MIT Technology Review’s EmTech Future 2026 will feature Yossi Matias, Vice President and Head of Google Research, in a session focused on what happens when AI meets everything. The discussion highlights a growing theme in the field: AI’s most meaningful advances may come not from isolated tools, but from its integration into science, industry, and public infrastructure.
AI’s impact is expanding across disciplines
Matias is expected to explore how AI is beginning to reshape areas such as biology, manufacturing, infrastructure, and scientific research. These are domains where better prediction, automation, modeling, and discovery tools can translate into practical benefits, from faster research cycles to more resilient systems.
The optimistic takeaway is that AI is becoming a general-purpose engine for progress. When paired with deep expertise in other fields, it can help researchers and organizations tackle problems that are too complex, slow, or data-intensive for traditional approaches alone.
Why this matters
- Broader reach: AI is moving into sectors that affect everyday life and global productivity.
- Scientific acceleration: AI can help researchers analyze complex systems and generate new hypotheses faster.
- Real-world potential: Applications in infrastructure and manufacturing could improve efficiency, reliability, and sustainability.
While this is a conference session rather than a single product launch or scientific breakthrough, it reflects a major positive direction for AI: the technology is increasingly being applied where it can support discovery, strengthen industries, and help solve practical challenges at scale.