Tag: risk attitudes

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AI: benefits but catastrophic risk



Artificial intelligence (AI) has become a key technology in the 21st Century. Businesses use AI systems to analyse data, automate routine tasks, improve customer service, write software, create content and even assist with decision-making. As AI improves and becomes even more capable, governments, economists, businesses and society are debating its effects on productivity, employment and economic growth – and also its potentially extreme dangers.

Some commentators compare AI to earlier technological revolutions such as the steam engine, electricity and the Internet. They argue that AI will continue to increase productivity, create new industries and improve living standards. Others worry that AI may eliminate a large numbers of jobs, increase inequality, concentrate economic power in a few firms and, in the most extreme scenarios, pose a threat to humanity itself.

These debates raise important questions including how society should evaluate the potential risks of a technology whose benefits may be enormous but whose long-term consequences remain uncertain.

AI and the labour market

Historically, technological change has had both positive and negative effects on employment. Automation reduced the demand for many agricultural workers, while creating jobs in manufacturing. Computers automated clerical tasks but generated entirely new industries in software, telecommunications and digital services.

AI appears likely to follow a similar pattern. According to the World Economic Forum, advances in AI, robotics and information-processing technologies are expected to transform labour markets significantly during the second half of the 2020s, creating demand for new skills while reducing demand for others. The fastest-growing skills are expected to include AI and big data, technological literacy and cybersecurity.

The potential benefits

AI may benefit labour markets in several ways:

  • Higher productivity: Workers can complete tasks more quickly with AI assistance.
  • New occupations: Demand has emerged for AI engineers, prompt specialists, data scientists and AI governance professionals.
  • Better decision-making: Firms can use AI to improve forecasting, inventory management and customer service.
  • Complementing human skills: AI may perform repetitive tasks, allowing employees to focus on creativity, problem-solving and interpersonal activities.
  • Economic growth: Higher productivity can increase profits, wages and living standards over time.

Many economists argue that AI will not simply replace workers but will change the tasks they perform. Research from the OECD suggests that even highly AI-exposed occupations continue to require management, communication, collaboration and social skills that technologies struggle to replicate.

The potential costs

At the same time, AI may create significant labour-market challenges. Many white-collar occupations previously considered relatively safe from automation are becoming vulnerable. Generative AI systems can draft reports, analyse legal documents, write computer code and create marketing content. This means that some professional and administrative roles may face considerable disruption.

The World Economic Forum reports that business leaders have differing expectations about the effects of AI. In a 2026 survey (see link below), around 54 per cent expected AI to displace existing jobs, while only 24 per cent expected it to create new jobs within their organisations. Economists have identified several potential problems:

  • Structural unemployment: workers in industries that are in decline may struggle to find employment requiring their existing skills.
  • Increased income inequality: there may be a growing income disparity between highly skilled and less-skilled workers.
  • Growing market power: the largest technology firms that own the most advanced AI systems may see their market power grow further creating dominance in certain areas.
  • Regional inequalities: AI-related investment may become concentrated in particular cities and countries, exacerbating regional inequalities within and between countries.
  • Pressure on governments: to address issues of structural unemployment and increasing inequality, governments may be forced to expand retraining and social-support programmes.

AI and catastrophic risk

Most economic discussion around AI focuses on employment and productivity. However, some researchers argue that the most significant risks from AI may be much broader.

Economists distinguish between ordinary risks and catastrophic risks. Catastrophic risks involve events with a very low probability of occurring but potentially enormous consequences. Examples include nuclear accidents, pandemics and certain climate-related disasters.

AI raises similar concerns. Advanced AI systems could potentially be used to conduct cyberattacks, spread misinformation, disrupt critical infrastructure or support the development of dangerous technologies. Some researchers have even suggested that highly advanced AI systems could pose an existential risk to humanity if they become sufficiently powerful and are not properly controlled.

This became a widely discussed topic in the media in September 2026 following the resignation of an employee, Jacob Coxon, from AI firm, Anthropic. He said that people working on AI were ‘genuinely frightened’ about how quickly AI was advancing and what it might mean for the future of humanity. He said:

I believe that if we don’t slow down at the current rate of progress, there is a strong chance that we could all die in the immediate future.

