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The fall of Evergrande: What a USD 300 billion collapse should teach Ethiopia’s companies

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On 20 August 2026, a court in Shenzhen sentenced Hui Ka Yan, the founder of China Evergrande Group, to life in prison for financial crimes. The following day, a court in Guangzhou accepted a bankruptcy petition against Hengda Real Estate, the company’s principal mainland unit. Dozens of executives, including the founder’s sons, received prison terms of their own.

With that, the largest corporate collapse in Chinese history reached its final chapter. It began with a missed bond coupon in 2021. It ends with the founder in prison, the company delisted, its auditor fined on two continents, and creditors expecting to recover a few cents on the dollar from more than USD 300 billion in liabilities.

Ethiopia is two thousand miles and several decades of market development away from Shenzhen. But we are also at the precise moment when the Evergrande story is most useful to us: the moment before it can happen here.

The empire

Evergrande was founded in 1996 in Guangzhou by Hui Ka Yan, a former steel technician who had grown up in rural poverty. He built the company on a formula that was simple, aggressive, and for two decades unbeatable: borrow heavily, buy land quickly, pre-sell apartments before construction began, use the deposits and fresh loans to buy more land, and repeat.

The formula worked because China was urbanising at a pace the world had never seen. Demand for housing seemed limitless. Land prices rose every year. Banks lent freely. Homebuyers paid in full for apartments that existed only as drawings, trusting that a company this large would deliver.

By 2017, Evergrande was the most valuable real estate company on earth. Hui was China’s richest man. The group had projects in more than 280 cities, a football club that won the Chinese league, an electric vehicle venture valued for a time at more than Ford, a bottled-water brand, a theme park business, an insurance company, and a healthcare arm.

None of this was funded by profit. It was funded by debt, layered upon debt, secured against assets whose value depended on the debt continuing to flow.

The music stops

In August 2020, Chinese regulators introduced what became known as the “three red lines”: limits on developer leverage measured by debt-to-assets, debt-to-equity, and cash-to-short-term-debt. Evergrande breached all three. Its access to new borrowing was cut off.

A company that lives on refinancing dies when refinancing stops. Through 2021, Evergrande sold assets, delayed payments to contractors, and offered homebuyers discounts for cash. It was not enough. In December 2021, the company missed payments on its offshore bonds and was declared in default.

What followed was slow and painful. Construction halted on roughly 1.5 million pre-sold apartments. Suppliers and subcontractors went unpaid. Homebuyers who had handed over their life savings staged protests and, in some cities, stopped paying mortgages on homes that would never be finished.

In January 2024, a Hong Kong court ordered the liquidation of the listed holding company. In August 2025, the shares were delisted. Last week, the mainland operating company followed.

The fraud

The debt alone would have been enough to bring Evergrande down. But the debt was not the whole story.

Investigations by China’s securities regulator and Hong Kong authorities found that Evergrande had overstated its revenue by roughly USD 80 billion across 2019 and 2020, recognizing sales on apartments that had not been delivered, inflating profits, and using the fictitious numbers to issue bonds. The founder was accused of directing the scheme personally.

The company’s auditor did not escape. Chinese authorities fined PwC around USD 62 million in 2024 and suspended its mainland operations for six months. Hong Kong regulators followed with a further USD 166 million in fines and compensation this year. The liquidators are suing the firm for USD 8.4 billion, arguing that a competent audit would have exposed the problem years earlier.

A Big Four signature on the accounts was, in the end, worth nothing to the people who relied on it.

Why this matters in Addis Ababa

It is tempting to read Evergrande as a Chinese story about Chinese excess. That would be a mistake. The mechanics that destroyed it are present in Ethiopia today, in miniature.

