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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.

Moonshot’s Kimi K2: A Disruptive, Open-Source AI Model Redefining Coding Efficiency

Innovative Approach to Open-Source AI

In a bold move that challenges established players like OpenAI and Anthropic, Alibaba-backed startup Moonshot has unveiled its latest generative artificial intelligence model, Kimi K2. Released on a late Friday evening, this model enters the competitive AI landscape with a focus on robust coding capabilities at a fraction of the cost, setting a new benchmark for efficiency and scalability.

Cost Efficiency and Market Disruption

Kimi K2 not only offers superior performance metrics — reportedly surpassing Anthropic’s Claude Opus 4 and OpenAI’s GPT-4.1 in coding tasks — but it also redefines pricing models in the industry. With fees as low as 15 cents per 1 million input tokens and $2.50 per 1 million output tokens, it stands in stark contrast to competitors who charge significantly more. This cost efficiency is expected to attract large-scale and budget-sensitive deployments, enhancing its appeal across diverse client segments.

Benchmarking Against Industry Leaders

Moonshot’s announcement on platforms such as GitHub and X emphasizes not only the competitive performance of Kimi K2 but also its commitment to the open-source model—rare among U.S. tech giants except for select initiatives by Meta and Google. Renowned analyst Wei Sun from Counterpoint highlighted its global competitiveness and open-source allure, noting that its lower token costs make it an attractive option for enterprises seeking both high performance and scalability.

Industry Implications and the Broader AI Landscape

The introduction of Kimi K2 comes at a time when Chinese alternatives in the global AI arena are garnering increased investor interest. With established players like ByteDance, Tencent, and Baidu continually innovating, Moonshot’s move underscores a significant shift in AI development—a focus on cost reduction paired with open accessibility. Moreover, as U.S. companies grapple with resource allocation and the safe deployment of open-source models, Kimi K2’s arrival signals a competitive pivot that may influence future industry standards.

Future Prospects Amidst Global AI Competition

While early feedback on Kimi K2 has been largely positive, with praise from industry insiders and tech startups alike, challenges such as model hallucinations remain a known issue in generative AI. However, the model’s robust coding capability and cost structure continue to drive industry optimism. As the market evolves, the competitive dynamics between new entrants like Moonshot and established giants like OpenAI, along with emerging competitors on both sides of the Pacific, promise to shape the future trajectory of AI innovation on a global scale.

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