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At TechEx North America, industry leaders grappled with the challenge of proving AI's value, highlighting the critical gap between pilot projects and scalable implementations.
Multiverse has raised $70 million at a $2.1 billion valuation to accelerate its AI adoption initiatives across Europe.
Google is hiring hundreds of engineers to help customers adopt its AI, highlighting the ongoing challenges in implementing AI technologies across businesses.
ChatGPT adoption surged in Q1 2026, with fastest growth among users over 35 and more balanced gender usage, signaling broader mainstream AI adoption.
OpenAI's B2B Signals research reveals how leading enterprises are deepening AI adoption, scaling Codex-powered workflows, and building sustainable competitive advantages.
Accenture's research shows companies must demonstrate sustained early wins from AI investments to build momentum, shifting from siloed AI to systemic AI across entire organizations.
Apple CEO Tim Cook revealed that AI adoption has outpaced expectations, causing supply chain delays for the Mac Mini that could last several months.
Microsoft reports over 20 million paid Copilot users, demonstrating strong adoption and engagement despite previous skepticism about AI tool usage.
Food distribution company Choco has transformed its operations using OpenAI APIs, achieving significant productivity gains and operational efficiency improvements through AI automation.
OpenAI has achieved FedRAMP Moderate authorization for ChatGPT Enterprise and the OpenAI API, enabling secure AI adoption for U.S. federal agencies. This milestone opens new opportunities for federal agencies to integrate AI technologies while maintaining compliance with stringent security protocols.
Government agencies may adopt AI agents faster than private companies, according to a new survey. Leaders expect AI's workforce impact to surpass previous technological revolutions.
AI coding adoption is surging, but engineering leaders are still measuring usage instead of outcomes, creating a costly blind spot. The question that AI providers don't want you to ask is: what is the actual impact of AI on development velocity and code quality?
