Global olive oil prices have hit record highs due to poor harvests in key producing countries like Spain, leading to changes in consumer behavior. Despite origin prices falling from their peak, retail prices remain high and an AI program developed by Diego Hueltes, CEO of TADA.ai, is used to predict olive oil prices. The program, which makes predictions based on historical price, meteorological, and production data, was found to accurately predict price directions 76% of the time. The research, published openly, has the potential to benefit various stakeholders in the olive oil industry, including farmers, retailers, consumers, investors, and traders, by allowing for better planning, inventory management, and investment decisions. While the research may not directly address climate change, which is contributing to production declines, it could provide insights into how climate factors affect olive oil production.