Put AI to work for your product team

Putting AI to work at Upwork

Upwork puts AI to work, uniting team members, operations and product development

LaunchDarkly's approach to AI-powered product management

A conversation with Claire Vo, Chief Product Officer of LaunchDarkly, about the changing role of product managers, her anti-to-do list, and building AI-native teams.

From assistance to execution: How enterprises put AI to work

OpenAI research reveals how enterprises are adopting agentic AI, using ChatGPT and Codex, and how frontier firms are pulling ahead in AI adoption.

Our views on AI policy and political advocacy

Our approach to AI policy and political advocacy, transparency, support for thoughtful regulation and AI safety, and that no outside political group speaks on the company’s behalf.

How workers are unlocking new ways of working

The article discusses findings from OpenAI Economic Research that illustrate how workers are integrating AI into their jobs beyond conventional roles. It highlights specific new activities that are becoming regular components of their work routines. The research provides insight into the evolving nature of work in the AI era.

How AI-native companies turn workflows into operating capability

The article discusses how AI-native companies such as Basis, Clay, and Exa Labs employ AI agents to enhance various business processes, including onboarding, account management, and developer integrations. It highlights the practical applications of these AI-driven workflows for enterprise leaders, illustrating how they can be adopted in similar contexts.

Redesign Work Before You Add More AI Agents

Map AI value, design workflows, redefine talent, upgrade the executive team, and measure the business impact. The post Redesign Work Before You Add More AI Agents appeared first on Towards Data Science .

Why responsible AI development needs cooperation on safety

We’ve written a policy research paper identifying four strategies that can be used today to improve the likelihood of long-term industry cooperation on safety norms in AI: communicating risks and benefits, technical collaboration, increased transparency, and incentivizing standards. Our analysis shows that industry cooperation on safety will be instrumental in ensuring that AI systems are safe and beneficial, but competitive pressures could lead to a collective action problem, potentially causing AI companies to under-invest in safety.

How Scania accelerates work with AI across its global workforce

Global manufacturer Scania is scaling AI with ChatGPT Enterprise. With team-based onboarding and strong guardrails, AI is boosting productivity, quality, and innovation.

Developing a Roadmap to an AI-first Organization: A Case Study in Embedded Software Development

The paper examines how a large embedded systems company is transitioning to an AI‑first organization, focusing on the role of autonomous AI agents in software engineering. Through a mixed‑method study involving 40 workshop participants—scrum masters, architects, managers, and product owners—the authors identify expected impacts on team structure, required competencies, organizational strategies, and developer roles. The study concludes with a concrete roadmap and discusses implications for federated AI team formation, human‑in‑the‑loop practices, and sustainable AI adoption in embedded software engineering.

AI Agents Are Here. What Now?

Do we have the knowledge we need? Rethinking human-AI decision-making in corporations

arXiv:2606. 15575v1 Announce Type: new Abstract: Organizational knowledge is fragmented across a variety of software systems, tacit expertise, and manual documents that have traditionally been designed for human consumption.