Category: Essential Economics for Business: Ch 05

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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 UK’s national fixed broadband network – wasteful duplication or effective competition?

You may have recently noticed construction workers from different businesses digging up the roads/pavements near where you live. You may also have noticed them laying fibre optic cables. Why has this been happening? Does it make economic sense for different companies to dig up the same stretch of pavement and lay similar cables next to one another?

For many years the UK had one national fixed communication network that was owned by British Telecom (BT) – the traditional phone landline made from copper wire. This is now operated by OpenReach – part of the BT group but a legally separate division. In addition to this national infrastructure, Virgin Media (formed in 2007 from the merged cable operators, Telewest and NTL) has gradually built up a rival fixed broadband network that now covers just over 50 per cent of the country.

Although customers have only had very limited choice over which fixed communication network to use, they have had far greater choice over which Internet service provider (ISP) to sign up for. This has been possible as the industry regulator, Ofcom, forces OpenReach to provide rival ISPs such as Sky Broadband, TalkTalk and Zen with access to its network.

Expansion of the fibre optic network

Recent government policy has tried to encourage and incentivise the replacement of the copper wire network with one that is fully fibre. This is often referred to as Fibre to the Premises (FTTP) or Fibre to the Home (FTTH). A fixed network of fully fibre broadband enables much faster download speeds and many argue that it is vital for the future competitiveness of the UK economy.

Replacing the existing fixed communication network with fibre optic cables is expensive. It can involve major civil works: i.e. the digging up of roads and pavements to install new ducts to lay the fibre optic cables inside.

Over a hundred companies, that are not part of either OpenReach or Virgin Media O2 (the parent company of Virgin Media), have recently been digging up pavements/roads and laying new fibre optic cables. Known as alternative network providers (altnets) or independent networks, these businesses vary in size, with many of them securing large loans from banks and private investors. By the middle of 2023, 2.5 million premises in the UK had access to at least two or more of these independent networks.

After a slow initial response to the altnets, OpenReach has recently responded by rapidly installing FTTP. The business is currently building 62 000 connections every week and plans to have 25 million premises connected by the end of 2026. In July 2022, Virgin Media O2 announced that it was establishing a new joint venture with InfraVia Capital Partners. Called Nexfibre, this business aims to connect 5 million premises to FTTP by 2026.

Is the fibre optic network a natural monopoly?

Some people argue that the fixed communication network is an example of a natural monopoly – an industry where a single firm can supply the whole market at a lower average cost than two or more firms. To what extent is this true?

An industry is a natural monopoly where the minimum efficient scale of production (MES) is larger than the market demand for the good/service. This is more likely to occur where there are significant economies of scale. Digging up roads/pavements, installing new ducts and laying fibre optic cable are clear examples of fixed costs. Once the network is built, the marginal cost of supplying customers is relatively small. Therefore, this industry has significant economies of scale and a relatively large MES. This has led many people to argue that building rival fixed communication networks is wasteful duplication and will lead to higher costs and prices.

However, when judging if a sector is a natural monopoly, it is always important to remember that a comparison needs to be made between the MES and the size of the market. An industry could have significant economies of scale, but not be an example of a natural monopoly if the market demand is significantly larger than the MES.

In the case of the fixed communication network, the size of the market will vary significantly between different regions of the country. In densely populated urban areas, such as large towns and cities, the demand for services provided via these networks is likely to be relatively large. Therefore, the MES could be smaller than the size of the market, making competition between network suppliers both possible and desirable. For example, competition may incentivise firms to innovate, become more efficient and reduce costs.

Research undertaken for the government by the consultancy business, Frontier Economics, found that at least a third of UK households live in areas where competition between three or more different networks is economically desirable.

By contrast, in more sparsely populated rural areas, demand for the services provided by these networks will be smaller. The fixed costs per household of installing the network over longer distances will also be larger. Therefore, the MES is more likely to be greater than the size of the market.

The same research undertaken by Frontier Economics found that around 10 per cent of households live in areas where the fixed communication network is a natural monopoly. The demand and cost conditions for another 10 per cent of households meant it is not commercially viable to have any suppliers.

Therefore, policies towards the promotion of competition, regulation, and government support for the fixed communication network might have to be adjusted depending on the specific demand and cost conditions in a particular region.

