0:07 If you think the future of education is
0:09 just classrooms with smarter tablets,
0:11 you're already behind. Because what's
0:13 coming isn't a tool upgrade. It's a
0:15 platform shift. The kind of shift where
0:17 an entire institution can still look the
0:19 same from the outside. Brick buildings,
0:21 lecture halls, libraries, diplomas.
0:23 While the core reason it exists quietly
0:25 evaporates. And that's exactly what
0:27 happens when the cost of intelligence
0:29 drops. So, let me start with a statement
0:31 that will bother you, especially if you
0:33 grew up believing a university is the
0:35 safest bet you can make. Traditional
0:37 universities are not competing with
0:39 other universities anymore. They are
0:40 competing with an intelligence factory
0:43 that runs 24 hours a day, speaks every
0:45 language, adapts to every student, and
0:47 gets better every time someone asks a
0:49 question. And the terrifying part is
0:51 that this intelligence factory doesn't
0:54 need a campus. Now, I'm not here to say
0:56 school is useless or learning is dead.
0:58 That's the lazy take. Learning is
1:00 becoming more valuable than ever. But
1:03 the institution we call a university,
1:05 the traditional packaging of learning
1:06 was built for a world where knowledge
1:10 was scarce, slow, expensive, and locked
1:13 behind gates. That world is gone because
1:15 we've crossed a line. Computers are no
1:17 longer just retrieving information. They
1:19 are generating capability. In the old
1:21 world, you learned a subject, then you
1:23 learned a tool, then you learned a
1:25 method, then you practiced until you
1:26 could produce something valuable. The
1:29 gate wasn't your intelligence. The gate
1:31 was the cost of the process. In the new
1:33 world, you can describe your intention
1:35 in human language and a machine can
1:37 produce the implementation. The barrier
1:39 shifts from can you do it to do you know
1:41 what to do and why it matters. That
1:43 single shift is going to rearrange
1:45 education like an earthquake rearranges
1:48 a city. Buildings stay standing. the
1:50 street grid changes. Let's break this
1:52 down from first principles. What is a
1:54 university actually selling if you strip
1:56 away the traditions, the ceremonies, the
1:58 campus tours, the alumni pride? What's
2:00 the product? It has been three things.
2:02 Access to knowledge, access to talent
2:04 networks, access to a credential that
2:06 the market trusts. For a long time,
2:07 those three things were bundled
2:09 together. And it was a beautiful
2:11 business model. You had to attend to get
2:13 the knowledge. You had to attend to meet
2:15 the network. And the credential was the
2:17 proof you survived the process. Now AI
2:19 is unbundling all three. And the reason
2:21 it can unbundle them is not
2:23 philosophical. It's physics. It's
2:24 computation. It's scale. When
2:27 intelligence becomes manufacturable,
2:29 when data and electricity can be turned
2:30 into tokens of useful thinking on
2:32 demand, you get a new kind of
2:34 infrastructure. Not a library, not a
2:37 classroom, a factory. And factories
2:39 always change society more than schools
2:41 do. Here's the uncomfortable truth.
2:42 Universities were built as knowledge
2:44 distribution machines. Lectures are an
2:46 ancient bandwidth solution. One expert
2:49 speaks, hundreds listen, a few retain,
2:51 most forget, then everyone crams before
2:54 an exam. That system made sense when the
2:56 expert had the scarce thing, the
2:58 information, the interpretation, the
3:00 mentorship. But if a student has a
3:01 personal tutor that can explain any
3:04 concept in infinite ways, at infinite
3:06 patience, at any hour, then the lecture
3:09 is no longer the high value part. It
3:12 becomes the slowest, least personalized,
3:14 least efficient way to transmit
3:17 understanding. So what happens next? At
3:19 first, universities will try to add AI
3:23 the way businesses tried to add the
3:25 internet. They'll bolt on chat bots.
3:28 They'll create AI literacy courses.
