For business leaders, the path to AI success lies not in chasing the latest benchmark champions but in developing evaluation frameworks for your specific business objectives.

Over the last half-century, technological change didn’t eliminate work—it changed it. Will AI do the same?

AI agents are set to go beyond simply augmenting humans, becoming true co-workers alongside us.

The agility of mid-sized companies can enable them to more quickly take advantage of revolutionary technologies like generative AI.

Given the speed at which AI technologies are evolving, momentum from continuously adopting and adapting to new technologies is critical to gaining a competitive edge.

In what novel ways might leaders create, deliver, and capture value with a massive increase in computing power?

Just as an exoskeleton enhances human movement beyond natural limits, GenAI empowers workers to tackle tasks that would otherwise be out of their reach.

The metaverse itself is far from dead. In fact, the spatial computing race has only just begun.

Business leaders would do well to reacquaint themselves with the fact that the economic value of technology is greatest when it enables full workflow automation.

When it comes to data sharing in the AI era, policymakers need to ensure that the rules of the game reflect the realities of the tech.

In so many ways, the future is an attitude, a state of mind. The world’s most successful CEOs have shown that if you are decisive and unsentimental, experimental, and ambitious you can navigate through choppy waters toward your vision of the future.

Why don’t more firms share data with others to tackle big, industry-wide problems that they simply cannot solve alone?

When it comes to what’s next in AI, the future is already here—it is the strategic and flexible integration of a wide range of AI technologies through a One-AI approach.

Increasingly, a selling point for AI-powered products is how well they embody specific values such as safety, dignity, fairness, and helpfulness.

Big Tech won't always have the edge in the generative AI race.

Web3 is now being embraced by savvy incumbents, and even being integrated into the fabric of existing institutions it was once meant to challenge and overthrow.

Advancements in AI promise to be self-reinforcing, scrambling how we live and work, and redefining what we consider possible.

AI can identify metrics across organizations that require shared accountability—helping leaders break down silos between teams.

How should companies organize themselves to extract the most value from the partnership of humans and AI?

There is no doubt that A.I., especially with the advent of generative A.I., is a technological revolution. As organizations look to reap the full benefits of this technological revolution, however, they must now turn their attention to the human impact of this revolution.

Using A.I. can help companies transform their performance and sustain that transformation, not just keep track of legacy metrics.