Consider what our economy looks like from a balance-sheet perspective. Much of our private-sector growth over the past fifteen years has been financed by bank credit rather than retained earnings. Our real estate sector runs largely on a pre-sale model: developers collect substantial advances from buyers and use that money to fund construction and, often, the next project. Many of our largest private groups are built around a single founder whose personal judgement substitutes for board oversight. And our audit profession, though continuously improving thanks to the quality control efforts of the Accounting and Auditing Board of Ethiopia, is still young in its ability to say no to a large client.

Now add the new ingredient. The Ethiopian Securities Exchange is open. The Ethiopian Capital Market Authority is licensing advisors, brokers, and issuers. Companies are preparing to raise money from the public for the first time in our modern history. The thing that made Evergrande’s collapse a national catastrophe rather than a private bankruptcy, that ordinary people had trusted it with their savings, is exactly what we are now building the infrastructure to enable.

Evergrande did not fail in a frontier market with weak institutions. It failed in a market with a powerful regulator, global auditors, international bondholders, and a listing on one of the world’s most sophisticated exchanges. If it can happen there, the question is not whether it can happen here. The question is what we intend to do differently.

Five lessons

Debt is not growth. Evergrande’s revenue, its headcount, its land bank, and its founder’s fortune all grew every year. None of it was growth in the sense that matters: the business never generated enough cash to sustain itself. It borrowed to survive and called the borrowing expansion. Every Ethiopian company should ask a simple question: if no new credit were available for twelve months, would we still be standing? If the answer is no, the company is not growing. It is running.

A monument is not an institution. Evergrande had a board, an audit committee, independent directors, and every governance structure the Hong Kong listing rules required. All of it existed on paper. In practice, one man decided everything, and no one in the building could tell him no. Ethiopian founders are proud of what they have built, and rightly so. But a company that cannot survive its founder’s mistakes, or its founder’s absence, is a monument. The purpose of governance is to install someone whose job is to say no before the regulator or the court does.

Financial statements are a promise to strangers. When a company is privately held, its accounts are its own affair. The moment it takes money from the public, they become something else: a promise to people the company will never meet, who have no way to verify what they are told. Evergrande broke that promise by USD 80 billion, and the founder’s life sentence is what a serious market charges for it. Ethiopian companies preparing for ESX should understand that the reporting standards ECMA is imposing are not paperwork. They are the price of admission.

The auditor is not a shield. Companies sometimes treat the audit as insurance: hire a respectable firm, obtain a clean opinion, and the numbers are protected. Evergrande shows the opposite. A clean opinion on false accounts protected neither the company nor the auditor. It simply meant that when the truth emerged, two institutions were destroyed instead of one. For Ethiopia’s audit firms, the lesson is uncomfortable but necessary: our value lies entirely in our willingness to disagree with the client. For Ethiopian companies, the lesson is that a strong auditor is an asset to be sought, not an obstacle to be managed.

Size is not safety. For years, analysts assumed Evergrande was too big to fail, that the government would never allow a company employing hundreds of thousands and housing millions to collapse. The government allowed it. What size actually determines is not whether a company can fail but how many people it takes down when it does. The people who paid most for Evergrande’s failure were not its bondholders in London and New York. They were subcontractors in Guangdong, small suppliers, and families who had paid for apartments that will never be built.

The advantage we have

There is one thing Ethiopia has that Evergrande’s investors, its auditors, and its regulators did not: the chance to study the case before living it.

We are building a capital market at a moment when the world’s most instructive corporate failure has just concluded. Every principle our regulators are asking companies to adopt: arm’s-length governance, independent audit, honest revenue recognition, sustainable leverage, has been tested in Shenzhen at a cost of USD 300 billion, and every one of them has been vindicated.

For companies considering the public market, the advice is simple to state and hard to follow. Grow with earnings, not credit. Govern before you are forced to. Report what is true, especially when the truth is inconvenient. Choose auditors who will argue with you.

Public money changes the rules. Once savers hold your shares and your bonds, your balance sheet is no longer your private affair. It is a public trust, and the market, eventually, always collects on it.

