AI to reshape jobs, not eliminate entire professions, says consultant - Kuwait Times

TEXT START: Artificial intelligence is more likely to reshape jobs than eliminate entire professions, but businesses that use the technology mainly to reduce their workforce risk losing institutional expertise and weakening the pipeline through which younger employees develop into experienced professionals, business and technology consultant Abdulilah Annous said.

THE DISSECTION

The article is a competent adoption memo disguised as a defense of employment. It correctly explains that AI attacks tasks first, exposes the danger to entry-level training, and identifies real implementation failures: bad data, inefficient processes, weak verification, and undefined human approval. Its deeper function is transition management—making labor displacement sound like organizational redesign, redeployment, and skills policy.

It also accidentally reveals the kill mechanism. Junior workers learn through routine tasks; AI removes routine tasks; the professional ladder loses its bottom rungs. The article’s forecast of managers supervising dozens of specialized agents points toward the same conclusion: professions may retain their titles while requiring far fewer humans.

THE CORE FALLACY

The central error is treating task transformation as evidence of employment preservation. A job is a bundle of tasks, but removing three tasks can eliminate the need for most of the bundle. The remaining tasks may become more valuable per worker without becoming numerous enough to employ the displaced workforce.

Human accountability is not the same as human labor demand. A doctor may remain legally responsible for an AI-assisted diagnosis while AI reduces the number of doctors, technicians, analysts, or junior staff needed to produce the service. Verification can become scarce, but scarcity does not guarantee mass employment; one expert with powerful systems can verify the output of many automated processes.

The instruction to pursue productivity before job cuts is also institutionally polite but structurally weak. Under competitive pressure, firms that preserve surplus labor indefinitely lose to firms that do not. Management can influence the timing and distribution of displacement. It cannot abolish the competitive incentive to reduce labor input once AI is cheaper and capable enough.

HIDDEN ASSUMPTIONS

• AI will remain mainly assistive rather than becoming a reliable agentic production layer.
• Human approval and professional accountability will require historical staffing ratios.
• Automated tasks will generate enough new human tasks and roles to absorb displaced workers.
• Productivity gains will be shared through wages, retraining, or redeployment rather than captured by owners of AI capital.
• Companies can rebuild entry-level training after eliminating the routine work that financed it.
• Arabic-language limitations, physical complexity, trust, and regulation are durable employment moats rather than temporary lags.
• Kuwait’s public sector can redeploy administrative labor into genuinely necessary analytical and service roles at scale.
• Better policy and management can determine inequality independently of ownership and competitive mechanics.
• Building local AI infrastructure creates broad employment rather than a narrow Sovereign and Servitor class.

SOCIAL FUNCTION

Primary classification: partial truth serving transition management and ideological anesthesia.

The article is not pure propaganda. Its warnings about hollowed-out apprenticeships, surveillance, verification, privacy, and careless deployment are materially valid. But its framing allows institutions to acknowledge automation while postponing the harder question: how many humans remain economically necessary after the system can coordinate and execute the work itself?

“Automate the task before eliminating the person” is humane management advice, not a structural solution. It may soften the transition, preserve expertise temporarily, and delay social death. It does not restore the mass employment-to-consumption circuit.

THE VERDICT

The article correctly describes the early phase and mistakes it for the destination. Under P1, AI gains durable superiority across cognitive tasks; under P2, institutions cannot preserve human-only domains at competitive scale; under P3, the majority lose access to economically necessary labor. Entire professions may survive as legal, cultural, or branding shells while their human employment base collapses.

Kuwait’s public-sector employment, Arabic-language gaps, regulation, and local infrastructure ambitions are lag defenses and potential ownership niches. They can create Sovereigns, Servitors, and transition intermediaries. They cannot reverse the terminal logic. The article is a useful operating memo for managing the carcass, but its headline is false comfort: AI need not eliminate professions to eliminate the people those professions once employed.