Earlier this year, U.S. Senator Bernie Sanders conducted an unusual interview with Anthropic’s AI chatbot, Claude, probing whether the technology might support a moratorium on constructing the very data centers essential to its operation. This interaction encapsulates the broader global uncertainty surrounding artificial intelligence, as policymakers and stakeholders grapple with defining AI’s role—whether as a mere tool, a collaborator, an oracle, or a competing entity—and how to regulate its development accordingly.

The international landscape displays starkly divergent approaches. In Argentina, politician Javier Milei has proposed an unregulated AI environment, even advocating for the creation of “non-human corporations,” organizations fully governed by machines. This regulatory openness has attracted notable figures such as Peter Thiel, the entrepreneur and venture capitalist, who has reportedly moved to Buenos Aires, drawn by the promise of minimal oversight. Meanwhile, the U.S. government, despite traditionally supporting technological innovation, has recently indicated a willingness to impose constraints on advanced AI models before broader deployment.

In contrast to these varied stances, Pope Leo offers a distinct perspective that emphasizes ethical and philosophical considerations. He acknowledges AI’s potential to contribute to “integral human development,” while cautioning against a narrow focus on capability alone. The pope stresses that, although AI systems may surpass humans in raw intelligence, they lack true understanding, as they cannot internalize concepts such as love, friendship, work, or responsibility. He also challenges the transhumanist vision that seeks to eliminate human limitations, arguing that human growth often occurs precisely through confronting and embracing these constraints.

Critics of the pope’s view suggest that his approach may downplay AI’s risks, likening calls for cautious use to advising taking dangerous substances “with a pinch of salt.” However, calls for immediate, broad resistance to AI risk misunderstanding the current context. The technology is deeply embedded in economic, infrastructural, and institutional frameworks, making removal impractical. Historically, significant regulatory responses tend to follow clear demonstrations of harm, not anticipation.

Amid these ethical debates, empirical research offers insight into AI’s practical impact. A recent study from MIT scholar Mert Demirer and colleagues examined the productivity effects of adopting AI tools among software coders. Initially, output surged, with nearly 300% more files written or edited. Yet, this increase diminished significantly through stages of human oversight, with final software releases increasing by just 30%. The study suggests that while AI accelerates creation, true value relies heavily on human judgment to review and approve work. Companies such as Uber, after significant AI investments, have scaled back to more cost-effective models, reflecting ongoing challenges in fully integrating AI into production processes.

This interplay between AI innovation and institutional adaptation highlights the broader challenge of governance and responsibility. Former President Donald Trump has proposed government equity stakes in AI companies, framing it as a “partnership with the American public,” whereas Sanders advocates for mechanisms like sovereign wealth funds and public board representation. Some investors, including David Sacks, warn against nationalization efforts, fearing increased entanglement between corporations and government.

Underlying these competing visions is a shared concern about accountability. Public skepticism remains high, with over 70% of Americans perceiving AI as advancing too rapidly. The critical question centers on who bears responsibility for AI’s consequences—who exercises judgment, accepts liability, and ensures redress when harm occurs. As both theological discourse and speculative fiction suggest, societies require clear answers on accountability to tolerate the risks posed by new technologies.

Ultimately, the debate extends beyond AI’s technical sophistication to how much human discretion society is willing to cede in exchange for convenience. Balancing innovation with accountability will shape not only the trajectory of AI development but also the social contract underpinning its integration into daily life.