Category: Economics: Ch 11

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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.

Articles

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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Inflation and fiscal drag

Since 2019, UK personal taxes (income tax and national insurance) have been increasing as a proportion of incomes and total tax revenues have been increasing as a proportion of GDP. However, in his Autumn Statement of 22 November, the Chancellor, Jeremy Hunt, announced a 2 percentage point cut in the national insurance rate for employees from 12% to 10%. The government hailed this as a significant tax cut. But, despite this, taxes are set to continue increasing. According to the Office for Budget Responsibility (OBR), from 2019/20 to 2028/29, taxes will have increased by 4.5 per cent of GDP (see chart below), raising an extra £44.6 billion per year by 2028/29. One third of this is the result of ‘fiscal drag’ from the freezing of tax thresholds.

According to the OBR

Fiscal drag is the process by which faster growth in earnings than in income tax thresholds results in more people being subject to income tax and more of their income being subject to higher tax rates, both of which raise the average tax rate on total incomes.

Income tax thresholds have been unchanged for the past three years and the current plan is that they will remain frozen until at least 2027/28. This is illustrated in the following table.

If there were no inflation, fiscal drag would still apply if real incomes rose. In other words, people would be paying a higher average rate of tax. Part of the reason is that some people on low incomes would be dragged into paying tax for the first time and more people would be paying taxes at higher rates. Even in the case of people whose income rise did not pull them into a higher tax bracket (i.e. they were paying the same marginal rate of tax), they would still be paying a higher average rate of tax as the personal allowance would account for a smaller proportion of their income.

Inflation compounds this effect. Tax bands are in nominal not real terms. Assume that real incomes stay the same and that tax bands are frozen. Nominal incomes will rise by the rate of inflation and thus fiscal drag will occur: the real value of the personal allowance will fall and a higher proportion of incomes will be paid at higher rates. Since 2021, some 2.2 million workers, who previously paid no income taxes as their incomes were below the personal allowance, are now paying tax on some of their wages at the 20% rate. A further 1.6 million workers have moved to the higher tax bracket with a marginal rate of 40%.

The net effect is that, although national insurance rates have been cut by 2 percentage points, the tax burden will continue rising. The OBR estimates that by 2027/28, tax revenues will be 37.4% of GDP; they were 33.1% in 2019/20. This is illustrated in the chart (click here for a PowerPoint).

Much of this rise will be the result of fiscal drag. According to the OBR, fiscal drag from freezing personal allowances, even after the cut in national insurance rates, will raise an extra £42.9 billion per year by 2027/28. This would be equivalent of the amount raised by a rise in national insurance rates of 10 percentage points. By comparison, the total cost to the government of the furlough scheme during the pandemic was £70 billion. For further analysis by the OBR of the magnitude of fiscal drag, see Box 3.1 (p 69) in the November 2023 edition of its Economic and fiscal outlook.

Political choices

Support measures during the pandemic and its aftermath and subsidies for energy bills have led to a rise in government debt. This has put a burden on public finances, compounded by sluggish growth and higher interest rates increasing the cost of servicing government debt. This leaves the government (and future governments) in a dilemma. It must either allow fiscal drag to take place by not raising allowances or even raise tax rates, cut government expenditure or increase borrowing; or it must try to stimulate economic growth to provide a larger tax base; or it must do some combination of all of these. These are not easy choices. Higher economic growth would be the best solution for the government, but it is difficult for governments to achieve. Spending on infrastructure, which would support growth, is planned to be cut in an attempt to reduce borrowing. According to the OBR, under current government plans, public-sector net investment is set to decline from 2.6% of GDP in 2023/24 to 1.8% by 2028/29.

The government is attempting to achieve growth by market-orientated supply-side measures, such as making permanent the current 100% corporation tax allowance for investment. Other measures include streamlining the planning system for commercial projects, a business rates support package for small businesses and targeted government support for specific sectors, such as digital technology. Critics argue that this will not be sufficient to offset the decline in public investment and renew crumbling infrastructure.

To support public finances, the government is using a combination of higher taxation, largely through fiscal drag, and cuts in government expenditure (from 44.8% of GDP in 2023/24 to a planned 42.7% by 2028/29). If the government succeeds in doing this, the OBR forecasts that public-sector net borrowing will fall from 4.5% of GDP in 2023/24 to 1.1% by 2028/29. But higher taxes and squeezed public expenditure will make many people feel worse off, especially those that rely on public services.

