Should workers' personalities factor into AI training? | Canadian HR Reporter

TEXT START: ‘People who naturally enjoy exploring tend to adopt AI more quickly in their daily work’

The Dissection

This article reduces a structural labor shock to an HR adoption problem. It recasts workers as personality profiles—curious adopters, disciplined governors, fearful skeptics—and presents training, manager role-modelling, and psychological support as the control system.

The real function is normalization. The reported rise in AI use is treated as an organizational capability gap rather than evidence that firms are building the machinery to require fewer human workers. Even the warning about job insecurity is domesticated into a training and burnout issue. The article teaches institutions how to make automation socially absorbable.

The Core Fallacy

It confuses successful AI adoption with continued human economic viability.

Under the Discontinuity Thesis, personality may affect who adopts AI first, who tests its limits, and who helps govern it. It does not change the underlying direction: once AI performs cognitive work more cheaply and effectively, firms face pressure to reduce dependence on labor. The curious employee becomes an early automation vector; the conscientious employee becomes a quality-control layer; the manager becomes a distribution mechanism. None of these roles restores bargaining power or productive necessity.

Training can improve worker adaptation. It cannot preserve the mass employment–wage–consumption circuit after cognitive automation severs it.

Hidden Assumptions

• Adoption produces productivity gains that will be shared with workers rather than converted into headcount reduction, wage suppression, or tighter control.
• Managers will remain durable intermediaries instead of becoming another automatable coordination layer.
• Governance, ethics, and compliance can restrain competitive deployment once automation delivers a cost advantage.
• Personality assessments can predict AI behavior without becoming discriminatory sorting tools.
• Job anxiety is mainly a psychological obstacle that training can relieve, rather than an accurate perception of material displacement.
• More work outside the office means autonomy and flexibility, not intensified monitoring, fragmented work, or the hollowing-out of office-based roles.
• Raising adoption across all employees improves their individual position. In reality, it may simply make their replacement easier.
• Regulatory and labor-market differences can materially alter the transition rather than merely delay it.

Social Function

Primarily transition management, reinforced by partial truth and ideological anesthetic.

The findings about personality and adoption may be operationally real. Their ideological use is to relocate responsibility from capital allocation and labor displacement onto worker attitudes. The worker is told to become curious, adaptable, and psychologically prepared while ownership captures the productivity gain. Fear is treated as a training variable because acknowledging its structural basis would expose the actual conflict.

The Verdict

This is an HR field manual for making obsolescence orderly. It correctly identifies who will help deploy AI, but mistakes deployment competence for survival. The article does not stop automation; it improves the institution’s ability to administer the transition while disguising the destruction of productive participation as a personality-and-training challenge.