Tag: universal basic income

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.



  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?

The latest edition of the IMF’s Fiscal Monitor, ‘Tackling Inequality’ challenges conventional wisdom that policies to reduce inequality will also reduce economic growth.

While some inequality is inevitable in a market-based economic system, excessive inequality can erode social cohesion, lead to political polarization, and ultimately lower economic growth.

The IMF looks at three possible policy alternatives to reduce inequality without damaging economic growth

The first is a rise in personal income tax rates for top earners. Since top rates have been cut in most countries, with the OECD average falling from 62% to 35% over the past 30 years, the IMF maintains that there is considerable scope of raising top rates, with the optimum being around 44%. Evidence suggests that income tax elasticity is low at most countries’ current top rates, meaning that a rise in top income tax rates would only have a small disincentive effect on earnings.

An increased progressiveness of income tax should be backed by sufficient taxes on capital to prevent income being reclassified as capital. Different types of wealth tax, such as inheritance tax, could also be considered. Countries should also reduce the opportunities for tax evasion.

The second policy alternative is a universal basic income for all people. This could be achieved by various means, such as tax credits, child benefits and other cash benefits, or minimum wages plus benefits for the unemployed or non-employed.

The third is better access to health and education, both for their direct effect on reducing inequality and for improving productivity and hence people’s earning potential.

In all three cases, fiscal policy can help through a combination of taxes, benefits and public expenditure on social infrastructure and human capital.

But a major problem with using increased tax rates is international competition, especially with corporation tax rates. Countries are keen to attract international investment by having corporation tax rates lower than their rivals. But, of course, countries cannot all have a lower rate than each other. The attempt to do so simply leads to a general lowering of corporation tax rates (see chart in The Economist article) – to a race to the bottom. The Nash equilibrium rate of such a game is zero!


Raising Taxes on the Rich Won’t Necessarily Curb Growth, IMF Says Bloomberg, Ben Holland and Andrew Mayeda (11/10/17)
The Fiscal Monitor, Introduction IMF (October 2017)
Transcript of the Press Conference on the Release of the October 2017 Fiscal Monitor IMF (12/10/17)


Higher taxes can lower inequality without denting economic growth The Economist, Buttonwood (19/10/17)
Trump says the US has the highest corporate tax rate in the world. He’s wrong. Vox, Zeeshan Aleem (31/8/17)
Reducing inequality need not hurt growth Livemint, Ajit Ranade (18/10/17)
IMF: higher taxes for rich will cut inequality without hitting growth The Guardian, Larry Elliott and Heather Stewart (12/10/17)

IMF Fiscal Monitor

IMF Fiscal Monitor: Tackling Inequality – Landing Page IMF (October 2017)
Opening Remarks of Vitor Gaspar, Director of the Fiscal Affairs Department at a Press Conference Presenting the Fall 2017 Fiscal Monitor: Tackling Inequality IMF (11/10/17)
Fiscal Monitor, Tackling Inequality – Full Text IMF (October 2017)


  1. Referring to the October 2017 Fiscal Monitor, linked above, what arguments does the IMF use for suggesting that the optimal top rate of income tax is considerably higher than the current OECD average?
  2. What are the arguments for introducing a universal basic income? Should this depend on people’s circumstances, such as the number of their children, assets, such as savings or property, and housing costs?
  3. Find out the details of the UK government’s Universal Credit. Does this classify as a universal basic income?
  4. Why may governments reject the IMF’s policy recommendations to tackle inequality?
  5. In what sense can better access to health and education be seen as a means of reducing inequality? How is inequality being defined in this case?
  6. Find out what the UK Labour Party’s policy is on rates of income tax for top earners. Is this consistent with the IMF’s policy recommendations?
  7. What does the IMF report suggest about the shape of the Laffer curve?
  8. Explain what is meant by tax elasticity and how it relates to the Laffer curve?