Top executives from Microsoft, Nvidia, Google DeepMind, and more discuss the future of AI at Davos, focusing on AI as infrastructure, chip security, and the crucial race to control the user interface.

Tech leaders and unions clash at Davos over AI's role in the future of work. Experts urge a focus on augmenting human capabilities, not replacing jobs, to ensure AI's social acceptance and share its benefits.

At the World Economic Forum in Davos, CEOs expressed divergent views on the future of work in the age of AI. While some, like Anthropic's CEO, predict rapid job displacement for roles like software engineers, others foresee a net creation of jobs and a surge in AI-driven growth.

Arm CEO Rene Haas at Davos emphasizes shift from centralized data centers to distributed edge AI, addressing energy and memory bottlenecks.

David Solomon argues AI adoption will be harder than expected, predicting slower enterprise implementation and capacity expansion rather than job losses.

Despite $1.5 trillion AI investment, nearly two-thirds of companies struggle to scale AI projects beyond pilots, with agentic AI deployment declining.

DeepMind's Demis Hassabis, Anthropic's Dario Amodei, and AI pioneer Yann LeCun present conflicting views on AGI achievability, with LeCun arguing LLMs alone cannot reach human-level intelligence.

Elon Musk declares at Davos that AI will surpass individual human intelligence by end of 2026 and collective human intelligence by 2030-2031, while Tesla's Optimus humanoid robots advance toward public release.

At Davos, JP Morgan CEO Jamie Dimon cautioned that the rapid rollout of AI could lead to 'civil unrest' and may need to be slowed, while Nvidia's Jensen Huang argued the technology will be a net job creator.

At Davos 2026, Nvidia CEO Jensen Huang introduced a five-layer AI infrastructure framework, highlighting key breakthroughs in grounded models, open models like DeepSeek, and the rise of physical intelligence.