In 1848, James Marshall discovered gold at John Sutter's sawmill, triggering the California Gold Rush. Over 300,000 people from around the world flocked to the area, lured by the promise of quick wealth. This discovery transformed the region: San Francisco went from a village to a major city, key infrastructure like roads and railroads were built, and the U.S. economy received a boost of 750,000 kilograms of gold between 1848 and 1855. Thus, California emerged as a regional power. Today, artificial intelligence (AI) is leading a similar revolution, but on a global scale. There is excitement, noise, talent migration, and the belief that getting close is enough to change one's fortune. However, history teaches that discovery does not always equate to wealth: 90% of gold seekers returned in debt after spending on travel, tools, and food at inflated prices. The real beneficiaries were the merchants and suppliers. Samuel Brannan, for example, sold picks and shovels at high prices, raking in millions. Levi Strauss didn’t find gold but created iconic jeans, building a legendary brand. With AI, a similar situation occurs: there are guaranteed winners, regardless of who finds the "nugget of gold." 1. Technological infrastructure: companies like Nvidia, AMD, data centers, and fiber optic networks are essential for any AI project. 2. Cloud providers (AWS, Azure, Google Cloud): like the old transporters, they charge for every hour of use and storage. 3. Generalist platforms and models (OpenAI, Anthropic, Google DeepMind, Meta, Hugging Face): they offer models and APIs, serving as the starting point for most developments. 4. Data experts (Scale AI, Labelbox, Synthesis): without data, there is no AI; data preparation is the most costly and essential process. 5. MLOps, security, and governance specialists: they ensure the safe and legal operation of systems, like the sheriffs and notaries of the past. 6. Technology consulting firms (Accenture, Deloitte, IBM, Capgemini): they integrate AI into real systems, acting as engineers of the new era. 7. Vertical applications: few, but very profitable, are the true veins of value. 8. Only a minority of pioneers truly became wealthy; today, the real value lies in the structural change that AI will bring in the long term. In 1849, a newspaper announced: "California offers riches that defy the boldest imagination." Generative AI could add between $2.6 and $4.4 trillion annually to the global GDP, but it is not a shortcut; rather, it is a process of deep transformation. 2026 is a good time for companies to reflect on how to build that future, avoiding the mistakes of the Gold Rush. Source: lavozdegalicia.es