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The rapid advent of AI capabilities, coupled with the developing economic pressures worldwide, have led to a surge in employers seeking to reduce operating expenses through widespread use of generative and agentic AI to augment, and in some cases, replace, humans in their workforce. This follows last year’s warning from the World Economic Forum that said, “AI skills are becoming more important than job experience.”
The World Economic Forum report goes on to cite the 2024 Work Trend Index Annual Report, which draws on a survey of 31,000 people across 31 countries, hiring trends from LinkedIn, Microsoft 365 productivity data and research with Fortune 500 companies: “Over the past eight years, hiring for technical AI roles was up 323%, and businesses are now turning to non-technical talent with the skills to apply generative AI tools like ChatGPT and Copilot. Two-thirds of business leaders surveyed say they wouldn’t hire a candidate without AI skills. Nearly three-quarters said they would rather hire a less experienced candidate with AI skills than a more experienced candidate without them.”
Writing in The Chronicle of Higher Education, Beth McMurtrie defines AI literacy: “The term AI literacy can feel squishy. But the definitions circulating among campus working groups, disciplinary associations, and other organizations share several key components. To be AI literate, they agree, you must understand how generative AI works, be able to use it effectively, know how to evaluate its output, and understand its weaknesses and dangers. For AI skeptics, that last point is crucial. Too many workshops stop short, they say, focusing only on how to use AI tools.”
In a survey conducted last November, Educause reported only 37 percent of institutions were supporting needed AI abilities by “upskilling or reskilling” faculty or staff, and just 1 percent reported hiring new AI staff. A larger percentage of faculty and staff were addressing related academic integrity and assessment issues. The Educause AI Landscape Study reported,
“Respondents from smaller institutions are remarkably similar to respondents from larger institutions in their personal use of AI tools, their motivations for institutional use of AI, and their expectations and optimism about the future of AI.
“Respondents from small and larger institutions differ notably, however, in the resources, capabilities, and practices they’re able to marshal for AI adoption.”
These responses from as recently as the end of last semester show that the majority of institutions are lagging behind in preparing themselves and their graduates and certificate completers for the rapid changes that are expected to take place in workplaces around the world over the coming months. Yet, as reported in Government Technology, new laws creating frameworks in California and the European Union are leading the way in ensuring learners are well prepared for the emerging workplace:
“Under California’s new law, AI literacy education must include understanding how AI systems are developed and trained, their potential impacts on privacy and security, and the social and ethical implications of AI use. The EU goes further, requiring companies that produce AI products to train applicable staff to have the ‘skills, knowledge and understanding that allow providers, deployers and affected persons … to make an informed deployment of AI systems, as well as to gain awareness about the opportunities and risks of AI and possible harm it can cause.’ Both frameworks emphasize that AI literacy isn’t just technical knowledge but about developing critical thinking skills to evaluate AI’s appropriate use in different contexts.”
The American Library Association has taken a leading role in developing a draft document, “AI Competencies for Academic Library Workers,” that is currently under review based upon recommendations made by constituencies in recent weeks. The document includes two sections: “dispositions (tendencies to act or think in a particular way) and competencies (skills, knowledge, behaviors, and abilities). Dispositions are presented as a single list. Competencies are organized into four categories: Knowledge & Understanding; Analysis & Evaluation; Use & Application; and Ethical Considerations.”
In a project backed by a $1 million grant from Google, Government Technology reports that the City University of New York is supporting 75 faculty members to develop teaching methods that support best practices in utilizing AI in higher education. The report goes on to say,
“Such initiatives are spreading rapidly across higher education. The University of Florida aims to integrate AI into every undergraduate major and graduate program. Barnard College has created a ‘pyramid’ approach that gradually builds students’ AI literacy from basic understanding to advanced applications. At Colby College, a private liberal arts college in Maine, students are beefing up their literacy with the use of a custom portal that lets them test and compare different chatbots. Around 100 universities and community colleges have launched AI credentials, according to research from the Center for Security and Emerging Technology, with degree conferrals in AI-related fields increasing 120 percent since 2011.”
These initiatives are exemplars of a variety of approaches that institutions might consider to respond to the urgent need to prepare learners for the workplace that is so rapidly emerging. Yet, now, as we move into the final weeks of the spring semester, it still appears that many, if not most, of the institutions of higher learning are failing their students. We are failing to fully prepare those students to enter the workforce where, as the World Economic Forum says, two-thirds of business leaders surveyed say they wouldn’t hire a candidate without AI skills and nearly three-quarters said they would rather hire a less experienced candidate with AI skills than a more experienced candidate without them.
What is your institution doing to meet this urgent need? Who is leading a universitywide initiative to meet this need? Will your spring graduates and certificate completers be able to compete with others who have credentials that include knowledge and competencies in AI?
