2026· International journal for advanced research in science & technology· Vol 15, pp. 35-42· 1 citation
TL;DR
This study leads to a holistic picture of how the partnership between Human and AI is taking shape, proposing five different collaboration paradigms, a Dynamic Augmentation (DAM) and a set of strategic implications for workers, organisations and policy makers.
Abstract
Artificial Intelligence (AI) has quickly merged into the professional world, altering the way where people work more than ever before. This research paper delves into the poly-faceted dimensions of Human-AI: challenging the ways in which 'intelligent systems' are revolutionizing job positions, skills, and organizational structures all over the world. This study, using a mixed methods design with a survey of 1200 professionals from 8 different industries, secondary data from 45 published studies and a structured interview survey with 60 senior executives, leads to a holistic picture of how the partnership between Human and AI is taking shape. Insights show that 73 percent of the organizations surveyed report finding productivity increases of over 25 percent with the use of AI, while 61 percent of employees are worried about job skills becoming obsolete due to AI. It concludes by proposing five different collaboration paradigms, a Dynamic Augmentation (DAM) and a set of strategic implications for workers, organisations and policy makers. Caution defeatist tales of displacement, evidence suggests a complementarising view of AI: when co-designed with governance, training ecosystems and ethical frameworks, AI helps to complement the capabilities of humans instead.
The paper proposes the CYCLE framework, which translates the framework into a practical operating model for L&D, including team simulations, decision-trace practices, peer challenge, AI debriefs, and measures of transfer at team level.
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