3:29 They'll require students to use certain
3:31 tools. They'll police cheating with
3:34 detectors. They'll treat AI like a
3:35 problem. That's the stage where
3:37 institutions lose. Because when a
3:38 platform shift happens, the winners
3:40 aren't the ones who add the platform to
3:42 the old world. The winners are the ones
3:44 who rebuild the world around the
3:46 platform. Here's the real shift.
3:48 Education stops being scheduled and
3:50 starts being adaptive. For the first
3:52 time in history, every learner can have
3:54 a tutor that does three things a
3:56 professor cannot do at scale. It knows
3:58 exactly where you are confused. It can
4:01 generate a new explanation instantly. It
4:02 can keep going until you truly get it
4:04 without embarrassment. Most people
4:06 underestimate how much human learning is
4:08 blocked not by intelligence, but by
4:10 emotion. Fear of looking stupid, fear of
4:12 asking again, fear of falling behind,
4:15 fear of being judged. A human classroom,
4:16 even with a great teacher, triggers
4:19 those fears. An AI tutor doesn't. So,
4:21 the biggest educational revolution won't
4:23 be content. It will be confidence.
4:24 Millions of students are about to
4:27 discover they weren't bad at math or not
4:30 a language person or not smart enough.
4:31 They were simply taught in a way that
4:33 didn't match how their brain learns. And
4:36 once that realization hits, a lot of the
4:38 authority of traditional education
4:40 collapses. Now, let's talk about the
4:42 credential because that's the fortress
4:44 universities hide behind. They'll say,
4:46 "Sure, AI can teach you things, but
4:49 employers need degrees." That's true
4:51 until it isn't because credentials exist
4:53 to reduce uncertainty. A company doesn't
4:55 hire a degree. A company hires a signal.
4:57 A signal that you can think, a signal
4:59 that you can finish hard things, a
5:00 signal that you can produce value
5:03 reliably. Degrees were a proxy for that
5:05 signal because verifying skill used to
5:06 be costly. But what happens when
5:09 verification becomes cheap? What happens
5:10 when a candidate can demonstrate ability
5:13 instantly with portfolios, projects,
5:16 simulations, live problem solving, and
5:18 AI assisted outputs that mirror real
5:21 work. The degree becomes less of a gate
5:23 and more of a preference. And
5:25 preferences change fast when money is on
5:27 the line. Employers will increasingly
5:30 ask a brutal question. Why am I paying
5:32 for four years of delayed productivity
5:34 when I can assess capability now and
5:36 train continuously? Because that's
5:39 another shift AI creates, the half-life
5:41 of a skill. If the world changes every
5:43 year, a four-year curriculum is
5:45 structurally outdated. Not because
5:47 professors are incompetent, because the
5:49 world now moves too fast for fixed,
5:52 slow, committee-driven content to stay
5:54 relevant. And when the market realizes
5:55 that, the idea of front-loading
5:58 education becomes irrational. In the old
6:00 model, you learn first, then you work.
6:02 In the new model, you work while you
6:04 learn and your learning is integrated
6:06 into your work every week forever. So
6:08 here's the future I want you to see
6:11 clearly. Education becomes a continuous
6:13 operating system, not a phase of life.
6:15 And that's exactly what threatens
6:17 traditional universities because
6:19 universities are designed as a stage.
6:22 You enter, you progress, you exit. But
6:24 AI makes learning ambient, always
6:27 available, always updating, always
6:29 personalized. That means the institution
6:31 that survives won't be the one that
6:33 guards knowledge. It will be the one
6:35 that orchestrates transformation. Now,
6:38 let me sharpen the blade. AI is not just
6:40 going to help students learn. AI is
6:41 going to change what it means to be
6:43 educated. For decades, education
6:45 rewarded the ability to follow
6:47 instructions and reproduce answers.
