Category: Essential Economics for Business: Ch 07

The share prices of various AI-related companies have soared in this past year. Recently, however, they have fallen – in some cases dramatically. Is this a classic case of a bubble that is bursting, or at least deflating?

Take the case of NVIDIA, the world’s most valuable company, with a market capitalisation of around $4.2 trillion (at current share prices). It designs and produces graphics cards and is a major player in AI. From a low of $86.62 April this year, its share price rose to a peak of $212.19 on 29 October. But then began falling as talk grew of an AI bubble. Despite news on 19 November that its 2025 Q3 earnings were up 62% to $57.0bn, beating estimates by 4%, its share price, after a temporary rise, began falling again. By 21 November, it was trading at around $180.

Other AI-related stocks have seen much bigger rises and falls. One of the biggest requirements for an AI revolution is data processing, which uses huge amounts of electricity. Massive data centres are being set up around the world. Several AI-related companies have been building such data centres. Some were initially focused largely on ‘mining’ bitcoin and other cryptocurrencies (see the blog, Trump and the market for crypto). But many are now changing focus to providing processing power for AI.

Take the case of the Canadian company, Bitfarms Ltd. As it says on its site: ‘With access to multiple energy sources and strategic locations, our U.S. data centers support both mining and high-performance computing growth opportunities’. Bitfarms’ share price was around CAD1.78 in early August this year. By 15 October, it had reached CAD9.27 – a 421% increase. It then began falling and by 24 November was CAD3.42 – a decline of over 63%.

Data centres do have huge profit potential as the demand for AI increases. Many analysts are arguing that the current share price of data centres undervalues their potential. But current profits of such companies are still relatively low, or they are currently loss making. This then raises the question of how much the demand for shares, and hence their price, depends on current profits or future potential. And a lot here depends on sentiment.

If people are optimistic, they will buy and this will lead to speculation that drives up the share price. If sentiment then turns and people believe that the share price is overvalued, with future profits too uncertain or less than previously thought, or if they simply believe that the share price has overshot the value that reflects a realistic profit potential, they will sell and this will lead to speculation that drives down the share price

The dot.com bubble of the late 1990s/early 2000s is a case in point. There was a stock market bubble from roughly 1995 to 2001, where speculative investment in internet-based companies caused their stock values to surge, peaking in late 1999/early 2000. There was then a dramatic crash. But then years later, many of these companies’ share prices had risen well above their peak in 2000.

Take the case of Amazon. In June 1997, its share price was $0.08. By mid-December 1999, it had reached $5.65. It then fell, bottoming out at $0.30 in September 2001. The dot-com bubble had burst.

But the potential foreseen in many of these new internet companies was not wrong. After 2001, Amazon’s share price began rising once more. Today, Amazon’s shares are trading at over $200 – the precise value again being driven largely by the company’s performance and potential and by sentiment.

So is the boom in AI-related stock a bubble? Given that the demand for AI is likely to continue growing rapidly, it is likely that the share price of companies providing components and infrastructure for AI is likely to continue growing in the long term. But just how far their share prices will fall in the short term is hard to call. Sentiment is a fickle thing.

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Questions

  1. Using a supply and demand diagram, illustrate how speculation can drive up the share price of a company and then result in it falling.
  2. What is meant by overshooting in a market? What is the role of speculation in this process?
  3. Does a rapid rise in the price of an asset always indicate a bubble? Explain.
  4. What are the arguments for suggesting that markets are/are not experiencing an AI share price bubble? Does it depend of what part of the AI market is being considered?
  5. What is meant by the market capitalisation of a company? Is it a good basis for deciding whether or not a company’s share price is a true reflection of the company’s worth? What other information would you require?
  6. Find out what has been happening to the price of Bitcoin. What factors determine the price of Bitcoin? Do these factors make the price inherently unstable?

In a blog in October 2024, we looked at global uncertainty and how it can be captured in a World Uncertainty Index. The blog stated that ‘We continue to live through incredibly turbulent times. In the past decade or so we have experienced a global financial crisis, a global health emergency, seen the UK’s departure from the European Union, and witnessed increasing levels of geopolitical tension and conflict’.

Since then, Donald Trump has been elected for a second term and has introduced sweeping tariffs. What is more, the tariffs announced on so-called ‘Liberation Day‘ have not remained fixed, but have fluctuated with negotiations and threatened retaliation. The resulting uncertainty makes it very hard for businesses to plan and many have been unwilling to commit to investment decisions. The uncertainty has been compounded by geopolitical events, such as the continuing war in Ukraine, the war in Gaza and the June 13 Israeli attack on Iran.

