Latest from the AI Lab

The real impact of AI on the global economy isn’t primarily about job displacement, at least not in the way most headlines suggest.

Most enterprise leaders view personal AI as a consumer-grade novelty — a smart speaker in the kitchen, a chatbot on a website.

Predictions of AI driving mass unemployment often miss the point. The real disruption isn’t about job elimination; it’s about job transformation, demanding a new kind of strategic workforce planning from leadership.

Imagine your enterprise AI system, after months of development and millions invested, hits a wall. It’s not a code bug or a data issue; it’s a fundamental computational bottleneck.

Most enterprise leaders understand the strategic value of AI, but many still struggle to connect digital insights directly to physical operations.

Most executives still view artificial intelligence as a binary choice: automate or keep humans. This overlooks the most impactful application of AI today – not replacement, but deep collaboration that augments human capability.

Most businesses currently exploring AI are focused on optimizing existing processes: automating customer service, personalizing marketing, or streamlining operations.

The core assumption about competitive advantage—that it primarily rests on scale, proprietary assets, or market dominance—is increasingly outdated.

The pursuit of increasingly capable AI models often means confronting an uncomfortable reality: exponential growth in computational power and energy consumption.

Many executives believe their biggest AI challenge is technical execution. It isn’t. The real hurdle often lies in understanding exactly where AI will deliver tangible value, and when that value will materialize against a five-year horizon.