Summary
According to **IBM**'s recent article, the pace of innovation in AI and tech will not slow down in 2026. Experts predict that new agentic capabilities will give way to new possibilities for businesses and individuals alike. **Chris Hay**, IBM's Distinguished Engineer, believes that AI creation will become more accessible, similar to music production. Meanwhile, **Kaoutar El Maghraoui**, a Principal Research Scientist at IBM, thinks that GPUs will remain dominant, but ASIC-based accelerators and quantum-assisted optimizers will mature. The article highlights 18 expert predictions for the year ahead, including the growth of open-source reasoning models and agents, and the increasing importance of trust and security in enterprise AI. For more information on AI and tech trends, visit [[artificial-intelligence|AI]] and [[tech-trends|Tech Trends]]. The future of AI and tech is closely tied to the development of new technologies, such as **quantum computing** and **ASIC-based accelerators**. As these technologies continue to evolve, we can expect to see significant advancements in AI capabilities. To stay up-to-date on the latest developments, follow [[quantum-computing|Quantum Computing]] and [[asic-based-accelerators|ASIC-based Accelerators]].
Key Takeaways
- The pace of innovation in AI and tech will not slow down in 2026
- New agentic capabilities will give way to new possibilities for businesses and individuals alike
- GPUs will remain dominant, but ASIC-based accelerators and quantum-assisted optimizers will mature
- Trust and security will become key priorities in enterprise AI
- Open-source reasoning models and agents will continue to push boundaries in enterprise AI
Balanced Perspective
The article highlights the predictions of 18 experts in the field of AI and tech, providing a balanced view of the trends that will shape the industry in 2026. While some experts, like **Chris Hay**, are optimistic about the potential of AI creation, others, like **Kaoutar El Maghraoui**, focus on the technical advancements that will drive innovation. The article also notes the importance of trust and security in enterprise AI, highlighting the need for careful consideration of these factors. For more information on the current state of AI, visit [[current-state-of-ai|Current State of AI]].
Optimistic View
The future of AI and tech looks bright, with experts predicting significant advancements in agentic capabilities and AI creation. **Peter Staar**, a Principal Research Staff Member at the IBM Research Zurich Laboratory, believes that the pace of innovation will only accelerate in 2026. With the growth of open-source reasoning models and agents, we can expect to see more accessible and efficient AI solutions. For more information on the potential benefits of AI, visit [[ai-benefits|AI Benefits]].
Critical View
Despite the optimistic predictions, there are also concerns about the potential risks and challenges associated with the growth of AI and tech. The increasing importance of trust and security in enterprise AI highlights the need for careful consideration of these factors. Additionally, the article notes that the pace of innovation may be accelerating, but it is unclear whether this will lead to significant benefits for all stakeholders. For more information on the potential risks of AI, visit [[ai-risks|AI Risks]].
Source
Originally reported by IBM