AI: Engine against global inflation

The International Monetary Fund (IMF) publishes its economic outlook for October 2026 with a warning message about the resilience of global growth.

October 06, 2026  |  3 min read

The organization points out that volatility in energy prices and structural tensions in supply chains are keeping inflation above central bank targets in major advanced economies. This scenario is exacerbated by limited fiscal space in most member states, which show record levels of public debt and limited maneuvering capacity to absorb new external shocks without compromising their financial stability.

The report identifies the massive integration of Artificial Intelligence (AI) into production processes as the determining factor preventing a global technical recession. According to the IMF, efficiency gains derived from advanced automation and predictive analytics are offsetting rising operating costs. Without this quantitative leap in productivity, global Gross Domestic Product (GDP) growth would be in negative territory, given the weakness of private consumption and the sluggishness of traditional industrial investment in non-digitized sectors.

AI and resilience against fiscal exhaustion

The dependence of global growth on technological productivity redefines the risk map for Spanish companies. For IBEX 35 corporations, especially in energy-intensive and industrial sectors, the IMF warning confirms that competitiveness no longer lies in the moderation of energy costs, but in the speed of adopting AI architectures. Technology ceases to be a support asset to become the primary safeguard of operating margins in the face of inflation showing signs of being chronic on the supply side.

The fiscal exhaustion of public administrations represents a paradigm shift in crisis management. Unlike previous cycles, companies cannot project state safety nets or direct subsidies for energy contingencies. This vulnerability requires boards of directors to review their treasury strategies and accelerate the transition toward operating models that are less dependent on volatile external factors. The ability of large exporting SMEs to integrate AI tools into their logistics will determine their permanence in international markets where algorithmic efficiency already dictates the final price of goods.

Conclusion: The innovation vector

The scenario projected by the IMF establishes a clear economic bifurcation: organizations with the capacity to invest in technological transformation versus those weighed down by analog cost structures. The window of opportunity for the Spanish business fabric lies in taking advantage of the current transition phase to optimize processes and reduce exposure to raw material volatility. In an environment of state fiscal weakness, competitive autonomy through innovation becomes the only vector for sustainable growth in the medium term.