“The world’s most important and transformative technology will be Ai. It is going to be everything. It’s going to change every industry, every country, every company. Ai is going to be the most powerful tool that mankind has ever invented… And we’re just at the beginning of this journey.” -via Jensen Huang, CEO of Nvidia
The rapid acceleration of artificial intelligence (Ai) is reshaping and transforming a myriad of different sectors, with education poised to undergo one of its most profound shifts. Meaning that education is no exception and will not be spared the disruptive possibilities accompanying this advancing technology. While Ai’s potential to revolutionize industries is increasingly recognized, its integration into education—particularly the advent of agentic Ai—poses unique challenges and opportunities. Agentic Ai systems, characterized by their ability to make autonomous decisions, adapt to user needs, and engage with humans in increasingly human-like ways, will offer promising innovations for personalized learning, data-driven insights, and educational efficiency. However, it also introduces a range of complexities that educational leaders, policymakers, and educators have to address. The key to navigating this transformation lies not only in understanding the technology itself, but in adopting a proactive stance toward its integration. Central to this preparedness is the concept and practice of foresight—to better anticipate and shape the future of education and learning in response to these emerging technological advancements.
Moving into the forefront of these Ai advancements is agentic Ai, which refers to Ai systems that are capable of independent action, decision-making, and interacting with individuals in ways that mimic human agency. Unlike traditional Ai, which responds to specific inputs or follows pre-programmed instructions, agentic Ai learns from interactions, adapts to user preferences, and evolves based on data. This opens up a new realm of possibilities for education, offering the potential to personalize learning, support diverse student needs, and enhance teacher effectiveness. As Jensen Huang, CEO of Nvidia adds, “The dream of Ai is not just about machine intelligence but also about giving these machines the ability to perform actions in the world… that’s going to open up new possibilities.”
For instance, agentic Ai systems could assess a student’s progress, identify learning gaps, and tailor content to suit their individual pace and style. Moreover, Ai could help automate administrative tasks, giving educators more time to focus on learning, teaching and student engagement. However, while these advancements hold great promise, they also bring with them a host of challenges for educators, educational leaders, schools, districts, communities, and policymakers, ranging from ethical considerations to the social implications of widespread Ai use in the classroom.
The first step in leveraging Ai’s potential in education is creating greater awareness across our educational systems, from the classroom to the boardroom. Educational leaders, policymakers, and educators must deepen their understanding not only of the capabilities of Ai, but also the profound implications it may have on teaching practices, student outcomes, and the broader educational ecosystem. As Ai continues to evolve, it is essential for educators to recognize its potential to transform classrooms, while also acknowledging the disruptions it may cause. These disruptions may manifest themselves in systems integration, new pedagogical approaches, and the introduction of new ethical dilemmas, such as data privacy and Ai bias.
To successfully integrate Ai into education, a proactive approach is necessary. This approach includes understanding the technology itself and anticipating its impact on educational systems. Rather than waiting to react as Ai unfolds, educational leaders must take intentional steps to shape its role in the classroom and across the system. This shift from a reactive to a proactive stance is crucial, as it allows stakeholders to guide the direction of Ai’s integration while addressing its potential challenges head-on. As Thomas Friedman shares, “In the future, being able to work alongside machines, especially Ai, will be a critical skill. We need to prepare our students not just for jobs, but for lifelong learning in an Ai-enabled world.”
While not as prevalent in the educator and educational leadership vernacular, one of the most valuable tools for creating insights into navigating the complexities of Ai in education will be found in the practice of foresight. Foresight is the process of anticipating future trends, technological developments, and societal shifts, and preparing for them strategically. In the context of Ai, foresight involves identifying early signals (weak and strong) of change, understanding the risks and opportunities posed by emerging technologies, and planning for the integration of Ai in ways that are both ethical and effective.
For educators and policymakers, foresight allows for delving into a deeper understanding of the potential impact of Ai on various aspects of education and learning in the future. By examining the broader cultural, social, and pedagogical implications of Ai, foresight enables decision-makers to shape policy that not only supports the effective use of Ai but also safeguards against its potential negative consequences. This proactive approach is essential for ensuring that Ai enhances rather than detracts from the educational experience.
Foresight also plays a key role in utilizing scenario planning to better prepare for a variety of futures. By considering multiple future scenarios—ranging from the widespread adoption of Ai tools to the potential risks associated with their misuse—educators and policymakers can develop strategies that are flexible and adaptive in their integration approach. This foresight-driven approach equips educators, educational leaders, and policy makers with the tools they need to navigate an Ai-driven future, ensuring that educational systems are better prepared for a variety of possible outcomes. Or as Sal Khan shares, “The future of education is personalized, driven by technology. But it’s not about replacing teachers, it’s about enabling them to be more effective and help students reach their potential.”
