AI Moves Into Production: Agents, On-Device Models, and Enterprise Infrastructure
Published Jan 4, 2026
Struggling to turn AI pilots into reliable production? Between Dec 22, 2024 and Jan 4, 2025 major vendors moved AI from demos to infrastructure: OpenAI, Anthropic, Databricks and frameworks like LangChain elevated “agents” as orchestration layers; Apple MLX, Ollama and LM Studio cut friction for on‐device models; Azure AI Studio and Vertex AI added observability and safety; biotech firms (Insilico, Recursion, Isomorphic Labs) reported multi‐asset discovery pipelines; Radiology and Lancet Digital Health papers showed imaging AUCs commonly >0.85; CISA and security reports pushed memory‐safe languages (with 60–70% of critical bugs tied to unsafe code); quantum vendors focused on logical qubits; quant platforms added LLM‐augmented research. Why it matters: the decision is now about agent architecture, two‐tier cloud/local stacks, platform governance, and structural security. Immediate asks: pick an orchestration substrate, evaluate local model tradeoffs, bake in observability/guardrails, and prioritize memory‐safe toolchains.