6:48 That's why the best students often
6:50 become the most anxious adults. They
6:52 were trained to win inside a predictable
6:55 system, syllabus, rubric, exam. Then
6:58 they enter reality and discover reality
7:01 doesn't give rubrics. Now AI enters and
7:02 can reproduce answers better than
7:05 humans. So if education keeps rewarding
7:07 reproduction, it becomes obsolete. The
7:09 only way forward is to move education up
7:11 the value stack from memorization to
7:14 judgment, from compliance to curiosity,
7:16 from solving known problems to framing
7:18 unknown ones. And this is where Jensen's
7:20 first principles mindset becomes the
7:23 core educational skill. Because when a
7:25 machine can generate 10,000 answers, the
7:27 human advantage is choosing the right
7:29 question. That sounds poetic, but it's
7:31 operational. A person who can reduce a
7:33 messy real world situation into the
7:36 correct underlying problem is rare. A
7:37 person who can ask the question that
7:38 unlocks the next breakthrough is
7:41 priceless. So the true elite education
7:43 of the AI era is training people to
7:45 think from first principles, to strip
7:47 away assumptions, test what's real, and
7:49 build solutions based on fundamentals,
7:51 not tradition. That is the opposite of
7:53 how many universities operate today.
7:55 Many universities are built on inherited
7:57 structures, departments, majors,
8:00 prerequisites, standardized testing,
8:02 tenure incentives, publication games,
8:05 bureaucracy. AI doesn't care about any
8:08 of that. AI is indifferent. It's a force
8:11 multiplier for whoever adapts. Now, you
8:13 might be thinking, so does this mean
8:16 universities disappear? No. But
8:18 university will mean something
8:20 different. Here's the mental model. The
8:21 university stops being a content
8:23 provider and becomes a high trust
8:25 environment for deep work, identity
8:28 formation, social proof, and high stakes
8:30 practice because there are still things
8:33 AI can't replace in education, at least
8:34 not in the way humans need them. You
8:36 still need human belonging. You still
8:38 need real collaboration. You still need
8:41 ethical framing. You still need taste.
8:43 Taste is the ability to know what's
8:44 good, what's meaningful, what's worth
8:46 doing. AI can generate options. It
8:48 cannot generate purpose. And if you
8:50 don't believe that, look at what happens
8:52 when you ask a machine for the best life
8:54 plan. It gives you a reasonable average.
8:57 It gives you the center of the curve. It
8:58 gives you the safe version of what many
9:00 people have already said. But greatness
9:02 has never come from the average.
9:04 Greatness comes from character. And
9:06 character is forged through struggle,
9:09 failure, humility, and persistence.
9:11 Things no one can download. That's why
9:13 when Jensen talks about wishing students
9:16 pain and suffering, it's not cruelty.
9:17 It's an algorithm for building
9:20 resilience in a world where tools become
9:22 commoditized. The more powerful the
9:24 tools, the more dangerous it becomes to
9:26 have weak character holding them. So the
9:28 university that survives will not brag
9:30 about its lectures. It will brag about
9:32 its crucibles. Environments where
9:34 students are pushed into real problems,
9:36 real stakes, real feedback loops, where
9:38 they fail safely but meaningfully then
9:40 learn to recover. And here's another
9:42 brutal truth. AI will expose which
9:44 universities are actually transforming
9:46 humans and which ones are selling
9:48 prestige. Because when education is
9:50 abundant, prestige becomes suspicious.
9:52 If anyone can learn the content, why
9:54 does your institution matter? Only if it
9:56 can reliably shape people into high
9:58 impact problem solvers. Now, let's talk
10:00 about what AI will do inside classrooms
10:02 first because this is where the shift
10:04 becomes visible. Within a very short
10:06 window, every student will have a
10:08 private tutor, a private writing coach,
10:10 a private coding partner, a private
10:12 research assistant, a private study plan
10:14 generator. But that's just the surface.
