AI assistants are being introduced into enterprises through specific functions—sales, customer service, and internal operations—rather than as a single, general-purpose solution. Their impact is typically evaluated on concrete activities such

It usually starts the same way. You know the document exists. You’ve seen it before. Maybe it was shared in an email, or saved somewhere in a shared drive, or

Every year, HBR’s AI in the Wild study analyzes thousands of real generative AI use cases, drawing on posts and conversations from Reddit, LinkedIn, TikTok, and YouTube. This year’s sample

For a long time, video has been treated as a passive asset—something to store, catalog, and occasionally retrieve. But what if video could actually be understood? This is where video

Here we go again, it’s that time of year. Stanford HAI has published the 2026 edition of its AI Index Report, and as every year, we’ve worked through it to

In the global race toward AI transformation, most organizations are asking the same questions:Do we have the right tools? The right infrastructure? The right use cases? But there’s a more

In the past few years, artificial intelligence has moved from experimentation to execution. Yet many organizations are hitting the same wall: the real constraint is no longer the technology itself,

Artificial intelligence is no longer experimental. Across industries, organizations are investing heavily in AI technologies, particularly generative AI, in an effort to boost productivity, automate workflows, and unlock new business

Today, leadership is a constant exercise in balance. We are immersed in a profound technological and social transformation in which Artificial Intelligence (AI) promises to accelerate business models, increase productivity,

Sometimes governing is more complex than changing—especially when it comes to technology. AI governance is a structured system of rules, practices, processes, and technological tools implemented by an organization to