AI's impact will disproportionately affect knowledge workers in developed nations. Concurrently, it offers nations in the Global South an opportunity to bypass traditional development stages by adopting AI tools, potentially rebalancing the global economic order in a way similar to the mobile phone revolution.

Just as NAFTA brought cheap goods but eliminated manufacturing jobs, AI will create immense productivity via a new class of "digital immigrants" (AIs in data centers). This will generate abundance and cheap digital services but risks displacing vast swaths of cognitive labor and concentrating wealth.

The introduction of AI and robotics into the labor force represents a disruption far greater than globalization. Unlike outsourcing to another country, AI introduces a competitor that is smarter, works 24/7, has no language barrier, and requires no benefits, fundamentally changing the nature of employment for human workers.

AI creates a stark economic divergence. Nations with advanced industrial manufacturing (e.g., Taiwan, Netherlands) will experience massive growth by supplying AI's physical needs. In contrast, knowledge-based economies will face mass disruption as white-collar jobs are automated in a winner-take-all dynamic.

Unlike the 1990s, when workers laid off from state-owned enterprises were absorbed by a subsequent WTO-fueled manufacturing and property boom, today's AI-driven job displacement has no clear next growth engine. This makes the current transition far more precarious for millions of workers.

Historical analysis of the Industrial Revolution reveals that rapid automation initially concentrated productivity while driving down local life expectancy and worker living conditions. Lovely notes that broader prosperity only materialized after organized labor movements fought for redistributive policies. Rapidly automating entire occupational sectors without planned interventions or direct financial restitution risks repeating historical exploitation at scale.

Vinod Khosla warns that AI will decimate the traditional business process outsourcing and IT services sectors, which are foundational to India's economy. Incumbent firms face extinction unless they radically reinvent their business models.

The playbook of leveraging a large, low-cost workforce to become a manufacturing power is obsolete. Future competitiveness will be determined by automation density (robots per 100,000 people), making it impossible for nations like India to simply replicate China's industrial rise.

While AI may not cause mass unemployment, its greatest danger lies in automating the routine entry-level tasks that new workers rely on to build skills. This could disrupt traditional career ladders and create a long-term talent development crisis for organizations.