The Generative AI (GenAI) revolution has not ignored higher education, a whole host of tools are available now and more revolutionary tools are on the way.

Beginning with concern over the potential for plagiarism and cheating by way of the use of GenAI chatbots, higher education has paid attention to the development of this technology. Soon, educators came to realize that the depth and scope of the AI revolution was such that it would require some adaptation in the delivery modes, methods and pedagogies of classes. Given that GenAI is rapidly becoming a daily-use tool in the workplace, higher education needs to embrace the technology in teaching methods as well as content. Just as with the Internet, the personal computer and common office software that preceded the release of GenAI chatbots decades ago, graduates needed to be well versed in the operation and application of new technologies to be hired and function successfully in the workplace.  Once again, we need to adapt to society-wide technological changes.

Now, as GenAI develops and matures in business, industry, commerce, and society as a whole, it is becoming an integral part of the design, implementation and delivery of higher education as a whole. Let’s look at some of the applications that are developing that will advance higher education. 

A whole host of chatbot apps have been released that can be effectively used in the development, delivery and participation in higher education classes. With more than 35 million users, the most attention has been given to ChatGPT by OpenAI. Yet, there are many more apps such a Google Gemini, Perplexity AI, Claude by Anthropic, Pi by Inflection, and ones that effectively combine GenAI with Internet search such as CleeAI. All of these general applications have useful roles for enhancing teaching and learning in higher education.

Of course, the relationship between OpenAI and Khan Academy has resulted in a rather phenomenal online tutor named Khanmigo. The founder and CEO of Khan Academy, Sal Khan says “Generative AI can be a force for good in education. Khan Academy now has an educational AI chatbot, Khanmigo, which can guide students while still promoting critical thinking. Khan says developments like these could allow for every student to have a personal AI tutor and every teacher an AI teaching assistant. And Khan thinks incorporating AI in the classroom can allow for exciting new learning opportunities — with the right programming and guardrails.” With Khanmigo, the Khan Academy provides teachers with a tool with which “educators can easily tackle a wide range of duties, such as the following:

• Generating rubrics
• Developing quiz and exercise questions
• Crafting exit tickets
• Creating captivating lesson hooks tailored to student interests
• Supporting Individual Education Plan (IEP) development”

The tool is available to individuals and families at $4 per month or $44 a year, while teachers are provided free access and educational institutions and school districts can negotiate licenses.

Some of the apps that have been developed for general use can be customized for specific topical areas in higher ed. For example, I created a version of GPT,“Ray’s EduAI Advisor,” that builds onto the current GPT-4o version with specific updates and perspectives on AI in higher education.  It is freely available to users. With few tools and no knowledge of the programming involved, anyone can build their own GPT to supplement information for their classes or interest groups.

Professors in foreign languages at Arizona State University developed a GPT “Language Buddy” that “can interact with students based on the prompts given, and training the technology to be more human-like and to interact at an appropriate language level. Ideally, they would like Language Buddy to be able to have conversations with beginner-level students (based on course content), generate a transcript of the conversation and provide tailored feedback for the student.” 

Open AI has announced that it will soon release a wide-ranging application for higher education use. “ChatGPT Edu” will provide a wide range of new features as described in this response to an inquiry I posed to ChatGPT “What will this provide to higher education?” These features include customized tutoring, enhanced teaching tools with additional resource recommendations, and administrative support including assistance in tracking student progress, organizing schedules, and managing course materials. In addition, ChatGPT recognizes that there is speculation that it will additionally include:

• Adaptive Learning Systems: More advanced personalization features that adapt in real-time to student performance and engagement.
• Integration with Learning Management Systems (LMS): Seamless integration with popular LMS platforms for more cohesive educational experiences.
• Advanced Analytics: Enhanced data analytics for deeper insights into student learning patterns and outcomes.

OpenAI has not forgotten associations and other non-profits that may be associated with higher education by “offering nonprofits discounted access to premium versions of ChatGPT to make the chatbot more accessible with its OpenAI for Nonprofits initiative, offering nonprofits “discounted access to premium ChatGPT, providing a ChatGPT Team license for just $20 per user per month — a $10 discount.”

Just in case we need to remind ourselves of why those of us in higher education must begin to integrate GenAI into our teaching and learning, data are now emerging that indicate that students may be more likely to be considered for higher paying positions if they include experience with AI in their employment applications. A study by Nick Drydakis in the Oxford Economic Papers, recently reported:

It was found that university graduates with AI capital, obtained through an AI business module, experienced more invitations for job interviews than graduates without AI capital. Moreover, graduates with AI capital were invited to interviews for jobs that offered higher wages than those without AI capital. Furthermore, it was found that large firms exhibited a preference for job applicants with AI capital, resulting in increased interview invitations and opportunities for higher-paying positions. The outcomes hold for both men and women. The study concludes that AI capital might be rewarded in terms of employment prospects, especially in large firms.

Thus, through including experience in utilizing and understanding the potential of AI in their discipline, we may be able to assist our students in preparing for the changing workplace environment that awaits them.  Perhaps this summer affords us an opportunity to begin integrating GenAI into our fall semester offerings.

This article was originally published in Inside Higher Ed’s Transforming Teaching & Learning blog.

While there are isolated examples of wholesale layoffs among a few individual companies, the broad scale loss of jobs has not yet materialized. 

