Everything seems to indicate that the impact of Artificial Intelligence will grow exponentially. With the emergence of autonomous agents, a break occurs in the software world, a blow to the SaaS model, and the entire business ecosystem promises to transform at great speed. Unless that exponential curve crashes against a wall of silicon, energy and, above all, time.
While everyone is watching the software, very few are paying attention to the physical infrastructure.
Until today, AI consumption depended on us. A human wrote a prompt, waited, read and wrote again. But the demand paradigm has just been inverted. The transition to Autonomous Agents changes the rules of the game. It is no longer a human typing; it is machines talking to machines at machine speed, 24/7.
This subjects global networks to growing and unprecedented strain. It is projected that by 2027, inference will surpass model training, representing 75% of all computing needs by 2030.
What is the first bottleneck? It is not just processors. It is memory. High Bandwidth Memory (HBM), critical for AI accelerators, has a brutal physical barrier: manufacturing a single HBM wafer consumes 3 times the production capacity of a traditional DRAM memory wafer. Costs are skyrocketing with up to a 75% increase in a single month and lead times already exceed 20 weeks.
You can deploy a thousand autonomous agents with a click in one second, but building the physical infrastructure to sustain them takes years. By 2030, data centers in the U.S. alone will exceed the electrical demand of the entire state of California. Wait times for a new data center to connect to the electrical grid already exceed 4 years.
The 5 major Hyperscalers are spending nearly 700 billion dollars on infrastructure in 2026 alone. By diverting all investment toward this, traditional clouds are left unattended, and analysts are already projecting massive outages lasting several days.
Technology is a multiplier, but without a business strategy, without a solid business model and a clear operating model behind it, automating and delegating to AI only accelerates failure.
As entrepreneurs, this is a moment of enormous risks and infinite possibilities for reinvention. But it requires strategic focus, the ability to stay continuously informed, flexibility and the capacity to make the best decisions with innovation methodology.
