factors, and the current global landscape only adds to the complexity.

There’s a wide spectrum of predictions about what could come next in the market for crude oil. Given the changes in the first two weeks of October alone, supply and demand factors from separate parts of the globe have made the future of oil prices particularly uncertain. Callum Macpherson, head of commodities at Investec, stated in early October that ‘there is really no way of telling where we will be this time next week’ (see the first BBC News article linked below).

Despite the predominately negative outlook, this is all based on potential scenarios. Caroline Bain, chief commodities economist at Capital Economics suggests that if the ‘worst-case scenario’ of further escalation in the Middle East conflict does not materialise, oil prices are likely to ‘ease back quite quickly’. Even if Iran’s supplies were disrupted, China could turn to Russia for its oil. Bain says that there is ‘more than enough capacity’ globally to cover the gap if Iranian production is lost. However, this does then raise the question of where the loyalty of Saudi Arabia, the world’s second largest oil producer, lies and whether it will increase or restrict further production.

What is certain is that the market for crude oil will continue to be a market that is closely observed. It doesn’t take much change in global activity for prices to move. Therefore, in the current political and macroeconomic environment, the coming weeks and months will be critical in determining oil prices and, in turn, their economic effects.

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Questions

  1. Use a demand and supply diagram to illustrate what has happened to oil prices in the main two scenarios:
    (a) Conflict in the Middle East;
    (b) Concerns about China’s economic performance.
  2. How are the price elasticities of demand and supply relevant to the size of any oil price change?
  3. What policy options do the governments have to deal with the potential of increasing energy prices?
  4. What are oil futures? What determines oil future prices?
  5. How does speculation affect oil prices?
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Worries about the Chinese economy

According to the IMF, Chinese GDP grew by 5.2% in 2023 and is predicted to grow by 4.6% this year. Such growth rates would be extremely welcome to most developed countries. UK growth in 2023 was a mere 0.5% and is forecast to be only 0.6% in 2024. Advanced economies as a whole only grew by 1.6% in 2023 and are forecast to grow by only 1.5% this year. Also, with the exception of India, the Philippines and Indonesia, which grew by 6.7%, 5.3% and 5.0% respectively in 2023 and are forecast to grow by 6.5%, 6.0% and 5.0% this year, Chinese growth also compares very favourably with other developing countries, which as a weighted average grew by 4.1% last year and are forecast to grow at the same rate this year.

But in the past, Chinese growth was much higher and was a major driver of global growth. Over the period 1980 to 2018, Chinese economic growth averaged 9.5% – more than twice the average rate of developing countries (4.5%) and nearly four times the average rate of advanced countries (2.4%) (see chart – click here for a PowerPoint of the chart).

Not only is Chinese growth now much lower, but it is set to decline further. The IMF forecasts that in 2025, Chinese growth will have fallen to 4.1% – below the forecast developing-country average of 4.2% and well below that of India (6.5%).

Causes of slowing Chinese growth

There are a number of factors that have come together to contribute to falling economic growth rates – growth rates that otherwise would have been expected to be considerably higher as the Chinese economy reopened after severe Covid lockdowns.

Property market
China has experienced a property boom over the past 20 years years as the government has encouraged construction in residential blocks and in factories and offices. The sector has accounted for some 20% of economic activity. But for many years, demand outstripped supply as consumers chose to invest in property, partly because of a lack of attractive alternatives for their considerable savings and partly because property prices were expected to go on rising. This lead to speculation on the part of both buyers and property developers. Consumers rushed to buy property before prices rose further and property developers borrowed considerably to buy land, which local authorities encouraged, as it provided a valuable source of revenue.

But now there is considerable overcapacity in the sector and new building has declined over the past three years. According to the IMF:

Housing starts have fallen by more than 60 per cent relative to pre-pandemic levels, a historically rapid pace only seen in the largest housing busts in cross-country experience in the last three decades. Sales have fallen amid homebuyer concerns that developers lack sufficient financing to complete projects and that prices will decline in the future.