10:16 The real transformation is that the unit
10:18 of education stops being the class. It
10:21 becomes the individual. Right now, a
10:24 teacher teaches the middle. Too slow and
10:26 the top gets bored. Too fast and the
10:29 bottom gets lost. The class moves as a
10:31 herd. AI breaks the herd. It tracks how
10:32 you learn. It detects your
10:34 misconceptions. It predicts what you
10:36 will forget. It schedules revision
10:38 before decay. It generates practice
10:40 problems tailored to your weak spots.
10:41 That means the pace becomes personal.
10:44 And if the pace becomes personal, the
10:46 entire structure of grades changes.
10:47 Grades were invented as a batch
10:50 processing output. One test, same time,
10:53 same conditions, compare students. But
10:55 in an adaptive system, assessment
10:57 becomes continuous. You don't measure
10:59 learning with a single snapshot. You
11:01 measure it with a trajectory. Imagine
11:04 education like a fitness plan. You don't
11:06 test someone's strength once a semester
11:08 and then decide if they pass. You track
11:11 progress. You adjust. You coach. You
11:13 optimize. That's what AI turns learning
11:15 into. Now ask yourself, if education
11:18 becomes continuous optimization, what
11:20 happens to the idea of graduation?
11:22 Graduation is a symptom of a batch
11:24 system. The future is more like leveling
11:26 up in real time. Credentials become
11:28 modular. Skills become stacked. proof
11:31 becomes dynamic. Instead of a four-year
11:33 degree, you'll have a living profile,
11:36 verified capabilities, demonstrated
11:38 projects, team outcomes, and micro
11:40 credentials that map directly to value creation.
11:42 creation.
11:44 Universities can fight this, but they'll
11:46 lose because learners will choose what
11:48 is cheaper, faster, more relevant, and
11:50 more empowering. And AI makes it
11:52 possible to deliver all four. Now,
11:54 there's a deeper point most people miss.
11:56 AI doesn't just personalize education,
11:58 it industrializes it. In the same way
12:01 factories industrialize manufacturing,
12:03 AI industrializes teaching. What does
12:05 that mean? It means the best teaching
12:07 strategies once discovered can be
12:09 replicated perfectly at scale. The best
12:11 explanation for a concept can be
12:13 generated in 10 styles. Visual,
12:16 story-based, analogies, step-by-step,
12:19 Socratic questioning, practice first. A
12:20 great human teacher can do that for a
12:22 classroom. An AI teacher can do that for
12:25 a billion people. That's not a metaphor.
12:27 That is the economic reality of scalable
12:29 intelligence. Now we hit the part where
12:31 people get scared. Does that mean
12:33 teachers are replaced? No. It means
12:35 teachers are redefined. The teacher
12:37 stops being a broadcaster and becomes a
12:39 designer of learning experiences. A
12:42 teacher becomes a coach of motivation, a
12:44 curator of projects, a mentor of
12:46 identity, a guardian of standards, a
12:48 builder of culture. Because the hardest
12:49 part of learning isn't information. It's
12:51 sustained attention. An AI can help with
12:54 attention, but it cannot replace the
12:57 deep human need to be seen, challenged,
12:59 and believed in by someone real. So the
13:01 best teachers will become more powerful,
13:04 not less. But average teaching as
13:06 content delivery that becomes a
13:07 commodity just like average customer
13:10 support was transformed by automation.
13:11 Just like average translation gets
13:13 handled by machines, just like average
13:15 coding will be generated. And this is
13:17 where the farewell to traditional
13:20 universities becomes unavoidable because
13:22 the traditional university is
13:24 essentially a content delivery machine
13:27 with a credentiing layer. AI attacks
13:28 content delivery. Then it attacks
13:30 credentiing. Then it forces the
13:32 institution to justify its existence
13:35 through transformation. Many won't. Now
13:36 let me show you the next step of the
13:38 shift. Domain expertise becomes the new
13:41 elite currency. In the old world, coding
13:43 skill was a gate to power. If you could
13:45 talk to machines, you could build. If
13:47 you couldn't, you were a user. In the
13:49 new world, the machine understands you.
13:51 Human language becomes the interface.
