Researchers examined a large survey of near three thousand machine learning experts to understand how neural networks might change daily life over the long term. The study collected scenarios about potential shifts in society as artificial intelligence becomes more integrated into work, education, culture, science, and daily routines. The findings were discussed in a peer‑reviewed journal focused on the social aspects of technology. (Source: peer‑reviewed journal)
Most respondents expressed confidence that artificial intelligence could enable remarkable progress across literature, mathematics, music, architecture, and various scientific fields. The consensus pointed toward jumps in creativity, problem solving, and discovery as AI tools gain sophistication and reliability. At the same time, a notable share of participants warned about risks. Between 38% and 51% of the experts believed there is at least a one in ten chance that AI could contribute to human extinction scenarios, while roughly six in ten saw a probability of at least five percent. These are estimates about low‑probability but high‑impact outcomes that scholars emphasize require careful monitoring and governance. (Source: academic report)
When addressing potential threats, the experts highlighted risks such as AI‑generated misinformation and the deliberate shaping of public opinion. The concern is amplified in contexts where political power or civil liberties are under strain, and where information ecosystems become more fragile. This underscores the need for robust verification, transparent AI systems, and resilient civic discourse to counter manipulation. (Source: research findings)
Despite these warnings, the majority of the panel remained optimistic about positive trajectories. About seven in ten participants believed favorable outcomes are more likely, driven by rapid advances in AI capabilities, better data, and improved methods for safe deployment. That optimism rests on observable gains in automation, efficiency, and the ability to tackle complex tasks with precision and scale. (Source: expert survey)
Projections about the pace of capability growth suggest that by mid‑century machines could perform many tasks with minimal human input and at lower costs, potentially transforming how work is organized and how value is created. Some researchers suggested there could be a 50 percent chance that machines will master a broad range of tasks without human intervention by 2047, a shift that would outpace earlier expectations by about a decade. Other scholars had anticipated this transition for 2060, signaling a shift in timing that raises questions about workforce adaptation, education, and policy. (Source: forward‑looking analysis)
Earlier warnings from intelligence and security communities highlighted the risk of AI‑driven cyber threats, including coordinated hacker activity. Such concerns emphasize the need for investment in robust cybersecurity, secure AI design, and international norms that reduce the likelihood of misuse. The conversation points to a broader imperative: harnessing AI benefits while strengthening defenses against misuse and abuse. (Source: security brief)