SESSION SPEAKERS ANNOUNCED SOON
DATE: Tuesday, April 14
LOCATION: The Conrad Hotel, Washington, DC
DOORS OPEN: 8:30 AM
PROGRAMMING: 9:00 - 11:30 AM
AI is advancing at a pace that is redefining the frontier of scientific and technological possibility. Breakthroughs in foundation models, multimodal systems, robotics, and compute architectures are expanding what both organizations and individuals can build, while raising new questions about safety, governance, global access, and the energy needed to power it.
Innovation hubs around the world are competing to shape the next wave of progress through research investment, open-source ecosystems, and increasingly sophisticated hardware. As compute becomes a strategic resource, nations and companies are racing to secure the talent, data, energy technology, and infrastructure required to sustain momentum. The most transformative developments may come from unexpected intersections — AI with biology, materials science, energy, or quantum computing — yielding capabilities that push well beyond today’s use cases.
Understanding where innovation is accelerating, and how these breakthroughs will diffuse across economies and societies, will define the next chapter of global technological leadership.
The Semafor View

Reed Albergotti
Technology Editor
The next few years of the tech industry will be defined by a scarcity of resources. The world’s underinvestment in infrastructure over the past few decades is now bottlenecking the next era of growth. It’s also creating a massive opportunity for those bold enough to bet billions on the future of AI. Companies that lock up power, chips and memory today will reap the rewards in the years to come, as the rest of the players scramble to catch up, only to find that supplies are not available.
The OpenClaw revolution highlights how throwing huge numbers of tokens at problems increases AI capabilities. Essentially, asking multiple agents to review each other and redo work many times can yield more reliable and complete results. Companies are judging employees on how many tokens they are using. All this points to demand continuing to skyrocket.
