Gap widens between early adopters and laggards. Agentic AI becoming competitive differentiator.
From assistance to execution: How enterprises put AI to work
Original: From assistance to execution: How enterprises put AI to work
Importance: 企業AI導入の実装パターン公開は参考情報だが、新機能やモデル変更ではなく研究発表に該当する
Summary
OpenAI released research on how enterprises are adopting agentic AI, using ChatGPT and Codex. The report reveals how frontier firms are pulling ahead in AI adoption and transitioning from AI as an assistant tool to AI as an execution engine. Key patterns of enterprise implementation and the growing gap between early adopters and slower adopters are analyzed.
Key Points
- Enterprises are shifting toward agentic AI deployment
- ChatGPT and Codex are being used at production scale
- Frontier firms are pulling ahead of slower adopters
- Shift from assistant tools to execution engines underway
- Growing adoption gap between leading and lagging enterprises
View developer notes (APIs, breaking changes, migration)
Research focuses on agentic AI adoption patterns using ChatGPT and Codex APIs. Likely covers integration strategies via REST endpoints, prompt engineering, and tool calling (function calling) for multi-step workflows. Early adopters leverage multi-stage API calls, caching strategies, and fine-tuning to optimize costs and accuracy. Expected to detail PoC-to-production architecture, best practices for enterprise-scale deployment, and performance benchmarks across different agent frameworks and use cases.
Source: https://openai.com/index/how-enterprises-put-ai-to-work
Outlet: OpenAI News
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