Every CTO has had the same nightmare: 200 SaaS tools, infinite integration complexity, mounting costs. But when it comes to AI, tool sprawl isn't the problem. It's your biggest untapped advantage.

When it comes to AI, the biggest gains live in the white spaces, the system boundaries created back when coordination was too expensive to happen.

Many companies approach AI by identifying tasks they can automate. The bigger opportunity is not making current processes cheaper. It's recognizing that AI enables coordination across fragmented parts of organizations that couldn't align before.

Two years into the LLM era, the commodification of powerful foundation models has shifted the competitive dynamics from biggest brain to deepest moat.

Successful AI projects begin with a clear understanding of how work actually happens. Intelligence Mapping reveals where AI agents can create value before code is written — preventing costly failures and ensuring AI investments solve real problems.

In her seminal AI report, Mary Meeker looks back at a seeming paradox from the first Industrial Age to underscore how the enormous productivity potential of artificial intelligence is poised to unleash entirely new categories of human activity.

Can AI shopping assistants close sales like a human expert? Our test shows they can, and how! Perplexity leads the pack, delivering expert-level, contextually nuanced product knowledge while ChatGPT impresses. Amazon's Rufus and Google Gemini trail behind. As shopping shifts from keywords to conversations, brands must adapt or risk invisibility in the AI-mediated future.

Agentic ecommerce moves beyond recommendation algorithms to focus on what the buyer is actually looking for.

As AI agents become mainstream, leaders need to prepare for a profound shift in human-machine collaboration.

Realizing the full potential of AI agents presents a curious challenge: learning from mistakes.

The AI revolution demands a fundamental reimagining of organizational structure and operation, argues Nancy Wang.

In this season of tech predictions, Human+Machine has proven prescient about the nonlinear roots of AI superpowers, writes David Golub.

Anthropic CEO Dario Amodei’s thought-provoking essay Machines of Loving Grace offers a nuanced vision of techno-utopian progress.

The AI revolution isn't about machines replacing humans — it's about forging partnerships that amplify human capabilities. 

In the spring of 2023, I found myself sitting across from "Kathy" (not her real first name), a brilliant technologist who had just witnessed her AI project implode at a Fortune 500 company.  "The funny thing is," she said, stirring her coffee thoughtfully, "we thought we were ready. We had ticked all the obvious boxes. But when we dug deeper, we discovered gaps in places we never thought to look." That conversation sparked a realization that would reshape my understanding of

RAG represents a significant architectural advancement in LLM deployment.

Exciting research is transforming how AI agents communicate, bringing dramatic speed mprovements to enterprise AI solutions.