Tag: Elon Musk

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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.

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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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Why are Tesla sales plummeting?

Tesla sales have fallen dramatically recently. In Europe they were down 47.7% in January 2025 compared with January 2024. In Spain the figure was 75.4%, in France 63.4%, in Germany 59.5%, in Sweden 44.3%, in Norway 37.9%, in the UK 18.2% and in Italy 13.4%. And it was not just Europe. In Australia the figure was 33.2%, in China 15.5% and in California 11.6%. Meanwhile, Tesla’s share price has fallen from a peak of $480 on 17 December 2024 to $338 on 21 February 2025, although that compares with $192 in February 2024.

So why have Tesla sales fallen? It’s not because of a rise in price (a movement up the demand curve); indeed, Tesla cut its prices in 2024. Part of the reason is on the supply side. In several countries, stocks of Teslas are low. Some consumers who would have bought have had to wait. However, the main reason is that the demand curve has shifted to the left. So why has this happened?

A reaction to Elon Musk?

One explanation is a growing unpopularity of Elon Musk among many potential purchasers of electric vehicles (EVs). People are more likely to buy an EV if they are environmentally concerned and thus more likely to be Green voters or on the political left and centre. Elon Musk, by supporting Donald Trump and now a major player in the Trump administration, is seen as having a very different perspective. Trump’s mantra of ‘drill, baby drill’ and his announced withdrawal from the Paris agreement and the interventions of Trump, Vance and Musk in European politics have alienated many potential purchasers of new Teslas. Elon Musk has been a vocal supporter of the right-wing Alternative for Germany (AfD) party, describing the party as the ‘last spark of hope for this country’ (see BBC article linked below).

There has been outspoken criticism of Musk in the media and the Financial Times reports existing owners of Teslas, who are keen to distance themselves from Musk, ordering stickers for their cars which read ‘I bought this before Elon went crazy’. In a survey by Electrifying.com, 59% of UK potential EV buyers stated that Musk’s reputation put them off buying a Tesla.

Other reasons for a leftward shift in the demand for Teslas

But is it just the ‘Musk factor’ that has caused a fall in demand? It is useful to look at the general determinants of demand and see how each might have affected the demand for Teslas.

The price, number, quality and availability of substitutes  Tesla faces competition, not only from long-established car companies, such as Ford, VW, Volvo/Polestar, Seat/Cupra and Toyota, moving into the EV market, but also from Chinese companies, such as BYD and NIO. These are competing in all segments of the EV market and competition is constantly increasing. Some of these companies are competing strongly with Tesla in terms of price; others in terms of quality, style and imaginative features. The sheer number of competitor models has grown rapidly. For some consumers, Teslas now seem dated compared with competitors.

The price and availability of complements.  The most relevant complement here is electrical charging points. As Teslas can be charged using both Tesla and non-Tesla charging points, there is no problem of compatibility. The main issue is the general one for all EVs and that is how to achieve range conveniently. The fewer the charging points and more widely disbursed they are, the more people will be put off buying an EV, especially if they are not able to have a charging point at home. Clearly, the greater the range of a model (i.e. the distance that can be travelled on a full battery), the less the problem. Teslas have a relatively high range compared with most (but not all) other makes and so this is unlikely to account for the recent fall in demand, especially relative to other makes.

Expectations.  The current best-selling Tesla EV is the Model Y. This model is being relaunched in a very different version, as are other Tesla models. Consumers may prefer to wait until the new models become available. In the meantime, demand would be expected to fall.

Conclusions

As we have seen, there have been a number of factors adversely affecting Tesla sales. Growing competition is a major factor. Nevertheless, the increasing gap politically between Elon Musk and many EV consumers is a major factor – a factor that is likely to grow in significance if Musk’s role in the Trump administration continues to be one of hostility towards the liberal establishment and in favour of the hard right.

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Questions

  1. Why have BYD EV sales risen so rapidly?
  2. If people feel strongly about a product on political or ethical grounds, how is that likely to affect their price elasticity of demand for the product?
  3. Find out how Tesla shareholders are reacting to Elon Musk’s behaviour.
  4. Find out how Tesla sales have changed among (a) Democratic voters and (b) Republican voters in the USA. How would you explain these trends?
  5. Identify some products that you would or would not buy on ethical grounds. How carefully have you researched these products?