Minh is doing his best, but life as a college student is basically a circus.
Mornings? Lectures and assignments that breed like rabbits. Afternoons? Behind the counter at his part-time bubble tea job. Evenings? Chaos. Group projects with classmates who think teamwork is a myth, family calls for homework help, and a brief, cherished hour of downtime before crashing into bed.
Meanwhile, Minhâs university has resources that make a 90s computer lab look cutting-edge, and professors who are still mastering PowerPoint. But everywhere Minh looks, people are talking about "AI this" and "coding that," and it all sounds like a foreign languageâa language Minhâs just not ready to speak.
So, when a consultant started talking about the future like itâs a rocket ship ready to launch, Minh didnât feel inspiredâhe felt overwhelmed. This guyâs talking about rockets while Minh is just trying to survive the day. His weekends are spent working to cover basic expenses, and the thought of learning new skills feels like trying to climb Everest in flip-flops.
But the world? The world keeps saying, âGet on the rocket ship, or youâre done.â Learn to code, learn data, or prepare to be obsolete. As if thatâs the key to survival. Minh just wants to graduate and find a stable job, but the goalposts keep moving, and he wonders if heâll ever catch up.
TABLE OF CONTENTS
- the gospel, according to AI
- the agreed vision for education
- the appeal: why everyone buys in
- the hidden costs of consensus
- the workforce vs. the fulfilled society
- the false universality of âfuture-proofâ
why itâs not just about skills
Read the original post future of education for more thorough footnotes, discussion and direct interaction on posts.
1. the gospel, according to AI
A McKinsey report from 2023 claimed that by 2030, 375 million workers worldwide will need to switch occupational categories due to automation. Thatâs 14% of the global workforce. Itâs sending a message, a message that says they need to âbecome a different person entirely, or die trying.â
The narrative is deafening: AI this, data-driven that. "Digital transformation" has infected every board meeting and Zoom call like a buzzword virus. And recruiters? They're scouting for âagile thinkers,â like they're assembling a tech superhero team for the next big revolution. Seriouslyâagile thinkers? Itâs like something out of The Matrix.
The message? If youâre not on the rocket ship to the future, you're dead weightâlike the guy still rocking a flip phone while everyone else posts digital twins to the cloud.
But here's the catch: the whole vision is deeply flawed. It assumes everyone has the time, money, and mental bandwidth to keep up with the relentless march of âinnovation.â
If you're floating on a cloud of productivity, maybe it makes sense. But for people like Minh, juggling work, family, and survival, this rocket ship isnât a golden ticket.
Itâs a barricadeâa flashing sign that says, "Sorry, you're not allowed in." Minh doesnât have the luxury to become a coding wizard or learn a dozen new tools just to stay relevant. His future isnât a rocket launch; itâs a never-ending race with no finish line in sight. And thatâs the problem.
a. the "fit" problem
Fit.
In education, "fit" means squeezing into the mold schools love: bright, adaptable students who thrive on constant disruption, tech tools, and endless upskilling. Itâs a narrow view of success that assumes everyone has the time, energy, and resources to keep up with every new trend.
So, what's the endgame? Schools are becoming "launchpads for the learners of tomorrow"âtech-savvy, AI-ready whizzes who can code in their sleep and manage digital classrooms. Sounds perfect, right?
Enter the EdTech floodâAI tutors, smart boards, platforms promising personalized learning. It's a rocket to the future... but only if you can afford the ticket.
Picture the future of education as a high-end gym: Peloton bikes, personal trainers, and nutrition plans dialed to perfection. Sounds greatâunless you canât afford the membership. Or youâre not a gym person. Suddenly, itâs less âaspirationalâ and more âexclusionary.â
Now swap âgymâ for âeducation,â and youâve nailed where weâre heading. The more we shove education into a tech-first, one-size-fits-all pipeline, the more we alienate anyone who doesnâtâor canâtâfit. Itâs like saying success requires doing yoga on a Peloton. Cool if youâre already fit; impossible if youâre not.
âBut they just need to work harder!â Sure, letâs pretend that erases systemic inequality, lack of access, and the crushing mental toll of trying to keep up with an unrelenting treadmill.
This tech-driven vision risks turning education into a marathon where only a few have running shoes. The rest? Theyâre stuck on the sidelines, wondering why the race feels rigged.
b. why it matters
This isnât just about being niceâitâs survival.
When education becomes a one-size-fits-all sprint to a tech-savvy future, we lose the diversity of skills and perspectives that actually keep society resilient. Students like Minh donât get left behind because they lack ambitionâtheyâre just not handed the "right" tools to fit into this glossy, one-track ideal.