The World Uncertainty Index (WUI) tracks uncertainty around the world by applying a form of text mining known as ‘term frequency’ to the country reports produced by the Economist Intelligence Unit (EIU). The words searched for are ‘uncertain’, ‘uncertainty’ and ‘uncertainties’ and the number of times they occur as percentage of the total words is recorded. To produce the WUI this figure is then multiplied by 1m. A higher WUI number indicates a greater level of uncertainty.

The monthly global average WUI is shown in Chart 1 (click here for a PowerPoint). It is based on 71 countries. Since 2008 the WUI has averaged a little over 23 000: i.e. 2.3 per cent of the text in EIU reports contains the word ‘uncertainty’ or a close variant. In May 2025, it was almost 79 000 – the highest since the index was first complied in 2008. The previous highest was in March 2020, at the start of the COVID-19 outbreak, when the index rose to just over 56 000.

The second chart shows the World Trade Uncertainty Index (WTUI), published on the same site as the WUI (click here for a PowerPoint). The method adopted in its construction therefore mirrors that for the WUI but counts the number of times in EIU country reports ‘uncertainty’ is mentioned within proximity to a word related to trade, such as ‘protectionism’, ‘NAFTA’, ‘tariff’, ‘trade’, ‘UNCTAD’ or ‘WTO.’

The chart shows that in May 2025, the WTUI had risen to just over 23 000 – the second highest since December 2019, when President Trump imposed a new round of tariffs on Chinese imports and announced that he would restore steel tariffs on Brazil and Argentina. Since 2008, the WTUI has averaged just 2228.

It remains to be seen whether more stability in trade relations and geopolitics will allow WUI and WUTI to decline once more, or whether greater instability will simply lead to greater uncertainty, with damaging consequences for investment and also for consumption and employment.

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Uncertainty Indices

Questions

  1. Explain what is meant by ‘text mining’. What are its strengths and weaknesses in assessing business, consumer and trade uncertainty?
  2. Explain how the UK Monthly EPU Index is derived.
  3. Why has uncertainty increased so dramatically since the start of 2025?
  4. Compare indices based on text mining with confidence indices.
  5. Plot consumer and business/industry confidence indicators for the past 24 months, using EC data. Do they correspond with the WUI?
  6. How may uncertainty affect consumers’ decisions?

Economic growth is closely linked to investment. In the short term, there is a demand-side effect: higher investment, by increasing aggregate demand, creates a multiplier effect. GDP rises and unemployment falls. Over the longer term, higher net investment causes a supply-side effect: industrial capacity and potential output rise. This will be from both the greater quantity of capital and, if new investment incorporates superior technology, from a greater productivity of capital.

One of the biggest determinants of investment is certainty about the future: certainty allows businesses to plan investment. Uncertainty, by contrast, is likely to dampen investment. Investment is for future output and if the future is unknown, why undertake costly investment? After all, the cost of investment is generally recouped over several months or year, not immediately. Uncertainty thus increases the risks of investment.

There is currently great uncertainty in the USA and its trading partners. The frequent changes in policy by President Trump are causing a fall in confidence and consequently a fall in investment. The past few weeks have seen large cuts in US government expenditure as his administration seeks to dismantle the current structure of government. The businesses supplying federal agencies thus face great uncertainty about future contracts. Laid-off workers will be forced to cut their spending, which will have knock-on effect on business, who will cut employment and investment as the multiplier and accelerator work through.

There are also worries that the economic chaos caused by President Trump’s frequent policy changes will cause inflation to rise. Higher inflation will prompt the Federal Reserve to raise interest rates. This, in turn, will increase the cost of borrowing for investment.

Tariff uncertainty

Perhaps the biggest uncertainty for business concerns the imposition of tariffs. Many US businesses rely on imports of raw materials, components, equipment, etc. Imposing tariffs on imports raises business costs. But this will vary from firm to firm, depending on the proportion of their inputs that are imported. And even when the inputs are from other US companies, those companies may rely on imports and thus be forced to raise prices to their customers. And if, in retaliation, other countries impose tariffs on US goods, this will affect US exporters and discourage them from investing.

