AI adoption may be hampering future organizational growth
A new study titled “Borrowing from Tomorrow: How to Fight the Hype and Design the Future of Work on Purpose” warns that the rapid adoption of artificial intelligence could be undermining organizations’ long‑term growth by eroding essential human development opportunities. Surveying 173 senior decision‑makers, the report found that nearly half of leaders (49 %) admit their AI governance frameworks rarely or never consider a broad spectrum of human perspectives, experiences, and needs. Similar gaps appear in workflow redesign (47 %) and workforce restructuring (44 %), indicating that choices about automation, role redesign, and capability building are often made without intentional attention to how they shape the future organization.
The researchers describe this shortfall as a “human talent deficit,” the mismatch between the capabilities employees will need to generate future value and the development pathways their current operating models provide. When companies replace entry‑level tasks with AI, they may also remove the experiential steps through which workers acquire sound judgment and institutional knowledge. Automating processes or accelerating managerial decisions can similarly strip away learning moments that traditionally foster expertise. Consequently, organizations that rush to scale AI risk allowing their future structure to “emerge by default” rather than being deliberately crafted, a concern echoed by a Harris Poll for the University of Phoenix which found only 43 % of HR leaders confident that employees possess the skills required for an automated workplace, and fewer than half believe managers can effectively identify and address skill gaps.
The report urges leaders to first understand existing processes before automating them, ensuring that workflow redesign intentionally creates pathways for skill development and career advancement. Emily Gawlak, lead researcher and executive director of CTI’s Global Lab, emphasizes that the myriad decisions about what to automate and how to reshape roles are shaping the next generation of organizations, and that purposeful design is essential to avoid unintended talent erosion. As AI implementation accelerates, the findings suggest that companies must balance efficiency gains with deliberate investment in human capital, lest they compromise the very expertise and institutional memory needed to sustain long‑term innovation and competitiveness.
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