What a challenge to be future-ready in a volatile world with so many unknowns: changing technologies, changing work requirements, changing politics, ever-increasing global competition with ever-shrinking funding for education. Our educators must prepare young people for a future they have never experienced, in a world where the pace of change continues to accelerate and where disruptions are more frequent.
Combine this with divergent views on the purpose of education – from workforce development to civic engagement – and a complex bureaucracy, and it’s no mystery that many Americans have waning faith in our public education systems.
What would it take to ensure that all of our schools become places of future-ready learning? What new skills might they need? From my work with many districts and innovative schools across the country, here are eight capabilities that seem essential, each of which reinforces the other.
- Schools must become organizations that learn rapidly and continuously.
Given the number of unknowns, we need schools that can rapidly learn and generate new models. This requires places of testing, iteration, and codification – where methods for learning and improvement are built directly into the work. We must double down on promising practices and release harmful ones, supported by data and systems that accelerate actionable research such as rapid cycle feedback and fast pilots.
Gwinnett County Public Schools offers an example, known for setting up an ambidextrous organization that explored innovation while maintaining strong implementation district-wide through clear governance and intentional structures for learning.
- Schools must re-center their purpose to support young people to flourish in the age of AI.
This reimagined purpose may involve a narrower set of core academic standards and many pathways that support each learner’s aspirations. Schools must honor student agency while modernizing content to ensure relevance. The Dana Center’s Mathematical Pathways provides a model for such redesign. Flourishing in an AI age also demands cultivation of curiosity, collaboration, and ethical judgement.
- The role of educators must evolve toward mentorship, coaching, and community-building.
Educators will need the skills to act as guides and mentors – building authentic relationships, motivating students toward their best selves, and creating communities of learning and belonging. They must help students find passions and professions while mastering skill progressions. This more expansive view of “educator” encourages flexible staffing and intergenerational learning – leveraging community wisdom while exposing older generations to youth perspectives and emerging technologies.
- Schools must leverage learning technologies for more relevant and personalized learning.
Technology can help achieve goals like 100% literacy by meeting individual needs, and it can empower young people to solve real community problems. For example, in summer learning pilots, Leading Educators partnered with LearnerStudio, Boston Public Schools, and the Denver School of Science and Technology to help students use AI to solve community-based challenges. Such use must be paired with safety guardrails and privacy protections to ensure responsible implementation.
- Schools need systems for tracking learning and mastery.
These systems must assess essential content as well as emerging skills linked to opportunity. Mastery should connect to credentials and qualifications that matter beyond traditional school to preparing students to access real opportunities. This aligns with the broader shift toward skill-based hiring in the modern workforce.
- Schools must embed the science of learning and development (SoLD) into everyday practice.
To serve all learners well, educators must have access to current research on how humans develop. The Science of Learning and Development Alliance provides an open-source synthesis, but the gap between research centers and classrooms remains too wide. Schools must adopt practices rooted in SoLD and ensure educators receive support to use them consistently.
- Schools must bridge the distance between the world of work and the world of education.
Preparing young people for evolving careers requires deeper collaboration between educators and those in emerging fields. This might include joint learning design, educators embedding in workplaces, or professionals taking fractional or virtual roles inside schools. These partnerships also enable authentic career connected learning, helping students understand how learning translates into opportunity.
- Schools must build the discipline of foresight and prepare for multiple possible futures.
Finally, in a world defined by constant change, schools must adopt foresight practices – scenario planning, horizon scanning, and structured imagination – to prepare for varied future states. Programs like the University of Houston’s Masters in the Science of Foresight train leaders in this discipline. Importantly,students themselves can participate in foresight work, strengthening agency, imagination, and civic engagement.
Such a vision may seem idealistic, but it is necessary given the magnitude of societal change underway. We are a country capable of building bold things, with tremendous assets that can be leveraged for the development of young people. Educators and students alike know instinctively that current systems are insufficient. At Leading Educators, we’ve repeatedly seen transformative changes in teaching practices, mindsets, and student learning. These shifts require strong vision, strong leadership, and strong implementation.
A brief coda
This year, hundreds of billions of dollars will flow into AI data centers, representing roughly half of U.S. economic growth. Around 60% of these costs go to GPUs – hardware that will be obsolete within 30 months – yet few consider this wasteful because of an assumption that relentless technological investment will always drive progress.
Imagine if we invested even a fraction of that in people – in educators and in students. Human intelligence doesn’t depreciate every two years; it compounds across generations. The return on investing in human capacity far exceeds the lifespan of any technology.
Perhaps it’s time to rebalance our priorities: to invest as boldly in human-based intelligence as we do in silicon-based intelligence. If the future of work, democracy, and society depends on our ability to learn, adapt, and care, then the people who cultivate those abilities – educators – must be our most vital investment.