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’.
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.
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.
- The Macroeconomics of Artificial Intelligence
IMF publications, Erik Brynjolfsson and Gabriel Unger (December 2023)
- Economic impacts of artificial intelligence (AI)
European Parliamentary Research Service, Marcin Szczepański (July 2019)
- Artificial intelligence: A real game changer
Chief Investment Office, Merrill/Bank of America (July 2023)
- Generative AI could raise global GDP by 7%
Goldman Sachs, Joseph Briggs (5/4/23)
- The macroeconomic impact of artificial intelligence
PwC, Jonathan Gillham, Lucy Rimmington, Hugh Dance, Gerard Verweij, Anand Rao, Kate Barnard Roberts and Mark Paich (February 2018)
- How genAI is revolutionizing the field of economics
CNN, Bryan Mena and Samantha Delouya (12/10/23)
- AI-powered digital colleagues are here. Some ‘safe’ jobs could be vulnerable.
BBC Worklife, Sam Becker (30/11/23)
- Generative AI and Its Economic Impact: What You Need to Know
Investopedia, Jim Probasco (1/12/23)
- AI is coming for our jobs! Could universal basic income be the solution?
The Guardian Philippa Kelly (16/11/23)
- CFPB chief’s warning: AI is a ‘natural oligopoly’ in the making
Politico, Sam Sutton (21/11/23)
- Which industries are most likely to benefit from the development of AI?
- Distinguish between labour-replacing and labour-augmenting technological progress in the context of AI.
- How could AI reduce the amount of labour per unit of output and yet result in an increase in employment?
- What people are most likely to (a) gain, (b) lose from the increasing use of AI?
- Is the distribution of income likely to become more equal or less equal with the development and adoption of AI? Explain.
- What policies could governments adopt to spread the gains from AI more equally?
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.
- Results from world’s largest 4 day week trial bring good news for the future of work
4 Day Week Global, Charlotte Lockhart (21/2/23)
- Four-day week: ‘major breakthrough’ as most UK firms in trial extend changes
The Guardian, Heather Stewart (21/2/23)
- Senedd committee backs four-day working week trial in Wales
The Guardian, Steven Morris (24/1/23)
- ‘Major breakthrough’: Most firms say they’ll stick with a four-day working week after successful trial
Sky News, Alice Porter (21/2/23)
- Major four-day week trial shows most companies see massive staff mental health benefits and profit increase
Independent, Anna Wise (21/2/23)
- Four-day week: Which countries have embraced it and how’s it going so far?
euronews, Josephine Joly and Luke Hurst (23/2/23)
- Firms stick to four-day week after trial ends
BBC News, Simon Read, Lucy Hooker & Emma Simpson (21/2/23)
- The climate benefits of a four-day workweek
BBC Future Planet, Giada Ferraglioni and Sergio Colombo (21/2/23)
- Four-day working week: why UK businesses and workers will continue with new work pattern, plus pros and cons
National World, Rochelle Barrand (22/2/23)
- Most companies in UK four-day week trial to continue with flexible working
Financial Times, Daniel Thomas and Emma Jacobs (21/2/23)
- The pros and cons of a four-day working week
Financial Times, Editorial (13/2/23)
- Explaining the UK’s productivity slowdown: Views of leading economists
VoxEU, Ethan Ilzetzki (11/3/20)
- Why the promised fourth industrial revolution hasn’t happened yet
The Conversation, Richard Markoff and Ralf Seifert (27/2/23)
- What are the possible advantages of moving to a four-day week?
- What are the possible disadvantages of moving to a four-day week?
- What types of companies or organisations are (a) most likely, (b) least likely to gain from a four-day week?
- Why has the UK’s productivity growth been lower than that of many of its major competitors?
- 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?
- 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.)
Long queues at petrol pumps, with many filling stations running out of fuel; fears of shortages of food and various other items in supermarkets; orders by shops and warehouses unfilled or delayed. These have been some of the headlines in the UK in recent days.
