AI trading agents face a reliability bar human apps never did
THE SO WHAT
AI trading agents running the same model but getting different outcomes because one platform times out is a reminder that infra SLOs become part of the strategy itself. If you’re deploying agents in any latency-sensitive domain, treat network, queuing, and failover design as core product work — not just DevOps plumbing.
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Vulnerabilities in a widely used AI gateway like LiteLLM turn prompt routing into an attack surface — including the risk of someone quietly running up your model bill. If you proxy LLM traffic through open source gateways, patch immediately and audit auth, rate limits, and logging this week.
Applied AIAI’s Biggest Risk: Debt-Fueled Growth
If Nvidia demand can run through 2030 but the data centers are financed with heavy leverage, the real systemic risk is a credit squeeze, not a model plateau. Operators planning multi-year AI buildouts should stress-test their own exposure to overleveraged infra partners and rising rates.