13:53 So, if everyone can code through intent,
13:55 the competitive advantage shifts to the
13:57 people who understand reality. Biology,
14:00 medicine, law, architecture, supply
14:02 chains, materials, science, finance,
14:04 education itself. The future belongs to
14:06 people who can say, "Here's the real
14:08 problem. Here's the constraint. Here's
14:10 the standard. Here's what success
14:12 actually means." Because AI can generate
14:14 solutions, but it needs a target. And
14:16 targets come from humans. So what does
14:18 that mean for education? It means
14:20 universities that survive will stop
14:22 producing general graduates and start
14:25 producing domain elites who can wield AI
14:27 like a force multiplier, not AI
14:30 specialists, AI enabled experts. There's
14:32 a difference. An AI specialist is
14:34 someone who knows the tool. An AI
14:36 enabled expert is someone who knows the
14:39 world and uses the tool to bend reality.
14:41 That second person becomes unstoppable.
14:43 Now there's another layer. AI is going
14:46 to make education brutally honest. Right
14:48 now many people can hide behind
14:50 performance rituals. You can memorize,
14:52 you can cram, you can write essays that
14:54 sound smart, you can get decent grades
14:57 without deep understanding. AI ends that
14:59 because when everyone has access to
15:01 polished output, output stops being
15:03 proof of understanding. And that forces
15:06 a painful upgrade in assessment. We will
15:09 measure thinking, not writing. We will
15:11 measure reasoning, not formatting. We
15:12 will measure decisions under
15:14 uncertainty, not correct answers to
15:17 predictable questions. So you'll see a
15:20 resurgence of oral exams, live problem
15:22 solving, portfolio defenses, team
15:25 simulations, real world apprenticeships.
15:26 Not because we're going backward, but
15:28 because we're finally forced to evaluate
15:30 what matters. And here is the part that
15:33 will shock you. AI will make education
15:35 more like sports. In sports, you can't
15:37 fake performance. You either can do it
15:39 or you can't. The future of education
15:42 will increasingly demand demonstration.
15:44 Now, let's talk about the economic
15:46 consequence. The campus premium
15:48 collapses. For decades, the best
15:50 universities charged for proximity. You
15:53 paid to be near professors, labs, peers,
15:55 recruiters. But AI reduces the premium
15:57 of proximity. You can collaborate
15:59 globally. You can learn from the best
16:01 explanations. You can access simulated
16:03 labs. You can join communities online.
16:05 You can ship projects to the world. So
16:07 the question becomes what does the
16:08 campus provide that cannot be
16:11 replicated? The answer is high trust
16:13 networks and high stakes environments.
16:15 That means universities will polarize.
16:17 At the top a small set of institutions
16:18 that become elite transformation
16:21 engines, selective project-driven,
16:22 deeply connected to industry with
16:24 intense mentorship and real
16:26 opportunities. In the middle,
16:28 institutions that struggle because their
16:30 primary value was content delivery and
16:32 local branding. at the bottom,
16:33 institutions that either reinvent
16:36 radically or become irrelevant. And
16:37 here's the most important point. This
16:40 isn't happening one day. It's already
16:42 happening. Students are already learning
16:44 from AI tutors. They're already building
16:46 portfolios faster. They're already
16:48 questioning tuition. They're already
16:49 seeing that a credential doesn't
16:51 guarantee a job. So, universities are
16:53 about to face the same shock that
16:55 newspapers faced, that retail faced,
16:57 that cable television faced. at first
17:00 denial, then panic, then rebranding,
17:02 then consolidation, and then a new
17:04 system. Now, I want to give you the real
17:07 punchline of the AI education era
17:09 because this is the part that decides
17:11 who wins. In the AI era, the most
17:14 important skill is not knowledge, it's
17:16 learning velocity. How fast can you
17:18 learn something new? How fast can you
17:20 detect you're wrong? How fast can you
17:22 pivot? How fast can you build again?
17:24 That is survival. That is employability.
