The people building the world's most advanced AI systems are becoming more vocal about its risks. As researchers from OpenAI, Anthropic, and Google DeepMind publicly debate safety, alignment, and control, a new question is emerging: can governance keep pace with capability?

Businesses spent $300 million on quantum computing in 2025 as they prepare for a future where quantum technology could supercharge artificial intelligence. Rather than buying quantum computers, most companies are investing in Quantum-as-a-Service, cloud-based platforms, and AI-focused applications. As enterprise adoption grows, quantum computing is increasingly viewed as a strategic technology that could accelerate innovation across finance, healthcare, manufacturing, and sci

What if the most valuable company in AI isn't the one building the smartest model? Nvidia's reported $6 billion Poolside deal suggests a different vision of the future—one where ecosystems matter more than model rankings, and where the winners are determined not by who creates the best AI, but by who builds the platform everyone else depends on.

AI is changing the board agenda, but not in the way many directors think. The challenge isn't simply cybersecurity. It's understanding three separate oversight responsibilities: protecting the enterprise from cyber risk, creating value through responsible AI governance, and managing a new generation of AI-driven threats. Boards that distinguish these conversations will make better decisions and avoid one of the most overlooked governance risks today.