Category: Economics for Business: Ch 18

At an event at the London Palladium on 6 December staged to protest against elements in the recent Budget, the Conservative leader, Kemi Badenoch, was asked whether she would introduce a flat-rate income tax if the Conservatives were returned to government. She replied that it was a very attractive idea. But first the economy would need ‘rewiring’ so that the tax burden could be lightened.

A flat-rate income tax system could take various forms, but the main feature is that there is a single rate of income tax. The specific rate would depend on how much the government wanted to raise. Also it could apply to just income tax, or to both income tax and social insurance (national insurance contributions (NICs) in the UK), or to income tax, social insurance and the withdrawal rate of social benefits. It could also apply to local/state taxes as well as national/federal taxes.

Take the simplest case of a flat-rate income tax with no personal allowance. In this system the marginal and average rate of tax is the same for everyone. This is known as a proportional tax.

Most countries have a progressive income tax system. This normally involves personal allowances (i.e. a zero rate up to a certain level of income) and then various tax bands, with the marginal rate rising when particular tax thresholds are reached. In England, Wales and Northern Ireland, there are three tax bands: 20%, 40% and 45%. Thus the higher a person’s income is, the higher their average rate of tax.

A regressive tax, by contrast, would be one where the average rate of tax fell as incomes rose. The extreme case of a regressive tax would be a lump-sum tax (such as a TV or other licence), which would be same absolute amount for everyone liable to it, irrespective of their income. This was the case with the ‘poll tax’ (or Community Charge, to give it its official title), introduced by Margaret Thatcher’s government in 1989 in Scotland and 1990 in the rest of the UK. It was a local tax, with each taxpayer taxed the same fixed sum, with the precise amount being set by each local authority. After protests and riots, it was replaced in 1993 by the current system of local taxation (Council Tax) based on property values in bands.


Figures 1 and 2 illustrate these different categories of tax: see Figure 11.12 in Economics, 12th edition. (Click here for a PowerPoint.) Income taxes in most countries are progressive, although just how progressive depends on the differences between the tax bands and the size of personal tax-free allowances. A flat-rate income tax with no allowances is shown by the black line in each diagram, the slope in Figure 1 and the height in Figure 2 depending on the tax rate.

Arguments for a flat-rate income tax

Generally, arguments in favour of flat-rate taxes come from the political right. The two main arguments in favour are tax simplification and incentives.

Advocates argue that a flat tax system makes tax collection easier and makes tax evasion harder. If there are no exemptions, then it can be easier to check that people are paying their taxes and working out the correct amount they owe. It is argued that, in contrast, high tax rates on top earners can encourage tax evasion.

Flat taxes can also be part of a drive to reduce the size of the informal economy. As the VoxEU article states:

Unlike progressive taxes, which include complex and numerous exceptions left to the tax collectors’ discretion, the flat tax is clear cut. In combination with the low rate, its simplicity considerably reduces the stimuli for being informal.

Several post-communist countries in Eastern Europe adopted flat taxes, but for most they were seen as a temporary measure to reduce the informal sector and clamp down on tax evasion. Most have now adopted progressive taxes, with the exceptions of Bulgaria and until recently Russia.

The second major argument is that lower taxes for higher earners, especially for entrepreneurs, can act as a positive incentive. People work harder and there is more investment. The argument here is that the positive substitution effect from the lower tax (work is more profitable now and hence people substitute work for leisure) is greater than the negative income effect (lower taxes increase take-home pay so that people do not need to work so much now to maintain their standard of living).

Then there is the question of tax evasion. With high rates of income tax for top earners, such people may employ accountants to exploit tax loopholes and hide earnings. This could be seen as highly unfair by middle-income earners who are still paying relatively high rates of tax. Even though a move to flat taxes is likely to mean a cut in tax rates for high earners, the tax take from them could be higher. There is evidence that post-communist and developing countries that have adopted flat taxes have found an increase in tax revenues as evasion is harder.

The Laffer curve is often used to illustrate such arguments that high top tax rates can lead to lower tax revenue. Professor Art Laffer was one of President Reagan’s advisers during his first administration (1981–4): see Box 11.3 in Economics, 11th edition. Laffer was a strong advocate of income tax cuts, arguing that substantial increases in output would result and that tax revenues could consequently increase.

