Artificial intelligence is no longer a future consideration in education. It’s already present—in the tools students use, the systems schools rely on, and the world learners are preparing to enter.
That reality framed a recent conversation at FETC between Garrett Wilhelm and Becky Keene, educator, speaker, and author of AI Optimism. What emerged wasn’t a debate about whether AI belongs in schools, but a clearer, more grounded discussion about how educators can respond without losing what matters most.
This wasn’t about chasing the newest tool. It was about preserving the human core of learning while acknowledging that the ground has shifted.
AI Is Here. The Question Is How Schools Respond.
Becky doesn’t spend time entertaining hypothetical futures. Her perspective is rooted in the present.
AI is already embedded in daily life. Our banking systems, accessibility tools, logistics, translation, communication. Pretending schools can opt out while everything else moves forward doesn’t protect students. It isolates them.
Avoidance, she argues, is no longer neutral.
Fear-based decision-making doesn’t slow change. It simply hands control to forces outside education. When schools refuse to engage thoughtfully, students are left to navigate powerful tools without guidance, context, or ethical framing.
Education’s role has never been to block reality. It has always been to help learners understand and shape it.
Skill Loss Is the Wrong Frame
Much of the resistance to AI in schools centers on what students might stop doing. Writing. Calculating. Memorizing. Becky reframes that concern entirely.
The more useful question isn’t what skills disappear, but how skills evolve.
History offers plenty of parallels. Calculators didn’t eliminate mathematical thinking. Search engines didn’t eliminate curiosity. They changed what mastery looked like. They raised the bar.
AI presents a similar inflection point.
When drafting, revising, translating, or coding become more accessible, the value shifts toward judgment, synthesis, editing, creativity, and ethical decision-making. Those are deeply human skills. They don’t vanish in the presence of AI. They become more important.
The danger isn’t that students will think less. It’s that schools will continue to assess the wrong things.
AI Works Best as a Partner, Not a Shortcut
Becky is careful not to advocate for blanket adoption or one-size-fits-all implementation. Age, context, and purpose matter.
For younger learners, AI often works best behind the scenes. Tools that support feedback, accessibility, speech coaching, or practice can strengthen human skills without displacing them.
For older students, access becomes more important—particularly access within protected, school-guided environments. Translation, coding support, idea generation, and research assistance can expand what students are able to build and explore.
In both cases, the goal is agency. Students aren’t passive users. They’re active creators, editors, and problem-solvers.
AI doesn’t replace thinking. It pressures education to be clearer about what thinking actually looks like now.
Like we saw when talking to the students of Mountain View High and Principal Kip Glazer - we may need to look to learners for guidance in how we approach AI in education.
Balance Matters More Than the Tool Itself
Throughout the conversation, one concern surfaced repeatedly: imbalance.
The question isn’t whether technology belongs in learning. It’s whether it dominates it.
Becky points to the risk of mistaking digital fluency for learning, especially when physical experience, movement, and human interaction are sidelined. Screens can extend learning, but they can’t replace the need for collaboration, experimentation, and real-world application.
The strongest learning environments don’t choose between digital and physical. They integrate both intentionally.
Balance doesn’t happen automatically. It has to be designed.
What This Moment Asks of Educators
The most important insight from the conversation wasn’t about AI at all. It was about posture.
Education is at a decision point. Not because technology is advancing, but because avoidance is no longer viable. Schools can either engage thoughtfully or react defensively.
That choice will shape not just how AI is used, but how students understand learning, agency, and responsibility.
Optimism, as Becky frames it, isn’t blind enthusiasm. It’s a commitment to shaping outcomes rather than fearing them. It’s the belief that educators still have a role in guiding what comes next.
AI doesn’t make education less human. It challenges schools to decide whether human learning remains the priority.
That decision is already being made one classroom, one policy, one learning experience at a time.
Tools are coming out left and right. Most of it is tech for the sake of tech.
No one has the answers. But we know the question - how does this humanize learning? And we know the attitude - optimism.