17:26 That is power. And it's exactly the
17:29 culture Jensen describes. This constant
17:31 sense that you're 30 days from failure,
17:33 not as drama, but as a discipline.
17:35 Because when the world is exponential,
17:38 complacency is death. So education must
17:40 train people to live in motion, not to
17:42 memorize stable truths, but to adapt to
17:45 shifting realities. Now ask yourself,
17:47 does the traditional university do that
17:49 or does it train people to obey rubrics?
17:51 Because rubrics are disappearing. In the
17:54 future, you will be judged by outcomes.
17:55 Now, I'm going to say something even
17:58 more controversial. AI will make the
18:01 best education cheaper and more
18:04 available than at any point in history.
18:06 And that will increase inequality unless
18:08 we change what we value. Because when
18:09 learning becomes abundant, the advantage
18:11 shifts to discipline and environment.
18:13 Two people can have the same AI tutor.
18:15 One uses it for 10 minutes, gets
18:17 distracted, never applies it, stays
18:20 average. the other uses it daily, builds
18:22 projects, seeks feedback, fails,
18:24 iterates, becomes dangerous. So access
18:27 won't be the main divide. Agency will,
18:28 which means parents, schools, and
18:30 communities will have to stop asking,
18:32 "What school do you go to?" and start
18:34 asking, "What are you building?" Not
18:37 someday. Now, projects will become the
18:39 new transcripts. And AI makes it
18:41 possible for a teenager with a laptop to
18:43 build things that previously required a
18:45 department. That's not hype. That's the
18:47 shift. So education will move toward
18:50 creation because creation is the only
18:52 honest proof left. Now let's talk about
18:54 what AI has in store for the actual
18:56 structure of learning because this is
18:58 where the university model really
19:00 breaks. Curricula will become dynamic.
19:02 Imagine a curriculum that updates weekly
19:05 based on new research, new tools, new
19:07 industry demands, your personal
19:10 progress, your interests, your gaps.
19:12 That is not compatible with a
19:14 traditional semester structure.
19:15 Semesters exist because teaching was
19:17 constrained by scheduling and human
19:20 bandwidth. AI dissolves those
19:22 constraints. So you'll see education
19:25 moving into self-paced mastery tracks.
19:27 Competency based progression, continuous
19:29 enrollment, adaptive pathways, and
19:31 universities that cling to the old
19:33 calendar will feel slow and irrelevant.
19:36 Now add another factor. AI will create
19:38 synthetic practice. Practice is the
19:40 bottleneck of mastery. You don't become
19:42 great by watching lectures. You become
19:44 great by doing the thing, failing, and
19:46 doing it again. AI can generate
19:48 unlimited practice scenarios. If you're
19:50 learning negotiation, you can role-play
19:53 against infinite partners with feedback.
19:54 If you're learning medicine, you can
19:57 diagnose simulated patients with varying
19:58 symptoms. If you're learning
20:00 engineering, you can test designs in
20:02 simulation. If you're learning law, you
20:04 can run mock cases. So, the practice
20:06 bottleneck collapses. And when practice
20:09 becomes infinite, mastery accelerates.
20:11 That means a motivated learner can
20:13 compress years into months and that is
20:15 what breaks the four-year degree model
20:18 because time becomes a weak signal. What
20:21 matters is demonstrated capability. Now
20:23 what about research universities? Surely
20:26 research is safe, right? Research will
20:28 transform too. AI will speed up
20:30 literature review, hypothesis
20:32 generation, experimental design and
20:35 simulation. It will reduce the friction
20:37 of discovery. But it will also raise the
20:39 bar because if AI can help generate
20:41 hypotheses, the role of the researcher
20:44 shifts to judgment, ethics, and choosing
20:46 what to pursue. And universities will
20:47 face competition from outside
20:50 institutions, private labs, startups,
20:52 sovereign AI centers because the tools
20:54 of discovery will be accessible beyond
20:57 academia. So, the monopoly on research
20:59 will weaken. Now, there's one more level
21:01 to the education shift that most people
21:02 don't talk about, and it's the most
21:04 important. AI will turn education into
21:07 infrastructure. Just like electricity.
