Why Companies Are Already Abandoning LLMs

Contrary to popular belief, the failure of AI projects isn't due to poor model quality—it's because companies are deploying AI without a strategic business transformation. Mike Trekay, CIO and Chief Customer Officer at FICO, reveals that 96.25% of AI initiatives fail due to misalignment with business outcomes, with only 5% of companies reporting strong AI-business strategy alignment. The real issue? Organizations treat AI as automation for existing processes—often bad ones—instead of re-engineering their business models. FICO, which runs 80% of global fraud detection, has succeeded by treating AI not as a cost center but as a core driver of top-line value through ultra-low-latency, high-frequency decisioning. The future lies not in massive LLMs but in focused, smaller language models and agentic architectures that are explainable, auditable, and governed with agile frameworks. Trekay warns that the next wave of AI adoption will be defined not by hype, but by trust, compliance, and platform-based governance—especially in regulated industries. The true competitive edge won't come from having an AI chatbot, but from building AI-native systems that are responsible, measurable, and embedded in every decision layer. The episode dismantles the myth that AI failure is technical. Instead, it's cultural: companies lack strategic alignment, governance agility, and model monitoring.