The immediate problem is a shortage of over 100 000 lorry drivers, with thousands of drivers from EU countries, who were previously living and working in the UK, having returned to their home countries. Their numbers have not been replaced by British drivers, a problem exacerbated by a decline in HGV tests during the pandemic. Thus the supply of lorry drivers has fallen.
At the same time, as the economy recovers from the COVID-19 pandemic, aggregate demand has risen and with it the demand for lorry drivers.
The shortage is pushing up wages somewhat, but not enough to eliminate the shortage. What is more, the supply of lorry drivers is relatively wage inelastic: a higher wage does not attract many more drivers into the market. Also the demand is also relatively wage inelastic: a higher wage does not do much to dampen the demand for drivers.
But why has this happened? Why has the supply of drivers fallen and why is it inelastic? And what will happen in the coming months? The three main causes are Brexit, COVID-19 and working conditions.
With Brexit, many EU workers left the UK, finding life and working conditions more conducive in the EU. Many EU drivers had faced discrimination and felt that they were not welcome in the UK. It has been difficult finding replacement drivers from the EU as the UK’s immigration system, which now applies to the EU as well as other countries, prioritises workers who are classified as high-skilled, and these do not include lorry drivers.
Those EU drivers who do want to stay as UK residents are finding that settled status or visas are not easy to achieve and involve filling in various documents, which can be an onerous and time-consuming process. As the writer of the first linked bog below, who is a Polish worker in the transport industry, states, ‘Would you rather come to Britain and jump through all the hoops, or choose any of the well-paying EU countries, for example, Germany that, if you live in Western Poland, is just a short drive across (virtually non-existent thanks to Schengen) border?’ Another problem is that with EU driving licences: it is harder for potential employers to check on their status and thus they may prefer to employ UK drivers. This, again, puts off EU drivers from seeking to stay in the UK.
Even in the case of EU drivers living in the EU but delivering to the UK there are problems. First there are the dangers for drivers of boarding ferries in France, where people from migrant camps seek to board lorries to get passage to the UK, often threatening drivers. If illegal migrants do succeed in boarding a trailer unseen by the driver, the driver can then be arrested in the UK. According to the Polish blogger, it’s ‘no surprise that I hear more and more drivers who, when taking on new jobs, demand guarantees from their employers that they won’t be sent to the UK’.
Then there is a decline in the system known as ‘cabotage’. This is where an EU driver delivers from the EU to destination A in the UK and takes back a load to the EU from destination B in the UK. To avoid having to travel empty between the two UK destinations, the driver could pick up a load to take from A to B. With a fall in imports and exports from and to the EU following Brexit, there are fewer EU lorries on UK roads. This means that there is now less capacity for transporting loads within the UK.
There has also been a large rise in ‘red tape’ associated with post-Brexit customs checks and border controls. This means that lorries can be held up at ports. This makes it much less attractive for EU haulage companies to export to the UK rather than to other EU countries, where paperwork is minimal. In addition, m many drivers are paid by the length of the journey rather than by the time spent, so delays result in them earning less per hour. Full checks have not been introduced yet. When they are, in January and July next year, the problem will be worse.
Tax changes make it more difficult for drivers to avoid taxes by claiming that they are self employed when they are in reality employees. This too is discouraging drivers from the EU from moving to or staying in the UK since many would now (since April 2021) be paying more tax.
Another contributing factor to the shortage of drivers has been COVID-19 and the government’s response to it. COVID rates are considerably higher in the UK than in most EU countries and, not surprisingly, many EU drivers are afraid to come to the UK.
The pandemic led to fewer HGV driver tests, with 25 000 fewer candidates passing their test in 2020 than in 2019. It takes time to train new drivers and then to test them. However, even if there had been no reduction in HGV drivers passing their tests, there would still be a significant shortage of qualified drivers.
