The figures come from the latest report by Daniel Research Group, which tracks the evolution of the U.S. personal devices market through 2030. While large corporations and tech-heavy sectors drive much of the current activity, small and mid-sized businesses—which represent the bulk of the domestic economy—are largely holding back. This hesitation stems from the practical realities of implementation: significant capital requirements, lengthy integration timelines, and the ongoing struggle to secure specialized talent.
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Corporate AI Adoption Lags Behind Industry Hype
Despite the relentless industry buzz, only 18.4% of U.S. businesses are projected to integrate artificial intelligence into their production of goods and services by 2026. While this marks a steady climb from 3.9% in 2023, the data suggests that widespread enterprise adoption remains a distant reality for most firms.
Beyond the operational hurdles, companies are weighing the long-term return on investment against mounting concerns over energy consumption, data privacy, and the automation of labor. Underlying these pragmatic calculations is a persistent unease regarding machine-led decision-making. Nevertheless, hardware demand is surging. As firms prepare for local AI workflows, shipments of AI-capable PCs, tablets, and smartphones are expected to reach 132.4 million units in 2026, with forecasts pointing toward 315 million units annually by 2030.
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