As AI continues to permeate the educational environment, it will bring with it a host of ethical, social, and pedagogical challenges. Educators will need to grapple with questions of data privacy, algorithmic bias, and the potential for Ai to reinforce existing inequalities. Moreover, there is the concern that Ai could undermine the core human elements of teaching, such as empathy, creativity, and relationship-building. As Ginni Rometty, former CEO of IBM adds, “The biggest challenge with Ai isn’t the technology, it’s understanding the implications and making sure we put it to good use.”
Foresight can help educators anticipate these challenges and develop practices, strategies, and frameworks for addressing them. For example, by considering the ethical implications of Ai early on, educational leaders can implement policies that prioritize transparency, accountability, and fairness in Ai systems, as well in policy. Foresight also enables educators to think critically about how Ai might alter teaching methods and student-teacher interactions, ensuring that the human aspects of education are preserved even as technology begins to play a greater role in education.
Furthermore, foresight encourages educators to stay informed about emerging trends in Ai and technology, ensuring that they are not caught off guard by new developments. This ongoing awareness will be crucial in maintaining a balance between technological innovation and the values that underpin education, such as equity, inclusivity, and student well-being.
The arrival of agentic AI (one of those emerging technological trends in Ai) in education presents both challenges and opportunities. However, through foresight, educational leaders can shape the future of education in a way that maximizes the benefits of Ai while addressing its potential risks. By anticipating technological shifts, understanding the implications of Ai, and planning for its integration, educators, educational leaders and policymakers can ensure that Ai serves as a positive force in education. As author and computer scientist Jaron Lanier shares,“We are at a crossroads where Ai could be a tool for empowerment, but it could also turn into something we don’t control…”
Rather than reacting to AI’s arrival as it unfolds, foresight empowers the education sector to proactively guide its integration. This means shaping policies that support ethical AI use, designing curricula that incorporate AI-driven tools effectively, and providing professional development opportunities for educators to navigate this new and emerging technological landscape. Ultimately, the goal is to ensure that AI enhances educational experiences for all students, enabling them to learn and grow in a rapidly changing world while preserving the human qualities that are fundamental to education.
Which aligns well in supporting California’s recently signed bill (AB 2876), which is aimed at integrating Artificial Intelligence (Ai) into the K-12 and higher education systems (tools, technology, and curriculum). The bill is part of an effort to prepare students for the future of work, where Ai is expected to play a major role. Here are some of the key points of this California bill:
1. Ai Education in K-12 Curriculum: the bill mandates that Ai literacy be integrated into the state’s K-12 education curriculum, which includes ensuring students are taught fundamental concepts about Ai, its applications, and its ethical implications.
2. Ai Curriculum Development: the bill encourages the development and implementation of Ai-focused curricula to teach students the basics of Ai, its ethical implications, and its potential on various industries as it aims to prepare students for a future where Ai plays a significant role in the workforce.
3. Teacher Training and Resources: the bill emphasizes the need to train educators on how to teach Ai concepts effectively and integrate Ai into their teaching methods, which includes providing teachers with resources, workshops, and ongoing professional development.
4. Ethical and Responsible Ai Use: the bill includes provisions to ensure that Ai is used ethically in education, particularly in terms of data privacy, security, and avoiding bias in Ai algorithms, and encourages students to consider the societal impacts of Ai technology.
5. Equity and Accessibility: the bill stresses the importance of ensuring equitable access to Ai resources for all students, regardless of socioeconomic status or geographic location, including addressing disparities in technology access and providing funding to under-resourced schools.
6. Preparation for the Workforce: the long-term goal is to prepare students for careers in Ai and technology fields, which includes both technical jobs, as well as non-technical jobs where Ai tools are used in industries such as healthcare, business, law, and the arts.
7: Student Access to Ai Tools: the bill emphasizes making Ai tools accessible for hands-on learning, which could involve using Ai-powered software, creating opportunities for project-based learning, and exposing students to Ai technologies they may encounter in real-world careers.
8. Pilot Programs and Innovation: in addition to the broad curriculum changes, the bill supports the development of pilot programs in schools to experiment with innovative Ai teaching methods, which can provide a testing ground curriculum improvements and educational technologies.
