OpenAI Blog
Dec 16, 2025
Staying ahead in the age of AI
Discover how leaders can build AI-ready organizations using clear strategy, training, governance, and accelerated innovation.
The five AI value models driving business reinvention
Five AI value models show how leaders can sequence AI from workforce fluency to process reinvention and build durable business advantage.
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Model ML is helping financial firms rebuild with AI from the ground up
As part of our Executive Function series, Model ML CEO Chaz Englander discusses how AI-native infrastructure and autonomous agents are transforming financial services workflows.
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Jul 14
How to manage AI investments in the agentic era
Learn how enterprises can manage AI investments in the agentic era by measuring useful work per dollar, improving efficiency, and scaling high-value workflows.
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How enterprises are scaling AI
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OpenAI Blog
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The Work Now Within Reach
The article titled "The Work Now Within Reach" discusses how increasingly capable and affordable AI technologies can broaden the range of tasks that individuals and businesses can perform. It highlights the potential for AI to enhance productivity and enable more efficient, cost-effective growth. The piece emphasizes the expanding opportunities for leveraging AI to achieve greater work outcomes.
OpenAI Blog
Mar 5
Introducing the Adoption news channel
Practical insights and frameworks to turn AI progress into business advantage
arXiv AI
Sep 12
AI Exposure and AI Resilience: A Two-Dimensional Assessment Framework for Software and Software-Based Business Model
The paper introduces AI Exposure and Resilience (AI‑ER), a two‑dimensional framework for assessing how artificial intelligence impacts software-based business models. AI exposure measures the pressure AI exerts on a company’s value proposition, competitive position, margins, and customer access, while AI resilience evaluates the firm’s capacity to absorb that pressure, adapt, and deploy AI profitably. The framework derives metrics from current AI capabilities, deployment contexts, and research on business models and organizational adaptability, and it incorporates evidence quality and confidence to produce a traceable company profile that can be refined from public data to internal insights.
arXiv AI
Jul 3
AI Virtue: What is "Good" Knowledge in the Age of Artificial Intelligence?
arXiv:2607. 01776v1 Announce Type: cross Abstract: In the age of AI, what will be good knowledge?
Hugging Face Trending Papers
Sep 10
AI Exposure and AI Resilience: A Two-Dimensional Assessment Framework for Software and Software-Based Business Model
The paper introduces the AI Exposure and Resilience (AI-ER) framework, a two‑dimensional assessment tool for evaluating how artificial intelligence impacts software-based business models. AI exposure measures the pressure AI exerts on a company’s value proposition, competitive stance, margins, and customer access, while AI resilience gauges the firm’s capacity to absorb, adapt to, and economically leverage that pressure. The framework derives metrics from current AI capabilities, deployment contexts, and research on business models and adaptability, and it includes an explicit evaluation of evidence quality and confidence, allowing for a traceable company profile that can be refined from public data to internal insights.
arXiv AI
Jun 19
Human-AI Agent Interaction in a Business Context
arXiv:2606. 18716v1 Announce Type: cross Abstract: As AI agents are increasingly integrated into core business processes, understanding and designing effective interaction patterns between humans and AI agents becomes crucial for value creation.
OpenAI Blog
Nov 19, 2025
How evals drive the next chapter in AI for businesses
Learn how evals help businesses define, measure, and improve AI performance—reducing risk, boosting productivity, and driving strategic advantage.
OpenAI Blog
Dec 17, 2025
The state of enterprise AI
A data-driven look at enterprise AI adoption, showing how organizations move from experimentation to real productivity gains and new capabilities.