Nexus Institute for Work and AI: Research Deep Dive

Modern organizations increasingly rely on algorithmic management software to direct, monitor, and evaluate employees, creating significant legal exposure and governance challenges. Regulatory bodies have responded aggressively to these automated practices, highlighted by a massive Dutch data protect...

Shadow AI occurs when employees rapidly adopt unapproved generative technologies to boost daily productivity, driven by a lack of official tools and clear communication. This hidden experimentation creates severe organizational risks, including data exposure, security vulnerabilities, and higher bre...

Organizations frequently deploy artificial intelligence with a productivity-first approach that focuses strictly on maximizing output and reducing headcount, which often leads to employee fear, hidden usage, and stagnant adoption. Field research demonstrates that framing artificial intelligence inst...

This research examines how artificial intelligence adoption generates widespread workplace anxiety about job and occupation obsolescence, ultimately undermining employee conduct and organizational commitment. Research demonstrates that the fear of technological replacement triggers moral disengageme...

The AI dividend gap describes the uneven distribution of generative artificial intelligence benefits in the workplace, where advantages flow primarily to college graduates, managers, and knowledge workers rather than frontline staff. Although research demonstrates that novices and lower-skilled empl...

The modern recruitment landscape is experiencing an arms race as generative artificial intelligence floods employers with an overwhelming volume of polished applications while simultaneously fueling rising candidate fraud. This widespread technological adoption has diminished traditional application...

This research investigates the growing threat of deepfake executive impersonation, wherein bad actors leverage generative artificial intelligence to convincingly clone the voices and appearances of corporate leaders. It emphasizes that the core vulnerability is hierarchical and cultural rather than ...

Generative artificial intelligence has quietly permeated workplace performance evaluations, as a vast majority of corporate managers utilize these tools while keeping employees largely unaware. This undisclosed ghostwriting creates a critical trust deficit, threatening organizational justice, exacer...

Generative artificial intelligence is frequently advertised as a tool that returns hours to employees, but empirical evidence reveals that these efficiency gains rarely translate into meaningful relaxation or slack. Instead, organizations and workers quickly absorb the saved minutes into expanded ta...

Employer demand for artificial intelligence capabilities is rapidly evolving from basic prompting toward hands-on tool construction and workflow automation. Although a vast majority of employees recognize the specific competencies they need to succeed in this changing landscape, a persistent support...