Al minuto con Protección · Protección SA

EP. 753 - Ola de inversión de las grandes tecnológicas en IA

·22 min·2 clips

Tech giants have poured over $300 billion into AI infrastructure, with projections soaring past $400 billion in the next year.

The episode begins with host Mónica Pardo introducing Alejandra Salinas, an investment strategy analyst. Salinas immediately quantifies the AI investment boom, stating companies like Microsoft, Amazon, Google, and Meta have allocated over $300 billion in capital expenditure (CAPEX) through Q2 2025, with estimates projecting this to surpass $400 billion in the next 12 months. She clarifies that CAPEX refers to investments in physical assets like buildings, equipment, and technology, not day-to-day expenses. This spending is concentrated on data centers, chips, cloud infrastructure, and generative AI technologies. Salinas notes the current infrastructure is insufficient for the scale of AI development, driving accelerated expansion. She mentions the 'Magnificent Seven' tech companies but argues the productivity benefits could extend across all economic sectors, potentially fueling a new US growth cycle. Pardo asks about the economic impact. Salinas cautions that real impact depends on achieved productivity gains, not just enthusiasm. She provides a concrete example: a logistics company using AI for route optimization reduced fuel consumption by 18% and increased delivery punctuality by 25%. She emphasizes that tools like ChatGPT only boost productivity if users know how to apply them, citing a report that 59% of companies will use such tools, but over half lack a clear strategy. The discussion turns to employment. Salinas references a report showing the US had its highest October layoffs since 2003, with nearly 153,000 cuts, particularly in tech and warehousing, partly due to AI adoption. However, she balances this by citing a World Economic Forum projection of 170 million new jobs created globally in the next five years, indicating a net transformation rather than elimination of work, especially in green energy, health, and tech. The conversation then explores sectors beyond software benefiting from the AI wave. Salinas highlights energy, noting International Energy Agency projections that data center electricity demand could more than double by 2030, a challenge for both traditional and clean energy generation. She also mentions construction, as building data centers is labor-intensive, and mining, as materials like lithium, cobalt, and copper become strategically vital for chips and batteries, influencing US-China trade tensions. In closing, Salinas outlines current AI realities: the launch of GPT-5 with improved capabilities like autonomous agents, its use in biotechnology by companies like Amgen, and the rise of physical AI through platforms like NVIDIA Cosmos, enabling robots for logistics, manufacturing, and even household tasks like the NEO robot.

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