Other researchers have raised similar concerns and there have since been calls from some of the biggest AI companies for regulation of AI to prevent this.

The policy debate and CBA

All of this creates a challenge for cost-benefit analysis. Suppose AI generates trillions of pounds of economic benefits. But, if there is also a very small probability of catastrophic harm, how should policymakers weigh up the two?

Traditional cost-benefit analysis values risk by multiplying the size of a potential outcome by its probability. However, this approach becomes problematic when both the probability and the consequences are highly uncertain. The risks may be extremely difficult to estimate, while the potential costs could be vast and affect future generations. For this reason, governments and firms increasingly use scenario analysis, stress testing and AI safety assessments to evaluate potential risks. These approaches attempt to prepare for extreme outcomes rather than relying solely on probability calculations.

Supporters of AI argue that technological progress has historically improved living standards and that restricting AI too heavily could reduce innovation and economic growth. Critics argue that uncertainty about potentially catastrophic outcomes justifies a more cautious approach.

The debate therefore extends beyond labour economics to the wider issue of managing catastrophic risk. As with nuclear power or climate change, policymakers must decide how much risk society is willing to accept in exchange for potentially large economic benefits.

Articles

Reports

Questions

  1. How might AI increase productivity while also causing unemployment in some sectors? Which sectors are likely to be affected the most?
  2. Why is it difficult to estimate the costs and benefits of advanced AI?
  3. Assume that a disaster is estimated to cost society £1000 billion (£1 000 000 000 000). The chances of the disaster occurring are said to be minute, however. Estimates vary from a probability of one in a million to one in a billion. What estimate of this cost would you include in a cost–benefit analysis?
  4. Why are many low-income countries apparently prepared to accept riskier projects than are high-income ones?
  5. Discuss whether the greatest economic challenge posed by AI is (a) job displacement; (b) increased inequality; (c) market concentration and the power of large technology firms; or (d) catastrophic long-term risks.
  6. Read the article by Bill Gates, The turbulent AI era is here. The choices we make now are critical. According to him, what steps should the world take to ensure that ‘AI will be a force for good and leave everyone better off’?
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Economic games in the Iran war

Economists use game theory to understand decision making where the outcome for an economic actor – individual, firm, government, etc. – depends on the actions and reactions of other actors. It models how rational actors make optimal decisions based on their expectations about such actions and reactions of competitors. Sometimes these expectations will be based on considerable knowledge; sometimes they will be based on hunch or the degree of optimism or pessimism.

Perhaps the most famous game is the prisoners’ dilemma. This is where two or more firms (or people) independently attempt to choose the best strategy, thinking about how their rivals are likely to react. But they end up in a worse position than if they had co-operated in the first place. For example, if a firm is considering cutting price, it would gain market share if the other firm does not cut price; in such a scenario it is likely to gain by cutting price. If, however, the other firm is expected to cut its price, the first firm will have to cut price itself to avoid losing market share; in this scenario it will also cut price. Assuming the other firm reasons the same, the outcome is likely to be a price war, with both firms losing profit. However, if they both colluded to maintain prices or even raise them (assuming they can evade any legal restrictions on collusion), they will both gain.

Another example is the game of chicken. This is where two or more actors engage in brinkmanship, hoping that the other actor(s) will give in first. Take the above example of a price war. Assume that two firms are engaging in price cutting. They know that this will damage their short-term profit. But each hopes that the other will give up first and may then be willing to collude or, better still, be driven out of business. If either firm thinks it can win the game, it will reason that short-term pain is justified by long-term gain.

The war in Iran

A game of chicken is currently being ‘played’ by the USA and Iran. Iran is blocking the Strait of Hormuz; the USA is blockading Iranian ports, preventing ships from arriving or leaving. Both policies inflict economic pain. Blocking the Strait of Hormuz has driven up oil and gas prices and the prices of many other products exported through the Strait – products such as fertilisers, plastics, petrochemicals, sulphur, methanol and helium.

Each side hopes that the economic pain inflicted on the other will cause it to give up first.