As a result, many property developers have become unviable. At the end of January, the Chinese property giant, Evergrande, was ordered to liquidate by a Hong Kong court, after the judge ruled that the company did not have a workable plan to restructure around $300bn of debt. Over 50 Chinese property developers have defaulted or missed payments since 2020. The liquidation of Evergrande and worries about the viability of other Chinese property developers is likely to send shockwaves around the Chinese property market and more widely around Chinese investment markets.

Overcapacity
Rapid investment over many years has led to a large rise in industrial capacity. This has outstripped demand. The problem could get worse as investment, including state investment, is diverted from the property sector to manufacturing, especially electric vehicles. But with domestic demand dampened, this could lead to increased dumping on international markets – something that could spark trade wars with the USA and other trading partners (see below). Worries about this in China are increasing as the possibility of a second Trump presidency looks more possible. The Chinese authorities are keen to expand aggregate demand to tackle this overcapacity.

Uncertainty
Consumer and investor confidence are low. This is leading to severe deflationary pressures. If consumers face a decline in the value of their property, this wealth effect could further constrain their spending. This will, in turn, dampen industrial investment.

Uncertainty is beginning to affect foreign companies based in China. Many foreign companies are now making a loss in China or are at best breaking even. This could lead to disinvestment and add to deflationary pressures.

The Chinese stock market and policy responses
Lack of confidence in the Chinese economy is reflected in falling share prices. The Shanghai SSE Composite Index (an index of all stocks traded on the Shanghai Stock Exchange) has fallen dramatically in recent months. From a high of 3703 in September 2021, it had fallen to 2702 on 5 Feb 2024 – a fall of 27%. It is now below the level at the beginning of 2010 (see chart: click here for a PowerPoint). On 5 February alone, some 1800 stocks fell by over 10% in Shanghai and Shenzhen. People were sensing a rout and investors expressed their frustration and anger on social media, including the social media account of the US Embassy. The next day, the authorities intervened and bought large quantities of key stocks. China’s sovereign wealth fund announced that it would increase its purchase of shares to support the country’s stock markets. The SSE Composite rose 4.1% on 6 February and the Shenzhen Component Index rose 6.2%.

However, the rally eased as investors waited to see what more fundamental measures the authorities would take to support the stock markets and the economy more generally. Policies are needed to boost the wider economy and encourage a growth in consumer and business confidence.

Interest rates have been cut four times since the beginning of 2022, when the prime loan rate was cut from 3.85% to 3.7%. The last cut was from 3.55% to 3.45% in August 2023. But this has been insufficient to provide the necessary boost to aggregate demand. Further cuts in interest rates are possible and the government has said that it will use proactive fiscal and effective monetary policy in response to the languishing economy. However, government debt is already high, which limits the room for expansionary fiscal policy, and consumers are highly risk averse and have a high propensity to save.

Graduate unemployment
China has seen investment in education as an important means of increasing human capital and growth. But with a slowing economy, there are are more young people graduating each year than there are graduate jobs available. Official data show that for the group aged 16–24, the unemployment rate was 14.9% in December. This compares with an overall urban unemployment rate of 5.1%. Many graduates are forced to take non-graduate jobs and graduate jobs are being offered at reduced salaries. This will have a further dampening effect on aggregate demand.

Demographics
China’s one-child policy, which it pursued from 1980 to 2016, plus improved health and social care leading to greater longevity, has led to an ageing population and a shrinking workforce. This is despite recent increases in unemployment in the 16–24 age group. The greater the ratio of dependants to workers, the greater the brake on growth as taxes and savings are increasingly used to provide various forms of support.

Effects on the rest of the world

China has been a major driver of world economic growth. With a slowing Chinese economy, this will provide less stimulus to growth in other countries. Many multinational companies, including chip makers, cosmetics companies and chemical companies, earn considerable revenue from China. For example, the USA exports over $190 billion of goods and services to China and these support over 1 million jobs in the USA. A slowdown in China will have repercussions for many companies around the world.

There is also the concern that Chinese manufacturers may dump products on world markets at less than average (total) cost to shift stock and keep production up. This could undermine industry in many countries and could initiate a protectionist response. Already Donald Trump is talking about imposing a 10% tariff on most imported goods if he is elected again in November. Such tariffs could be considerably higher on imports from China. If Joe Biden is re-elected, he too may impose tariffs on Chinese goods if they are thought to be unfairly subsidised. US (and possibly EU) tariffs on Chinese goods could lead to a similar response from China, resulting in a trade war – a negative sum game.

