1. World problems
  2. Worker maladjustment to technology

Worker maladjustment to technology

Nature

When workers with traditional skills are faced with highly advanced machinery and equipment as working partners, they find difficulty, when required, in overriding machine operation, or decisions. The workers feel diminished, feel that responsibilities are removed from them, and that machines set an intolerable pace independent of human decision-making. Employers do not know what skills are required in automated and semi-automated operations for workers, often do not hire the right people, and usually provide training inadequate to instil a sense of security and competence in those that are involved in the man-machine interface. There is both a human and a financial cost to such worker maladjustment.

Background

Worker maladjustment to technology emerged as a recognized global concern during the late 20th century, as rapid automation and digitalization began disrupting traditional labor patterns. Initial attention arose in industrialized nations, where rising reports of job displacement, skill gaps, and psychological stress highlighted the issue. Subsequent international studies and policy debates have underscored its persistence, particularly as technological change accelerates, affecting diverse sectors and economies worldwide. (https://www.ilo.org/global/about-the-ilo/newsroom/news/WCMS_007995/lang--en/index.htm)This information has been generated by artificial intelligence.

Incidence

Worker maladjustment to technology is a growing concern across both developed and developing economies, as rapid digitalization and automation outpace workforce adaptation. Surveys by the International Labour Organization indicate that millions of workers globally experience job displacement, skill mismatches, and psychological stress due to insufficient training or support in adopting new technologies. This phenomenon affects diverse sectors, from manufacturing to services, and disproportionately impacts older employees and those in low- and middle-income countries.
In 2023, a major automotive plant in Stuttgart, Germany, reported significant productivity losses and increased absenteeism after introducing advanced robotics. Workers struggled to adapt, citing inadequate training and heightened job insecurity.
This information has been generated by artificial intelligence.

Claim

Worker maladjustment to technology is a critical and urgent problem that cannot be ignored. As workplaces rapidly digitize, employees who struggle to adapt are left behind, fueling stress, job insecurity, and widening inequality. This not only undermines productivity but also erodes morale and organizational cohesion. Failing to address this issue risks creating a divided workforce and stalling progress. Immediate, comprehensive support for worker adaptation is absolutely essential for a fair and successful future.This information has been generated by artificial intelligence.

Counter-claim

Concerns about worker maladjustment to technology are vastly overstated. Throughout history, workers have consistently adapted to new tools and systems, often thriving as a result. Modern technology is designed to be user-friendly, and training resources are widely available. Focusing on this so-called “problem” distracts from real workplace issues. Instead of fearing change, we should embrace technological progress as an opportunity for growth, efficiency, and improved job satisfaction.This information has been generated by artificial intelligence.

Broader

Narrower

Aggravates

Underproductivity
Unpresentable

Aggravated by

Strategy

Value

Maladjustment
Yet to rate

SDG

Sustainable Development Goal #3: Good Health and Well-beingSustainable Development Goal #8: Decent Work and Economic GrowthSustainable Development Goal #9: Industry, Innovation and Infrastructure

Metadata

Database
World problems
Type
(C) Cross-sectoral problems
Biological classification
N/A
Subject
  • Health care » Handicapped
  • Social activity » Workers
  • Technology » Technology
  • Content quality
    Presentable
     Presentable
    Language
    English
    1A4N
    C7041
    DOCID
    11370410
    D7NID
    154906
    Editing link
    Official link
    Last update
    Oct 4, 2020