The alternative was on display in a Shenzhen courtroom last week.

How edge intelligence and AI mobility are reshaping Africa’s next digital economy

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For years, artificial intelligence has largely been associated with hyperscale data centres and cloud computing environments. But the next phase of AI innovation is moving much closer to where decisions need to happen at the edge of the network.

This shift is being driven by a new generation of applications that cannot afford delays. Whether in autonomous transport systems, industrial automation, mining operations, intelligent traffic management, or real-time healthcare services, these environments require ultra-low-latency, continuous connectivity, and immediate decision-making capabilities.

As intelligence moves closer to users, devices, and machines, the role of mobile networks is evolving from simply transporting data to actively enabling autonomous systems and real-time digital experiences.

This evolution presents a particularly significant opportunity for Africa.

Africa’s mobile-first advantage

Africa’s digital economy has always been shaped differently from many other regions. While fixed broadband infrastructure remains limited in many markets, mobile connectivity has become the foundation for financial inclusion, e-commerce, education, communications, and digital services.

Some of the world’s largest mobile money ecosystems by transaction volume already operate on the continent. Across sectors, African consumers and enterprises have shown a remarkable ability to adopt mobile-driven innovation quickly and at scale, creating a unique environment for the convergence of AI and mobility. The demand and use cases for intelligent services already exist, and what is accelerating now is the connectivity layer needed to support them.

As operators continue to expand 4G and 5G coverage and adopt more affordable rural connectivity solutions, the continent is creating the conditions for edge intelligence to scale rapidly across industries. This is especially important because many AI-driven applications depend on real-time responsiveness. Sending every data request back to a centralised cloud environment is too slow for mission-critical use cases.

Edge computing changes that dynamic by bringing the required capabilities closer to users and devices, resulting in faster decision-making, lower latency, improved efficiency, and more autonomous operations.

The rise of AI-native networks

AI-enabled devices and intelligent services are already changing traffic patterns across mobile networks. Nokia Bell Labs research suggests AI-native network environments could drive traffic growth increases of between 18% and 30%. That scale of growth requires networks to become far more intelligent, autonomous, and energy-efficient, and this is where AI-powered network orchestration becomes critical.

Modern autonomous network platforms can optimise radio performance, dynamically manage traffic, predict congestion patterns, and automate operational changes in real time. Tasks that once required intensive manual intervention can increasingly be handled autonomously through self-learning systems.

Operators benefit from networks that can dynamically allocate resources based on demand, optimise energy consumption during off-peak periods, and improve user experience without requiring constant human oversight. Network operations centres can also become more automated, enabling faster deployment cycles and more efficient service management.

The future network will not simply carry AI traffic but will increasingly use AI to manage itself.

Why AI mobility depends on the edge

As AI mobility expands, the combination of edge computing and advanced mobile capabilities will unlock entirely new categories of services.

Transport systems provide a clear example. Intelligent traffic management platforms already use connected infrastructure, sensors, and automation to optimise traffic flow and improve safety. In time, these systems will become increasingly autonomous, combining AI analytics, environmental monitoring, cloud platforms, and real-time connectivity into unified mobility ecosystems.

The same principle applies across logistics, ports, mining, manufacturing, healthcare, and smart city environments. In these scenarios, the network becomes more than a connectivity layer. It becomes part of the decision-making architecture itself.

This is also where technologies such as network slicing become increasingly important. Network slicing allows operators to create dedicated virtual segments within a single physical network infrastructure. Different industries and applications can therefore receive tailored performance characteristics depending on their requirements.

A mining operation, for example, may require ultra-low latency and high reliability, while emergency services may require prioritised uplink traffic. Consumer applications, on the other hand, may need different quality-of-service levels entirely.

By intelligently segmenting network capabilities, operators can support diverse enterprise and public sector use cases while also creating new monetisation opportunities.