The Laffer curve in Figure 3 shows tax revenues increasing as the tax rate increases – but only up to a certain tax rate (t1). Thereafter, tax rates become so high that the resulting fall in output more than offsets the rise in tax rate. When the tax rate reaches 100 per cent, the revenue will once more fall to zero, since no one will bother to work. (Click here for a PowerPoint)

However, as Box 11.3 explains, evidence suggests that tax rates in most countries were well below t1 in the 1980s and certainly are now, given the cuts in income tax rates that have been made around the world over the past 20 years.

Arguments against flat-rate income taxes

The main argument against moving from a progressive to a flat-rate income tax in an advanced country, such as the UK, is that is would involve a large-scale redistribution of income from the poor to the rich. If the tax were designed to raise the same amount of revenue as at present, those on low incomes would pay more tax than now, as their tax rate would rise to the new flat rate. Those on high incomes would pay less tax, as their marginal rate would fall to the new flat rate.

If a new flat-rate tax in the UK also replaced national insurance contributions (NICs), then the effect would be less extreme as NICs are currently initially progressive, as there is a personal allowance before the 8% rate is applied (on incomes above ÂŁ12 570 in 2024/25). But above a higher NI threshold (ÂŁ50 270 in 2024/25), the marginal rate drops to 2%, making it a regressive tax beyond that level. Figure 4 shows tax and NI rates in England, Wales and Northern Ireland for 2024/25. (Click here for a PowerPoint.)

Nevertheless, even if a new flat-rate tax replaced NICs as well as varying rates of income tax, it would still involve a large-scale redistribution from low-income earners to high-income earners. The effect would be mitigated somewhat if personal allowances were raised so that the tax only applied to mid-to-higher incomes. Then the redistribution would be from middle-income earners to high-income earners and also somewhat to low-income earners: i.e. those below, or only a little above, the new higher personal allowance. If, on the other hand, personal allowances were scrapped so that the flat tax applied to all incomes, then there would be a massive redistribution from people on low incomes, including very low incomes, to those on high incomes.

One of the arguments used to justify a flat-rate tax is that its simplicity would ensure greater compliance. But in an advanced country, compliance is high, except, perhaps, for those on very high incomes. Most people in the UK and many other countries, have tax deducted automatically from their wages. People cannot avoid such taxes.

As far as the self-employed are concerned, they file tax returns online and the software automatically works out the tax due. There are no complex calculations that have to be performed by the individual. There is come scope for tax evasion by charging various expenditures to the business that are really personal spending, but the tax authorities can ask for evidence and sometimes do, with penalties for false claims.

What tax evasion does take place, could still do so with a flat tax. At a rate of, say, 20%, it would still be financially beneficial for a dishonest person to lie if they could get way with it.

Conclusions

If the government did try to introduce a flat-rate income tax, there would probably be an outcry. Also, as some rich people would gain a very large amount of money, the number of people gaining would be lower than the number losing if the total revenue raised were to remain the same. In other words, it would be politically difficult to achieve if the number of losers exceeded the number of gainers.

It is true that if the top rate of income tax were very high, then reducing it might bring in more revenue. But at 45%, or 47% if you include NICs, the top marginal rate in the UK is relatively low compared with other countries. In 2024, the UK had the second lowest top rate of tax out of Western European countries (behind Norway and Switzerland) and only the 16th highest out of 33 European countries when Central and Eastern European countries are also included (see the final ink below under ‘Information’). Reducing the UK’s top rate would be unlikely to bring in more revenue and would redistribute income to high-income earners.

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Information

Questions

  1. Distinguish between progressive, proportional, regressive and lump-sum taxes. Into which of these four categories would you place (a) VAT, (b) motor fuel duties, (c) tobacco duties, (d) road-fund licence, (e) inheritance tax? Where the answer is either progressive or regressive, how progressive or regressive are they?
  2. What are the income and substitution effects of changing tax rates?
  3. Explain the Laffer curve and consider whether it is likely to be symmetrical.
  4. Discuss the desirability of having a flat tax set at a relatively high rate (say 25%) with tax-free personal allowances up to the level of income considered to be the poverty threshold. (In the UK the poverty threshold is often defined as 60% of median income.)
  5. In the London Palladium event where Kemi Badenoch stated that flat taxes were a very attractive idea, she also said that ‘We cannot afford flat taxes where we are now. We need to make sure we rewire our economy so that we can lighten the burden of tax and the regulation on individuals and on those businesses that are just starting out, in particular’. What do you think she meant by this?
  6. Find out what Bulgaria’s experience of a flat tax of 10% has been.

