The upcoming strong El Niño is not an isolated climate event but a potent amplifier of existing global problems. It is expected to exacerbate food insecurity in the Global South, a region already suffering from fertilizer shortages and supply chain issues caused by geopolitical conflicts like the war in Iran.

The world faces two simultaneous, unrelated threats to food security. Geopolitical conflict is disrupting fertilizer supplies needed for crop yields, while the El Niño climate pattern is predicted to bring droughts and extreme weather to vulnerable agricultural regions. The combination creates a compounding crisis that could be catastrophic.

Unprecedented ocean temperatures are fueling a Super El Niño. The resulting atmospheric energy release will cause extreme weather, leading to predictable crop failures in key agricultural regions like Brazil, Australia, and India. This may create severe food shortages and economic instability over the next 12 months.

The prospect of future climate events is having immediate, tangible economic consequences. Rising insurance rates and reduced coverage availability in at-risk areas like Florida and California are already depressing property values and the broader economic outlook, demonstrating that climate risk is a current, not just future, problem.

Unlike typical economic cycles with a clear baseline and tail risks, the current environment is defined by radical uncertainty. The combined unknowns of erratic economic policy and AI's transformative potential create a "flat distribution" where extreme outcomes like a depression or an industrial revolution are nearly as likely as a baseline scenario.

After holding a consensus view for 30 years, climate scientists revised the "equilibrium climate sensitivity parameter." This change reduced the probability of extreme temperature increases (e.g., 4-5°C) for a given amount of CO2, recalibrating end-of-century projections towards a less catastrophic, though still severe, path.

The vast disagreement on AI's future economic impact—from minor boosts to over 1000% annual growth—stems from conflicting reference points. Skeptics cite the last 150 years of steady 2% growth, while futurists point to the long-arc acceleration of human history since the agricultural revolution.

Beyond traditional economic factors, climate change creates persistent inflationary pressure. Its impact on harvests drives up food and commodity prices, while increased natural disasters raise insurance and reinsurance rates. This is a crucial, often overlooked, long-term factor in macro analysis.

The consensus on AI's economic impact is fractured. Economist Daron Acemoglu forecasts a negligible 0.07% annual GDP increase over 10 years, treating AI as a rounding error. In stark contrast, other models predict double-digit growth driven by recursive self-improvement, highlighting profound disagreement among experts.