How has societies dependency on technologies impact the older generation

The claim that technology’s cognitive and emotional consequences for older adults are “mixed” downplays systematic harms and rests on an overly neutral reading of the evidence. Arguing against the “mixed” label means emphasizing that, in practice, technology more often produces net harm for a large and vulnerable subset of older adults for the following reasons: 1. Distributional reality: Benefits accrue mainly to those who already have education, prior tech exposure, income, and social support. Many older adults—especially low-income, rural, less-educated, cognitively impaired, or socially isolated individuals—face persistent barriers (lack of devices, connectivity, training). For them, technology functions less as cognitive stimulation and more as exclusionary infrastructure that reduces access to services, social contact, and autonomy (Anderson & Perrin, 2017; Choi & DiNitto, 2013). 2. Structural dependence and forced adoption: As health care, banking, government services, and family communication move online, older people are often compelled to use technology to meet basic needs. This coercive shift converts occasional frustration into chronic stress and practical disadvantage. When a tool is required rather than elective, the costs of poor usability and low digital literacy become harms, not neutral trade-offs (Berkowsky et al., 2018). 3. Emotional harm outweighs cognitive gains for many: While learning can stimulate cognition for some, the emotional toll of repeated failures, privacy fears, and social comparison often produces anxiety, learned helplessness, and withdrawal. These emotional harms have direct negative consequences for well‑being, sometimes eclipsing modest cognitive stimulation that occurs in controlled learning settings (Tsai et al., 2015). 4. Economic and health risks compound harms: Automation can eliminate familiar work and income sources, and telemedicine or remote monitoring—while useful—can displace in-person care and introduce privacy/security risks. These material effects exacerbate stress and vulnerability, making technology a net harm when viewed holistically for many older adults (Autor, 2015; Berkowsky et al., 2018). 5. Policy and design responses are slow and incomplete: Although interventions (training, inclusive design, subsidized access) exist, they are unevenly implemented. Until systemic redesign and policy measures are widespread, characterizing outcomes as “mixed” risks complacency and obscures the urgent need to protect those being harmed now. Conclusion: Calling the effects “mixed” is factually defensible only if one averages across heterogeneous experiences. But for a substantial and vulnerable portion of the older population, technological dependency creates disproportionate cognitive, emotional, economic, and practical harms. The label “mixed” understates the severity and distributional injustice of these harms and can lull policymakers into inadequate responses. For ethical and policy clarity, we should acknowledge that technology’s impact on many older adults is predominantly harmful unless and until structural supports and inclusive design are systematically implemented. References (selected): Anderson & Perrin (2017); Choi & DiNitto (2013); Tsai et al. (2015); Berkowsky et al. (2018); Autor (2015).