"AI-native development platforms use gen AI to create software faster and easier than was previously possible. Software engineers embedded in the business, acting as "forward-deployed engineers," can utilize these platforms to collaborate with domain experts in developing applications. Organizations can have tiny teams of people paired with AI to create more applications with the same level of developers they have today."
"The technology is sprinkled throughout the list in various forms, from multi-agent systems to physical AI, driving Gartner's list of the most strategic technology trends for 2026. AI supercomputing platforms integrate CPUs, GPUs, AI ASICs, neuromorphic, and alternative computing paradigms, enabling organizations to orchestrate complex workloads while unlocking new levels of performance, efficiency, and innovation. These systems combine powerful processors, massive memory, specialized hardware, and orchestration software to tackle data-intensive workloads in areas like machine learning, simulation, and analytics."
Disruption accelerates in 2026 as AI becomes pervasive across strategic technology trends. AI-native development platforms use generative AI to speed application creation and enable small, AI-augmented teams to produce more software with the same developer headcount. AI supercomputing platforms combine CPUs, GPUs, AI ASICs, neuromorphic and alternative compute paradigms to orchestrate complex, data-intensive workloads for machine learning, simulation, and analytics. The technology appears across multiple forms including multi-agent systems and physical AI, and enterprise adoption is expected to grow, reshaping engineering structures, operational performance, and organizational capability over the coming years.
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