Concerns over the risks posed by artificial intelligence (A.I.) are increasingly capturing global attention, prompting debate over whether these threats could eclipse climate change as the foremost challenge to humanity’s survival. While the dangers of climate change are well documented and ongoing, some experts warn that rapidly advancing A.I. technology might present a more immediate existential risk.
A.I. risk proponents emphasize the possibility of scenarios in which highly autonomous, self-improving systems could lead to catastrophic outcomes, including human extinction. Toby Ord, a researcher at Oxford University, has described A.I. as a potentially greater threat than climate change when considering risks capable of ending humanity. However, the precise nature and timeline of such disasters remain speculative, with concerns ranging from rogue A.I. controlling critical infrastructure to indirectly causing societal collapse. Seth Baum, executive director of the Global Catastrophic Risk Institute, highlights that such scenarios could unfold gradually as increasing automation becomes vulnerable to failures or intentional misuse.
In contrast, climate change is characterized by a well-established scientific consensus linking fossil fuel emissions to global warming, accompanied by observable impacts such as deadly heat waves, superstorms, and glacier collapses. Advocates for prioritizing climate action argue that its dangers are no longer hypothetical, noting that climate-related disasters are already causing harm worldwide. Leah Stokes, a professor of environmental politics, points out that the existential threat posed by climate change is materializing in real time and warns against allowing A.I. concerns to divert political and public focus from addressing the escalating climate crisis.
The debate around these risks intersects with political developments. For instance, discussions between China’s President Xi Jinping and former U.S. President Donald Trump have included A.I. safety but reportedly excluded climate change, a subject Trump has publicly questioned. This divergence reflects broader challenges in mobilizing international cooperation on climate issues amid shifting priorities.
Moreover, the emergence of A.I. as a major energy consumer complicates its relationship with climate goals. Data centers that power A.I. systems have seen electricity demand surge by about 50 percent in the past year, leading to calls from United Nations officials for the tech industry to align with global efforts to reduce carbon emissions. The upcoming international climate conference in November plans to address the growing energy consumption of A.I. technologies as part of its agenda. Despite commitments from tech giants like Google and Microsoft to achieve carbon neutrality or negativity by 2030, their emissions have continued to rise amid A.I. developments.
Some industry leaders and observers note that A.I. could ultimately aid efforts to combat climate change through improved disaster forecasting and resource management. However, the near-term impact of A.I. expansion appears to increase energy demand and complicate emission reduction efforts.
Bill Gates, a prominent philanthropist and co-founder of Microsoft, has publicly shifted his focus over recent years, first emphasizing climate resilience and later highlighting the existential risks posed by A.I. His evolving stance reflects growing concern about the balance between these two global challenges.
As international leaders and experts weigh the risks and opportunities associated with both A.I. and climate change, the question remains how to allocate political will and resources to address these intertwined threats in a coordinated, effective manner.