IEEE released a report called “Technology Predictions 2026”, and it covers a very wide range of topics.
The document analyzes the key technology trends that will have the greatest impact on the world in 2026. The main leitmotif is the total dominance of artificial intelligence. Experts note that the pace of AI adoption exceeds that of all previous technological revolutions.
The report was prepared by an international group of 114 experts under the auspices of the IEEE Computer Society. The full list includes representatives from organizations such as IBM Research, Intel, AMD, Meta, HP Inc., Nokia, as well as major global research centers and laboratories. At minimum, it is worth paying attention to.
Key points
AI and Future of Work: AI agents will become standard “team members” for most knowledge workers. Competitive advantage will shift from staff size to the efficiency of using intelligence.
Embodied Physical AI: Intelligence moves into the real world through robots and drones, automating manufacturing, logistics, and urban infrastructure. This improves efficiency and safety through autonomous machines capable of making dynamic decisions.
Wearable Devices: New form factors integrate AI into everyday life in simple ways. These always-on devices will make privacy issues even more important.
Datacenter Energy Management: Scaling data centers for AI needs will require innovations in energy generation, management, and heat removal.
Social AI: Artificial emotional intelligence will allow AI assistants to recognize mood and tone. This will help them with “soft skills” such as negotiation and resolving misunderstandings.
Edge AI: Enables generative intelligence on resource-constrained devices using small language models. This ensures privacy, low latency, and access to AI in places without stable connectivity.
Space Communications: Direct satellite-to-mobile communication will use existing protocols without additional equipment. A Zero-Trust approach in 6G space networks will help overcome perimeter security problems.
AI and Future of Electrical Grid: Future power grids will become AI-managed, predictive, and increasingly autonomous.
AI and Future of Medicine: Adaptive bio-AI interfaces will appear, reading human biological signals and adjusting therapy or the digital environment in real time. This will mark the merger of personalized health and intelligent computing.
Assurance Layers in AI Pipelines: Mandatory control layers, such as data provenance tracking and abuse detection, will become standard when deploying foundation models.
Autonomous Driving: A shift toward capital-intensive robotaxi services in densely populated cities, trained using digital twins and a new AI stack.
Cybersecurity: Identity-first security with AI support will become a baseline due to ransomware pressure and regulatory requirements.
Future of Coding: “Vibe coding” will allow non-developers to create functional code using prompts and natural language, developing the low-code/no-code concept.
AgroTech: AI will become a tool for forecasting and increasing crop yields, improving product quality, and reducing costs.
Rack Scale Architectures: Rack-level optimization will improve data center energy efficiency by smoothing consumption peaks and balancing power sources.
Multimodal AI: Systems go beyond one data type, combining language, vision, audio, 3D, and sensors for comprehensive understanding.
Analog In-memory Computing for AI: Moving computation directly into memory arrays radically reduces data transfer, lowering latency and energy consumption by orders of magnitude.
Policy for AI: Governments will enforce ethical AI use, emphasizing fairness, transparency, privacy, and human oversight.
AI-Generated Content: AI will transform multimedia creation (video, music, documents), raising questions about authenticity and economic impact.
Engineered Therapeutics: Use of genetic and synthetic biology to treat diseases, including “living medicines” (ETL) and synthetic materials.
AI Personalities: The emergence of AI-generated actors, hosts, and influencers who will be difficult to distinguish from real people by the end of the year.
New Processors: Development of 3D architectures using AI, aimed at thousandfold performance improvements while reducing power consumption.
Quantum-safe Cryptography: Development of algorithms resistant to the threat of breaking current encryption with quantum computers.
AI-Driven Virtual Worlds: Autonomously created adaptive worlds where AI synthesizes 3D content, narrative, and social interactions in real time.
Future of Manufacturing: Creating products with minimal energy consumption throughout their entire lifecycle.
Personalized Learning: Adapting education to each student’s pace and path, becoming cost-effective thanks to AI tools.
Conclusion
The IEEE report paints a fairly interesting picture of a future where AI is something like “the new electricity”: an invisible but ubiquitous force that runs factories, treats people, creates virtual worlds, and optimizes resource consumption. However, experts warn that technological optimism must be balanced by strict regulation and ethical oversight, because risks to society grow in proportion to technological capabilities.