Bridging the AI Adoption Gap in the Workplace: A Human-Centered Roadmap for Ethical and Effective Integration

Despite the rapid growth in the number of Artificial Intelligence (AI) consumer products, our current landscape lacks enterprise tools that show meaningful AI adoption. This is one of the gaps that limits the transformational potential that AI possesses to improve productivity and employee experience. While most of the organizations heavily invest in AI strategies and solutions, internal adoption often stalls due to legacy systems, insufficient change management and misalignment of technical capabilities and consumer need. This article explores causes of this gap and examines how it can be strategically bridged. It needs to happen through human centric designs, cross -functional collaboration and iterative implementation. By analyzing current barriers and emerging trends, I propose a practical roadmap for integration AI into employee tools in an ethical, inclusive and outcome -oriented way. Bridging the gap is not only a technical challenge, but also a leadership imperative.

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Publication Details

Journal
International Journal of Science and Research (IJSR)
Published
2025-04-19
DOI
https://doi.org/10.21275/sr25414103338
Primary Topic
Ethics and Social Impacts of AI
Type
article
Field-Weighted Citation Impact
0.00
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article

Bridging the AI Adoption Gap in the Workplace: A Human-Centered Roadmap for Ethical and Effective Integration

Sukriti Bharti
International Journal of Science and Research (IJSR)
Ethics and Social Impacts of AI
article

Bridging the AI Adoption Gap in the Workplace: A Human-Centered Roadmap for Ethical and Effective Integration

Sukriti Bharti
article en

Abstract

Despite the rapid growth in the number of Artificial Intelligence (AI) consumer products, our current landscape lacks enterprise tools that show meaningful AI adoption. This is one of the gaps that limits the transformational potential that AI possesses to improve productivity and employee experience. While most of the organizations heavily invest in AI strategies and solutions, internal adoption often stalls due to legacy systems, insufficient change management and misalignment of technical capabilities and consumer need. This article explores causes of this gap and examines how it can be strategically bridged. It needs to happen through human centric designs, cross -functional collaboration and iterative implementation. By analyzing current barriers and emerging trends, I propose a practical roadmap for integration AI into employee tools in an ethical, inclusive and outcome -oriented way. Bridging the gap is not only a technical challenge, but also a leadership imperative.

International Journal of Science and Research (IJSR)Vol. 14(4)
San Jose State University (US)
Gender equality
Openalex Percentile: Top 93%
Ethics and Social Impacts of AI
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