Videos

  • Fiscal drag

    • Sky News Politics Hub on X, Sophy Ridge (22/11/23)

  • Fiscal drag

    • Sky News Politics Hub on X, Beth Rigby (22/11/23)

Articles

Report and data from the OBR

Questions

  1. Would fiscal drag occur with frozen nominal tax bands if there were zero real growth in incomes? Explain.
  2. Examine the arguments for continuing to borrow to fund a Budget deficit over a number of years.
  3. When interest rates rise, how much does this affect the cost of servicing public-sector debt? Why is the effect likely to be greater in the long run than in the short run?
  4. If the government decides that it wishes to increase tax revenues as a proportion of GDP (for example, to fund increased government expenditure on infrastructure and socially desirable projects and benefits), examine the arguments for increasing personal allowances and tax bands in line with inflation but raising the rates of income tax in order to raise sufficient revenue?
  5. Distinguish between market-orientated and interventionist supply-side policies? Why do political parties differ in their approaches to supply-side policy?
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The growing gap between rich and poor

A recent report published by the High Pay Centre shows that the median annual CEO pay of the FTSE 100 companies rose by 15.7% in 2022, from £3.38 million in 2021 to £3.91 million – double the UK CPIH inflation rate of 7.9%. Average total pay across the whole economy grew by just 6.0%, representing a real pay cut of nearly 2%.

The pay of top US CEOs is higher still. The median annual pay of S&P 500 CEOs in 2022 was a massive $14.8 million (£11.7 million). However, UK top CEOs earn a little more than those in France and Germany. The median pay of France’s CAC40 CEOs was €4.9 million (£4.2 million). This compares with a median of £4.6 million for the CEOs of the top 40 UK companies. The mean pay of Germany’s DAX30 CEOs was €6.1 million (£5.2 million) – lower than a mean of £6.0 million for the CEOs of the top 30 UK companies.

The gap between top CEO pay and that of average full-time workers narrowed somewhat after 2019 as the pandemic hit company performance. However, it has now started widening again. The ratio of the median UK CEO pay to the median pay of a UK full-time worker stood at 123.1 in 2018. This fell to 79.1 in 2020, but then grew to 108.1 in 2021 and 118.1 in 2022.

The TUC has argued that workers should be given seats on company boards and remuneration committees that decide executive pay. Otherwise, the gap is likely to continue rising, especially as remuneration committees in specific companies seek to benchmark pay against other large companies, both at home and abroad. This creates a competitive upward push on remuneration. What is more, members of remuneration committees have the incentive to be generous as they themselves might benefit from the process in the future.

Although the incomes of top CEOs is huge and growing, even if they are excluded, there is still a large gap in incomes between high and low earners generally in the UK. In March 2023, the top 1 per cent of earners had an average gross annual income of just over £200 000; the bottom 10 per cent had an average gross annual income of a little over £8500 – just 4.24% of the top 1 per cent (down from 4.36% in March 2020).

What is more, in recent months, the share of profits in GDP has been rising. In 2022 Q3, gross profits accounted for 21.2% of GDP. By 2023 Q2, this had risen to 23.4%. As costs have risen, so firms have tended to pass a greater percentage increase on to consumers, blaming these price increases on the rise in their costs.

Life at the bottom

The poor spend a larger proportion of their income on food, electricity and gas than people on average income; these essential items have a low income elasticity of demand. But food and energy inflation has been above that of CPIH inflation.

In 2022, the price of bread rose by 20.5%, eggs by 28.9%, pasta by 29.1%, butter by 29.4%, cheese by 32.6% and milk by 38.5%; the overall rise in food and non-alcoholic beverages was 16.9% – the highest rise in any of the different components of consumer price inflation. In the past two years there has been a large increase in the number of people relying on food banks. In the six months to September 2022, there was a 40% increase in new food bank users when compared to 2021.

As far as energy prices are concerned, from April 2022 to April 2023, under Ofgem’s price cap, which is based on wholesale energy prices, gas and electricity prices would have risen by 157%, from £1277 to £3286 for the typical household. The government, however, through the Energy Price Guarantee restricted the rise to an average of £2500 (a 96% rise). Also, further help was given in the form of £400 per household, paid in six monthly instalments from October 2022 to March 2023, effectively reducing the rise to £2100 (64%). Nevertheless, for the poorest of households, such a rise meant a huge percentage increase in their outgoings. Many were forced to ‘eat less and heat less’.

Many people have got into rent arrears and have been evicted or are at risk of being so. As the ITV News article and videos linked below state: 242 000 households are experiencing homelessness including rough sleeping, sofa-surfing and B&B stays; 85% of English councils have reported an increase in the number of homeless families needing support; 97% of councils are struggling to find rental properties for homeless families.

Financial strains have serious effects on people’s wellbeing and can adversely affect their physical and mental health. In a policy research paper, ‘From Drained and Desperate to Affluent and Apathetic’ (see link below), the consumer organisation, Which?, looked at the impact of the cost-of-living crisis on different groups. It found that in January 2023, the crisis had made just over half of UK adults feel more anxious or stressed. It divided the population into six groups (with numbers of UK adults in each category in brackets): Drained and Desperate (9.2m), Anxious and At Risk (7.9m), Cut off by Cutbacks (8.8m), Fretting about the Future (7.7m), Looking out for Loved Ones (8.9m), Affluent and Apathetic (8.8m).

