Artificial Intelligence and Its Rapid Development: Advantages and Disadvantages

Abstract

Artificial intelligence (AI) has moved from a specialist research field into one of the most consequential technologies of the century. This paper asks two questions. How fast has AI actually developed, and by what measure? And what has that speed produced, for whom? Drawing on the Stanford AI Index, McKinsey's global survey of firms, International Energy Agency data, Pew Research Center polling, and peer-reviewed work on algorithmic bias, it finds steep growth in investment, adoption, and model capability, alongside real gains in cancer diagnosis, scientific research, and firm productivity. The same evidence base documents the costs: displacement concentrated in particular occupations, discrimination built into systems already in use, electricity demand rising several times faster than the grid as a whole, a rapid expansion of AI-enabled fraud, and rules that are still being written. The central finding is that the gains and the harms do not land on the same people. Productivity and wage growth cluster in firms already equipped to exploit AI, while displacement, biased decisions, and synthetic-media fraud fall hardest on routine workers, on groups that historical data has always undercounted, and on those least able to verify what they are looking at. Whether the coming decade resembles a broadly shared productivity boom or a narrower one will depend less on the technology than on how fast institutions catch up to it.