Africa’s Vast Solar and Mineral Resources at Risk of Being Left Untapped, IEA Warns
High costs have put off most investors from buying into the continent’s plentiful clean-energy reserves
3 min
Energy investment in Africa needs to more than double by the end of the decade if the continent is to meet its energy and climate goals. However, high costs are putting off much-needed investment in the region’s plentiful clean-energy resources and huge reserves of critical minerals, the International Energy Agency said.
“African countries have huge energy potential, including a spectacular range and quality of renewable-energy resources,” said Fatih Birol, executive director of the Paris-based agency in a report published jointly with the African Development Bank on Wednesday. “But these riches are largely untapped and they will remain so without greatly improved access to capital.”
Africa is home to more than half of the world’s best solar resources as well as possessing great potential for hydroelectric and wind-power projects, according to the IEA. It is also uniquely placed to contribute to industries behind the transition away from fossil fuels. It accounts for 80% of the world’s platinum reserves, half of all cobalt reserves, and 40% of manganese reserves, all of which are expected to be crucial to technologies such as autocatalysts and electric batteries, the agency said.
The report’s figures also pose a challenge for the West and the U.S. in particular, which is seeking to secure diverse sources of critical materials. In recent years, the West has lost clout in Africa as China has become the continent’s largest trading partner and fourth largest investor. Much of China’s investment in Africa goes toward energy projects and the nation’s lead in renewable technologies will likely see it grow as a funder of African renewable energy projects, the IEA said.
“Energy investment on our continent has fallen short,” wrote William Ruto, president of Kenya, in the report’s foreword. “It is imperative we take bold steps to more than double energy investment here in the next decade, with a primary focus on clean energy.”
From around $90 billion today, annual spending on Africa’s energy needs must more than double to $200 billion by 2030, two-thirds of which will need to go toward clean energy projects, the report said.
Despite the investment goal—which the IEA says will allow African nations to meet their agreed climate targets as laid out in the Paris Agreement and achieve universal access to modern energy systems—energy spending in Africa has been falling over the past five years as investment in fossil fuels has declined and spending on renewable energy projects has flatlined. The continent makes up just 3% of global energy spending.
The indebtedness of many African nations is holding back public spending on energy projects while private investors are reluctant to invest because of a prevalence of fragile states, absent regulations and perceptions of political or reputational risks.
All of these are pushing up the cost of capital which makes many African energy projects financially unviable despite ample local resources and proven technologies such as wind or solar power, the report said.
The cost of capital for a large-scale renewable energy project in Africa is up to three times higher than in advanced economies and China, the IEA said. For smaller projects, which will be crucial in rural areas, the costs are even higher.
Concessional financing—in which lenders such as international development banks offer developing nations more generous terms such as lower interest rates or longer repayment periods—will be crucial to overcoming those obstacles, the IEA said.
The IEA estimates that only half of electricity grid projects in Africa are commercially viable without such assistance, while most clean cooking projects would be unaffordable.
Despite accounting for 20% of the global population, investment in African energy projects is far too small, leaving much of the continent lacking basic access to electricity or clean cooking fuels, the IEA said.
Currently, 600 million people across Africa lack access to electricity and almost one billion have no access to clean cooking fuels.
$25 billion a year alone would be enough to provide basic access to electricity and clean cooking fuels to all Africans, equivalent to the cost of installing one LNG terminal, something European nations have done in record time following Russia’s invasion of Ukraine.
The report came as African leaders met in Nairobi for the third and final day of the Africa Climate Summit, which has seen calls for debt relief for African nations facing the effects of climate change and hundreds of millions of dollars pledged to Africa’s nascent carbon credits initiative.
African nations are seeking redress for the effects of climate change they experience despite contributing little to carbon emissions, the main driver of global warming. The continent accounts for around 2% to 3% of global carbon emissions but is particularly exposed to extreme weather.
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Technology and semiconductor shares fell sharply as investors questioned the debt financing the AI infrastructure boom and confronted higher rates and Chinese competition.
Technology and semiconductor shares fell sharply as investors questioned the debt financing the AI infrastructure boom and confronted higher rates and Chinese competition.
4 minA sharp technology sell-off has exposed a new anxiety on global markets: whether the enormous borrowing behind the artificial-intelligence infrastructure boom can generate sufficient returns as interest rates rise and Chinese competition intensifies.
The artificial-intelligence investment boom has powered technology shares, semiconductor manufacturers and data-centre operators to extraordinary heights. Last week, investors were given a reminder that much of this expansion is being built with borrowed money.
The technology-heavy Nasdaq Composite fell 4.5 per cent over the week ended October 16, its weakest performance since late June. Semiconductor shares suffered an even deeper correction, with the Philadelphia Semiconductor Index losing about 11.4 per cent.
The selling spread quickly through global markets. Micron Technology fell 14.6 per cent over the week, while South Korea’s Samsung Electronics and SK Hynix dropped approximately 18 per cent and 24 per cent respectively.
