Tag: measurement

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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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Do GDP figures capture the benefits of internet innovation?

GDP figures are often a poor measure of a country’s economic well-being. By focusing on production, they may not capture the contribution of a range of social and environmental factors to people’s living standards, including the various negative and positive externalities from production and consumption themselves. A case in point is internet innovation: an issue considered in the first linked article below by the eminent economist, Joseph Stiglitz.

The effects of innovations that directly lead to an increase in output are relatively easy to measure. Many innovations, however, may allow those with power to consolidate that power, resulting in less competition and a possible decline in welfare. If, for example, companies such as Amazon, invest in online retailing and gain a first-mover advantage, they may be able to use this power to drive out competitors. In other words, innovations may not simply lower the cost of production and hence prices: they may even lead to an increase in prices.

Then there are innovations, such as faster broadband, that result in higher quality. While higher quality in one sphere may lead to higher output elsewhere, in many cases it is just improving the experience of consumers without being reflected in a way that can be easily measured.

Some innovations may be judged as socially harmful. Thus improved gaming functionality and realism may encourage people to spend more time online. The social and health implications of this may be considered as undesirable and resulting in a reduction in well-being. Of course, many gamers would disagree!

The point is that technological innovations often result in a change in tastes. These changes in tastes may involve negative externalities, themselves very hard to quantify. Consequently, resulting changes to GDP may be a very poor indicator of changes in social well-being.

The articles below consider some of these issues. The Stiglitz article gives an example of innovation in financial services. Although highly profitable for many working in the sector – at least until the crash of 2008/9 – according to the author, these innovations led to both lower GDP growth and a net contribution to social welfare that was negative.

The benefits of internet innovation are hard to spot in GDP statistics The Guardian, Joseph Stiglitz (10/3/14)
Economist argues for happiness over GDP Yale Daily News, Joyce Guo (19/2/14)
‘GDP: A Brief But Affectionate History’ by Diane Coyle and ‘The Leading Indicators: A Short History of the Numbers That Rule Our World’ by Zachary Karabell Washington Post, Tyler Cowen (21/2/14)
Emerging Markets: Income Returns To Innovation (GDP Per Capita Vs. Innovation Index) Seeking Alphz, Jon Harrison (4/3/14)

Questions

  1. What does GDP measure?
  2. What factors affecting the welfare of society are not measured in GDP?
  3. What alternative indicators are there to GDP as a measure of living standards?
  4. How would you set about measuring the effects on living standards of a technological revolution, such as the ability to access 4G on the move on laptops and smartphones (e.g. on trains)?
  5. How should the net benefits of installing more ATMs (cash machines) be calculated?
  6. Revisit the blog Time to leave GDP behind? and answer question 8.
  7. Referring to the Jon Harrison article, how would you construct an innovation index? How is innovation related too GDP per capita?
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How the RPI might change…

Inflation is a key macroeconomic variable and governments typically aim for both low and stable rates of inflation. In the UK there are two main measures of the rate of inflation in the UK – the CPI and the RPI. Over the past few years there has been a growing gap between the two measures and this has led to consultations about how the RPI could be adapted to allow it to rise more slowly in the future. (Click here for a PowerPoint of the chart.)

The RPI and CPI measure inflation in different ways – they don’t measure the same basket of goods. The RPI measure includes the costs of housing, whereas the CPI does not include this. Furthermore, the RPI is an arithmetic mean and the CPI is a geometric mean, which will be lower than the arithmetic mean. The ONS says that a key advantage of using the geometric mean (i.e. the CPI) is that:

…it can better reflect changes in consumer spending patterns relative to changes in the price of goods and services.

Typically the RPI has been about 1% higher than the CPI and governments can benefit from this by linking state benefits to the CPI (the lower rate) and payments they receive to the RPI, thus maximising the difference between earnings and expenditure.

However, the gap between these two measures of inflation has been growing and this has been causing concern for the ONS and the Office for Budget Responsibility (OBR). This has led to the consultative process regarding making changes to the RPI. However, any change made to the RPI would put certain groups at a disadvantage. One such group is pensioners – many pensioners in the private sector have their pensions linked to the RPI and if a change were made to bring it more in line with the CPI (i.e. lower it) they would suffer. Ros Altman, director general of SAGA said:

After 30 years of retirement, someone who receives 0.6% lower inflation uprating will end up with a pension nearly 20% lower…Therefore, over time, pensioners will be able to afford less and less and pensioner poverty will increase once again.

There would be some beneficiaries of any change to the RPI – the government would benefit in some areas; company pension schemes might also see gains made; some students might benefit and even rail travellers.

An announcement was made by the National Statistician, Jil Matheson, on the 10 January. Much to the surprise of most experts, she has decided to keep the RPI measure unchanged. She did recommend, however, that a new index be introduced that would be published alongside RPI and CPI. The new index would better meet international standards.

The following articles look at the arguments for and against changing the RPI measure.

Articles prior to announcement
Pensioner backlash expected over pension reform The Telegraph, Philip Aldrick (9/1/13)
Inflation: Changes to the calculation of RPI expected BBC News (9/1/13)
RPI review ‘may hit pensioners’ Express and Star (9/1/13)
Q&A: Inflation changes BBC News (9/1/13)
Pension holders and savers: beware of an RPI inflation change The Economic Voice (9/1/13)
Pensioners and savers face ‘stealth attack’ on their income from change to the inflation index Mail Online (9/1/13)

Articles following announcement
Relief for pensions as ONS says leave RPI unchanged The Telegraph (10/1/13)
RPI review recommends new inflation index The Guardian (10/1/13)
Inflation: No change to RPI calculation BBC News, 10/1/13)
The ONS puts consistency first BBC News, Stephanie Flanders (10/1/13)
Q&A: Inflation changes BBC News (10/1/13)

Announcement by National Statistician
National Statistician announces outcome of consultation on RPI ONS (10/1/13)

Questions

  1. How are the RPI and CPI measured?
  2. Why is the RPI typically higher than the CPI?
  3. What changes to the RPI were suggested? What are the advantages and disadvantages of each?
  4. Who would have benefited from each of the proposed changes to the RPI?
  5. Who would have suffered from each of the proposed changes to the RPI?
  6. Why has there been a growing divergence between the two measures of inflation?
  7. Do interest rates affect the RPI and CPI measures of inflation to the same extent?
  8. Which measure of inflation is used for the Bank of England’s inflation target? Has it always been the measure used?