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Questions

  1. Why is China experiencing slowing growth and is growth likely to pick up over the next five years?
  2. How does the situation in China today compare with that in Japan 30 years ago?
  3. What policies could the Chinese government pursue to stimulate economic growth?
  4. What policies were enacted towards China during the Trump presidency from 2017 to 2020?
  5. Would you advise the Chinese central bank to cut interest rates further? Explain.
  6. Should China introduce generous child support for families, no matter the number of children?
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Does profit maximisation lead to maximum profit? The case of Boeing

The traditional theory of the firm assumes that firms are profit maximisers. Although, in practice, decision-makers in firms are driven by a range of motives and objectives, profit remains a key objective for most firms – if not maximising profit, at least trying to achieve profit growth so as to satisfy shareholders, retain confidence in the company and prevent the share price from falling. After all, if the company is profitable, it is easier to fund investment, either from ploughed-back profit, borrowing or new share issue. And greater investment will help to drive profits in the future.

But does the pursuit of profit and shareholder value as the number-one objective actually lead to higher profit? It could be that a prime focus on other things such as consumer satisfaction, product design and value, innovation, safety, worker involvement and the local community could lead to greater long-term profit than an aggressive policy of marketing, cost cutting and financial rejigging – three of the commonest approaches to achieving greater profits.

Boeing disasters

In 2018 and 2019 there were two fatal crashes involving the new 737 MAX-8 aircraft. On 29 October 2018, Indonesia’s Lion Air Flight 610 crashed into the Java Sea; all 189 people on board died. On 10 March 2019, Ethiopian Airlines Flight 302 similarly crashed; all 157 people on board died. Both disasters were the result of a faulty automatic manoeuvring system. The company and its CEO, Dennis Muilenburg, knew about issues with the system, but preferred to keep planes flying while they sought to fix the issue. Grounding them would have cost the company money. But taking this gamble led to two fatal crashes. This damaged the company’s reputation and cost it billions of dollars.

The US Securities and Exchange Commission (SEC) investigated the cases and found that the company had made false statements about the plane’s safety and had put ‘profits before people’. But putting profits first ended up in a huge fall in profits, with the 737 MAX grounded for 20 months.

Since the crashes there have been several other issues with various critical systems, including stabilisation, engines, flight control systems, hydraulics and wiring. In December 2023, Boeing asked airlines to inspect its 737 MAX planes for a potential loose bolt in the rudder control system.

On 5 January 2024, Alaska Airlines Flight 1282 experienced an emergency. A window panel on the 737 MAX-9 aircraft, which replaced an unused emergency exit door, blew out and the cabin depressurised. Fortunately the plane was still climbing and had reached only just under 5000m – less than half of the cruising altitude of over 11 500m. The plane rapidly descended and safely returned to Portland International Airport without loss of life. Had the incident occurred at cruising altitude, the rush of air out of the plane would have been much greater. Passengers would be less likely to be wearing their seat belts and several people could have been sucked out.

The Federal Aviation Administration (FAA) temporarily grounded 171 MAX-9s for inspections. It found that several planes had loose bolts holding the panels in place and could potentially have suffered similar blow outs.

Profits rather than safety?

Critics have claimed that the corporate culture at Boeing prioritised profit over safety. This was made worse in 2001 when company headquarters moved from Seattle to Chicago but production remained at Seattle. The culture at headquarters became sharply focused on financial success. Boeing was under intense competition from Airbus, which announced its more fuel-efficient version of the A320, the A320neo, in 2010, with launch planned for 2015. Boeing’s more fuel-efficient version of the 737, the 737 MAX, was announced in 2011, scheduled for first delivery in 2017. Since then, Boeing has been keen to get the 737 MAX to customers as quickly as possible. Also, Boeing has sought to cut manufacturing costs to keep prices competitive with Airbus.

