Digital Economy

Enterprises looking to make the most of agentic AI will have to rethink how work gets done and how teams are organized, without forgetting the human workers who set their companies apart.

Here’s what businesses need to know as AI agents move from centralized systems toward a decentralized network of trillions of personal and organizational agents.

Organizations that succeed with digital innovation engage three types of leaders: initiative leaders, shared resource leaders, and portfolio leaders.

The age of agentic AI — systems that are semi- or fully autonomous and can act on their own — has arrived. Here’s what you need to know, according to MIT experts.

Creativity and clean data are at the core of successful artificial intelligence implementations, according to the CFOs of Shopify and Arm Holdings.

Agile was supposed to revolutionize how companies operate, but it’s fundamentally mismatched with the complex world of platform markets, says digital economy specialist Georg Rilinger.

Open-source and open-weight AI models perform well and cost less — but users opt for closed models 80% of the time, according to new research.

The “Quantum Index Report” is a comprehensive assessment of the technology and the global landscape, from patents to the quantum workforce.

New research ranges from how AI agents negotiate to how “personality pairing” can optimize human-AI collaboration.

A new book looks at how the integration of artificial and human intelligence will impact individuals, organizations, and society.