But what if the future of education isnât a shiny, turbo-charged rocket? What if itâs something slower, steadierâsomething that doesnât demand everyone run the same race but instead meets students where they are and helps them move forward at their own pace?
Because progress isnât about building faster rockets. Itâs about making sure everyoneâs onboard. After all, you canât win a race to the future if half the runners are stuck at the starting line without shoes.
2. the agreed vision for education
The blueprint goes like this: The essential skills for the future are tech fluency, problem-solving, and innovation. Everyone from LinkedIn thought leaders to global policymakers is shouting this from the rooftops like itâs the secret to eternal youth. But letâs break it down, because these buzzwords are more slippery than a bĂĄnh mĂŹ loaded with too much mayo.
a. tech fluency: the shiny tool everyone should own
Tech fluency is essentially the idea that you should navigate technology with the same ease and instinct as you do everyday tasks, like sending a voice note or ordering food online.
A 2022 World Economic Forum report even declared digital literacy as crucial as traditional literacy. Itâs a bold statement that raises an important question: what does it truly mean to be fluent in tech?
Think of tech fluency as the Swiss Army knife of skills. Itâs versatile, efficient, and promises solutions to a range of challenges.
Need to streamline your workflow? Thereâs an AI for that. Want to boost customer experience? Smarter recommendations. Curious about industry trends? Social listening tools.
Sounds amazingâlike handing someone a Swiss Army knife and calling them a survivalist. But having tools doesnât mean youâll survive the wilderness. Odds are, youâll fumble and end up with a nasty paper cut.
Thatâs the problem with tech fluency today: itâs not just about using tools; itâs about understanding them. Sure, AI can crank out marketing copy or brainstorm ideas, but if you donât know when, how, or why to use it, itâs more chaos than clarity.
Take generative AI. Itâs the shiny new toy for productivity, but without time or context to actually apply it, itâs just overwhelming. And letâs be honestâmost people donât lack curiosity; they lack capacity.
Asking a small business owner juggling a dozen tasks to âlevel upâ their AI game is like suggesting they take up quantum physics on weekends.
The truth? âUpskillingâ often feels less like empowerment and more like an extra boulder in an already-overloaded backpack.
Tech fluency isnât about chasing trends or stockpiling toolsâitâs about making tech work for you. That takes education, support, and, above all, time. Because if tech is a Swiss Army knife, letâs stop pretending everyone knows how to use it. Some of us are still figuring out how to open the corkscrew.
b. problem-solving but sexy
Next up, problem-solving.
And I donât mean the kind where youâre figuring out how to keep your motorbike not drowning in the middle of Saigonâs monsoon season.
No, this is the bougie, high-gloss version of problem-solvingâthe kind that companies frame in neon lights. Itâs like the difference between a cĂ phĂȘ sữa from your favorite street cart and Nas Dailyâs cĂ phĂȘ and sữa.
Corporations love their buzzwords. They want employees who can "disrupt markets," "drive innovation," and "think outside the box." Basically, theyâre looking for Batman but with better Excel skills. Deloitte even claims 90% of executives think problem-solving will be a top skill by 2030.2 Cool stat. But hereâs the question: what does that actually look like?
If youâre young in Vietnam right now, problem-solving isnât a future skillâitâs survival. Whether itâs hacking Grab fees that cost more than your order or juggling three side hustles to afford the new Galaxy Z Flip and a weekend in ÄĂ LáșĄt, youâre already solving problems. Sure, youâre not âdisrupting markets,â but youâre definitely disrupting your bank account. Welcome to the gig economy!
But hereâs the kicker: in the corporate world, problem-solving isnât just about being practicalâitâs about being flashy. Letâs say your tech startup boss asks you to fix user engagement. Logical answer? Improve the appâs UX or speed. Wrong. What they want is a viral campaign featuring Hiáșżu Thứ Hai casually hyping the app on a livestream. Because obviously, thatâs what ârealâ problem-solving looks like.
The truth? Problem-solving isnât some epic Shark Tank moment. Itâs mostly grit, a bit of creativity, and a lot of coffee. Whether itâs scoring that group Grab discount or rebranding a startup, the simplest solutions often work bestâlike, say, fixing the UX instead of building a rocket to Mars. But good luck explaining that to a boss who thinks every idea should come with fireworks.
c. innovation: the crown jewel of the future
Ah, innovation. The piĂšce de rĂ©sistance. The golden child of corporate strategy. Everyone wants to âinnovate,â but most of the time, itâs
âletâs throw money at something shiny and hope it works.â
Innovation is like that startup founder who drops words like "synergy" and "disruption" during a Shark Tank pitchâwhile his app crashes whenever someone logs in. Itâs all TEDx talk and investor hype, but out in the real world? Sometimes itâs as practical as a 5G phone in a no-signal zone.