Despite warnings from some Boeing employees that this competition was leading to corners being cut that compromised safety, Boeing management continued to push for more rapid and cheaper production to fight the competition from Airbus.

The aircraft industry is regulated in the USA by the Federal Aviation Administration (FAA). In 2020, the House Committee on Transportation and Infrastructure produced a detailed report on the industry. It found that the FAA delegated too much safety certification work to Boeing. This was a case of regulatory capture. It was also accused of sharing the goal of promoting the production of US-based Boeing in its competition with European-based Airbus.

Effects on profits

But rather than a focus on profit leading to greater profits, safety issues have led to groundings of 737s, a fall in sales and a fall in profits. The first chart shows deliveries of 737s slightly lagging A320s from 2010 to 2018. Since then deliveries of 737s have fallen well behind A320s. In terms of orders for all planes, Boeing was ahead of Airbus in 2018 (893 compared with 747). Since then, Boeing has significantly lagged behind Airbus and in 2019 and 2020 cancellations exceeded new orders. The January 2024 incident and subsequent groundings are likely to erode confidence, orders and profits even further.

As you can see from the second chart, profits fell substantially in 2019, and with COVID fell again in 2020. They have not recovered to previous levels since. Depending on how the market responds to the issue of loose panel bolts on the MAX-9, profits could well fall again in 2024. There will almost certainly be a further erosion of confidence and probably of orders.

The Boeing story is a salutary lesson in how not to achieve long-term profit. A focus on design, quality and reliability may be a better means to achieving long-term profit growth than trying to appeal to shareholders by increasing short-term profits through aggressive cost cutting and hoping that this will not affect quality.

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Questions

  1. Why is the pursuit of long-run profit likely to result in different decisions from the pursuit of short-run profit?
  2. How has Airbus’s strategy differed from that of Boeing?
  3. How would you summarise Boeing management’s attitude towards risk?
  4. Is it important to locate senior management of a company at its manufacturing base?
  5. What is regulatory capture? Is it fair to say that the FAA was captured by Boeing?
  6. Should Boeing scrap the 737 MAX and design a new narrow-body plane?
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The AI revolution

Artificial intelligence is having a profound effect on economies and society. From production, to services, to healthcare, to pharmaceuticals; to education, to research, to data analysis; to software, to search engines; to planning, to communication, to legal services, to social media – to our everyday lives, AI is transforming the way humans interact. And that transformation is likely to accelerate. But what will be the effects on GDP, on consumption, on jobs, on the distribution of income, and human welfare in general? These are profound questions and ones that economists and other social scientists are pondering. Here we look at some of the issues and possible scenarios.

According to the Merrill/Bank of America article linked below, when asked about the potential for AI, ChatGPT replied:

AI holds immense potential to drive innovation, improve decision-making processes and tackle complex problems across various fields, positively impacting society.

But the magnitude and distribution of the effects on society and economic activity are hard to predict. Perhaps the easiest is the effect on GDP. AI can analyse and interpret data to meet economic goals. It can do this much more extensively and much quicker than using pre-AI software. This will enable higher productivity across a range of manufacturing and service industries. According to the Merrill/Bank of America article, ‘global revenue associated with AI software, hardware, service and sales will likely grow at 19% per year’. With productivity languishing in many countries as they struggle to recover from the pandemic, high inflation and high debt, this massive boost to productivity will be welcome.

But whilst AI may lead to productivity growth, its magnitude is very hard to predict. Both the ‘low-productivity future’ and the ‘high-productivity future’ described in the IMF article linked below are plausible. Productivity growth from AI may be confined to a few sectors, with many workers displaced into jobs where they are less productive. Or, the growth in productivity may affect many sectors, with ‘AI applied to a substantial share of the tasks done by most workers’.

Growing inequality?

Even if AI does massively boost the growth in world GDP, the distribution is likely to be highly uneven, both between countries and within countries. This could widen the gap between rich and poor and create a range of social tensions.

In terms of countries, the main beneficiaries will be developed countries in North America, Europe and Asia and rapidly developing countries, largely in Asia, such as China and India. Poorer developing countries’ access to the fruits of AI will be more limited and they could lose competitive advantage in a number of labour-intensive industries.