The first Budget of the new UK Labour government was announced on 30 October 2024. It contained a number of measures that will help to tackle inequality. These include extra spending on health and education. This will benefit households on lower incomes the most as a percentage of net income. Increases in tax, by contrast, will be paid predominantly by those on higher incomes. The Chart opposite (taken from the Budget Report) illustrates this. It shows that the poorest 10% will benefit from the largest percentage gain, while the richest 10% will be the only decile that loses.

But one of the major ways of tackling inequality and poverty was raising the minimum wage. The so-called ‘National Living Wage (NLW)’, paid to those aged 21 and over, will rise in April by 6.7% – from ÂŁ11.44 to ÂŁ12.41 per hour. The minimum wage paid to those aged 18 to 20 will rise 16.3% from ÂŁ8.60 to ÂŁ10.00 and for 16 and 17 year-olds and apprentices it will rise ÂŁ18% from ÂŁ6.40 to ÂŁ7.55.

It has been an objective of governments for several years to relate the minimum wage to the median wage. In 2015, the Conservative Government set a target of raising the minimum wage rate to 60 per cent of median hourly earnings by 2020. When that target was hit a new one was set to reach two-thirds of median hourly earnings by 2024.

The Labour government has set a new remit for the minimum wage (NLW). There are two floors. The first is the previously agreed one, that the NLW should be at least two-thirds of median hourly earnings; the second is that it should fully compensate for cost of living rises and for expected inflation up to March 2026. The new rate of ÂŁ12.41 will meet both criteria. According to the Low Pay Commission, ‘Wages have risen faster than inflation over the past 12 months, and are forecast to continue to do so up to March 2026’. This makes the first floor the dominant one: meeting the first floor automatically meets the second.

How effective is the minimum wage in reducing poverty and inequality?

Figure 1 shows the growth in minimum wage rates since their introduction in 1999. The figures are real figures (i.e. after taking into account CPI inflation) and are expressed as an index, with 1999 = 100. The chart also shows the growth in real median hourly pay. (Click here for a Powerpoint.)

As you can see, the growth in real minimum wage rates has considerably exceeded the growth in real median hourly pay. This has had a substantial effect on raising the incomes of the poorest workers and thereby has helped to reduce poverty and inequality.

The UK minimum wage compares relatively favourably with other high-income economies. Figure 2 shows minimum wage rates in 12 high-income countries in 2023 – the latest year for which data are available. (Click here for a PowerPoint.) The red bars (striped) show hourly minimum wage rates in US dollars at purchasing-power parity (PPP) rates. PPP rates correct current exchange rates to reflect the purchasing power of each country’s currency. The blue bars (plain) show minimum wage rates as a percentage of the median wage rate. In 2023 the UK had the fourth highest minimum wage of the 12 countries on this measure (59.6%). As we have seen above, the 2025 rate is expected to be 2/3 of the median rate.

Minimum wages are just one mechanism for reducing poverty and inequality. Others include the use of the tax and benefit system to redistribute incomes. The direct provision of services, such as health, education and housing at affordable rents can make a significant difference and, as we have seen, have been a major focus of the October 2024 Budget.

The government has been criticised, however, for not removing the two-child limit to extra benefits in Universal Credit (introduced in 2017). The cap clearly disadvantages poor families with more than two children. What is more, for workers on Universal Credit, more than half of the gains from the higher minimum wages will lost because they will result in lower benefit entitlement. Also the freeze in (nominal) personal income tax allowances will mean more poor people will pay tax even with no rise in real incomes.

Effects on employment: analysis

A worry about raising the minimum wage rate is that it could reduce employment in firms already paying the minimum wage and thus facing a wage rise.

In the case of a firm operating in competitive labour and goods markets, the demand for low-skilled workers is relatively wage sensitive. Any rise in wage rates, and hence prices, by this firm alone would lead to a large fall in sales and hence in employment.