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Questions

  1. Explain the difference between fixed and wireless communication networks.
  2. Draw a diagram to illustrate a profit-maximising natural monopoly. Outline some of the implications for allocative efficiency.
  3. Discuss some of the issues with regulating natural monopolies, paying particular attention to price regulation.
  4. The term ‘overbuild’ is often used to describe a situation where more than one fibre broadband network is being constructed in the same place. Some people argue that incumbent network suppliers deliberately choose to use this term to imply that the outcome is harmful for society. Discuss this argument.
  5. An important part of government policy in this sector has been the Duct and Pole Access Strategy (DPA). Illustrate the impact of this strategy on the average cost curve and the minimum efficient scale of production for fibre broadband networks.
  6. Draw a diagram to illustrate a region where (a) it is economically viable to have two or more fibre optic broadband network suppliers and (b) where it is commercially unviable to have any broadband network suppliers without government support.
  7. Some people argue that network competition provides strong incentives for firms to innovate, to become more efficient and reduce costs. Draw a diagram to illustrate this argument.
  8. Explain why many ‘altnets’ are so opposed to OpenReach’s new ‘Equinox 2’ pricing scheme for its fibre network.
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Climate tipping points


Politicians, business leaders, climate scientists, interest groups and journalists from across the world have been meeting in Dubai at the COP28 climate summit (the 28th annual meeting of the Conference of the Parties (COP) to the United Nations Framework Convention on Climate Change (UNFCCC)). The meeting comes at a time when various climate tipping points are being reached or approached – some bad, but some good. Understanding these tipping points and their implications for society and policy requires understanding not only the science, but also the various economic incentives affecting individuals, businesses, politicians and societies.

Tipping points

A recent report (see first reference in articles section below) identified various climate tipping points. These are when global temperatures rise to a point where various domino effects occur. These are adverse changes to the environment that gather pace and have major effects on ecosystems and the ability to grow food and support populations. These, in turn, will have large effects on economies, migration and political stability.

According to the report, five tipping points are imminent with the current degree of global warming (1.2oC). These are:

  • Melting of the Greenland ice sheet;
  • Melting of the West Antarctic ice sheet;
  • Death of warm-water coral reefs;
  • Collapse of the North Atlantic Subpolar Gyre circulation, which helps to drive the warm current that benefits Western Europe;
  • Widespread rapid thawing of permafrost, where tundra without snow cover rapidly absorbs heat and releases methane (a much more powerful source of global warming than CO2).

With global warming of 1.5oC, three more tipping points are likely: the destruction of seagrass meadows, mangrove swamps and the southern part of the boreal forests that cover much of northern Eurasia. As the temperature warms further, other tipping points can interact in ways that drive one another, resulting in tipping ‘cascades’.

But the report also strikes an optimistic note, arguing that positive tipping points are also possible, which will help to slow global warming in the near future and possibly reverse it further in the future.


The most obvious one is in renewable energy. Renewable power generation in many countries is now cheaper than generation from fossil fuels. Indeed, in 2022, over 80% of new electricity generation was from solar and wind. And as it becomes cheaper, so this will drive investment in new renewable plants, including in small-scale production suitable for use in developing countries in parts not connected to a grid. In the vehicle sector, improved battery technology, the growth in charging infrastructure and cheaper renewable sources of electricity are creating a tipping point in EV take-up.

Positive tipping points can take place as a result of changing attitudes, such as moving away from a meat-intensive diet, avoiding food waste, greater use of recycling and a growth in second-hand markets.

But these positive tipping points are so far not strong enough or quick enough. Part of the problem is with economic incentives in market systems and part is with political systems.

Market failures

Economic decisions around the world of both individuals and firms are made largely within a market environment. But the market fails to take into account the full climate costs and benefits of such decisions. There are various reasons why.

Externalities. Both the production and consumption of many goods, especially energy and transport, but also much of agriculture and manufacturing, involve the production of CO2. But the costs of the resulting global warming are not born directly by the producer or consumer. Instead they are external costs born by society worldwide – with some countries and individuals bearing a higher cost than others. The result is an overproduction or consumption of such goods from the point of view of the world.

The environment as a common resource. The air, the seas and many other parts of the environment are not privately owned. They are a global ‘commons’. As such, it is extremely difficult to exclude non-payers from consuming the benefits they provide. Because of this property of ‘non-excludability’, it is often possible to consume the benefits of the environment at a zero price. If the price of any good or service to the user is zero, there is no incentive to economise on its use. In the case of the atmosphere as a ‘dump’ for greenhouse gases, this results in its overuse. Many parts of the environment, however, including the atmosphere, are scarce: there is rivalry in their use. As people increase their use of the atmosphere as a dump for carbon, so the resulting global warming adversely affects the lives of others. This is an example of the tragedy of the commons – where a free resource (such as common land) is overused.

Inter-generational problems. The effect of the growth in carbon emissions is long term, whereas the benefits are immediate. Thus consumers and firms are frequently prepared to continue with various practices, such as driving, flying and using fossil fuels for production, and leave future generations to worry about their environmental consequences. The problem, then, is a reflection of the importance that people attach to the present relative to the future.

