While public discourse on artificial intelligence has long been dominated by debates over model sizes, deployment costs, and generation quality, analysts warn that society is overlooking a fundamental and potentially dangerous shift: AI is transitioning from a tool that provides recommendations to a system authorized to act.
To understand the watershed moment for the technology in 2026 and 2027, experts argue that the key lies not in technological breakthroughs, but in the delegation of decision-making authority and the simultaneous lack of institutional accountability.
Analysts note that concepts likeArtificial General Intelligence (AGI) andSuper AI—hypothetical stages of human-level or superhuman capability—remain long-term concerns and are not the immediate governance challenges facing enterprises and governments today.
The evolutionary chain from "capability formation" to "action authorization" has created a governance paradox.
When AI acts only as an advisor, errors are viewed as information bias. However, once systems begin executing decisions, errors transform into real costs and public risks.The danger lies in the "responsibility vacuum" created when action authority is delegated without a corresponding framework for accountability.
In high-risk sectors such as telecommunications, energy, transportation, and manufacturing, AI is permitted to make judgments in milliseconds. In contrast, human institutions operate on annual cycles of review and legislative amendment.
"Systems don't hesitate; humans aren't urgent," the analysis suggests.
This speed gap allows for a scenario where companies attribute errors to automatic system judgments, engineers blame model bias, and regulators cite "trial phases." While multiple parties participate in the authorization of these systems, no single entity is prepared to assume full responsibility for the outcomes.
If this dynamic persists, the primary threat to governance systems will not be a rogue superintelligence, but rather the normalization of systems that are "authorized but unaccountable."
The coming years will likely be defined not by how human-like AI becomes, but by whether society acknowledges it has entered a transition period where decision-making power has been handed over to non-human systems before human institutions have adapted to hold them accountable.
*The author is an adjunct professor at Tunghai University. （Related： When Civilian Buffers Disappear, Cross-Strait Relations Enter a Riskier Phase ｜ Latest ）