So far, the impact of Generative AI (GenAI) on the general workforce has been to enhance productivity rather than to reduce the overall number of jobs. Of course, we are barely into the beginning of the fourth industrial revolution.

In April of 2023, Goldman Sachs economists analyzed the potential impact of GenAI on the workforce:

Shifts in workflows triggered by these advances could expose the equivalent of 300 million full-time jobs to automation, Briggs and Kodnani write. Analyzing databases detailing the task content of over 900 occupations, our economists estimate that roughly two-thirds of U.S. occupations are exposed to some degree of automation by AI. They further estimate that, of those occupations that are exposed, roughly a quarter to as much as half of their workload could be replaced. But not all that automated work will translate into layoffs, the report says.

The Economist reported last June that “AI is not yet killing jobs.”  However, that doesn’t mean that significant job reductions may not be on the way:

In a recent paper Tyna Eloundou of OpenAI and colleagues say that ‘around 80% of the US workforce could have at least 10% of their work tasks affected by the introduction of LLMs’. Another paper suggests that legal services, accountancy and travel agencies will face unprecedented upheaval.

Using American data on employment by occupation, we single out white-collar workers. These include people working in everything from back-office support and financial operations to copy-writers. White-collar roles are thought to be especially vulnerable to generative ai, which is becoming ever better at logical reasoning and creativity. However, there is as yet little evidence of an ai hit to employment. In the spring of 2020 white-collar jobs rose as a share of the total, as many people in service occupations lost their job at the start of the covid-19 pandemic. The white-collar share is lower today, as leisure and hospitality have recovered. Yet in the past year the share of employment in professions supposedly at risk from generative ai has risen by half a percentage point.

The AIGrid podcast recently discussed why we have not seen major effects to this point, and what is restraining the implementation of GenAI bots and agents. Largely, government regulations generally do not include affordances for AI, rather the regulations are slow to revise and currently are human-centric. The purchase and installation of the enormous computing support for AI will take time. The infrastructure expenditures will be cost-effective, but only after time. The rollout of large-scale, broadly useful AI agent software is just about to begin. We can expect to see agent models become far more prevalent in the second half of this year and 2025. However, the sociological aspects of such changes are not to be minimized. Humans in many cases may prefer to work with and support other humans. Other market changes will need to take place in order to most efficiently employ AI agents, for example AI agents are less likely to be persuaded by Web marketing than are humans. In sum, while in some career paths and job classifications AI will be implemented very soon, in most areas, the current infrastructure and entrenched practices will take months and years to change in order to take full economic advantage of GenAI.

Yet leaders remain convinced that massive changes are on the way.  Kristalina Georgieva, the Managing director of the International Monetary Fund, says that “AI will hit the labor market like a tsunami, we have very little time to get people ready for it.” Speaking in Zurich Georgieva said “It could bring tremendous increase in productivity if we manage it well, but it can also lead to more misinformation and, of course, more inequality in our society,”

A wide-ranging poll of 2,000 executives earlier this year, conducted by staffing firm Adecco Group in collaboration with research firm Oxford Economics, showed that 41% of them expect to employ fewer people because of the technology. Anna Cooban of CNN reports:

The survey’s results provide another indication of the potential for AI and generative AI — which can create original text, images and other content in response to prompts from users — to revolutionize employment and the way people work. AI is emerging ‘as a great disruptor in the world of work,’ Denis Machuel, chief executive of Adecco Group, said in a statement. ‘Companies must do more to re-skill and redeploy teams to make the most of this technological leap and avoid unnecessary upheaval.’

Mary Daly, the CEO of the Federal Reserve Bank of San Francisco is quoted in an April issue of Wired, taking a more measured approach with the impacts and opportunities:

Technology has never reduced net employment over time for the country. If you look at technology over multiple centuries, what you see is that the impact lands somewhere in the middle, not necessarily dead-set in the middle, but somewhere in there, and where we end up depends a lot on how we engage with the technology. When I think of generative AI—or AI writ large—what I see is an opportunity. You can replace people, you can augment people, and you can create new opportunities for people. But you do have winners and losers. I came of age as an economist in the computerization era. That computer surge and the productivity that came with it clearly produced inequalities. AI in general, but especially generative AI, is an opportunity to assist those middle-skilled people in being more productive. But that’s our choice, and that requires a lot of thinking on our part.

The rollout of the largest number of AI replacements for employees will come with the robust development of AI agents that are developed with an inventory of the skills and specific task abilities that need to be addressed in a given position. For example, NVIDIA is developing AI-powered intelligent healthcare agents. These agents are being designed to cover many of the specific duties that are currently handled by human nurses. Such agents are under development at many companies for a vast array of jobs. Ken Yeung writes in Venture Beat that Microsoft says it will migrate the Khan Academy’s Khanmigo AI tutor bot to its Azure OpenAI Service, enabling them to provide all U.S. K-12 teachers free use of Khanmigo.

Agents are under development and testing around the world.  We can anticipate a steady stream of releases through the end of 2024 and into 2025. It will be important to monitor news of such releases that may be relevant to your job. The “tsunami” is still ahead of us. Recognizing that an average of one college or university is closing each week, we may see the implementation of agent-faculty and other academic professionals in order to reduce operating costs to stave off closures. Meanwhile, perhaps readers might use a real-time AI-powered search engine to monitor progress on the development of agents that can augment or replace their own positions.

This article was originally published in Inside Higher Ed’s Transforming Teaching & Learning blog.