D2L Survey Reveals How AI is Beginning to Reshape Entry-Level Work and the Talent Pipeline
Results find AI is associated with rising productivity expectations and changes to early career tasks, and exposing gaps in workforce training
D2L's annual report on the future of work and skills development surveyed human resources and talent acquisition decision-makers in
HR leaders surveyed report that while entry-level hiring is not disappearing entirely, AI is beginning to influence the work traditionally assigned to early career professionals and increasing expectations for what entry-level workers can produce from day one. As organizations trade long-term talent development for short-term efficiency, they may risk weakening the talent pipeline that generates the on-the-job learning and experience needed for early career professionals to become future subject-matter experts and leaders.
The respondents surveyed reveal:
- 30% of respondents say their organization's talent acquisition strategy is shifting towards hiring fewer entry-level workers in favor of mid-level talent using AI to complete those same tasks.
- 56% say they are seeing a reduction in the number of basic tasks being delegated to early career professionals due to GenAI.
- Among organizations planning a decrease (12%) in entry-level hiring in the next 24 months, 56% cite AI-driven automation of tasks as the primary driver, ahead of budget constraints (32%) and internal restructuring (28%).
- 48% say AI is increasing productivity expectations for entry-level roles, even when hiring levels are not changing.
- 58% of respondents express concern that reducing entry-level roles due to AI could contribute to a shortage of qualified senior leaders within five years.
- 74% say they do not yet have active upskilling or employee development programs in place to replace the on-the-job learning being lost to AI automation.
- HR leaders surveyed report perceiving relative declines in problem solving (75%), interpersonal (76%), and communication skills (78%) among recent entry-level hires compared to cohorts 3-5 years ago.
"The risk isn't simply that AI changes aspects of entry-level hiring. It's that it may reduce some of the foundational on-the-job learning that comes with the cognitive struggle and tasks inherent in entry-level work that people need to grow into experienced subject matter experts and future leaders," said
The report recommends that employers respond by investing in structured learning programs, internal apprenticeships and rotational opportunities, AI-enabled training simulations, and skills-based hiring practices that prioritize critical thinking, communication, and AI literacy. It also highlights several opportunities for higher education leaders to better prepare graduates for the AI-enabled workplace.
"Organizations are at an inflection point. AI is accelerating productivity, but it's also disrupting the developmental pathways that have historically built expertise. Without intentional investment in learning, companies risk creating a long-term leadership gap," said
Read the full report, The Future of Work and Learning: GenAI Impact on Entry-Level Work , to explore all findings and recommendations.
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