The overall intention behind the bill is to give students in California a strong foundation in AI, not just from a technical standpoint, but also in terms of ethical understanding and the impact of AI on society. This aligns with the state’s broader efforts to stay at the forefront of technological innovations while ensuring that its residents are equipped with the skills needed for an AI-driven future. As Assemblymember Marc Berman adds in a news release, “AI has the potential to positively impact the way we live, but only if we know how to use it, and use it responsibly. Children and young people today must navigate a world — and job market — transformed by fast-moving AI technology. We have a responsibility to ensure that all students, no matter their future profession, understand basic AI principles and applications, that they have the skills to recognize when AI is employed, and are aware of AI’s implications, limitations, and ethical considerations. This new law will equip all California students with the skills and training they need to be safe, ethical, and successful users of AI as it becomes more mainstream.”
And as Fei-Fei Li, Co-Director of the Stanford Institute for Human-Centered Ai adds, “We need to teach the next generation of students not just how to use technology, but how to understand it, how to think critically about it, and how to use it to enhance human flourishing.”
In many ways, the key points of this California bill (AB 2876) aligns with how we can begin to proactively prepare educators and educational leaders for the coming impact of an Ai subfield, such as agentic Ai. Beginning with considering some of the following:
1. Building Ai Literacy: to prepare for the possible coming era of agentic Ai, educators must first build a basic understanding of Ai technologies. This includes not only understanding how Ai works, but also grasping its potential ethical, social, and pedagogical implications. Professional learning and development programs should focus on Ai literacy, empowering teachers to integrate Ai tools effectively, and assess their impact on the classroom. This will also include educators needing to understand the ethical challenges Ai introduces, including issues around data privacy, algorithmic bias, and the potential for technology to disrupt traditional educational models.
2. Integrating Ai into Pedagogy: Ai should be seen as a tool that complements, rather than replaces, traditional pedagogical practices. Educators can use Ai-driven tools to personalize instruction while maintaining their role as facilitators and guides to enhance learning. So, while an intelligent tutoring system might help students master a particular skill, the educator’s role could shift to fostering higher-order thinking and encouraging creativity. To support teachers in integrating Ai into their teaching, professional learning and development programs could provide opportunities for experimentation and hands-on experience with Ai tools. Collaboration between educators and Ai developers will be essential to ensure that these tools align with educational values and meet the specific needs of students and teachers. Which has not always been the case with integration of technology.
3. Advocating for Ethical Ai Implementation: As Ai becomes more integrated into education, educators must advocate for ethical practices in its implementation. This involves ensuring that Ai systems are designed with fairness, transparency, and equity in mind. Teachers should have opportunity to be involved in the decision-making processes surrounding Ai adoption, helping to ensure that Ai tools align with the educational values of equity, inclusivity, and student well-being.
4. Supporting Lifelong Learning: Given the accelerated pace of Ai development, educators will need to embrace lifelong learning to stay current with technological advancements. Continuous professional learning and development focused on Ai, data science, and educational technology will be crucial for teachers to remain effective in their roles. As with educators, lifelong learning will also be essential for students, as they must be prepared to thrive in a world increasingly influenced and enabled by Ai.
As Reid Hoffman, Co-founder of LinkedIn reminds, “The challenge with Ai integration is not just about scaling technology – it’s about making sure the structures we have in place can keep up with the pace of innovation and handle the disruptions that will come.”
The emergence of agentic Ai offers significant opportunities to enhance personalized learning, increase operational efficiency, and support educators in their efforts to meet the diverse needs of students. However, its integration into education also presents important ethical and pedagogical challenges, particularly in terms of bias, over-reliance on technology, and changing teacher-student dynamics. Chris Anderson, Head of TED reminds us that, “The biggest challenge with Ai is figuring out the right balance between enabling it to do great things and ensuring it doesn’t go off the rails. We must consider the ethical, social, and psychological impacts.”
To prepare for the coming era of agentic Ai, educators must prioritize Ai literacy, engage with Ai tools thoughtfully, embrace new pedagogical approaches, and advocate for the ethical use and integration of Ai in education. By doing so, educators can harness the power of Ai to enhance the learning experience while maintaining the human-centered values that have long been the foundation of effective education. As AI continues to evolve, it is essential that educators embrace change, adapt their practices, and remain focused on the ultimate goal: ensuring that students receive an education that is equitable, engaging, and empowering, in the face of an increasingly AI-driven world.
“What we’re seeing is the start of a new era, where Ai is no longer just a tool, but a partner in every sense of the word.” -via Jensen Huang, CEO of Nvidia