Then there is growing inequality between the companies controlling AI systems and other economic actors. Just as companies such as Microsoft, Apple, Google and Meta grew rich as computing, the Internet and social media grew and developed, so these and other companies at the forefront of AI development and supply will grow rich, along with their senior executives. The question then is how much will other companies and individuals benefit. Partly, it will depend on how much production can be adapted and developed in light of the possibilities that AI presents. Partly, it will depend on competition within the AI software market. There is, and will continue to be, a rush to develop and patent software so as to deliver and maintain monopoly profits. It is likely that only a few companies will emerge dominant – a natural oligopoly.

Then there is the likely growth of inequality between individuals. The reason is that AI will have different effects in different parts of the labour market.

The labour market

In some industries, AI will enhance labour productivity. It will be a tool that will be used by workers to improve the service they offer or the items they produce. In other cases, it will replace labour. It will not simply be a tool used by labour, but will do the job itself. Workers will be displaced and structural unemployment is likely to rise. The quicker the displacement process, the more will such unemployment rise. People may be forced to take more menial jobs in the service sector. This, in turn, will drive down the wages in such jobs and employers may find it more convenient to use gig workers than employ workers on full- or part-time contracts with holidays and other rights and benefits.

But the development of AI may also lead to the creation of other high-productivity jobs. As the Goldman Sachs article linked below states:

Jobs displaced by automation have historically been offset by the creation of new jobs, and the emergence of new occupations following technological innovations accounts for the vast majority of long-run employment growth… For example, information-technology innovations introduced new occupations such as webpage designers, software developers and digital marketing professionals. There were also follow-on effects of that job creation, as the boost to aggregate income indirectly drove demand for service sector workers in industries like healthcare, education and food services.

Nevertheless, people could still lose their jobs before being re-employed elsewhere.

The possible rise in structural unemployment raises the question of retraining provision and its funding and whether workers would be required to undertake such retraining. It also raises the question of whether there should be a universal basic income so that the additional income from AI can be spread more widely. This income would be paid in addition to any wages that people earn. But a universal basic income would require finance. How could AI be taxed? What would be the effects on incentives and investment in the AI industry? The Guardian article, linked below, explores some of these issues.

The increased GDP from AI will lead to higher levels of consumption. The resulting increase in demand for labour will go some way to offsetting the effects of workers being displaced by AI. There may be new employment opportunities in the service sector in areas such as sport and recreation, where there is an emphasis on human interaction and where, therefore, humans have an advantage over AI.

Another issue raised is whether people need to work so many hours. Is there an argument for a four-day or even three-day week? We explored these issues in a recent blog in the context of low productivity growth. The arguments become more compelling when productivity growth is high.

Other issues

AI users are not all benign. As we are beginning to see, AI opens the possibility for sophisticated crime, including cyberattacks, fraud and extortion as the technology makes the acquisition and misuse of data, and the development of malware and phishing much easier.

Another set of issues arises in education. What knowledge should students be expected to acquire? Should the focus of education continue to shift towards analytical skills and understanding away from the simple acquisition of knowledge and techniques. This has been a development in recent years and could accelerate. Then there is the question of assessment. Generative AI creates a range of possibilities for plagiarism and other forms of cheating. How should modes of assessment change to reflect this problem? Should there be a greater shift towards exams or towards project work that encourages the use of AI?

Finally, there is the issue of the sort of society we want to achieve. Work is not just about producing goods and services for us as consumers – work is an important part of life. To the extent that AI can enhance working life and take away a lot of routine and boring tasks, then society gains. To the extent, however, that it replaces work that involved judgement and human interaction, then society might lose. More might be produced, but we might be less fulfilled.

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Questions

  1. Which industries are most likely to benefit from the development of AI?
  2. Distinguish between labour-replacing and labour-augmenting technological progress in the context of AI.
  3. How could AI reduce the amount of labour per unit of output and yet result in an increase in employment?
  4. What people are most likely to (a) gain, (b) lose from the increasing use of AI?
  5. Is the distribution of income likely to become more equal or less equal with the development and adoption of AI? Explain.
  6. What policies could governments adopt to spread the gains from AI more equally?