Gartner: Quantum AI Not Ready Until 2028, Advises Focus on Practical AI

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Gartner Inc. revealed that from now until 2028, there will be no large-scale enterprise AI workloads running on quantum hardware. Classical Accelerated AI, or AI on traditional computers accelerated by specialized hardware, will continue to lead in all real-world performance metrics. Chirag Dekate, Vice President Analyst at Gartner, said that most Quantum AI solutions currently offered by technology providers are merely hybrid technologies or algorithms that apply quantum-inspired concepts, not Quantum-native AI ready for enterprise-level operations. Moreover, there is no validated research confirming that quantum computing provides a performance advantage in enterprise AI processing. Gartner expects that stable quantum computing technology will remain limited to research and development for AI tasks, as the number of logical qubits is still insufficient and cannot deliver real economic value until 2030. The firm advises organizations to separate quantum budgets from AI budgets, as GenAI can deliver measurable returns within 12 to 18 months, while Quantum AI has never created measurable value on real workloads. It also recommends integrating quantum-inspired techniques into existing AI systems, setting criteria for terminating pilot projects, and focusing on logical qubit readiness rather than physical qubit count.

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