A further problem with the effects of COVID-19 on the economy has been the initial recession and then the bounce back. The sheer size of the bounce back has exacerbated the problem of driver shortages, which otherwise would have been slower to develop, giving the market more time to respond. Real GDP grew by 5.5% from 2021 Q1 to 2021 Q2, giving an annual growth rate of 23.6%. Nevertheless, GDP was still some 3.3% below its 2019 Q3 level.
Pay and working conditions
Working conditions are very poor for many drivers. The following are common complaints:
- Driving jobs are often very tightly controlled, with computer monitoring and little freedom for the driver. Some cabs have cameras aimed at the drivers so that they can be constantly monitored.
- Drivers are subject to very stringent health and safety regulations, such as not being allowed to drive longer than a certain time, even when they are queuing in congested traffic. Whilst many of these regulations are desirable to protect both the public’s and the driver’s safety, they can discourage drivers from entering or staying in the industry. And some regulations are hard to justify on safety grounds (see second linked article below, point 13).
- Just-in-time deliveries at supermarkets, regional distribution centres (warehouses) or factories make timing very important and add considerable stress to drivers who may face abuse if they are late, even though it was not their fault, with their employer perhaps facing a fine. And yet on other occasions they might have to wait a long time to offload if drivers before them have been delayed, and often the conditions in waiting areas are poor with few if any facilities.
- Drivers often feel a lack of respect from employers, trainers and the general public.
- Rest and refreshment facilities are often very poor in the UK and generally much worse than in the EU. In the EU, motorway service areas have better parking, toilets, showers and shops. Restaurants are better and cheaper. Dedicated truck stops have supermarkets, laundrettes, showers or even open-air gyms dedicated to making drivers’ lives easier and more pleasant. The UK by contrast often has very poor facilities. Unlike in most EU motorway services, drivers have to pay to park and are faced with poor toilet and eating facilities. ‘Meanwhile, a typical British truck stop is some dusty yard full of potholes on the side of some industrial estate with a portaloo and a “greasy spoon” burger van parked next to it.’
- Hours are long. Even though driving hours are restricted to 10 hours per day (recently extended to 11 hours), the average working day may be much longer as drivers have to wait at distribution centres, fill in increasing amounts of paperwork and help load or unload their vehicle. Also drivers may have to work variable shifts, which leads to disturbed sleeping patterns.
- The work is often physically demanding, especially when a large part of the job involves loading and unloading and moving items from the lorry to where the customer wants them.
- Many vehicles are hard and unpleasant to drive, with leased vehicles often low-spec, dirty, uncomfortable and poorly maintained.
- Many of the jobs are agency jobs that do not offer stable employment.
Although pay is higher than in some parts of the labour market where there are shortages, such as social care and hospitality, pay per hour is still relatively poor when compared with many industries which have better conditions of employment.
The government is allowing more foreign workers into the UK from this month (October); more training places will be offered for potential drivers and the number of driving tests will increase; the government is also encouraging retired drivers or those who have left driving for other jobs to return to the industry.
However, there are shortages of drivers in other EU countries and so it will be difficult to attract additional drivers to the UK from the EU. What is more, with wages and working conditions remaining poor and the labour market remaining tight in other sectors, it might be hard to fill new training places and encourage workers to return to driving. Also, with the average age of drivers being 55, it is likely that the outflow of workers from driving jobs could be large in the coming years.
- Twenty reasons why there is an HGV driver shortage – part one: 1-10
West Country Bylines, Tomasz Oryński (21/9/21)
- Twenty reasons why there is an HGV driver shortage – part 2: reasons 11-20
West Country Bylines, Tomasz Oryński (23/9/21)
- Gas Shortages Awaken Britain to Some Crucial Workers: Truck Drivers
New York Times, Eshe Nelson and Megan Specia (29/9/21)
- Time running out to save UK industry from worker shortages, say business leaders
CNN, Walé Azeez (1/10/21)
- Boris Johnson’s Brexit choices are making Britain’s fuel and food shortages worse
CNN, Hanna Ziady (29/9/21)
- How serious is the shortage of lorry drivers?
