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World Bank Forecasts Global Economy To Grow 2.7% In 2025 And 2026, Marking A Period Of Stabilization

The global economy is projected to grow by 2.7% in 2025 and 2026, maintaining the same pace as in 2024, according to the latest report from the World Bank. This steady growth signals a phase of stabilization, with inflation and interest rates expected to gradually decrease.

For developing economies, growth is expected to remain resilient over the next two years, holding steady at around 4%. However, this growth is still constrained compared to pre-pandemic levels, raising concerns about the ongoing challenge of poverty reduction and broader development goals.

The World Bank highlighted that developing economies, which account for 60% of global growth, are likely to conclude the first quarter of the 21st century with the weakest long-term growth prospects since 2000. The first decade of the century saw remarkable growth, but the aftermath of the 2008 financial crisis, along with other global challenges, has slowed down progress.

Economic integration has weakened, as foreign direct investment (FDI) inflows and GDP share in developing economies are now roughly half of what they were in the early 2000s. Meanwhile, global trade restrictions have surged in 2024, with new barriers reaching five times the average of the 2010-2019 period. As a result, global economic growth has diminished, dropping from 5.9% in the 2000s to 5.1% in the 2010s, and now to 3.5% in the 2020s.

In a statement, Indermit Gill, the World Bank’s chief economist, expressed concern over the future challenges facing developing economies: “The next 25 years will be tougher than the last 25. Most of the factors that once boosted their rise have faded. In their place, we now face tough headwinds: high debt, weak investment, slow productivity growth, and the escalating costs of climate change.”

The report also noted the potential impact of US President-elect Donald Trump’s plan to implement a 10% tariff across a wide range of imports. This could further hinder an already sluggish global economic recovery.

However, there is still hope for stronger-than-expected growth if the world’s largest economies, particularly the US and China, regain momentum.

The increasing importance of developing economies is evident in the shifting global economic landscape. Developing nations now represent 45% of global GDP, up from just 25% in 2000. This growth is largely driven by rapid urbanization, industrialization, and technology adoption in regions like Asia, Africa, and Latin America.

Key factors fueling this expansion include the rise of the middle class, infrastructure development, and an expanding services sector. The World Bank reports that more than 40% of exports from developing economies now go to other developing nations, a significant increase from 20% in 2000. Additionally, these countries are becoming crucial sources of capital flows, remittances, and development aid to others.

M Ayhan Kose, the World Bank’s deputy chief economist, emphasized that developing economies must adopt bold, innovative policies to capitalize on new opportunities for cross-border cooperation amid a landscape shaped by policy uncertainty and escalating trade tensions.

Mirendil Signs $100 Million Google Cloud Deal To Advance Self-Improving AI

AI startup Mirendil has signed a multi-year agreement worth more than $100 million with Google Cloud to secure computing infrastructure for its self-improving AI research.

The partnership reflects growing competition among AI companies to lock in access to high-performance computing, while cloud providers race to attract promising startups developing next-generation AI models.

Backing The Next Stage Of AI Research

Mirendil plans to use Google’s Tensor Processing Units (TPUs), Nvidia GPUs and managed training infrastructure to develop AI systems capable of improving their own performance over time.

Known as recursive self-improvement, the concept focuses on building AI that can refine its knowledge and capabilities with minimal human intervention. The technology is attracting growing interest across the industry, with several startups and leading AI labs exploring similar approaches.

According to co-founder and Chief Executive Behnam Neyshabur, the long-term goal is to develop AI that can automate scientific research and accelerate discoveries in fields such as medicine, biology and materials science.

Compute Capacity Becomes A Strategic Asset

Training increasingly advanced AI models requires enormous computing resources, making long-term infrastructure agreements a critical competitive advantage.

Mirendil said Google’s combination of TPUs and GPUs allows workloads to be matched with the most suitable hardware, improving efficiency while reducing costs for customers.

For Google Cloud, the agreement strengthens its position in the race to provide infrastructure for frontier AI developers, while giving the company exposure to one of the industry’s emerging approaches to next-generation artificial intelligence.

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