21:09 At first electricity was a novelty. Then
21:11 it became a utility. Then everything
21:13 depended on it. AI will be the same. We
21:15 will stop asking do you use AI in
21:17 school? It will be like asking do you
21:19 use electricity in school? Of course you
21:21 do. So education policy, national
21:23 competitiveness and social mobility will
21:25 become linked to one question. Who
21:26 controls the intelligence
21:28 infrastructure? This is the idea of
21:31 sovereign AI applied to education. If a
21:33 nation's students rely entirely on
21:35 foreign blackbox models for learning,
21:38 tutoring, assessment, and curriculum,
21:40 then that nation is outsourcing part of
21:42 its cognitive sovereignty. And if you
21:44 think that's dramatic, imagine a country
21:46 outsourcing its entire textbook system
21:49 to one external entity that can change
21:51 the content overnight. Education is
21:54 culture. Education is values. Education
21:56 is identity. So countries and
21:58 institutions will build their own models
22:00 aligned to their curricula, languages,
22:03 history and ethical standards. And that
22:05 will create new winners in the education
22:07 landscape. Not just schools, but AI
22:09 infrastructure providers, learning
22:11 platforms, and national intelligence
22:13 factories. Which brings us right back to
22:15 the first principle. When intelligence
22:17 becomes manufacturable, everything
22:20 reorganizes. Now, let's bring this down
22:22 to you watching this video because none
22:24 of this matters if it stays abstract. If
22:26 you're a student, the most dangerous
22:28 mistake you can make is treating AI as a
22:31 cheat code. If you use AI to avoid
22:33 thinking, you're building weakness. But
22:35 if you use AI as a thought partner, as a
22:38 tutor, as a simulator, as a project
22:39 accelerator, you can become something
22:42 rare, a fast learner with domain depth.
22:44 And that combination is the closest
22:46 thing to unfair advantage in the new
22:48 education economy. So here's the new
22:50 strategy. Stop asking, "What should I
22:52 study to be safe?" That is a question
22:55 from a world that no longer exists. Ask
22:58 instead, what domain do I care about
23:00 enough to go deep? And what problems
23:02 inside it are so hard most people avoid
23:05 them? Then use AI to build faster, test
23:07 faster, and learn faster. If you're a
23:10 parent, stop optimizing for prestige.
23:12 Optimize for curiosity, resilience, and
23:14 creation. If you're a teacher, stop
23:17 fearing AI. Redesign your class so AI
23:19 handles the repetition and you focus on
23:21 transformation. If you're a university
23:23 leader, stop protecting the lecture
23:26 model. Build crucibles. Build
23:28 apprenticeships. Build proof. Because
23:30 here's what AI has in store for
23:32 education. Whether institutions like it
23:34 or not, every learner will be able to
23:37 access intelligence. The question will
23:38 be what they do with it. And the
23:40 institutions that survive won't be the
23:42 ones that teach people to pass tests.
23:44 They'll be the ones that teach people to
23:45 become the kind of human who can hold
23:47 powerful tools without being destroyed
23:50 by them. Someone who can fail, recover,
23:51 and build again. Someone who can choose
23:53 meaningful problems. Someone who can
23:56 turn intelligence into impact. So the
23:57 next time someone tells you just get a
23:59 degree and you'll be fine, hear what
24:01 they're really saying. Follow the old
24:03 map. But the terrain has changed. And in
24:05 a world where the machine can generate
24:07 answers instantly, the rarest thing
24:10 isn't information. It's direction, its
24:12 taste, its courage. And if you want a
24:14 simple test of whether you're preparing
24:16 for the future or clinging to the past,
24:18 ask yourself this tonight. If AI could
24:20 teach you anything, build anything,
24:22 explain anything, what would you choose
24:24 to become? Because whatever your answer
