{"id":764,"date":"2026-02-17T15:15:29","date_gmt":"2026-02-17T14:15:29","guid":{"rendered":"https:\/\/ianunai.com\/when-artificial-and-human-intelligence-meet\/"},"modified":"2026-02-17T15:29:43","modified_gmt":"2026-02-17T14:29:43","slug":"when-artificial-and-human-intelligence-meet","status":"publish","type":"post","link":"https:\/\/ianunai.com\/en\/when-artificial-and-human-intelligence-meet\/","title":{"rendered":"When artificial and human intelligence meet"},"content":{"rendered":"\n

AI is changing the way we work. But not always in the way we imagine. <\/p>\n\n

In many contexts, it boosts productivity<\/strong>, speeds up processes, and simplifies complex activities. It automates repetitive tasks, supports decision-making, and enables organizations to operate with greater speed and precision. <\/p>\n\n

At the same time, however, the number of tasks<\/strong> to manage, the required speed<\/strong>, and the cognitive load <\/strong>on people are all increasing.<\/p>\n\n

It\u2019s an increasingly evident paradox: technology that helps, and work that intensifies.<\/p>\n\n

The impact of AI on corporate productivity<\/h2>\n\n

In recent years, the introduction of artificial intelligence into organizational settings has delivered tangible benefits.<\/p>\n\n

This has transformed the very concept of performance<\/strong>: it is no longer tied only to the amount of work completed, but to the ability to manage complexity and speed.<\/p>\n\n

However, increased productivity does not automatically translate into better working conditions.<\/p>\n\n

The paradox of technology: less operational effort, greater mental load<\/h2>\n\n

While AI reduces manual effort<\/strong> on the one hand, it increases the density of work<\/strong> on the other.<\/p>\n\n

People must adapt to new tools, make decisions more quickly, manage continuous flows of information, and coordinate with increasingly pervasive digital systems.<\/p>\n\n

This creates a form of cognitive stress<\/strong> that isn\u2019t always visible, yet deeply affects the quality of work. The mind is constantly active, exposed to stimuli, notifications, data, and demands for immediate responses. <\/p>\n\n

The risk isn\u2019t limited to burnout<\/strong>. Over the medium term, reduced attention<\/strong>, information overload<\/strong>, and difficulty maintaining clear decision-making<\/strong> can emerge. Continuous learning\u2014now essential\u2014also contributes to increasing the density of work. <\/p>\n\n

Source: HBR<\/a><\/p>\n\n

Designing sustainable organizations in the age of AI<\/h2>\n\n

The real challenge is designing organizations where performance remains sustainable <\/strong>even as everything accelerates.<\/p>\n\n

Integrating AI requires a shift in perspective: it means understanding the human impact<\/strong> of new tools, monitoring cognitive load, and observing how people<\/strong>\u2019s day-to-day experience is changing.<\/p>\n\n

Technology becomes a true competitive advantage when it is designed around human work rather than simply layered on top of it.<\/p>\n\n

Skills and adaptation: the real capital of the future<\/h2>\n\n

The future of work will require people who can evolve alongside<\/strong> organizations, not just technology.<\/p>\n\n

Among the most relevant skills <\/strong>are:<\/p>\n\n