BBC News, Reality Check Team (28/9/21)
- Petrol shortage: Is the fuel crisis improving?
BBC News (1/10/21)
- UK visa plan will not fix lorry driver shortage, says boss
BBC News (28/9/21)
- The empty shelves crisis isn’t just down to Covid and Brexit – it’s been decades in the making
The Guardian, Felicity Lawrence (17/9/21)
- Emergency visa scheme extended in major U-turn by Boris Johnson
The Guardian, Rajeev Syal (1/10/21)
- Truck driver shortage won’t be solved by quick fix visas – here are three ways forward
The Conversation, Temidayo Akenroye (27/9/21)
- UK lorry driver shortage a stark example of a wider European problem
Euronews, Luke Hurst and Shona Murray (29/9/21)
- Emergency visas won’t tempt European lorry drivers to UK, say haulage chiefs
The Observer, Jon Henley, Michael Savage and James Tapper (25/9/21)
- Labour shortage threatens to cancel out any Brexit dividend
British Meat Processors Association, Industry News, Peter Hardwick (28/9/21)
- How to control a consumer panic
BBC News. Faisal Islam (28/9/21)
- Why are the supply of and demand for lorry drivers relatively wage inelastic?
- Use a marginal productivity diagram to explain the current situation in the market for lorry drivers.
- What policy measures could be adopted to increase the supply of lorry drivers? How successful would these be?
- Is it ‘rational’ for consumers to ‘panic buy’ fuel and other products in short supply?
- Find out why there is a shortage of lorry drivers in the EU. Are any of the explanations similar to those in the UK?
- What are the macroeconomic implications of a shortage of lorry drivers and other key workers?
In a post at the end of 2019, 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.
In New Zealand, Unilever has begun a one-year experiment to allow all 81 of its employees to work one day less each week and no more hours per day. This, it argues, might boost productivity and improve employees’ work-life balance.
The biggest experiment so far has been in Iceland. From 2015 to 2019 more than 2500 people took part in a pilot programme (about 1 per cent of Iceland’s working population). This involved reducing the working week to four days and reducing hours worked from 40 hours per week to 35 or 36 hours with no reduction in weekly pay.
Analysis of the results of the trial, published in July 2021, showed that output remained the same or improved in the majority of workplaces.
As a result of agreements struck with unions since the end of the pilot programme, 86% of Iceland’s workforce have either moved to shorter hours for the same pay or will gain the right to do so.
Many companies and public-sector employers around the world are considering reducing hours or days worked. With working patterns having changed for many employees during the pandemic, employers may now be more open to rethinking ways of deploying their workforce more productively. And this may involve rethinking worker motivation and welfare.
- Distinguish between different ways of measuring labour productivity.
- Summarise the results of the Iceland pilot.
- In what ways may reducing working hours reduce a firm’s total costs?
- What are the advantages and disadvantages of the government imposing (at some point in the future) a maximum working week or a four-day week?
- What types of firm might struggle in introducing a four-day week or a substantially reduced number of hours for full-time employees?
- What external benefits and costs might arise from a shorter working week?
In March 2020, the UK government introduced a Coronavirus Job Retention Scheme. Businesses that had to close or cut back could put staff on furlough and the scheme would allow employers to claim 80% of workers’ wages up to £2500 per month. This would be passed on to workers.
There was large-scale uptake of the scheme. By the end of August, 9.6 million employees were on furlough (28% of the workforce) from around 1.2 million employers (61% of eligible employers). The scheme significantly stemmed the rise in unemployment. The claimant count rose 121% from March to August from 1.24 million to 2.74 million, far less than it would have done without the furlough scheme.
Since 1 August the level of support has been reduced in stages and is due to end on 31 October. It will then be replaced by a new ‘Job Support Scheme (JSS)‘ running from 1 November 2020 to 30 April 2021. Initially, employees must work at least 33% of their usual hours. For hours not worked, the government and the employer will pay a third each. There would be no pay for the final third. This means that an employee would receive at least 77.7% (33% + (2/3)67%) of their full pay – not far short of the 80% under the furlough scheme.
