Banks and hyperscalers warn about the AI bubble

Alarms about a possible bubble in the artificial intelligence sector have gained strength following the recent report from the Bank for International Settlements (BIS), the organization that acts as the central bank for central banks. In its mid-year analysis, the BIS warns that the investment frenzy in AI recalls historical bubbles such as the British railway bubble of the 19th century or the dot-com bubble, where capital outflows far exceeded the industries' actual capacity to generate returns. This warning is not minor, as it points out that the exposure of hyperscalers —Amazon, Microsoft, Google, Meta, and especially Oracle— could trigger a domino effect that drags down suppliers, builders, and end consumers. Oracle, which has lost more than 40% of its market value in the last month, is perhaps the clearest example of this vulnerability: its alliance with OpenAI on the Stargate project, valued at $500 billion, forces it to take on debt without guarantees that the startup can pay its bills. In this context, many companies wonder how to adopt AI without falling into the trap of overinvestment. This is where a pragmatic approach based on AI for businesses that prioritizes scalability and measurable return makes sense. At Q2BSTUDIO, we develop custom applications that integrate artificial intelligence, AI agents, and language models efficiently, avoiding oversized infrastructures. Additionally, our experience in AWS and Azure cloud services allows organizations to host their solutions in flexible and controlled environments, minimizing dependence on giants like Oracle. The bubble, as analysts point out, does not mean that AI will disappear; on the contrary, the burst often leaves behind useful infrastructure. The key is to know how to leverage it with business intelligence, using tools like Power BI to measure real impact, and strengthening cybersecurity to protect the sensitive data processed by these systems. Instead of chasing unrealistic promises, smart companies bet on custom software that solves specific problems, with predictable pricing models and no ties to a single provider. The lesson from the bubble is clear: technology advances, but it needs solid foundations to avoid collapsing.