AI Trends 2026: Quantum, Agentic AI & Smarter Automation (AI column)
During the New Year holidays, you can see the predictions. 2026 year. So I came across a video by Martin Keen and Aaron Baughman from IBM that published this. survey about AI 2026 year. By the way, Martin Keen, IBM Fellow, did this video alone last year. told (You can compare with reality and evaluate what happened.).
1Multi-agent orchestration (Multi-Agent Orchestration) 2025 It was the year of AI agents, but no agent can handle everything. In 2026 We'll see teams of specialized agents coordinated by an orchestrator.
2ая Digital workforce (Digital Labor Workforce) Autonomous AI agents are becoming “digital workers” able to parse multimodal input, perform workflow, and integrate with enterprise systems. The key element is human-in-the-loop AI for oversight, correction and strategic management. This is important because digital workers provide a force-multiplying effect. 24/7 They scale without mass hiring.
3Physical AI and Humanoid Robots AI leaves the digital space and enters the physical world. Physical AI are models that understand the 3D environment, physics (gravity, friction) They can interact with reality through robotic systems. For this purpose, we need world foundation models. (WFM)Generative models that create and understand 3D environments. This approach was described by Fei-Fei Li, godmother of AI, in the report “Spatial Intelligence is the Next Frontier in AI”. handler.
4Social Computing – Collective AI A world where many agents and people work inside a shared AI fabric (AI fabric). Agents and people are connected through a single space, exchanging context, intentions and actions, creating an empathetic emergent network.
5Verifiable AI and EU AI Act EU AI Act enters into full force by the middle 2026 years. Like GDPR for AI: High-risk systems must be auditable and traceable. Requirements: Documentation - technical docks, testing, risks Transparency – Users need to know they are interacting with the machine Data lineage – where the data came from and whether copyrights are respected The EU AI Act will set a global template for AI regulation, like GDPR for privacy.
6️⃣ Quantum Utility Everywhere It is in the opinion of the boys that 2026 Quantum computing will begin to solve real problems better, faster or more efficiently than classical systems. Quantum utility scale is a hybrid quantum-classic system integrated into everyday business operations for optimization, simulation and decision making. This is because we are already seeing breakthroughs in error correction, modularity, and hybrid algorithms accelerating, as well as the emergence of Quantum-as-a-Service from IBM, AWS, Microsoft, and Google.
7Reasoning at the Edge – Thinking on the device Large models learned to “think” through inference-time compute (step-by-step reasoning). Now these abilities are distilled into small models. (several billion parameters)Working on laptops and phones. Reasoning models work locally, data does not leave the device, there is no delay to the cloud.
8️⃣ Amorphous Hybrid Computing The future is where AI model topology and cloud infrastructure merge into a fluid computing backbone. Models evolve beyond pure transformers by integrating state space models (SSM) and other architectures. At the same time, clouds combine CPU, GPU, TPU, QPU (quantum) and neuromorphic chips to execute algorithms on the optimal inferencing device, ensuring performance and efficiency.
Totally, 2026 It promises to be a watershed year for AI: from isolated models to orchestrated systems, from cloud to edge, from digital to physical.
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