Ignorance. People may be contributing to global warming without realising it. They may be unaware of which of the goods they buy involve the release of carbon in their production or how much carbon they release when consumed.

Political failures

Governments, whether democratic or dictatorships, face incentives not to reduce carbon emissions – or to minimise their reduction, especially if they are oil producing countries. Reducing carbon involves short-term costs to consumers and this can make them unpopular. It could cost them the next election or, in the case of dictatorships, make them vulnerable to overthrow. What is more, the oil, coal and gas industries have a vested interest in continuing the use of fossil fuels. Such industries wield considerable political power.

Even if governments want the world to reduce carbon emissions, they would rather that the cost of doing so is born less by their own country and more by other countries. This creates a prisoner’s dilemma, where the optimum may be for a large global reduction in carbon emissions, but the optimum is not achieved because countries individually are only prepared to reduce a little, expecting other countries to reduce more. Getting a deal that is deemed ‘fair’ by all countries is very difficult. An example is where developing countries, may feel that it is fair that the bulk of any cuts, if not all of them, should be made by developed countries, while developed countries feel that fixed percentage cuts should be made by all countries.

Policy options

If the goal is to tackle climate change, then the means is to reduce the amount of carbon in the atmosphere (or at the least to stop its increase – the net zero target). There are two possibilities here. The first is to reduce the amount of carbon emissions. The second is to use carbon capture and storage or carbon sequestration (e.g. through increased forestation).

In terms of reducing carbon emissions, the key is reducing the consumption of carbon-producing activities and products that involve emissions in their production. This can be achieved through taxes on such products and/or subsidies on green alternatives (see the blog ‘Are carbon taxes a solution to the climate emergency?‘). Alternatively carbon-intensive consumption can be banned or phased out by law. For example, the purchase of new petrol or diesel cars cold be banned beyond a certain date. Or some combination of taxation and regulation can be used, such as in a cap-and-trade system – for example, the EU Emissions Trading System (EU ETS) (see the blog ‘Carbon pricing in the UK‘). Then there is government investment in zero carbon technologies and infrastructure (e.g. electrifying railways). In practice, a range of policy instruments are needed (see the blog ‘Tackling climate change: “Everything, everywhere, all at once”‘).

With carbon capture, again, solutions can involve a mixture of market mechanisms and regulation. Market mechanisms include subsidies for using carbon capture systems or for afforestation. Regulation includes policies such as requiring filters to be installed on chimneys or banning the felling of forests for grazing land.

The main issue with such policies is persuading governments to adopt them. As we saw above, governments may be unwilling to bear the short-term costs to consumers and the resulting loss in popularity. Winning the next election or simple political survival may be their number-one priority.

COP28

The COP28 summit concluded with a draft agreement which called for the:

transitioning away from fossil fuels in energy systems, in a just, orderly and equitable manner, accelerating action in this critical decade, so as to achieve net zero by 2050 in keeping with the science.

This was the first COP summit that called on all nations to transition away from fossil fuels for energy generation. It was thus hailed as the biggest step forward on tackling climate change since the 2015 Paris agreement. However, there was no explicit commitment to phase out or even ‘phase down’ fossil fuels. Many scientists, climate interest groups and even governments had called for such a commitment. What is more, there was no agreement to transition away from fossil fuels for transport, agriculture or the production of plastics.

If the agreement is to be anything more than words, the commitment must now be translated into specific policy actions by governments. This is where the real test will come. It’s easy to make commitments; it’s much harder to put them into practice with policy measures that are bound to impose costs on various groups of people. What is more, there are powerful lobbies, such as the oil, coal and steel industries, which want to slow any transition away from fossil fuels – and many governments of oil producing countries which gain substantial revenues from oil production.

One test will come in two years’ time at the COP30 summit in the Amazonian city of Belém, Brazil. At that summit, countries must present new nationally determined commitments that are economy-wide, cover all greenhouse gases and are fully aligned with the 1.5°C temperature limit. This will require specific targets to be announced and the measures required to achieve them. Also, it is hoped that by then there will be an agreement to phase out fossil fuels and not just to ‘transition away’ from them.

Reasons for hope

Despite the unwillingness of many countries, especially the oil and coal producing countries, to phase out fossil fuels, there are reasons for hope that global warming may be halted and eventually even reversed. Damage will have been done and some tipping points may have been reached, but further tipping points may be averted.

The first reason is technological advance. Research, development and investment in zero carbon technologies is advancing rapidly. As we have seen, power generation from wind and solar is now cheaper than from fossil fuels. And this cost difference is likely to grow as technology advances further. This positive tipping point is becoming more rapid. Other technological advances in transport and industry will further the shift towards renewables and other advances will economise on the use of power.

