How AI’s future will echo the rise of the PC

Public discussions about artificial intelligence (AI) often focus on scale—massive data centers, rapidly expanding energy demands, and a race for ever-greater computing capacity. This narrative conveys an image of AI as a technology that will remain concentrated in the hands of major companies operating sophisticated, power-intensive facilities. In many ways, this mirrors the earliest era of computing, when mainframes defined the limits of what was possible and who could participate. While this centralized model reflects the current phase of AI development, history suggests that it is unlikely to be the final stage. Technologies that begin in highly centralized forms often evolve toward more personal and distributed ones. The rise of the personal computer (PC) is a good example of this progression. Once computing power moved from institutions to individual devices, innovation accelerated, access broadened, and society integrated technology in new and meaningful ways. AI may now be approaching a similar turning point. A growing share of intelligence is beginning to shift outward toward personal devices. This emerging trend signals the rise of personal AI where AI becomes more localized, context-aware, and tailored to individual users. Like the PC revolution, this transition holds significant implications for innovation, governance, privacy, and the broader AI ecosystem.