Throughout modern history, human civilisation has lived under the shadow of inequality, exploitation, and the concentration of power in the hands of a few. While these patterns have existed for centuries, the overwhelming rise of global capitalism in the post-industrial era has given them a new scale and permanence. Today, we witness an era where a handful of corporations and nations control the majority of the world’s wealth, technology, and narratives. The promise of equitable development remains unfulfilled for much of the Global South, and attempts to build parallel systems—be they socialist experiments, Islamic economic models, or grassroots alternatives—have largely failed to produce a meaningful challenge to the capitalist order. In the midst of this unbalanced global architecture, artificial intelligence emerges as a new tool of digital imperialism, sharpening existing disparities and allowing a select few to dominate the future.
The fundamental issue remains one of structural global income disparity, driven and maintained by the capitalist system. While the Industrial Revolution and, later, the Digital Revolution created immense wealth, the fruits of these transformations have disproportionately benefited a narrow elite. From Wall Street boardrooms to Silicon Valley campuses, the model remains extractive: resources, labour, and data flow from the poor to the rich, from the Global South to the Global North. Even in the era of information and supposed democratisation through the internet, control over algorithms, data repositories, and high-end computing has led to a centralisation of wealth and influence unseen in previous centuries. Capitalism, no longer merely a system of goods production, has evolved into a system of digital domination, where narratives, behaviours, and even desires are shaped and sold.
Historically, socialism and communism were envisioned as antidotes to this inequality. However, the promise of these ideologies remains unfulfilled. Communism, in its classical form, envisioned a stateless, classless society—a utopia where resources would be distributed based on need. Yet, in reality, communist states became authoritarian, marked by centralised power, inefficiency, and, in some cases, state-led violence. The collapse of the Soviet Union and the pragmatic shift of China towards a market economy highlight the practical limitations of communism as a sustainable global model. In Pakistan, communism failed to take root because it lacked cultural resonance, faced hostility from religious and feudal elites, and was led by fractured, often exiled leadership. Moreover, state repression of leftist movements ensured that communism remained confined to intellectual circles, unable to inspire mass movements or policy shifts.
AI capitalism, as it unfolds, is not just indifferent to human dignity; it is actively restructuring human interaction, labour, and identity in ways that prioritise efficiency, control, and profit over ethics, empathy, and autonomy
Socialism, often seen as a softer, more democratic version of communism, also failed to pose a serious challenge in most post-colonial societies. While European social democracies managed to establish welfare states, they did so in resource-rich environments with strong institutions. In countries like Pakistan, socialism was undermined by corruption, lack of meritocracy, and the entrenched power of landlords, the military, and the bureaucracy. The brief experiment with Islamic socialism under Zulfikar Ali Bhutto ended in disillusionment—not because the idea lacked merit, but because it was applied without commitment, competence, or continuity. Socialism in Pakistan has failed because the elite structure—both civilian and military—never allowed the redistribution of resources, land reforms, or the empowerment of labour.
The third potential alternative, Islamic economic principles, holds a powerful ethical appeal. Rooted in ideas of social justice, zakat (almsgiving), prohibition of exploitative interest (riba), and accountability before God, Islamic economics envisions a moral economy where equity and welfare are prioritised over unrestrained profit. Yet, in practice, no Muslim-majority country has managed to create a modern, functioning Islamic economic system that can serve as a model. Islamic banking remains a hybrid, often mimicking capitalist instruments under religious names. The failure here is not of the principles, but of political will, intellectual rigour, and the inability to modernise Islamic jurisprudence to meet contemporary economic challenges.
As these alternatives have faltered, a new kind of empire is being forged—one not of territory, but of data, algorithms, and digital capital. The AI revolution, while promising immense efficiency and innovation, is also producing a dangerous centralisation of wealth and narrative power. A few countries—notably the United States, China, and to a lesser extent, Europe dominate AI research, development, and application. These nations are home to the largest AI companies, data farms, cloud infrastructures, and patent holders. Through AI, they not only automate production and maximise profit, but also shape the world’s information ecosystems. From recommendation engines to predictive policing, from financial trading algorithms to automated warfare, AI is creating a digital imperialism where the Global South becomes a consumer of technologies it does not own, control, or fully understand.
Moreover, AI’s dependency on data—often extracted from users in the Global South without consent or compensation—replicates the colonial logic of resource extraction. Just as raw materials were taken from colonies to fuel European industries, digital data is now harvested to train AI models, generating profits for foreign tech giants, while local economies remain dependent, underdeveloped, and digitally colonised. The economic rewards of AI are massive, but they are not equitably distributed. Countries without technological sovereignty or investment in AI education, infrastructure, and innovation risk becoming permanent digital underclasses, unable to challenge or even understand the systems that govern them.
The irony is bitter. Socialism, Islamic economics, and other ideological frameworks sought to humanise the economy—to anchor it in justice and equity. But AI capitalism, as it unfolds, is not just indifferent to human dignity—it is actively restructuring human interaction, labour, and identity in ways that prioritise efficiency, control, and profit over ethics, empathy, and autonomy. The battle, then, is not only economic or political, but also philosophical: can humans reclaim technology for collective welfare, or will they remain subjects of digital empires governed by unseen algorithms and corporate interests?
In this context, the Global South, including Pakistan, must urgently debate ethical AI, technological self-reliance, and digital justice. This requires not only investments in technology but a visionary leadership capable of integrating ethical principles, social justice, and innovation into a coherent framework. Perhaps the real task now is to reimagine socialism or Islamic economics in the digital age—blending equity with technological progress, and ethics with efficiency. Without such reimagination, AI imperialism may succeed where military and economic imperialism failed by controlling not just resources, but minds, behaviours, and futures.