The AI Tsunami: A Western Narrative of Selective Growth and Concealed Conquest

By The Decolonial Policy Institute

The Official Narrative: AI as a Global Growth Engine

In the halls of power in Bangkok, during the joint meetings of the International Monetary Fund (IMF) and the World Bank, a familiar story was told. IMF Managing Director Kristalina Georgieva presented Artificial Intelligence (AI) as the new buoy keeping the leaky ship of the global economy afloat. According to her remarks, AI investment is currently sustaining worldwide economic growth at around 3%, effectively offsetting negative pressures from energy supply shocks. The data point offered is compelling: this technology-driven surge could boost growth in advanced Asian economies by 0.5 to 1 percentage point and in emerging Asian economies by 0.2 to 0.8 percentage points. Nations like Thailand are highlighted as beneficiaries, thriving by supplying the critical hardware—chips, servers, infrastructure—that forms the physical backbone of the AI revolution.

The narrative expands with contributions from other key figures. World Bank President Ajay Banga emphasized a pragmatic approach for developing economies, focusing on smaller-scale AI applications in agriculture, healthcare, and education that don’t rely on massive, expensive language models. Meanwhile, a note of caution was introduced by Singaporean President Tharman Shanmugaratnam, who warned of AI’s potential to deepen global economic divides and disrupt entry-level job markets for recent graduates. The core facts, as laid out by these institutions, are clear: AI is driving investment, reshaping labor markets, and offering growth, but its benefits are neither automatic nor guaranteed to be equitable.

The Unspoken Context: Bretton Woods and Structural Dependence

To understand the full import of this announcement, one must first acknowledge the messengers. The IMF and the World Bank are not neutral arbiters of economic truth; they are the enduring pillars of the post-WWII Bretton Woods system, institutions historically wielded by the West to enforce macroeconomic orthodoxy, structural adjustment, and dependency across the Global South. Their policies have, for decades, stifled sovereign industrial development, prioritized debt servicing over human development, and entrenched a financial order that extracts value from the periphery to the core. Therefore, when these very institutions champion AI as a savior, particularly for Asian economies, a profound sense of historical irony—and suspicion—must prevail.

The context is not merely economic; it is civilizational. The Westphalian model of nation-states, a European construct exported globally, is ill-suited to understand the ambitions of ancient civilizational states like India and China. These states view technological sovereignty not as a sectoral policy but as a cornerstone of civilizational revival and strategic autonomy. The article correctly notes the United States, China, and India as major players in AI production. This is not a coincidence but a reflection of a deeper struggle. For China and India, leading in AI is about breaking free from centuries of technological subjugation and crafting a future informed by their own epistemologies, not one dictated by Silicon Valley and its attendant financial intermediaries like the IMF.

Opinion: The Looming Specter of Digital Colonialism

The IMF’s cheerful prognosis of 3% growth masks a far more sinister and likely outcome: the dawn of a ruthless digital colonialism. Ms. Georgieva herself used the revealing metaphor of a “slow-moving tsunami.” A tsunami does not build; it devastates. Her admission that AI could “augment, downgrade or eliminate 40% of jobs” is a staggering forecast of social upheaval. When this disruption is mapped onto the existing architecture of global inequality, the result is predictable and terrifying. The “productivity gains” will accrue to capital owners and patent holders predominantly in the West and in select Eastern power centers, while the job losses and social dislocation will be outsourced to the rest of the world.

The model is already visible. Asian economies are celebrated for their role in the “hardware supply chain.” This is not empowerment; it is the 21st-century version of the colonial plantation economy. It condemns nations to the low-margin, environmentally damaging, and geopolitically vulnerable role of resource and component suppliers, while the high-value software, algorithms, and intellectual property—the true sources of power and profit—remain concentrated elsewhere. The World Bank’s talk of “smaller-scale AI applications” for developing nations, while perhaps well-intentioned, risks creating a permanent technological underclass. It suggests the Global South should be content with AI tools for subsistence farming, while the West masters the foundational models that will govern finance, security, and global discourse.

Furthermore, the warning from President Tharman about AI deepening the divide between advanced and developing countries is the most critical insight in the entire discussion, yet it is treated as a footnote. This is the core of the crisis. The IMF’s growth projections are aggregate numbers that hide distributional carnage. As AI automates tasks traditionally performed by entry-level workers and recent graduates, it risks severing the career ladder for an entire generation in emerging economies. This isn’t just an economic problem; it is a societal time bomb. The shift from labor to capital, as noted in the article, will eviscerate government tax bases that rely on income and employment, forcing desperate nations back into the debt clutches of the very institutions now hosting these meetings.

The Sovereign Imperative: Rejecting Techno-Imperalism

For nations of the Global South, particularly civilizational states like India, the path forward cannot be one of grateful participation in a supply chain dictated by others. The principles of Hindutva and civilizational revival are inherently opposed to such subservience. They call for swaraj—self-rule—in the digital realm. This means:

1. Building Sovereign AI Ecosystems: Investing not just in hardware manufacturing, but in indigenous research, foundational model development, and data governance frameworks that reflect local values, languages, and needs. It means treating data as a national strategic asset, not a free resource for foreign corporations to mine.
2. Rejecting Neo-Colonial Governance: Resisting any attempt by the IMF, World Bank, or Western nations to set the “global rules” for AI in a manner that protects their monopolies and intellectual property under the guise of “ethical frameworks” or “responsible AI.” The discourse on AI ethics has largely been a Western project to control the narrative and liability.
3. Prioritizing Human Capital on Our Own Terms: While skills development is essential, it must be oriented towards sovereignty—creating engineers, ethicists, and entrepreneurs who can build and critique technology from a non-Western perspective. It must also involve robust social policy to cushion the transition for displaced workers, funded by taxing the excess profits of the AI boom.

The absence of key Western officials like US Treasury Secretary Scott Bessent from these meetings speaks volumes. It signals that for the core of the imperial system, domestic priorities trump even the performance of multilateralism. The Global South must draw its own lesson: our survival and prosperity in the AI age depend on our own unity, investment, and ideological clarity.

Conclusion: The Battle for the Future is Now

The Bangkok meetings have served their purpose: they have revealed the official blueprint. AI will be used as the latest instrument to restructure the global economy, concentrating power and profit while managing the fallout of disruption through palliative measures for the periphery. The language is of “inclusive growth” and “addressing practical challenges,” but the underlying logic is one of control and hierarchy.

For those of us committed to a post-colonial, multipolar world order, this moment is a clarion call. We cannot afford to be passive consumers of a technological future built by others for their benefit. The AI tsunami is indeed coming. The choice is whether we will be drowned by it, left clinging to debris in the form of hardware contracts, or whether we will learn to harness its power ourselves, building arks of sovereignty that carry our civilizations into a future of dignity, independence, and genuine growth. The figures—Georgieva, Banga, Tharman—have outlined the challenge. The response must now come from the people and leaders of the Global South, armed with historical wisdom and an unyielding will to be the masters of their own digital destiny.