China spent £194.97 billion rescuing 'Belt and Road Initiative' nations, says study
Argentina was the largest beneficiary, receiving £90.80bn, equivalent to $111.8bn, followed by Pakistan with £39.39 ($48.5bn) and Egypt with £12.67 ($15.6bn)
A recent study published on Tuesday (28) revealed that China has allocated approximately £194.97 billion equivalent to about $240 billion in financial assistance to 22 developing nations from 2008 to 2021.
The amount has notably increased in recent years due to more countries experiencing difficulties in repaying loans related to the construction of "Belt and Road Initiative" (BRI) infrastructure.
Researchers from prominent institutions such as the World Bank, Harvard Kennedy School, AidData, and the Kiel Institute for the World Economy found that nearly 80 per cent of the lending occurred between 2016 and 2021, with the primary beneficiaries being middle-income countries such as Mongolia, Pakistan, and Argentina.
China has provided loans amounting to hundreds of billions of dollars for infrastructure development in developing countries. However, lending activity has declined since 2016 due to several projects failing to generate the anticipated financial returns.
"Beijing is ultimately trying to rescue its own banks. That's why it has gotten into the risky business of international bailout lending," said Carmen Reinhart, a former World Bank chief economist and one of the study's authors.
BRI nations have faced financial strain due to high inflation and interest rates, compounded by the pandemic, making it hard to repay debts.
Countries have received bailouts to extend loans and remain solvent. China claims over 150 countries have joined the trillion-dollar BRI infrastructure initiative launched by President Xi Jinping ten years ago.
According to Beijing, the objective of the initiative is to strengthen friendly trade ties with other countries, especially those in the developing world.
However, critics have alleged that China entices lower-income nations into debt traps by providing massive, unsustainable loans.
Although smaller than the International Monetary Fund and the significant liquidity support provided by the US Federal Reserve, China's bailouts have rapidly increased, as indicated in the AidData report.
Argentina was the largest beneficiary, receiving £90.80bn, equivalent to $111.8bn, followed by Pakistan with £39.39 or $48.5bn and Egypt with £12.67 equalling $15.6bn. Nine nations received less than $1bn or £0.81bn.
The People's Bank of China's (PBOC) swap lines accounted for £138.10bn or $170bn of the financing, including in Suriname, Sri Lanka, and Egypt.
The authors of the report stated that "Beijing has targeted a limited set of potential recipients, as almost all Chinese rescue loans have gone to low- and middle-income BRI countries with significant debts outstanding to Chinese banks,".
The study cautioned that Chinese loans tend to be less transparent than other last-resort international lenders and often carry an average interest rate of 5 per cent, compared to the typical 2 per cent rate on an IMF loan.
The majority of such loans were "rollovers," with short-term loans being repeatedly extended to refinance upcoming debt obligations.
According to the report, Chinese state-owned banks and companies provided £56.86bn or $70bn in bridge loans or balance of payments support, while rollovers of both types of loans amounted to £113.72bn or $140bn.
China's government responded to the criticism, stating that its overseas investments were based on "openness and transparency" principles.
The foreign ministry spokesperson denied that China had compelled countries to borrow or repay loans and claimed that loan agreements were not linked to political self-interest.
However, China has been criticised for delaying debt restructurings with countries like Zambia, Ghana, and Sri Lanka.
Entry-level roles decline as firms automate back-office and administrative task
Women overrepresented in high-risk jobs, including part-time and support positions.
Up to 8 million UK jobs could vanish without stronger workforce training and policy safeguard.
British businesses are investing heavily in artificial intelligence to drive efficiency, but new research warns that young workers and women are disproportionately affected as entry-level positions face significant disruption. Women are more likely to hold back-office, entry-level, and part-time jobs at highest risk of automation, while young people face reduced hiring opportunities as firms introduce AI technologies instead of recruiting for entry-level positions.
A study by BSI, covering 850 business leaders across eight countries and 123 companies, highlights that while AI offers productivity gains, it often overshadows workforce development. Separate research estimates up to 8 million UK jobs could be at risk without proper intervention.
AI erodes entry-level career pathways
The BSI report finds that 62 per cent of leaders expect AI investment to rise over the next year. Yet only 43 per cent foresee reducing junior roles, and 56 per cent believe entry-level workers may start careers using AI-assisted research rather than traditional skill-building. Researchers warn of a “Generation Jaded,” where foundational skills gained through conventional work experience are diminished. Administrative, secretarial, and customer service roles—historically key entry points for migrants—face particular vulnerability.
Entry-level, part-time, and back-office roles are most exposed to AI disruption. A report from the Migration Observatory showed that women and young workers are disproportionately affected, while migrants may find their access to the UK labour market narrowed as AI automates routine tasks like scheduling, database management, and inventory control. Analysis of 22,000 UK tasks shows 11 per cent are exposed to current AI, potentially rising to 59 per cent with deeper adoption.
Firms must invest in people, not just tech
BSI warns that younger workers using AI from the outset may lack essential skills. Only 56 per cent of businesses provide structured AI learning, leaving an “uneven AI training landscape.” Internationally, 59 per cent of firms cite productivity as AI’s primary goal, but gaps remain between aspiration and implementation, especially for SMEs.
Kate Field, Global Head Human and Social Sustainability at BSI, and Laura Bishop, Digital Sector Lead for Artificial Intelligence and Cybersecurity, said there are “key steps businesses can take to ensure technology and people evolve together and create an environment in which everyone (including the AI tools that help them) thrives.”
BSI urges a “human-in-the-loop” strategy, where AI handles routine tasks but human workers add strategic value. Investment in training and workforce development is essential to prevent inequality and preserve career ladders. As one leader notes: “Businesses investing in AI today must simultaneously invest in their people to ensure productivity gains do not come at the cost of social mobility.”
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