The second is changing attitudes. With the environment being increasingly included in educational syllabuses around the world and with greater stress on the problems of climate change in the media, with frequent items in the news and with programmes such as the three series of Planet Earth, people are becoming more aware of the implications of climate change and how their actions contribute towards the problem. People are likely to put increasing pressure on businesses and governments to take action. Growing awareness of the environmental impact of their actions is also affecting people’s choices. The negative externalities are thus being reduced and may even become positive ones.

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Questions

  1. Use a diagram to demonstrate the effects of negative externalities in production on the level of output and how this differs from the optimum level.
  2. Use another diagram to demonstrate the effects of negative externalities in consumption on the level of consumption and how this differs from the optimum level.
  3. What was agreed at COP28?
  4. What incentives were included in the agreement to ensure countries stick to the agreement? Were they likely to be sufficient?
  5. What can governments do to encourage positive environmental tipping points?
  6. How may carbon taxes be used to tackle global warming? Are they an efficient policy instrument?
  7. What can be done to change people’s attitudes towards their own carbon emissions?
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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?
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The increasing use of dynamic pricing strategies

In September 2023, the Stonegate Group, the largest pub company in the UK with around 4,500 premises, announced that it was going to start increasing the pint of beer by 20p during busy periods. There was an immediate backlash on social media with many customers calling on people to boycott Stonegate’s pubs such as the Slug & Lettuce and Yates.

This announcement is an example of dynamic pricing, where firms with market power adjust prices relatively quickly in response to changing market conditions: i.e. to changes in demand and supply.

Traditionally, prices set by firms in most retail markets have been less flexible. They may eventually adjust to changing market conditions, but this could take weeks or even months. If a product proves to be popular on a particular day or time, firms have typically left the price unchanged with the item selling out and customers facing empty shelves. If the product is unpopular, then the firm is left with unsold stock.

One business that makes extensive use of dynamic pricing is Amazon. Prices for popular items on Amazon Marketplace change every 10 minutes and can fluctuate by more than 20 per cent in just one hour.

Conditions for dynamic pricing to operate

The Amazon example helps to illustrate the conditions that must be in place for a firm to implement dynamic pricing successfully. These include:

  • The capacity to collect and process large amounts of accurate real-time data on the demand for and supply of particular items i.e. the number of sales or the interest in the product.
  • The ability to adjust prices in a timely manner in response to changing market conditions indicated by the data.
  • Effectively communicating the potential advantages of the pricing strategy to consumers.

Consumer attitudes

The last point is an interesting one. As the Stonegate example illustrates, consumers tend to dislike dynamic pricing, especially when price rises reflect increases in demand. A previous article on this website discussed the unpopularity of dynamic pricing amongst fans in the ticket market for live musical events.

The precise reason for the increase in demand, can also have an impact on consumer attitudes. For example, following a mass shooting at a subway station in New York in April 2022, the authorities shut down the underground system. This led to a surge in demand for taxis and this was picked up by the algorithm/software used by Uber’s dynamic pricing system. Fares for Uber cars began to rise rapidly, and people started to post complaints on social media. Uber responded by disabling the dynamic pricing system and capping prices across the city. It also announced that it would refund customers who were charged higher prices after the subway system shut down.

There is a danger for businesses that if they fail to communicate the policy effectively, annoyed customers may respond by shopping elsewhere. However, if it is implemented successfully then it can help businesses to increase their revenue and may also have some advantages for consumers.

The growing popularity of dynamic pricing

It has been widely used in airline and hotel industries for many years. Robert Cross, who chairs a revenue management company predicts that ‘It will eventually be everywhere’.

More businesses in the UK appear to be using dynamic pricing. In a consumer confidence survey undertaken for Barclays in September 2023, 47 per cent of the respondents had noticed more examples of companies raising prices for goods/services in response to higher demand at peak times.

It has traditionally been more difficult for bricks-and-mortar retailers to implement dynamic pricing because of the costs of continually changing prices (so-called ‘menu costs’). However, this might change with the increasing use of electronic shelf labels.

It will be interesting to see if dynamic pricing becomes more widespread in the future or whether opposition from consumers limits its use.

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Questions

  1. Explain the difference between surge and dynamic pricing.
  2. Using a diagram, explain how dynamic pricing can increase a firm’s revenue.
  3. Discuss both the advantages and disadvantages for consumers of firms using dynamic pricing.
  4. How might dynamic pricing influence consumer behaviour if it alters their expectations about future price changes.
  5. There is some evidence that the use of dynamic pricing is less unpopular amongst 18–24-year-olds than other age groups. Suggest some possible reasons why this might be the case.
  6. Using the concept of loss aversion, consider some different ways that a business could present a new dynamic pricing policy to its customers.