Negros lawmaker pushes AI regulation to protect workers | Daily Guardian

TEXT START: BACOLOD CITY — Negros Occidental 3rd District Rep. Javier Miguel Benitez called for a Philippine artificial intelligence policy that promotes innovation while protecting workers, particularly those in the creative economy.

The Dissection

The article packages AI acceleration as both inevitable progress and a governable risk. Its political function is to reassure workers that regulation, literacy, and reskilling can preserve their place inside the economy while Congress authorizes further adoption.

The proposed AI Bill of Rights may constrain unsafe systems, discrimination, opaque decisions, and abusive data collection. Those are legitimate protections against specific harms. But the article quietly shifts the central question from whether workers remain economically necessary to whether AI is deployed responsibly. That is a smaller question dressed as a solution to a structural rupture.

The Core Fallacy

The article treats regulation and worker proficiency as mechanisms for preserving mass employment. Under the Discontinuity Thesis, they are not. Regulation can govern how AI displaces labor; it cannot force firms to retain labor that AI makes less productive, slower, or more expensive.

The cited projection of a net global job increase is an aggregate statistic, not proof of individual viability. New jobs can be fewer in accessible locations, require radically different capabilities, or accrue to owners of AI infrastructure rather than displaced workers. “Upskilling” is presented as if the majority can migrate into the new productive core. That is an assumption, not an economic mechanism.

The article also confuses human control over decisions with human control over production. A human may remain legally accountable while AI systems perform the underlying cognitive work. The signature survives; the bargaining power does not.

Hidden Assumptions

• Firms will prefer augmentation over replacement even when replacement is cheaper and operationally superior.
• Workers can transition into newly created roles at the speed and scale required.
• Displaced workers possess, or can cheaply acquire, skills that remain scarce after AI improves.
• A Philippine law can meaningfully constrain global technology companies and internationally mobile capital.
• Flexible regulation will remain ahead of rapidly evolving systems rather than becoming ceremonial paperwork.
• AI proficiency will create broad worker leverage instead of making each worker more interchangeable with AI-assisted labor.
• Aggregate job creation will benefit the same people, regions, and classes that absorb displacement.
• Rights to notice, privacy, and remedy can compensate for the loss of wage bargaining power.
• Creative work remains protected by human judgment when generative systems can produce acceptable substitutes at scale.

These assumptions conceal the ownership problem. The article discusses who may use AI, but not who owns the models, compute, data, energy, platforms, and distribution channels. That omission is the central political fact.

Social Function

Primary classification: transition management and ideological anesthetic, with a partial truth component.

The partial truth is that regulation can reduce abuse, preserve due process, and delay the most socially destructive deployments. The anesthetic is the claim that literacy, reskilling, and “responsible adoption” preserve the postwar wage-to-consumption circuit. They may improve some individuals’ positioning during the transition. They do not restore mass productive participation once cognitive automation becomes cheaper and more capable across occupations.

The framing also provides elite self-exoneration: the state can appear to protect workers while leaving the ownership structure untouched. Workers are told to become proficient in the tool that may eliminate their bargaining position. The burden of adaptation is transferred downward; the gains remain structurally concentrated upward.

The Verdict

This is not a plan to prevent obsolescence. It is a plan to regulate the symptoms, soften the political shock, and keep AI deployment socially acceptable.

The proposed law may create useful guardrails and temporary lag. It cannot defeat the three decisive mechanics: cognitive automation dominance, institutional inability to preserve human-only economic domains, and the collapse of productive participation. It is transition management around a machine whose ownership remains elsewhere. Under the Discontinuity Thesis, the workers most likely to survive are those who become indispensable servitors to AI capital, acquire control over AI capital, or intermediate the disorder created by its expansion. The majority are being prepared to comply with displacement, not escape it.