‘Ghost GDP’: AI Boom’s Risk to Jobs and Markets

As artificial intelligence reshapes global industries, a new research note warns that the technology’s success could come with unexpected economic risks.

Citrini Research, in a forward-looking macro scenario titled “The 2028 Global Intelligence Crisis,” explores what it calls the possibility of “Ghost GDP” — a situation where productivity rises but household incomes and consumer demand weaken.

The report is described as a thought exercise, not a formal prediction.

What Is ‘Ghost GDP’?

According to Citrini Research, rapid AI adoption could allow companies to replace high-cost human labour with automated systems across sectors such as coding, research, financial transactions and even strategic decision-making.

While this shift may improve corporate margins and efficiency, it could also reduce wage income for millions of workers. If incomes fall, consumer spending — a key driver of economic growth — may decline.

The result could be economic output that appears strong in official data but lacks broad-based income growth.

The Feedback Loop Risk

The research note outlines what it calls a “human intelligence displacement spiral.”

Companies automate to cut costs. Profits improve in the short term. But as jobs disappear, demand weakens. Weaker demand then pressures businesses further, encouraging more automation.

This cycle, the report suggests, may not have a natural stopping point.

In such a scenario, even sectors once seen as relatively insulated — including software, financial services and professional advisory roles — could face disruption from AI-driven systems.

Financial Market Impact

The note also highlights potential stress in financial markets.

If revenue growth slows in technology and service firms due to falling demand, private credit exposures tied to software and tech companies could face higher default risks.

Valuation challenges may also emerge, particularly if investors reassess long-term earnings assumptions in an AI-dominated economy.

Why It Matters

Citrini Research argues that the issue is not whether AI boosts productivity, but how its gains are distributed.

Traditional economic thinking assumes that higher productivity eventually leads to greater prosperity. The scenario questions whether that link could weaken if income shifts away from labour toward capital.

If machines replace workers at scale, consumption patterns could change significantly. Machines do not purchase homes, travel, luxury goods or services.

In such a case, headline GDP growth may not reflect underlying economic health.

Implications for India

Although the scenario primarily focuses on the US economy, it has implications for countries such as India.

India’s services exports — especially in the information technology sector — rely heavily on global demand for skilled labour. If AI systems can perform high-value tasks at lower cost, pricing pressures may increase.

Companies such as Tata Consultancy Services, Infosys and Wipro could face structural challenges if global clients reduce dependence on outsourced human talent.

A sustained decline in services demand could also affect India’s current account balance and currency stability.

At the same time, India’s push into manufacturing and supply chain diversification may offer alternative growth pathways.

Policy and Corporate Response

The report suggests policymakers may need to rethink labour market strategies, social safety nets and retraining programs.

Financial regulators could also revisit stress testing models to account for technology-driven risks.

For corporations, balancing short-term efficiency gains with long-term ecosystem health may become critical.

The Bottom Line

The “Ghost GDP” scenario does not predict collapse. Instead, it raises questions about whether AI-led growth could reshape economic structures faster than institutions can adapt.

As automation accelerates, the debate may shift from how much productivity AI delivers to who ultimately benefits from it.