But the game is ‘asymmetric’: the costs of continuing the blockades are different for each side and thus the pressures on each side to concede differ. For Iran, the blockade of its ports is massively curtailing its exports and is doing huge damage to its economy, already battered by bombing. But the war has so far seemed to allow the Iranian authorities to tighten their political grip and they may be prepared to play the ‘long game’ by rallying the Iranian population against the US and Israeli assault. The authorities may calculate that the Iranian people will be prepared to endure greater hardship for some time.

The USA is facing a much lower economic cost. Much of the hardship from the effective closure of the Strait of Hormuz is being borne by other countries. Energy and fertiliser shortages and the resulting rise in price of these critical inputs threaten a humanitarian disaster in some of the poorest countries. Harvests will be down, as will GDP; food prices will soar. There will be widespread economic hardship across Africa and much of Asia, particularly in those countries struggling with existing high debt burdens.

But for Donald Trump and his administration, those costs are likely to be seen as important only in so far as they affect the USA. However, oil prices are determined in international markets and, despite the US economy gaining from higher oil prices as the USA is a net exporter, the price of fuel to the US consumer has risen substantially. Petrol prices in the USA have risen some 45% since the start of the war and jet fuel prices have doubled, driving up air fares. With the prices of other key products, such as medicines, clothing and electronics increasing too, US inflation is now rising – aggravated by the effects of the tariffs on many products. These costs matter to the US consumer and, with mid-term elections approaching and with Donald Trump’s approval rate plummeting, the USA is likely to be more sensitive to short-term economic costs than Iran.

But the USA poses a much greater military threat to Iran than vice versa and this is seen in the USA as a major advantage in this high-stakes game of chicken. But the Iranian authorities’ willingness to endure further military strikes for what they see as long-term gain, may make them unlikely to concede first.

Podcast and video

Articles

Questions

  1. Explain the prisoners’ dilemma game and explain what is meant by the Nash equilibrium in the game.
  2. What is the Nash equilibrium of a game of chicken?
  3. Explain the asymmetries in the ‘game’ being ‘played’ by the USA, Israel and Iran?
  4. What other actors are there in the ‘game’ and do they play any significant role?
  5. How important is information and understanding held by the USA, Israeli and Iran about the likely consequences of their actions?
  6. What can mediators, such as Pakistan, do to de-escalate the situation?
  7. What are the likely long-term costs to the global economy if the blocking of the Strait of Hormuz persists for a number of months?
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The economics of love, marriage and dirty dishes

Economics is about choice – and choices occur in all parts of our lives. One area is personal relationships. Are we making the best of our relationships with family, friends and sexual partners? Increasingly economists are examining human behaviour in such contexts and asking what factors determine our decisions and whether such decisions are rational.

A recent book looks at the economics of marriage and goes under the title of ‘Spousonomics‘. Its authors, Paula Szuchman and Jenny Anderson, use economics “to master love, marriage and dirty dishes”. As they say:

Every marriage is its own little economy, a business of two with a finite number of resources that need to be allocated efficiently.

They look at ways in which such resources can be allocated efficiently. They also look at apparently irrational behaviour and seek to explain it in terms of various ‘failures’ (akin to market failures). They also examine how these failures can be rectified to improve relationships.

So is this economics stepping on the toes of relationship counsellors and psychologists? Or is this the legitimate domain of economists seeking to understand how to optimise in the context of scarce resources – including time and patience?

Spousonomics gets to heart of the matter Belfast Telegraph (19/1/11)
Run your marriage with ‘Spousonomics’: A new book says applying economic rules with transform your relationship Mail Online, Lydia Slater (31/1/11)
Spousonomics: How Economics Can Help Figure Out Your Marriage Book Beast (31/1/11)
Spousonomics Lesson #1: Loss Aversion YouTube (15/1/11)
Economist’s Explanation For Why Getting Married Isn’t Rational Huffington Post, Dan Ariely (15/1/11)
How Economics Saved My Marriage Newsweek, Paula Szuchman (30/1/11)
Want your marriage to profit? New York Post, Sara Stewart (29/1/11)