Hereâs the awkward truth: innovation tends to benefit those already ahead. Itâs like a marathon where half the runners start closer to the finish line while the rest of us are still lacing up. Take automation: companies and policymakers love it because it boosts profits and GDP. Meanwhile, youâre being guilt-tripped into learning Python between sips of coffee because âthe future is now.â Chill, Iâm just trying to caffeinate.
But future-proofing for whom? Sure, robots make factories efficient, but they also displace workers. Itâs like building a fancy new bridge while torching the old oneâgreat for some, not so much for the people stuck on the wrong side.
In Vietnam, this plays out in education. Big-city schools are hyped on AI-powered classrooms and personalized learning. Meanwhile, rural students, with spotty Wi-Fi and hand-me-down phones, are watching the innovation train leave without them.
For some, innovation means progress. For others, itâs just a shiny reminder that the future doesnât have room for everyone.
Innovation sounds greatâuntil you look closer. Grab, ShopeeFood, and the rest of the gig economy âinnovateâ to get your bubble tea delivered faster, but drivers? Theyâre stuck with shrinking commissions, rising fuel costs, and mysterious algorithm changes. Progress for us; a headache for them.
Then there are influencers hyping the metaverse and âadapting to the future.â But if youâre a young Vietnamese juggling jobs, rent, and iced coffee budgets, the metaverse isnât exactly high on your to-do list. Itâs a fun idea for laterâlike when youâre not busy surviving.
The truth? Innovation isnât the great equalizer itâs sold as. It often widens the gap between those who can afford to keep up and those left scrambling to catch up. Until innovation is designed for everyoneânot just the lucky fewâweâre not disrupting anything. Weâre just upgrading inequality.
3. the appeal: why everyone buys in
âBut Duy, isnât it their fault for not keeping up?â Sure, thatâs an easy take. Blame the people who fall behind. But hereâs the kicker: thatâs exactly the problem.
We celebrate systems that prioritize efficiency and growth, but they arenât just leaving people behindâtheyâre designed to. The education reforms, the EdTech hype, the obsession with âglobal alignmentââthey all sound great if youâre already on the train. If not? Good luck catching up.
Take efficiency. ChatGPT spits out reports in minutes that used to take hours. Amazing, right? But this efficiency craze is more addiction than innovation, where companies squeeze workers dry and treat them like replaceable parts.
So, yeah, from the top, it looks shiny and streamlined. But from the bottom? Itâs a mad scrambleâor worse, total exclusion. Turns out, progress often comes with a price tag, and not everyone can afford it.
Thereâs also economic growth. Economic growth is important because over time, we are expected to, to put it simply, feed much more people, with much better food. Your mom isnât happy seeing you cooking ramen noodles with eggs every month. Your mom, no matter how Asians she cannot be, expected some âeconomic growthâ from you.
The numbers donât lie. A PwC report from 2023 projected that AI could contribute up to $15.7 trillion to the global economy by 20303. Thatâs trillion with a T. Numbers like that make policymakers salivate like Pavlovâs best friend.
The promise of growth is the ultimate crowd-pleaser. Never mind that the benefits rarely trickle down; the idea of progress is enough to keep everyone nodding along.
And alignment with global trends? Oh, itâs irresistible. If the U.S. builds innovation hubs, Vietnam wants in. Europe doubles down on green tech? Asia scrambles to follow. This copy-paste obsession convinces us thereâs only one ârightâ futureâthe one everyone else is chasing.
At the heart of it all is hope. The same hope that sells gym memberships in January or makes you believe Duolingo will finally teach you French. Hopeâs great, sureâbut itâs also distracting. While we chase shiny visions of the future, millions of students without access or resources are quietly left behind.
Thatâs the paradox. This future is inspiring and optimisticâand totally out of reach for anyone who doesnât fit the mold. Without questioning this blueprint, weâre not building a better system. Weâre building a rocket that takes off, leaving half the world stuck on the ground.
4. the hidden costs of consensus
So, weâve got this shiny vision of the future of educationâpersonalized, optimized, digitized. But have you ever noticed how, in all the policy white papers and EdTech product launches, thereâs a suspicious lack of actual students? Like, real students. The kind who doodle in the margins, build robots from scrap metal, or write poetry during math class.
Where do they fit into this grand blueprint?
