Socioeconomic environments shape how cognitive ability is expressed Stress, sleep, and opportunity influence developing brain function Rigorous education can cultivate causal and analytical reasoning Intelligence is often discus

Prediction prices as collective beliefs—not scientific probabilities Useful supplements to models and experts, but unreliable substitutes Non-monetary markets as laboratories for forecasting and human behaviour Predict

Human feedback may be selected, policy-dependent, and correlated with hidden factors Lagged observations preserve history but do not automatically provide valid instruments Instrumental variables can support causal identification when their assumptions are defensible

Advanced education creates capability, but markets and institutions determine whether that capability can be used The greatest educational gains often accrue to well-prepared students whose local options are weak but whose access to global opportunities is strong Rigorous AI education therefore needs more than an admissions pathway: it needs a credible route from learning to deployment

Fortune published an article on 28 April 2026 examining the rising cost of enterprise AI adoption and the economic conditions under which AI systems can replace or complement human labor.

In February 2026, the Swiss Institute of Artificial Intelligence and The Economy reorganized their editorial collaboration.