Effects on unemployment
Will the scheme see a substantial rise in unemployment, or will it be enough to support a gradual recovery in the economy as more businesses are able to reopen or take on more staff?
On first sight, it might seem that the scheme will give only slightly less job protection than the job furlough scheme with employees receiving only a little less than before. But, unlike the previous scheme, employers will have to pay not only for work done, but also an additional one-third for work not done. This is likely to encourage employers to lay off part of their staff and employ the remainder for more than one-third of their usual hours. Other firms may simply not engage with the scheme.
What is more, the furlough scheme paid wages for those previously employed by firms that were now closed. Under the new scheme, employees of firms that are forced to stay closed, such as many in the entertainments industry, will receive nothing. They will lose their jobs (at least until such firms are able to reopen) and will thus probably have to look for a new job. The scheme does not support them.
The government acknowledges that some people will lose their jobs but argues that it should not support jobs that are no longer viable. The question here is whether some jobs will eventually become viable again when the Covid restrictions are lifted.
With Covid cases on the rise again and more restrictions being imposed, especially at a local level, it seems inevitable that unemployment will continue to rise for some time with the ending of the furlough scheme and as the demand for labour remains subdued. The ending of the new scheme in April could compound the problem. Even when unemployment does begin to fall, it may take many months to return to pre-pandemic levels.
Update: expansion of the scheme
On 9 October, with Covid-19 cases rising rapidly in some parts of the country and tighter restrictions being imposed, the government announced that it was extending the scheme. From 1 November, employees of firms in certain parts of the country that would be required to close by the government, such as bars and restaurants, would be paid two-thirds of their previous wages by the government.
Critics of this extension to the scheme argue many firms will still be forced to shut because of lack of demand, even though they are not legally being required close. Employees of such firms will receive nothing from the scheme and will be forced onto Universal Credit. Also, the scheme will mean that many of the workers who do receive the money from the government will still face considerable hardship. Many will previously have been on minimum wages and thus will struggle to manage on only two-thirds of their previous wages.
- Job Support Scheme: What will I be paid after furlough?
BBC News, Eleanor Lawrie (1/10/20)
- Chancellor unveils new Job Support Scheme and extends self-employed grant
MSE News, Callum Mason (24/9/20)
- Sunak has bought himself time, but his big test will come as crisis eases
IFS Newspaper article, Paul Johnson (28/9/20)
- The businesses that feel left behind by Sunak’s jobs support scheme
Channel 4 News, Paul McNamara (25/9/20
- Covid: Jobs scheme ‘won’t stop major rise in unemployment’
BBC News (25/9/20)
- How the new Job Support Scheme will work
FT Adviser, Richard Churchill (30/9/20)
- Covid scheme: UK government to cover 22% of worker pay for six months
The Guardian, Phillip Inman (24/9/20)
- Hard winter ahead as Sunak tries to stop job losses hitting postwar record
The Guardian, Larry Elliott (24/9/20)
- Job Support Scheme ‘won’t reduce job losses’
Personnel Today, Ashleigh Webber (25/9/20)
- Sunak’s new job support scheme offers warm words but no escape from the coming unemployment chill
The Conversation, David Spencer (24/9/20)
- If people on furlough were counted as unemployed, find out what would have happened to the unemployment rate between March and August 2020.
- If an employer were previously employing two people doing the same type of job and now has enough work for only one person, under the Job Support Scheme would it be in the employers’ financial interest to employ one worker full time and make the other redundant or employ both of the workers half time? Explain your arguments.
- What are the arguments for and against the government supporting jobs for more than a few months?
- What determines the mobility of labour? What policies could the government pursue to increase labour mobility?
- Find out what policies to support employment or wages have been pursued by two other countries since the start of the pandemic. Compare them with the policies of the UK government.