The majority of the poorest households are in the first group. As the report describes this group: ‘Severely impacted by the crisis, this segment has faced significant physical and mental challenges. Having already made severe cutbacks, there are few options left for them.’ In this group, 75% do not turn the heating on when cold, 63% skip one or more meals and 94% state that ‘It feels like I’m existing instead of living’.

Many of those on slightly higher incomes fall into the second group (Anxious and At Risk). ‘Driven by a large family and mortgage pressure, this segment has not been particularly financially stable and experienced mental health impacts. They have relied more on borrowing to ease financial pressure.’

Although inflation is now coming down, prices are still rising, interest rates have probably not yet peaked and real incomes for many have fallen significantly. Life at the bottom has got a lot harder.

Articles

Reports

Data

Questions

  1. What are the arguments for and against giving huge pay awards to CEOs?
  2. What are the arguments for and against raising the top rate of income tax to provide extra revenue to distribute to the poor? Distinguish between income and substitution effects.
  3. What policies could be adopted to alleviate poverty? Why are such policies not adopted?
  4. Using the ONS publication, the Effects of taxes and benefits on UK household income, find out how the distribution of income between the various decile groups of household income has changed over time? Comment on your findings.
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Global boiling – why not take urgent action now?

The global average temperature for July 2023 was the highest ever recorded and July 3rd was the world’s hottest day on record. We’ve seen scenes of wildfires raging across much of southern Europe, people suffering searing temperatures in south-west USA, southern India and western China, flash floods in South Korea, Japan and eastern USA. These are all directly related to global warming, which is causing weather systems to become more extreme. And as the planet continues to warm, so these problems will intensify.

The Secretary General of the United Nations, Antonio Guterres, in a press conference on 27 July warned that:

Climate change is here. It is terrifying. And it is just the beginning. The era of global warming has ended; the era of global boiling has arrived. The air is unbreathable. The heat is unbearable. And the level of fossil-fuel profits and climate inaction is unacceptable. Leaders must lead. No more hesitancy. No more excuses. No more waiting for others to move first. There is simply no more time for that.

The environmental, human, social and economic impact of global warming is huge, but concentrated on just part of the world’s population. For many, a more variable climate is at worst an inconvenience – at least in the short term. But it is the short term that politicians are most concerned about when seeking to win the next election.

Tackling climate change requires action to reduce carbon emissions now, even though the effects take many years. But one person’s emissions make only a minuscule contribution to global warming. So why not be selfish and carry on driving, flying off on holiday, using a gas boiler and eating large amounts of red meat? This is what many people want to do and governments know it. Many people do not like green policies as they involve sacrifice. Examples include higher fuel prices and restrictions on what you can do. So, despite the visions of fires, floods and destruction, governments are wary about raising fuel taxes, airport duties and charges to use old high-emission cars in cities; wary about raising taxes generally to provide subsidies for sustainable power generation; wary about banning new oil and gas fields that would reduce reliance on imported fuel.

Because the external costs of carbon emissions are so high and global, government action is required to change behaviour. Education can help and scenes of devastation from around the world may change the hearts and minds or some people. Also, the prospect of profits from cleaner and more fuel-efficient technology can help to spur innovation and investment. But to meet net zero targets still requires policies that are unpopular with many people who might be inconvenienced or have to pay higher petrol, energy and food prices, especially at a time when budgets are being squeezed by inflation.

Part of the problem is a distributional one. The people most affected by the cost-of-living crisis and higher interest rates are those on lower incomes and with higher debts. Politicians know that it will be hard to win the votes of such people if they are faced with higher green taxes. As elections approach, politicians are likely to backtrack on many environmental commitments to appeal to such people.

This is beginning to happen in the UK, with the government declaring that it is on the side of the motorist. Indeed, Rishi Sunak has just announced that the government will authorise more than 100 new licenses for new oil and gas wells in the North Sea. This is despite the United Nations, various other international bodies, climate scientists and charities calling for a halt to all licensing and funding of new oil and gas development from new and existing fields. The government argues that increased North Sea production would reduce the reliance on imported oil.

