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Gartner released its list of strategic technology trends for 2026 this week, highlighting AI-powered supercomputing platforms, confidential computing, and physical AI as central pillars of innovation in the coming years. According to Gene Alvarez, vice president emeritus analyst at the firm, organizations will face a landscape of accelerated disruption, where the integration of technology, responsible innovation, and digital trust will be essential.
Supercomputing platform with AI
Supercomputing platforms with AI combine CPUs, GPUs, ASICs, and neuromorphic computing paradigms, enabling companies to orchestrate complex workloads and achieve new levels of efficiency. Gartner predicts that by 2030, 80% organizations will have smaller, more agile software engineering teams, powered by AI.
Confidential computing
By 2029, more than 751 Tbp of operations on untrusted infrastructure will be protected by confidential computing, which ensures data security even during processing. This trend reinforces the need for information protection in increasingly decentralized environments.
Physical AI
Physical AI integrates artificial intelligence into real-world devices, such as robots, drones, and industrial equipment. The impact will be significant in sectors that rely on automation, adaptability, and safety, such as manufacturing, logistics, and healthcare.
Impacts for companies
- Reducing operational costs through advanced automation.
- Increasing efficiency and innovation in critical processes.
- Strengthening data security in digital environments.
- Transforming technology teams with a focus on agility and AI.
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