AI RAN and the edge intelligence ecosystem

One of the most important developments shaping this future is AI RAN, or the integration of artificial intelligence into radio access networks.

AI RAN encompasses multiple dimensions, including using AI to optimise network planning and performance, automating operations, and embedding AI capabilities directly into network infrastructure.

This becomes especially powerful when edge computing and GPU acceleration are introduced into the radio network environment.

At Nokia, this includes the collaboration with NVIDIA to integrate GPU acceleration directly at the edge, enabling intensive AI processing closer to where data is generated and decisions must be made. Through this partnership, GPUs can be positioned within edge architectures to process the wide range of AI-driven use cases emerging across transport systems, industrial automation, enterprise environments, and autonomous operations.

The strategic partnership between Nokia and NVIDIA reflects a broader industry shift toward AI-native networks capable of processing intelligence from the data centre to the network edge.

For Africa, this could become particularly transformative over the longer term. One of the continent’s longstanding challenges has been the cost and complexity of infrastructure deployment. AI-driven network architectures could help operators extract significantly greater efficiency from existing assets, redesign network topologies more intelligently, and expand services into underserved regions more sustainably.

These efficiencies become increasingly important as the industry moves toward 6G over the next decade.

Security becomes foundational to AI mobility.

As AI mobility expands, security and resilience will become just as important as speed and performance. The reality is that distributed intelligence introduces a far broader attack surface. Edge environments, connected devices, autonomous systems, APIs, and AI-driven applications all create new exposure points across the network ecosystem.

This is especially critical in sectors such as transport, logistics, mining, utilities, and public infrastructure, where operational technology environments increasingly intersect with telecoms networks and cloud platforms.

Research across the region continues to show that organisations are facing growing pressure from ransomware, AI-enabled cyber threats, infrastructure attacks, and increasingly sophisticated threat actors targeting critical systems. As networks become more autonomous, security must therefore become embedded in the architecture itself rather than treated as an overlay. This includes AI-driven threat detection, autonomous network monitoring, zero-trust frameworks, API security, and the ability to identify anomalous behaviour across distributed environments in real time.

The convergence of AI, cloud, edge, and mobile connectivity means that resilience can no longer be separated from network intelligence. The two are becoming fundamentally intertwined. For operators and enterprises alike, trust will become one of the defining success factors of the AI era.

The emergence of the telco economy

Telecommunications networks are evolving into programmable digital platforms. Through APIs, cloud integration, edge computing, and AI orchestration, operators are becoming enablers of entirely new digital ecosystems.

Industries ranging from aviation and logistics to fintech and healthcare will increasingly integrate directly with telecom capabilities to build new services, customer experiences, and monetisation models. Africa is exceptionally well-positioned for this transformation because of its scale, digital adoption patterns, entrepreneurial ecosystem, and mobile-first consumer behaviour.

The continent’s next digital growth phase may not be defined solely by connectivity expansion but by how intelligently that connectivity is used. The real opportunity lies in combining AI, mobility, cloud, and edge intelligence into a unified digital foundation that can support entirely new economic models.

The technology pieces are rapidly falling into place. The remaining question is whether regulation, investment, and ecosystem collaboration can evolve quickly enough to unlock the opportunity.

The world is burning less. Why don’t we ever hear about it?

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The fires in France and Spain have had devastating impacts. More than 220,000 people fled the flames west of Bordeaux. Outside Madrid, fires scorched an area twice the size of the capital and drove nearly 90,000 people from their homes. The people who lost homes and livelihoods deserve sympathy—and far better fire policy.

What they do not need is the climate sermon that now follows every plume of smoke. Spain’s Prime Minister Pedro Sánchez called the fires a “painful expression” of climate change. The U.K. and Spanish governments rushed out a joint statement declaring that “climate change was now a national security emergency” threatening our way of life. The verdict was in even while houses burned: only ending fossil fuels can put out the flames.