Spoiler alert: they donât.
a. the alienated
Letâs start with the outsidersâthe Alienated. These are the people the rocket doesnât even pretend to make room for. The ones who look at the âessential skills for the futureâ and think, Am I a malfunctioning human because I donât care about blockchain?
Take artists, for example. You know, the ones who make your recent Spotify Wrapped not embarrassing enough to share with friends, who design those Facebook ads you pretend to ignore, who create the movies you watch while procrastinating on deadlines. Remember them?
Their future of work doesnât fit neatly into spreadsheets or fancy KPIs. AI can generate art now, but letâs be real: it does so by borrowing from probably every artist whose work has been digitized, whether they're alive or six feet under.
And letâs be honest, when was the last time you cried yourself to sleep listening to AI-generated music? Yeah, I thought so. Itâs not quite the same as listening to Joji on repeat.
Or think about craftsmen. Imagine telling a fifth-generation carpenter, âSorry, woodwork doesnât align with our innovation metrics. Maybe you should try building chairs... but as NFTs.â
These people arenât just building furnitureâtheyâre building stories, history, and tradition. But in a world obsessed with âscaling,â if it canât be mass-produced, does it even matter?
And what about philosophers or autodidacts? The ones who value ideas over output, who question everything and spark new ways of thinking? You canât slot Socrates into a Gantt chart.
They donât earn LinkedIn badges or get recognized in the latest âessential skills for the futureâ list. Society treats them like decorative throw pillows: nice to have, but unnecessary.
This is where the consensus falls apart.
The future it envisions is optimized for productivity, not humanity.
And anyone who doesnât fit that mold gets left behind, standing on the sidelines, wondering when they became obsolete.
b. the systemâs blind spot
This shiny future doesnât just sideline peopleâit sidelines entire roles that are deeply, fundamentally human. Take caretaking. Raising kids, nursing the sick, teaching the next generationânone of it screams âdisruptionâ or âscalability,â so it gets pushed aside.
But letâs get real: AI doing your taxes? Cool. AI taking care of your sick grandmother? Thatâs dystopia. Caretaking isnât just tasks; itâs warmth, patience, connectionâstuff you canât code. But because it doesnât fit the tech-worship narrative, we automate it, outsource it, or pretend itâs not essential.
Same goes for storytelling. Stories make us humanâfrom ancient myths to Netflix binges. Sure, AI can string words together, but it canât deliver the gut-punch plot twists or chaotic brilliance of, say, your average AO3 fanfic writer. Seriously, find me an AI that can outdo those unhinged authorâs notes. You canât code this.
But hey, storytelling isnât essential in the tech-driven future, right?
5. the workforce vs. the fulfilled society
The consensus vision isnât trying to build a society. Itâs trying to build a workforce. A usable workforce.
Think about itâwhen was the last time you saw a company pitch about âemotional fulfillmentâ?
Yeah, I didnât think so. Fulfillment doesnât show up on quarterly earnings reports.
The whole system is built to churn out workers optimized for tasks, not lives. Itâs like designing a car thatâs great for racing but terrible for driving on actual roads.
And what do we get? A society more productive than ever but somehow less fulfilled than ever. Donât take my word for itâstudies back this up. In 2023, the Global Happiness Index reported a steady decline in workplace satisfaction, even while productivity was hitting new highs.4
Weâre working harder, faster, smarterâbut to what end? The more we push for efficiency, the further we seem to get from actual fulfillment.
Maybe itâs time we rethought this whole "more work, more success" thing.
By sidelining roles like caretaking, storytelling, and emotional labor, weâre not just losing individualsâweâre losing the soul of society. We're building a future where people are valued not for being human, but for how well they fit into the machine.
Imagine a world without poets. Without caregivers. Without dreamers. A world that runs on efficiency but has no warmth, no beauty, no humanity. Thatâs the hidden cost of chasing progress at all costs.
Because hereâs the truth: the future of education isnât just about skills or productivity. Itâs about the kind of world we want to live in. If we keep building these shiny rockets without asking who theyâre really for, we might wake up one day and realize weâve left the best parts of ourselves behind.
And thatâs a future no algorithm can fix.
6. the false universality of âfuture-proofâ
Letâs talk about one of the most overused terms in every corporate keynote and LinkedIn post: future-proof. Itâs like the avocado toast of career adviceâeveryoneâs selling it, no one really knows what it means, but hey, it looks good on a PowerPoint slide.
At its core, the idea of âfuture-proofingâ is simple: If you learn the right skillsâtech fluency, productivity hacks, AI integrationâyouâll be immune to the whims of the future. Sounds great, right? Until you realize this vision of the future comes with some seriously flawed assumptions.
a. the assumptions of utility
Hereâs the first big assumption: the only skills that matter are the ones tied to technology and productivity. You know, things like coding, data analysis, and âstrategic innovationâ (whatever that means). Itâs as if the world has collectively decided that Excel formulas are the new survival skills.
