After spending much of 2024 hardening foundation models, OpenAI's late-2025 product cadence pivoted decisively toward autonomous agents. Operator — the company's browser-based agent introduced in January 2025 — has matured into a tool businesses can use to automate research, form-filling, data collection, and outbound workflows without bespoke RPA tooling. Deep Research, which lets ChatGPT compile structured reports by browsing dozens of sources, has been adopted by analyst teams in Singapore's banking and consulting sectors as a starting point for first-pass diligence work.
For developers, OpenAI's Realtime API and the Responses API have collapsed what previously took weeks of integration work — voice assistants, multi-step tool use, persistent memory — into single-call patterns. The Agents SDK released in early 2025 standardised how teams orchestrate multiple specialised agents, with handoffs and guardrails as first-class primitives. For Singapore system integrators rolling AI into legacy enterprise stacks, this drastically reduces the surface area of glue code that had previously made AI features fragile in production.
The remaining open question for enterprise buyers is cost-at-scale: agentic workflows can consume 10–100× the tokens of a one-shot completion, and OpenAI's pricing for o-series reasoning models reflects that. Local CTOs are increasingly running mixed-model deployments — using GPT-4o-mini for routine inference and reserving o3 and o3-pro for tasks where reasoning depth genuinely changes the answer.