The QA Commons is mindful of the dramatic and transformational impact COVID-19 is having on all institutions of higher education. As an organization, we are adapting our services to support preparing graduates for the workplace that is now changing more precipitously than ever.
As AI becomes embedded in daily work, tasks are being reorganized—compressing routine, entry-level functions and placing greater value on judgment, problem solving, adaptability, and human–AI collaboration. Organizations are redesigning workflows around intelligent systems, elevating strengths like oversight, communication, and ethical decision-making. The implication for education is clear: preparing students for AI-enabled workplaces requires not just technical skills, but fluency in working thoughtfully alongside intelligent tools.
This May 2026 report from Strada Institute for the Future of Work provides early evidence that AI may be raising — rather than lowering — expectations for entry-level employees. Employers report that as routine tasks become automated, entry-level work is shifting toward more analytical, judgment-based, and communication-intensive responsibilities. The findings reinforce the growing importance of employability skills such as critical thinking, collaboration, adaptability, and workplace readiness in AI-enabled workplaces.
This April 2026 article from Human Resource Director America highlights a shift in how organizations are approaching workforce development in the age of AI. Rather than focusing solely on tools, prompting, and automation, PwC pairs technical AI capabilities with human skills such as critical thinking, communication, curiosity, and storytelling, embedding that development directly into day-to-day work. As AI absorbs more routine, entry-level tasks, the ability to interpret, communicate, and apply AI-generated outputs is becoming increasingly important—especially for early-career workers.
Deloitte’s January 2026 global survey of more than 3,200 leaders finds that while AI adoption is accelerating, most organizations have not yet redesigned jobs, talent strategies, or career pathways to reflect AI-enabled work. The report underscores a growing need for AI fluency, stronger governance, and intentional work redesign — highlighting that human judgment, adaptability, and oversight remain critical as automation expands.
This November 2025 report by McKinsey & Company examines how AI is reshaping work not by replacing people wholesale, but by reorganizing it into partnerships between people, intelligent agents, and robots. While more than half of current work hours are technically automatable, most human skills will endure — applied differently — with growing demand for AI fluency, judgment, problem solving, and social capabilities. The real opportunity lies in redesigning workflows around human-AI collaboration, which could unlock significant economic value if organizations invest in skill development alongside technology.
An August 2025 ADP Research analysis found that while overall employment in AI-exposed occupations has grown, jobs for early-career workers (ages 22–25) have declined significantly since the release of generative AI tools, particularly in software development and customer service. The evidence suggests that AI is compressing routine, entry-level tasks that traditionally served as training grounds for young workers, while augmenting more complex, judgment-based work typically performed by experienced employees.
According to this January 2025 report by McKinsey & Company, artificial intelligence has the potential to transform work as profoundly as the steam engine transformed industry. Yet the biggest barrier to realizing its value is not technology — or even employee readiness — but leadership alignment and the ability to adapt organizational systems. As AI becomes embedded in daily work, employability will increasingly hinge not on technical mastery alone, but on judgment: knowing when to use AI, evaluating its outputs, recognizing risk, and contributing responsibly to shared outcomes.
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