This was more than a routine bout of profit-taking. Investors were reassessing three interconnected risks: higher interest rates, the rapidly expanding debt burden attached to AI infrastructure and the prospect of stronger competition from Chinese memory-chip manufacturers.
The debt behind the AI build-out
Artificial intelligence requires a physical infrastructure network of enormous scale. Data centres must be built, advanced processors purchased, power supplies secured and cooling systems installed before customers begin generating meaningful revenue from them.
Technology companies are increasingly supplementing their own cash with corporate bonds, syndicated loans, equipment leases, private credit and project-level financing.
JPMorgan describes the emerging funding model as a combination of conventional corporate borrowing and project finance tied to individual data-centre assets. In Australia, the Reserve Bank estimates that syndicated loans accounted for approximately three-quarters of data-centre financing during 2025 and 2026 to date.
The numbers are becoming large enough to affect broader credit markets. The Federal Reserve Bank of Dallas has cited Wall Street estimates suggesting AI-related investment-grade bond issuance could approach US$300 billion in 2026 alone.
That borrowing is not automatically problematic. Debt can be an efficient way to finance long-lived infrastructure when future revenue is sufficiently predictable. The concern is that AI technology, customer demand and computing economics are changing much faster than the repayment schedules attached to the assets.
A data centre financed today may carry debt for years. Investors must therefore make assumptions about future utilisation rates, electricity prices, chip performance, customer concentration and the amount businesses will ultimately pay for AI computing.
When interest rates rise, those assumptions become less forgiving.
Inflation changes the calculation
September’s US inflation data intensified the pressure. Consumer prices increased 3.7 per cent over the year, ahead of market expectations and up from 3.4 per cent in August.
The hotter reading reduced confidence that interest rates would fall quickly and pushed bond yields higher. That matters particularly for companies whose valuations depend on profits expected well into the future, as well as highly leveraged infrastructure operators that may need to refinance.
CoreWeave has emerged as a closely watched test case. The specialist cloud-computing company has accumulated substantial debt and lease obligations to build AI capacity, while relying on a concentrated group of large technology customers.
Its shares fell sharply during the sell-off, while the cost of insuring its debt against default climbed. CoreWeave has argued that its contracted backlog more than covers its obligations and that financial markets do not always understand its business model. Nevertheless, its securities have become a proxy for investor confidence in debt-funded AI infrastructure.
Oracle, another major investor in AI computing capacity, fell 8.8 per cent in Friday trading, while CoreWeave dropped 15.5 per cent.
The question is shifting from how much AI infrastructure can be built to how profitably it can be operated.
China adds another source of pressure
Interest rates were not the only catalyst. Reports of advances by Chinese memory-chip producer ChangXin Memory Technologies raised concerns that lower-cost Chinese products could increase competition across the global semiconductor industry.
Memory chips are essential to AI systems, but the industry is historically cyclical. Periods of tight supply and high pricing can encourage rapid investment, eventually producing oversupply and falling margins.
The prospect of a well-funded Chinese competitor expanding its technological capabilities unsettled investors in Samsung, SK Hynix and Micron. It also demonstrated that AI-related demand does not insulate chipmakers from conventional competitive pressures.
That combination—slower rate cuts, more expensive financing and potentially cheaper supply—challenged the assumption that every company exposed to AI would enjoy continually expanding margins.
A reset rather than the end of the boom
The sell-off does not establish that the AI boom is ending. Demand for computing power remains strong, the largest technology companies continue to generate formidable cash flows and many infrastructure projects are backed by long-term customer contracts.
What has changed is the market’s willingness to overlook the price and financing structure of that growth.
The most resilient companies are likely to be those able to fund investment from operating cash flow, secure long-duration customers and demonstrate that new capacity will earn returns comfortably above its financing costs.
More speculative operators may face greater scrutiny, particularly where debt is expensive, customers are concentrated or expected revenue depends on demand that has not yet materialised.
For Australian investors, the lesson extends beyond US technology shares. Local data-centre operators, infrastructure funds, electricity suppliers and property groups are increasingly exposed to the same investment cycle.
Artificial intelligence may remain one of the defining growth themes of the decade. But last week’s correction showed that enthusiasm for the technology does not eliminate financial discipline.
The next stage of the AI boom will be judged not only by computing power, model performance or demand for chips, but by something more traditional: whether the assets being financed can generate enough cash to repay the money borrowed to build them.
Fact box
Nasdaq Composite: Down 4.5 per cent for the week ended October 16, 2026
Philadelphia Semiconductor Index: Down approximately 11.4 per cent
Micron Technology: Down approximately 14.6 per cent
Samsung Electronics: Down approximately 18 per cent
SK Hynix: Down approximately 24 per cent
US September inflation: 3.7 per cent annually
Estimated 2026 AI-related investment-grade issuance: Approximately US$300 billion
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