Red Hat distinguished engineer unpacks 'The Agentic Paradox'

Red Hat engineer Steve Watt describes "The Agentic Paradox," noting that while frontier AI models are ideal for initial deployment, their rising token costs become unsustainable for enterprises as they scale. He proposes a hybrid strategy of moving certain workloads to self-managed, open-weight models to regain control over inference costs and infrastructure sovereignty. Red Hat's updated AI platform aims to support this transition by helping organizations implement more cost-effective, self-hosted AI solutions.