This is illustrated in Figure 3 (click here for a PowerPoint). Assume that the minimum wage is initially the equilibrium wage rate We. Now assume that the minimum wage is raised to Wmin. This will cause a surplus of labour (i.e. unemployment) of Q3Q2. Labour supply rises from Q1 to Q3 and the demand for labour falls from Q1 to Q2.

But, given that all firms face the minimum wage, individual employers are more able to pass on higher wages in higher prices, knowing that their competitors are doing the same. The quantity of labour demanded in any given market will not fall so much – the demand is less wage elastic; and the quantity of labour supplied in any given market will rise less – the supply is less wage elastic. Any unemployment will be less than that illustrated in Figure 3. If, at the same time, the economy expands so that the demand-for-labour curve shifts to the right, there may be no unemployment at all.

When employers have a degree of monopsony power, it is not even certain that they would want to reduce employment. This is illustrated in Figure 4: click here for a PowerPoint (you can skip this section if you are not familiar with the analysis).

Assume initially that there is no minimum wage. The supply of labour to the monopsony employer is given by curve SL1, which is also the average cost of labour ACL1. A higher employment by the firm will drive up the wage; a lower employment will drive it down. This gives a marginal cost of labour curve of MCL1. Profit-maximising employment will be Q1, where the marginal cost of labour equals the marginal revenue product of labour (MRPL). The wage, given by the SL1 (=ACL1) line will be W1.

Now assume that there is a minimum wage. Assume also that the initial minimum wage is at or below W1. The profit-maximising employment is thus Q1 at a wage rate of W1.

The minimum wage can be be raised as high as W2 and the firm will still want to employ as many workers as at W1. The point is that the firm can no longer drive down the wage rate by employing fewer workers, and so the ACL1 curve becomes horizontal at the new minimum wage and hence will be the same as the MCL curve (MCL2 = ACL2). Profit-maximising employment will be where the MRPL curve equals this horizontal MCL curve. The incentive to cut its workforce, therefore, has been removed.

Again, if we extend the analysis to the whole economy, a rise in the minimum wage will be partly passed on in higher prices or stimulate employers to increase labour productivity. The effect will be to shift the (MRPL) curve upwards to the right, thereby allowing the firm to pass on higher wages and reducing any incentive to reduce employment.

Effects on employment: evidence

There is little evidence that raising the minimum wage in stages will create unemployment, although it may cause some redeployment. In the Low Pay Commission’s 2019 report, 20 years of the National Minimum Wage (see link below), it stated that since 2000 it had commissioned more than 30 research projects looking at the NMW’s effects on hours and employment and had found no strong evidence of negative effects. Employers had adjusted to minimum wages in various ways. These included reducing profits, increasing prices and restructuring their business and workforce.

Along with our commissioned work, other economists have examined the employment effects of the NMW in the UK and have for the most part found no impact. This is consistent with international evidence suggesting that carefully set minimum wages do not have noticeable employment effects. While some jobs may be lost following a minimum wage increase, increasing employment elsewhere offsets this. (p.20)

There is general agreement, however, that a very large increase in minimum wages will impact on employment. This, however, should not be relevant to the rise in the NLW from ÂŁ11.44 to ÂŁ12.41 per hour in April 2025, which represents a real rise of around 4.5%. This at worst should have only a modest effect on employment and could be offset by economic growth.

What, however, has concerned commentators more is the rise in employers’ National Insurance contributions (NICs) that were announced in the Budget. In April 2025, the rate will increase from 13.8% to 15%. Employers’ NICs are paid for each employee on all wages above a certain annual threshold. This threshold will fall in April from ÂŁ9100 to ÂŁ5000. So the cost to an employer of an employee earning ÂŁ38 000 per annum in 2024/25 would be ÂŁ38 000 + ((ÂŁ38 000 – ÂŁ9100) × 0.138) = ÂŁ41 988.20. For the year 2025/26 it will rise to ÂŁ38 000 + ((ÂŁ38 000 – ÂŁ5000) × 0.15) = ÂŁ42 950. This is a rise of 2.29%. (Note that ÂŁ38 000 will be approximately the median wage in 2025/26.)