Here is what makes this so exasperating: the planet is doing the opposite of burning. Satellite data shows that as of August 19, the world’s burned area in 2026 is 41% below the 2012-25 average for this point in the year—on track to becoming the quietest global fire season in a century. On current trends, 2026 could end up burning less than 1.5% of global land area. This would be vastly below the satellite record low in 2022 of 2.2% and likely lower than any year since 1900

Climate change is a global issue, so it should be assessed using global data. Pointing to horrific fires in one corner of one continent while ignoring a planet that burns phenomenally less is the very definition of cherry picking: keep the observations that fit the story, throw away the rest.

Imagine the reverse. If global burned area were running 41% above average, would anyone accept “but the Baltics are quiet this year” as a rebuttal? Of course not. Yet that is precisely the logic now deployed in the other direction.

The climate lobby has seized on one data quirk: In the European fire surveillance, the satellite data for “Europe” includes the whole of Russia, including Siberia and all, so a quiet Russian year can flatten the continental numbers. But strip Russia out entirely, and by August 19, Europe without Russia has burned 27% less than its 2012-25 average this year; 9 of the past 14 years saw more fire by August 19. France’s season is record-bad and Spain’s is severe. But two countries having a dreadful summer do not make a continental inferno, let alone a planetary one. Europe as a whole is having a below-average fire year.

The same pattern holds everywhere you look. Just weeks ago the panic was Canada, whose smoke over New York generated the usual apocalyptic headlines. Yet Canada is having a below-average fire year, as has the United States. Both North America and South America as a whole are at all-time satellite lows. Africa, the most burned continent, is at an all-time low, 43% below normal. Oceania (mostly Australia) is 16% below its usual burned area at this time, and Asia has burned near record-lows this year. Every continent is below normal, far below normal or setting records for how little is burning.

How is it possible that in a world burning less on every continent we believe that the entire planet is in unprecedented flames? Because the coverage tells us so. Infernos make the front page; record-quiet fire years make no news at all. Report only the fires and never the absence of fires, and the public will duly conclude the planet is ablaze—even as the data shows the opposite.

Nor is 2026 a fluke. In the early 1900s, nearly 4% of the planet’s land burned annually, roughly double today’s rate. A century of better agriculture, land management, and firefighting has steadily beaten fire back, because people hate fire and have become very good at preventing it. The world’s long-term fire trend is ever downward.

None of this means France and Spain don’t have a real problem. They do: a record June heatwave dried out vegetation, and decades of accumulated fuel created a monster. The fixes are prosaic and proven: prescribed burns, fuel clearing, fire-resistant building codes, and more firefighting capacity.

What will not help is the standard prescription of net-zero. Even if the entire rich world hit net-zero by 2050, at fantastical costs, the temperature difference by century’s end would be too small to measurably change fire risk.

Telling frightened people their houses burned because of fossil fuels—and that salvation lies in decades of expensive emissions cuts—is not compassion. It is propaganda for extremely costly policies, while providing an alibi for failed fire policies.

Republic of Korea and WFP deliver critical food assistance to 100,000 refugees and host communities in Ethiopia

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The United Nations World Food Programme (WFP) has welcomed a contribution of 2,400 mt of rice from the Government of the Republic of Korea, valued at USD 2.9 million that will support food assistance for 100,000 refugees and vulnerable host communities in Ethiopia.

Ethiopia hosts more than one million refugees and asylum-seekers, mainly from neighbouring Eritrea, Somalia, South Sudan and Sudan. Women and children make up nearly 80 percent of the refugee population, and many rely entirely on humanitarian assistance to meet their basic food needs. In refugee-hosting areas, local communities share already limited resources and services, while the lingering effects of recent droughts continue to strain livelihoods and drive humanitarian needs.

The contribution will help WFP maintain food assistance for refugees while supporting communities that continue to host people forced to flee conflict and insecurity in neighbouring countries.