With great AI power, comes great risks - The Star

URL SCAN: With great AI power, comes great risks - The Star
FIRST LINE: ARTIFICIAL intelligence (AI) is reshaping workplaces and classrooms – but its power comes with risks.

THE DISSECTION

The article is not examining whether AI will displace human labor. It is performing institutional domestication: AI is presented as a powerful but manageable “co-pilot,” provided regulators, employers, teachers and workers impose boundaries. Governance, transparency, disclosure and workforce development are offered as the control surface.

The article acknowledges misuse and overreliance, but treats them as the central danger. The larger danger under the Discontinuity Thesis is structural: AI makes cognitive labor cheaper, faster and increasingly unnecessary. That problem is largely absent.

THE CORE FALLACY

It confuses a preferred operating model with an economically stable one. The claim that AI should assist rather than drive work does not survive competitive pressure when autonomous systems produce acceptable results at lower cost. Firms will not preserve human judgment because it is morally desirable; they will retain it only where law, liability, trust or operational necessity makes it cheaper than removing it.

“Humans working with AI” can therefore mean a shrinking supervisory class overseeing automated systems—not a durable partnership preserving mass employment. Human accountability may remain as a signature, audit trail or legal shield after human productive participation has already collapsed.

HIDDEN ASSUMPTIONS

• Jobs will remain economically necessary even when their cognitive tasks are automated.
• Sector-specific regulators can enforce human-only boundaries against competitive cost pressure.
• Continuous workforce development can outrun AI capability gains.
• Human oversight will remain substantive rather than ceremonial.
• Transparency labels will preserve the value of human authorship.
• Employers will prioritize job quality over headcount reduction and margin expansion.
• AI governance can control deployment without addressing who owns and controls the productive systems.

These are not demonstrated conclusions. They are institutional hopes disguised as policy recommendations.

SOCIAL FUNCTION

Primarily ideological anesthetic and transition management, with elements of elite self-exoneration. The article reassures institutions that they can adopt the technology while retaining moral legitimacy: humans remain “at the centre,” responsibility is preserved, and displaced capabilities are recast as workforce development.

It contains a partial truth. Misuse, fraud, opacity and weak oversight are real risks. But those risks are administratively visible and therefore easier to discuss than ownership concentration, bargaining-power collapse and the destruction of the wage-to-consumption circuit. The article manages the symptoms while avoiding the disease.

THE VERDICT

This is a governance lullaby. It correctly demands rules for dangerous systems, but mistakes regulation for reversal. Under DT mechanics, governance can slow deployment, allocate liability and manage the wreckage. It cannot guarantee that human judgment remains economically central once AI is superior and institutions cannot preserve stable human-only domains at scale.

The article’s “co-pilot” is the respectable name for the transition phase: first AI assists, then it coordinates, then humans remain mainly as validators of decisions made elsewhere. The post-WWII employment circuit is not protected by asking the machine to stay in the passenger seat.