Video

Articles

Questions

  1. In what sense is the environment a ‘public good’? How is the concept of externalities relevant in analysing the private decisions made about the use of a public good?
  2. How may game theory be used to help understand the difficulties in reaching international agreement about climate change policies?
  3. What is meant by ‘net zero’? Is carbon capture and storage an acceptable alternative to cutting carbon emissions?
  4. In what ways could policies to tackle climate change be designed to reduce income inequality rather than increase it?
  5. What are the arguments for and against banning (a) petrol and diesel cars; (b) gas boilers; (c) fossil-fuel power stations? How much notice should be given if such bans are to be introduced?
  6. What is meant by ‘nudge theory’? In what ways could people be nudged into making greener decisions?
  7. What are the arguments for and against granting new licences for North Sea oil and gas drilling? Explain where you feel the balance of the arguments lies.
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A four-day week – a solution to sluggish productivity growth?

In two previous posts, one at the end of 2019 and one in July 2021, we looked at moves around the world to introduce a four-day working week, with no increase in hours on the days worked and no reduction in weekly pay. Firms would gain if increased worker energy and motivation resulted in a gain in output. They would also gain if fewer hours resulted in lower costs.

Workers would be likely to gain from less stress and burnout and a better work–life balance. What is more, firms’ and workers’ carbon footprint could be reduced as less time was spent at work and in commuting.

If the same output could be produced with fewer hours worked, this would represent an increase in labour productivity measured in output per hour.

The UK’s poor productivity record since 2008

Since the financial crisis of 2007–8, the growth in UK productivity has been sluggish. This is illustrated in the chart, which looks at the production industries: i.e. it excludes services, where average productivity growth tends to be slower. (Click here for a PowerPoint of the chart.)

Prior to the crisis, from 1998 to 2007, UK productivity in the production industries grew at an annual rate of 6.1%. From 2007 to the start of the pandemic in 2020, the average annual productivity growth rate in these industries was a mere 0.5%.

It grew rapidly for a short time at the start of the pandemic, but this was because many businesses temporarily shut down or went to part-time working, and many of these temporary job cuts were low-wage/low productivity jobs. If you take services, the effect was even stronger as sectors such as hospitality, leisure and retail were particularly affected and labour productivity in these sectors tends to be low. As industries opened up and took on more workers, so average productivity fell back. In the four quarters to 2022 Q3 (the latest data available), productivity in the production industries fell by 6.8%.

If you project the average productivity growth rate from 1998 to 2007 of 6.1% forwards (see grey dashed line), then by 2022 Q3, output per hour in the production industries would have been 21/4 times (125%) higher than it actually was. This is a huge productivity gap.

Productivity in the UK is lower than in many other competitor countries. According to the ONS, output per hour in the UK in 2021 was $59.14 in the UK. This compares with an average of $64.93 for the G7 countries, $66.75 in France, £68.30 in Germany, $74.84 in the USA, $84.46 in Norway and $128.21 in Ireland. It is lower, however, in Italy ($54.59), Canada ($53.97) and Japan ($47.28).

As we saw in the blog, The UK’s poor productivity record, low UK productivity is caused by a number of factors, not least the lack of investment in physical capital, both by private companies and in public infrastructure, and the lack of investment in training. Other factors include short-termist attitudes of both politicians and management and generally poor management practices. But one cause is the poor motivation of many workers and the feeling of being overworked. One solution to this is the four-day week.

Latest evidence on the four-day week

Results have just been released of a pilot programme involving 61 companies and non-profit organisations in the UK and nearly 3000 workers. They took part in a six-month trial of a four-day week, with no increase in hours on the days worked and no loss in pay for employees – in other words, 100% of the pay for 80% of the time. The trial was a success, with 91% of organisations planning to continue with the four-day week and a further 4% leaning towards doing so.

The model adopted varied across companies, depending on what was seen as most suitable for them. Some gave everyone Friday off; others let staff choose which day to have off; others let staff work 80% of the hours on a flexible basis.

There was little difference in outcomes across different types of businesses. Compared with the same period last year, revenues rose by an average of 35%; sick days fell by two-thirds and 57% fewer staff left the firms. There were significant increases in well-being, with 39% saying they were less stressed, 40% that they were sleeping better; 75% that they had reduced levels of burnout and 54% that it was easier to achieve a good work–life balance. There were also positive environmental outcomes, with average commuting time falling by half an hour per week.

There is growing pressure around the world for employers to move to a four-day week and this pilot provides evidence that it significantly increases productivity and well-being.

Articles

Questions

  1. What are the possible advantages of moving to a four-day week?
  2. What are the possible disadvantages of moving to a four-day week?
  3. What types of companies or organisations are (a) most likely, (b) least likely to gain from a four-day week?
  4. Why has the UK’s productivity growth been lower than that of many of its major competitors?
  5. Why, if you use a log scale on the vertical axis, is a constant rate of growth shown as a straight line? What would a constant rate of growth line look like if you used a normal arithmetical scale for the vertical axis?
  6. Find out what is meant by the ‘fourth industrial revolution’. Does this hold out the hope of significant productivity improvements in the near future? (See, for example, last link above.)