But letâs rewind to 2020 for a second. Remember the pandemic? You know who wasnât âfuture-proofâ according to this framework? Essential workers. The people stocking grocery shelves, delivering packages, or taking care of COVID patients in overrun hospitals. None of these jobs were glamorous. None of them required blockchain certification. And yet, the world literally stopped functioning without them.
The pandemic exposed the lie at the heart of âfuture-proofing.â Itâs not the tech-savvy workers who keep society running during a crisisâitâs the ones doing the unquantifiable, human, often low-paying jobs. But instead of learning from that, the system doubled down. Now, weâre back to worshipping tech skills like the pandemic was just a bad Wi-Fi connection we had to reset.
Even on a practical level, this obsession with âfuture-proofâ skills ignores how unpredictable the future actually is. Weâve spent decades telling kids to major in computer science, and then bamâAI tools like ChatGPT come along and start automating half of the work programmers do.
Turns out, âfuture-proofâ is just a fancier way of saying, âWeâre guessing, but with confidence.â
b. cultural myopia
Hereâs the thingâanother sneaky problem with the âfuture-proofâ narrative is its cultural myopia. It assumes everyone has equal access to the skills weâre prioritizing.
Spoiler alert: They donât.
Take coding, for example. In Silicon Valley, learning to code is like a rite of passage. But what about rural villages in Vietnam or townships in South Africa? In many parts of the world, internet access is still a luxury. Telling someone in a remote community to âlearn Pythonâ is like telling someone stranded in the desert to âjust build a jet ski.â Itâs totally disconnected from reality.
And then thereâs local knowledge. Indigenous farming techniques, traditional crafts, oral storytellingâthese arenât just cute relics of the past. Theyâre vital, adaptive skills that have kept communities alive for generations. But because they donât fit into the shiny, tech-obsessed future weâre chasing, theyâre getting pushed aside.
In fact, studies show that indigenous farming practices in South America are better equipped to combat climate change than industrial farming. These techniques improve soil health, manage water better, and support the cultivation of nutrient-rich crops that are key to indigenous diets. But who needs that when weâve got âdisruptiveâ tech, right?5
An aerial view shows a pre-Hispanic agricultural system called Waru Waru, in a field in the Acora district in Puno, Peru, on February 6, 2024.
But guess which one gets more funding and attention? The one with the shiny tech. Weâre so busy âfuture-proofingâ that weâre ignoring the tools we already have to face the challenges ahead.
c. the false promise of universality
The problem with the whole âfuture-proofâ narrative is that it pretends to be universal, but in reality, itâs just a one-size-fits-all approach crafted by, and for, the privileged. It assumes that everyone, everywhere, should aspire to the same narrow set of skills.
But hereâs the thingâthe future isnât a single rocket ship weâre all supposed to board together. Itâs a tangled mess of cultures, traditions, and needs. And by trying to cram everyone into the same mold, weâre not just limiting individualsâweâre stifling humanityâs collective potential.
So, the next time someone tells you to âfuture-proofâ your career, ask: Whose future are we talking about here? Because if weâre building a world that values tech skills over human resilience, local traditions, and cultural diversity, maybe the futureâs not worth proofing after all.
why itâs not just about skills
Alright, letâs cut to the heart of the matter. The problem isnât just the skills weâre prioritizing; itâs the question weâre asking. Right now, the whole conversation about the future of work is stuck on âWhat skills will the economy need?â And yeah, thatâs importantâbut itâs also the wrong question.
Instead, we should be asking: âWhat kind of society do we want to build?â
Because hereâs the thingâskills are just tools. Theyâre the hammers and screwdrivers of progress. But if the only thing you care about is efficiency, you end up building a world that works perfectly for machines and terribly for people.
the future we should build
So, whatâs the takeaway? Itâs not about ditching tech or scrambling to âfuture-proofâ ourselves. Itâs about flipping the whole script.
Stop asking, âHow do we prepare workers for the future?â and start asking, âHow do we design a future that works for humans?â Forget GDP charts and innovation metricsâletâs measure progress by something radical: how many people feel seen, valued, and alive.
The future isnât a smarter algorithm or a shinier gadget. Itâs us. Humans, with messy dreams and infinite potential. The point isnât to outrun change but to make sure weâre running toward something that matters.
Because if progress leaves our humanity behind, itâs not progressâitâs just a faster way to nowhere.