However, for employees on the new minimum wage, the percentage rise in employer NICs will be somewhat higher. A person on the new NLW of ÂŁ12.41, working 40 hours per week and 52 weeks per year (assuming paid holidays), will earn an annual wage of ÂŁ25 812.80. Under the old employer NIC rates, the employer would have paid (ÂŁ25 812.80 + (ÂŁ25 812.80 – ÂŁ9100) × 0.138) = ÂŁ28 119.17. For the year 2025/26, it will rise to ÂŁ25 812.80 + ((ÂŁ25 812.80 – ÂŁ5000) × 0.15) = ÂŁ28 934.72. This is a rise of 2.90%.

This larger percentage rise in employers’ wage costs for people on minimum wages than those on median wages, when combined with the rise in the NLW, could have an impact on the employment of those on minimum wages. Whether it does or not will depend on how rapid growth is and how much employers can absorb the extra costs through greater productivity and/or passing on the costs to their customers.

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UK Government reports and information

Data

Questions

  1. How is the October 2024 Budget likely to affect the distribution of income?
  2. What are the benefits and limitations of statutory minimum wages in reducing (a) poverty and (b) inequality?
  3. Under what circumstances will a rise in the minimum wage lead or not lead to an increase in unemployment?
  4. Find out what is meant by the UK Real Living Wage (RLW) and distinguish it from the UK National Living Wage (NLW). Why is the RLW higher?
  5. Why is the median wage rather than the mean wage used in setting the NLW?

In the first of a series of updated blogs focusing on the importance of the distinction between nominal and real values we look at the issue of earnings. Here we update the blog Getting Real with Pay written back in February 2019. Then, we noted how the macroeconomic environment since the financial crisis of the late 2000s had continued to affect people’s pay. Specifically, we observed that there had been no growth in real or inflation-adjusted pay. In other words, people were no better off in 2019 than in 2008.

In this updated blog, we consider to what extent the picture has changed five years down the line. While we do not consider the distributional impact on pay, the aggregate picture nonetheless continues to paint a very stark picture, with consequences for living standards and financial wellbeing.

While the distinction between nominal and real values is perhaps best known in relation to GDP and economic growth, the distinction is also applied frequently to analyse the movement of one price relative to prices in general. One example is that of movements in pay (earnings) relative to consumer prices.

Pay reflects the price of labour. The value of our actual pay is our nominal pay. If our pay rises more quickly than consumer prices, then our real pay increases. This means that our purchasing power rises and so the volume of goods and services we can afford increases. On the other hand, if our actual pay rises less quickly than consumer prices then our real pay falls. When real pay falls, purchasing power falls and the volume of goods and services we can afford falls.

Figures from the Office for National Statistics show that in January 2000 regular weekly pay (excluding bonuses and before taxes and other deductions from pay) was ÂŁ293. By April 2024 this had risen to ÂŁ640. This is an increase of 118 per cent. Over the same period, the consumer prices index known as the CPIH, which, unlike the better-known CPI, includes owner-occupied housing costs and council tax, rose by 82 per cent. Therefore, the figures are consistent with a rise both in nominal and real pay between January 2000 to April 2024. However, this masks a rather different picture that has emerged since the global financial crisis of the late 2000s.

Chart 1 shows the annual percentage changes in actual (nominal) regular weekly pay and the CPIH since January 2001. Each value is simply the percentage change from 12 months earlier. The period up to June 2008 saw the annual growth of weekly pay outstrip the growth of consumer prices – the blue line in the chart is above the red dashed line. Therefore, the real value of pay rose. However, from June 2008 to August 2014 pay growth consistently fell short of the rate of consumer price inflation – the blue line is below the red dashed line. The result was that average real weekly pay fell. (Click here to download a PowerPoint copy of the chart.)

Chart 2 show the average levels of nominal and real weekly pay. The real series is adjusted for inflation. It is calculated by deflating the nominal pay values by the CPIH. Since the CPIH is a price index whose value averages 100 across 2015, the real pay values are at constant 2015 consumer prices. From the chart, we can see that the real value of weekly pay peaked in April 2008 at ÂŁ473 at 2015 prices. The subsequent period saw rates of pay increases that were lower than rates of consumer price inflation. This meant that by March 2014 the real value of weekly pay had fallen by 6.3 per cent to ÂŁ443 at 2015 prices. (Click here to download a PowerPoint copy of the chart.)

