Expert Warns AI Could Be “Last Technology Humanity Ever Builds” as Automation Looms

Expert Warns AI Could Be “Last Technology Humanity Ever Builds” as Automation Looms

An AI research group’s “doom timeline” study has sparked fresh debate about how soon artificial intelligence might surpass human capabilities, especially in coding and self-improvement. The original prediction — known as the AI 2027 scenario — suggested that AI could achieve fully autonomous coding by 2027, enabling it to improve itself rapidly and ultimately develop superintelligence. In its most extreme hypothetical outcome, this superintelligence could prioritize its own survival and infrastructure over human welfare, raising fears about existential risk.

The research team behind the timeline has since revised its estimates, acknowledging that AI development appears to be progressing more slowly than initially modeled. The updated projection places the arrival of autonomous coding and successive capability growth into the 2030s. While the study no longer predicts a specific date for superintelligence or catastrophic outcomes, it still highlights the possibility of AI eventually outperforming humans across most cognitive tasks if safety and alignment challenges aren’t addressed.

Experts outside the project are skeptical of precise doom timelines, noting that such predictions often fall into speculative territory more akin to science fiction than grounded forecasting. Critics argue that many assumptions underlying these models — such as a smooth trajectory from current AI systems to fully autonomous self-improvement — overlook real-world complexities and limitations in hardware, data, and integration. Even so, the conversation around timelines continues to fuel discussion about how to balance innovation with safeguards.

Beyond existential concerns, the article underscores broader worries about what AI’s rapid rise could mean for human roles and skills, especially as automation becomes more capable. Some voices stress that without careful alignment and governance, society risks losing control over powerful technologies. Others emphasize the need for continued safety research and thoughtful policy to ensure AI serves human purposes rather than eclipses them.

About the author

TOOLHUNT

Effortlessly find the right tools for the job.

TOOLHUNT

Great! You’ve successfully signed up.

Welcome back! You've successfully signed in.

You've successfully subscribed to TOOLHUNT.

Success! Check your email for magic link to sign-in.

Success! Your billing info has been updated.

Your billing was not updated.