For many multinational companies, whether based in the USA or elsewhere, supply chains involve many countries. New tariffs will force them to rethink which suppliers to use and where to locate production. The resulting uncertainty can cause them to delay or cancel investments.

Uncertainty has also been caused by the frequent changes in the planned level of tariffs. With the Trump administration using tariffs as a threat to get trading partners to change policy, the threatened tariff rates have varied depending on how trading partners have responded. There has also been uncertainty on just how the tariff policy will be implemented, making it more difficult for businesses to estimate the effect on them.

Then there are serious issues for the longer term. Other countries will be less willing to sign trade deals with the USA if they will not be honoured. Countries may increasingly look to diverting trade from the USA to other countries.

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Data

Questions

  1. Find out what tariffs have been proposed, imposed and changed since Donald Trump came to office on 20 January 2025.
  2. In what scenario might US investment be stimulated by Donald Trump’s policies?
  3. What countries’ economies have gained or are set to gain from Donald Trump’s policies?
  4. What is the USMCA agreement? Do Donald Trump’s policies break this agreement?
  5. Find out and explain what has happened to the US stock market since January 2025. How do share prices affect business investment?
  6. Which sector’s shares have risen and which have fallen?
  7. Using the Data link above, find out what has been happening to the US Policy Uncertainty Index since Donald Trump was elected and explain particular spikes in the index. Is this mirrored in the global Policy Uncertainty Index?
  8. Are changes in the Policy Uncertainty Index mirrored in the World Uncertainty Index (WUI) and the CBOE Volatility Index: VIX?

Africa’s energy transition is at a pivotal moment. While the continent boasts abundant renewable energy resources, its electricity generation and distribution remain fragmented. Cross-border electricity trade has emerged as a potential game-changer, fostering energy security, reducing costs, and accelerating the adoption of renewables. However, is Africa fully leveraging this opportunity?

In a forthcoming paper in the Energy & Environment journal, I join forces with my colleagues Mercy Adaji and Bereket Kebede to argue that the answer to this question is no. Our study examines the impact of cross-border electricity trade in renewable electricity generation across 21 African countries over a 24-year period (1996–2020). Our findings indicate that a 1% increase in electricity trade significantly raises the share of renewables in total electricity output by approximately 0.05%. This underscores the crucial role of regional integration in advancing Africa’s clean energy goals, aligning with previous studies (e.g., Boz et al., 2021; Song et al., 2022, linked below) that highlight how electricity market integration promotes renewable energy investments by stabilising supply and mitigating intermittency risks.

Despite these advantages, cross-border electricity trade remains significantly underutilised due to regulatory barriers, inadequate infrastructure, and governance challenges.

Net electricity-importing countries tend to benefit more from trade, while net-exporting nations, particularly those reliant on fossil fuels, exhibit weaker positive impacts. Without targeted policies (such as carbon pricing and green subsidies) trade disparities may persist, slowing the transition to clean energy.

Moreover, our results highlight the pivotal role of governance in fostering a robust electricity market. This is neither surprising nor new – quality of governance matters over the long term in all aspects of economic activity. Agostini et al. (2019), for instance, show that well-structured regulations and strategic investments in interconnections enhance the effectiveness of cross-border electricity trade. Transparent regulatory frameworks, expanded grid interconnections, and harmonised energy policies can significantly boost the impact of regional electricity trade.

By strengthening collaboration, African nations can mitigate energy poverty, enhance supply reliability, and accelerate the shift toward a greener future.

To capitalise fully on cross-border electricity trade, African policymakers must prioritise regional energy integration, invest in infrastructure and implement incentives to spur renewable energy expansion. With the right policies and co-operative strategies, Africa can harness its vast renewable potential and achieve a more sustainable, energy-secure future.

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Questions

  1. How does electricity trade help mitigate the intermittency challenges of renewable energy, and what mechanisms could further enhance its effectiveness?
  2. The study highlights governance quality as a crucial factor in the success of cross-border electricity trade. What governance-related challenges do African countries face in implementing a unified electricity market, and how can policymakers address them to maximize trade benefits?
  3. Our results show that net electricity-importing countries tend to gain more from trade than net-exporting ones, particularly those relying on fossil fuels. What policy measures can be introduced to ensure that net-exporting countries also benefit from electricity trade while advancing renewable energy integration?
  4. What are the most critical infrastructure and policy gaps that hinder the growth of cross-border electricity trade in Africa, and how can these be overcome to facilitate a more sustainable energy transition?