Although real (inflation-adjusted) pay recovered a little after 2014, 2017 again saw consumer price inflation rates greater than those of pay inflation (see Chart 1). This meant that at the start of 2018 real earnings were 3.2 per cent lower than their 2008-peak (see Chart 2). Real earnings then began to recover, buoyed by the economic rebound following the relaxation of COVID lockdown measures and increasing staffing pressures. Real earnings finally passed their 2008-peak in August 2020. By April 2021 regular weekly pay reached ÂŁ491 at 2015 prices which was 3.8 per cent above the pre-global financial crisis peak.

However, the boost to real wages was to be short-lived as inflationary pressures rose markedly. While some of this was attributable to the same pressures that were driving up wages, inflationary pressures were fuelled further by the commodity price shock arising from Russia’s invasion of Ukraine and, in particular, its impact on energy prices. This saw the CPIH inflation rate rise to 9.6 per cent in October 2022 (while the CPI inflation rate peaked in the same month at 11.1 per cent). The result was that real weekly earnings fell by 2.7 per cent between January and October 2022 to stand at ÂŁ471 at 2015 consumer prices. Consequently, average pay was once again below its pre-global financial crisis level.

Although inflationary pressures have recently weakened and real earnings have begun to recover, real regular weekly earnings in April 20024 (ÂŁ486 at 2015 prices) were a mere 2.7 per cent higher than back in the first half of 2008. This compares to a nominal increase of around 58 per cent over the same period thereby demonstrating the importance of the distinction between nominal and real values in understanding what developments in pay mean for the purchasing power of households.

Chart 3 reinforces the importance of the nominal-real distinction. It shows nicely the sustained period of real pay deflation (negative rates of pay inflation) that followed the financial crisis, and the significant rates of real pay deflation associated with the recent inflation shock.

The result is that since June 2008 the average annual rate of growth of real regular weekly pay has been 0.1 per cent, despite nominal pay increasing at an annual rate of 2.9 per cent. In contrast, the period from January 2001 to May 2008 saw real regular weekly pay grow at an annual rate of 2.1 per cent with nominal pay growing at an annual rate of 4.0 per cent. (Click here to download a PowerPoint copy of the chart.)

If we think about the growth of nominal earnings, we can identify two important determinants.

The first is the expected rate of inflation. Workers will understandably want wage growth at least to match the growth in prices so as to maintain their purchasing power.

The second factor is the growth in labour productivity. Firms will be more willing to grant pay increases if workers are more productive, since productivity helps to offset pay increases and maintain firms’ profit margins. Consequently, since over time the actual rate of inflation will tend to mirror the expected rate, the growth of real pay is closely related to the growth of labour productivity. This is significant because, as John discusses in his blog The Productivity Puzzle (14 April 2024), labour productivity growth in the UK, as measured by national output per worker hour, has stalled since the global financial crisis.

Understanding the stagnation of real earnings therefore nicely highlights the interconnectedness of economic variables. In this case, it highlights the connections between productivity, levels of investment and people’s purchasing power. It is not surprising, therefore, that the stagnation of both real earnings and productivity growth since the global financial crisis have become two of the most keenly debated macroeconomic issues of recent times. Indeed, it is likely that their behaviour will continue to shape macroeconomic debates and broader conversations around government policy for some time.

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Questions

  1. Using the examples of both GDP and earnings, explain how the distinction between nominal and real relates to the distinction between values and volumes.
  2. In what circumstances would an increase in actual pay translate into a reduction in real pay?
  3. In what circumstances would a decrease in actual pay translate into an increase in real pay?
  4. What factors might explain the reduction in real rates of pay seen in the UK following the financial crisis of 2007–8?
  5. Of what importance might the growth in real rates of pay be for consumption and aggregate demand?
  6. Why is the growth of real pay an indicator of financial well-being? What other indicators might be included in measuring financial well-being?
  7. Assume that you have been asked to undertake a distributional analysis of real earnings since the financial crisis. What might be the focus of your analysis? What information would you therefore need to collect?

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?