EmTech Future 2026 Spotlights AI’s Convergence with Science, Quantum, and Energy Systems

At the three-day EmTech Future 2026 conference hosted by MIT Technology Review, technology leaders, researchers, and writers gathered to explore the cross-industry impact of artificial intelligence and its growing intersection with robotics, quantum computing, and energy infrastructure.

The program focused on what happens when emerging computing systems move beyond standalone applications and begin to actively converge with foundational scientific disciplines and physical infrastructure.

AI Intersecting with Science and Manufacturing

In a featured session, Yossi Matias, Vice President and Head of Google Research, addressed how AI has begun to fundamentally alter biology, manufacturing, infrastructure, and core scientific research. Matias emphasized that while AI capabilities continue to expand, the technology's most transformative impact is likely to emerge at the crossroads where machine intelligence connects with other specialized domains.

The event examined how these cross-disciplinary intersections are creating both new opportunities and complex systemic challenges as automation and AI tools integrate into everyday industrial operations.

Quantum Frontiers and Next-Generation Energy

Beyond software and machine learning, the conference addressed the hardware and scientific frontiers powering future computing paradigms:

• Quantum Computing in Context: Hartmut Neven, founder and lead at Google Quantum AI, discussed how quantum systems are developing in tandem with other technological frontiers. Neven highlighted that quantum's long-term significance will depend not just on isolated breakthroughs, but on how effectively it interacts with surrounding computational systems.
• Energy, Computing, and Climate: Evelyn Wang, Vice President for Energy and Climate at MIT, outlined the growing interdependencies between advanced computing, physical infrastructure, energy grids, and climate technologies. The session tackled what these converging systems will require from modern industry and society as computational demands escalate.

Shifting Labor and Perspectives

The conference also tackled human and workplace implications. Author and writer Cory Doctorow led a discussion on rethinking human relationships with artificial intelligence, focusing on how automated tools are altering cognitive habits, creative processes, and the structure of professional labor.

Additionally, an editorial panel of MIT Technology Review journalists and analysts provided unpublished reporting and insights into the rapidly shifting trajectory of robotics, AI models, and next-generation infrastructure shaping the broader technology landscape.