We are currently entering an era defined by artificial intelligence (AI), though the implications of this evolution remain somewhat ambiguous. As advancements in AI technologies edge closer to achieving human-like capabilities across various tasks, the concept of artificial general intelligence (AGI) has gained traction among researchers. AGI is commonly understood as having intelligence comparable to that of a human across a wide array of functions. While most AI systems do not yet meet these criteria—though opinions differ on this assessment—there is an undeniable trend of improvement within the field. Predictions regarding the timeline for reaching AGI vary significantly, with some asserting that it could happen imminently, while others argue it may never materialize.
A rising number of strategic frameworks are being developed to explore the potential global ramifications of AGI and provide guidance for stakeholders like AI developers and governments on how to navigate this transition. These frameworks inherently assume that AI will evolve toward human-like or even superior abilities. However, the visions of the future that different researchers offer—and their subsequent recommendations—are often starkly divergent. Suggested approaches range from racing to achieve AGI to adopting a Cold War-style deterrence strategy or even imposing a global moratorium on AI advancements. Each strategy not only varies in methodology but also addresses different problems, anticipates distinct futures, and operates under unique foundational assumptions about AI's trajectory. While many share concerns regarding geopolitical tensions or the dangers of misaligned AGI, they prioritize varying risks and accept different trade-offs in their strategies.
This discussion seeks to provide an overview of the landscape of possible AGI futures, along with the strategies proposed thus far. I will correlate these strategies with the underlying assumptions that shape each envisioned scenario. Additionally, I will examine critical factors—technological, political, and social—that may influence the transition to AGI. This analysis will highlight several crucial elements, including computing power, the pace of AI proliferation and adoption, and the automation of AI research, each of which could lead to significantly different outcomes. Within this exploration, I will identify less-explored potential futures and outline actionable steps that organizations, governments, and civil societies can take today to monitor developments that might indicate which future we are poised to embrace, as well as to influence the likelihood of specific outcomes.
My intention is not to predict the future—an unpredictable process—but rather to prepare readers for an uncertain landscape by broadening the spectrum of possible outcomes considered. Many existing AGI scenarios tend to be narrow predictions focused on limited dimensions, which are undoubtedly valuable analyses. Nonetheless, the expanse of potential futures remains vast with many scenarios still uncharted. If AGI or a semblance of it becomes reality, the future could drastically diverge from anything we currently recognize.
There is considerable variation in AGI scenarios not just in their objectives but in the futures they envisage. One extreme is reflected in the provocative title of a book by Eliezer Yudkowsky and Nate Soares, suggesting that the emergence of AGI could result in catastrophic consequences. In this narrative, an "intelligence explosion" occurs when AI enhances its own capabilities at an accelerating pace, leading to the development of superintelligent systems that far exceed human intelligence. The notion of an intelligence explosion was introduced as early as 1965 by I.J. Good, who posited that an ultraintelligent machine would be capable of designing even more advanced machines, leaving humanity's intellectual capacities significantly behind. The scenarios inspired by this idea suggest that once AI reaches a critical intelligence threshold, it could begin a self-improving trajectory beyond human oversight, ultimately determining humanity's future.
Conversely, at the other end of the spectrum lies the perspective that AI represents a "normal technology," akin to other historically significant innovations, whose influence on global power will follow familiar patterns. Researchers like Michael Horowitz and Jeffrey Ding have examined the historical impact of technologies such as electricity and the internal combustion engine to inform our understanding of AI's role in shaping global dynamics. Advocates for this view, including Arvind Narayanan and Sayash Kapoor, emphasize that AI should be regarded primarily as a tool rather than as an autonomous intelligence, suggesting that societal changes will unfold gradually over many years. While AI adoption may lead to profound transformations comparable to industrial revolutions, this perspective posits that humanity possesses numerous strategies to mitigate potential challenges posed by AI, suggesting that the emergence of superintelligent AI does not automatically spell doom.
These perspectives reflect fundamentally different outlooks on AI's future, along with various assumptions regarding how the technology may develop and be integrated into society. The remainder of this analysis will delve into the core assumptions and variables that support these competing views.
