Big Tech’s $16T Earnings Reveal Structural Power Imbalance: Who Wins When Profits Dictate Market Stability?

Indigenous epistemologies frame data and technology as communal resources, not private property, challenging Big Tech’s extractive model. The Māori concept of *kaitiakitanga* (guardianship) underscores the need for ethical stewardship of digital ecosystems, while the Zapatista movement’s rejection of neoliberal tech governance highlights the incompatibility of corporate capitalism with Indigenous self-determination. These perspectives reveal how Big Tech’s earnings are built on the erasure of collective rights and ecological limits.

The current Big Tech dominance mirrors historical patterns of corporate consolidation, such as the Gilded Age trusts or the East India Company’s monopolistic control over trade. The 1990s dot-com bubble and the 2008 financial crisis demonstrate how financialised capitalism externalises risk while privatising gains. The post-2008 era of quantitative easing further entrenched Big Tech’s power by inflating asset prices and suppressing interest rates, enabling their monopolistic growth.

In India, the *Jugaad* innovation model—frugal, inclusive problem-solving—contrasts with Big Tech’s top-down, profit-driven approach, showing how alternative tech paradigms can prioritise accessibility and equity. The European Union’s General Data Protection Regulation (GDPR) reflects a cultural emphasis on privacy and individual rights, while China’s state-led digital economy prioritises social stability over shareholder returns. These models highlight the cultural relativity of 'market efficiency' and the need for pluralistic tech governance.

Economic research (e.g., Piketty’s *Capital in the Twenty-First Century*) demonstrates that unchecked capital concentration leads to systemic inequality and reduced economic mobility. Studies on platform capitalism (Srnicek, 2017) show how network effects and data monopolies create winner-takes-all markets. The environmental cost of data centres—responsible for ~1% of global electricity use—undermines the sustainability claims of 'green tech' narratives.

Artistic movements like Afrofuturism critique Big Tech’s extractive logics by imagining futures where technology serves liberation, not oppression (e.g., Octavia Butler’s *Parable of the Sower*). Spiritual traditions, such as Buddhist economics, reject the primacy of GDP growth, advocating for sufficiency and mindfulness in technological adoption. These perspectives reveal the spiritual poverty of a system that measures success solely in monetary terms.

Scenario modelling suggests that if current trends continue, Big Tech’s earnings will further stratify society, with 1% of the global population controlling 50% of digital assets by 2030. Alternative futures include decentralised, cooperative tech models (e.g., platform cooperativism) or state-led digital sovereignty initiatives that redistribute power. The rise of AI-driven automation could either exacerbate inequality or enable a post-work economy, depending on governance choices.

Gig workers, content moderators, and global supply chain labourers—disproportionately women, migrants, and people of colour—are the invisible backbone of Big Tech’s profits, yet their labour is systematically devalued. Indigenous communities face land dispossession for data centres and mining operations, while Global South users are often treated as data mines rather than stakeholders. Movements like #TechWontBuildIt highlight how marginalised voices are excluded from tech governance, despite bearing the brunt of its harms.

The trickster here is Hermes, the Greek god of both commerce and thieves, who embodies the duality of Big Tech’s earnings: they are celebrated as 'innovation' while being built on theft—of data, labour, and public resources. Anansi, the West African trickster spider, would expose how Big Tech spins webs of dependency, trapping users and workers in cycles of exploitation under the guise of 'convenience.' The absurdity lies in framing a system that extracts $16 trillion in a week as a 'rally'—as if the market were a sports event, not a rigged game.