Spousonomics: blog, Paula Szuchman and Jenny Anderson

Questions

  1. How would you define ‘rational behaviour’ in a personal relationship?
  2. Why may marriage be a better deal generally for men than for women?
  3. Give some examples of asymmetry of information in marriage and why this may lead to bad decision making?
  4. Give some examples of risk averse and risk loving behaviour in personal relationships?
  5. Why are many actions in marriage apparently irrational? Could such actions be explained if the concept of ‘irrationality’ is redefined?
  6. Why may a simple demand curve help to explain why sexual relationships tend to wane in many marriages?
  7. Why does moral hazard occur in marriage? Does a combination or moral hazard and asymmetry of information help to explain divorce?
  8. Should marriage guidance counsellors study economics?!
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Getting burnt by VAT

Skin cancer is on the increase in the UK. Calls are thus being made by both retailers and cancer charities for a cut in VAT on sun cream.

At present the VAT rate on sun cream in the UK is the standard rate of 17.5%, which is due to increase to 20% in January 2011. But would cutting the rate to 5%, as is being proposed, be effective in cutting skin cancer rates? What information would you, as an economist, need to assess this claim?

Articles
Government urged to cut VAT on sun cream amid skin cancer fears Guardian, Rebecca Smithers (27/7/10)
Brits Get Burned By Vat Rise On Suncream PRLog (7/7/10)
Why we still think bronzing is tan-tastic Irish Independent, Susan Daly (27/7/10)

Evidence on sun creams
Sunscreen Wikipedia
Sun creams Cancer Research UK

Questions

  1. What would determine the incidence of a cut in VAT on sun creams between consumers and retailiers?
  2. If there were a 50:50 incidence of a VAT cut between consumers and retailers and the VAT was cut from 17.5% to 5%, what percentage fall in the retail price would you expect?
  3. Assume that the price elasticity of demand for sun cream is –1 and price elasticity of supply is +1, how much would sales of sun cream rise if the VAT rate fell from 17.5% to 5%? Are these realistic values for the price elasticity of demand and supply?
  4. Under what circumstances may promoting the use of sun creams encourage the development of skin cancer?
  5. Are people being rational if they choose to expose themselves to the sun for long periods in order to receive a ‘fashionable’ tan? How are time preference rates (personal discount rates) relevant here?
  6. What market failures are involved in the tanning industry? If the use of sunbeds contributes towards skin cancer, should they be banned?
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Staycation, staycation, staycation

This podcast is from BBC Radio 4’s Today Programme. It consists of an interview with James Berresford, chief executive of VisitEngland, and Tracy Corrigan, of the Daily Telegraph on the topic of ‘staycations’ – a term used to refer to people holidaying at home rather than going abroad. Staycations are up, but why is this the case; how much have people switched; and is it really a cheaper option?

More people holidaying in England BBC Today Programme (27/8/09)

See also the following articles:
Unemployment Up In Seaside Resorts Despite Era Of The ‘Staycation’ Fresh Business Thinking (22/8/09)
Unemployment up in seaside resorts despite era of the ‘staycation’ TUC (21/8/09)
Haven Holidays sees rise in caravan sales Times Online (26/8/09)
‘Staycation’ Britons reconsider their holiday plans The National (Abu Dhabi) (28/8/09)
Recession-hit Britons abandon foreign holidays in favour of ‘staycations’ Guardian (13/8/09)
Bad weather puts paid to the Great British Staycation Independent on Sunday (22/8/09)

The following are useful sources of evidence:
Visits to the UK up 4 per cent Office for National Statistics News Release (13/8/09)
1.2 Million More Holidays Taken In England As Brits Take Breaks Closer To Home enjoyEngland (7/8/09)
11.9 million Brits to take U.K break this Bank Holiday enjoyEngland (26/8/09)

Questions

  1. What are the determinants of demand for staycations? How have these impacted on the demand for staycations in the UK in summer 2009?
  2. How are the (a) price; (b) income and (c) cross-price elasticities of demand for staycations relevant in determining the demand for staycations?
  3. Why is imperfect information an important problem in making a decision about where to take a holiday and how do risk attitudes affect the decision?
  4. Why has unemployment risen more than the UK national average in many seaside towns?