Executive context
Quantum’s enterprise value shows up when paired with AI workflows (optimization, simulation, sampling). The core buyer decision isn’t “quantum vs. AI,” it’s sequencing: which AI workloads to keep on accelerators, which to trial on quantum, and when. Our flagship report quantifies the market at $74.8B by 2033 (28.9% CAGR) with three adoption scenarios and documents median <22-month payback for early pilots launched in 2025–26. itsallaboutpatents.com
What matters now
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Pilot design: choose problem classes with clear baselines and KPIs (time-to-solution, cost per run).
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Integration: plan hybrid orchestration (classical pre/post-processing + quantum kernels).
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Evidence: align with the report’s scenario gates and risk-adjusted ROI to avoid “science project” drift. itsallaboutpatents.com
Decision guide (for boards & CFOs)
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“Go” if you can instrument ROI within 2–3 quarters and have a chip/solver fallback.
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“Gate” if regulatory friction is material in your sector (see Regulatory Friction scenario). itsallaboutpatents.com
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“Park” if vendor portability or data-residency constraints cannot be contractually solved.
Cross-links
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See the $74.8B Quantum-AI Convergence Intelligence report for ROI math, sector playbooks, and dashboard visuals. itsallaboutpatents.com
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Related: semiconductor/AI chip landscape · robotics safety/regulation.
Next: See the Frontier Technologies guide or the full 2025–2033 report for forecasts and detailed methodology.
