Skip to main content

Language Learning Apps Are Becoming Irrelevant — And It’s Not Even Close


Not too long ago, learning a new language meant committing to clunky apps that gamified your grammar lessons with neon badges and condescending owls. You had your Duolingo streaks, your Babbel audio bites, and your endless decks of flashcards designed to help you distinguish between la pomme and le problème.


And to be fair, some of them did their job reasonably well.

Babbel, for instance, always struck me as the grown-up in the room. It wasn’t obsessed with just feeding you vocabulary; it actually cared about pronunciation, sentence construction, and making you sound less like a tourist holding a phrasebook upside down. It deserved its praise. For a while, I would’ve sworn by it—especially over the dopamine-junkie design of Duolingo.

But then I did something dangerous.

I asked ChatGPT to teach me French.

And now, I can’t unsee the obvious.


The Argument for Language Apps: The Last Stand

Let’s be fair before we swing the axe.

Apps like Babbel and Rosetta Stone did solve real problems. They gave structure to chaos, turned passive screen time into semi-productive sessions, and lowered the barrier to entry for language learners everywhere.

They also:

  • Offered adaptive pathways based on level

  • Incorporated audio by native speakers

  • Provided progress tracking, lesson reviews, and micro-assessments

  • Delivered content even offline—a big deal when you’re mid-flight or dodging patchy Wi-Fi

And yes, not everyone is ready to dive into a conversation with a chatbot, however intelligent. There's still comfort in a curated curriculum and clear lesson objectives. It’s like the difference between a fitness app and hiring a personal trainer—you might want structure more than flexibility.


But Here’s the Problem: AI Doesn’t Just Match It—It Obliterates It

When I started using ChatGPT to learn French, I expected a bit of help with vocabulary.

What I got was:

  • Live pronunciation guides (with audio!)

  • Instant translation with context and tone

  • Cultural nuance explained in seconds

  • Personalized pacing, dynamic drills, and even a few sarcastic jokes when I got something wrong

I could practice writing, speaking, listening, and comprehension in real time—without being boxed into a pre-designed flow or gamified nonsense that didn’t suit my learning style.

And the kicker?

That’s just one use case out of a dozen things my paid subscription already covers.


But Wait—There’s Always Human Tutors (If You’re Into That Sort of Thing)

Of course, the last bastion of human resistance is the 1-on-1 online language tutor.

Yes, you could still pay $30 an hour for someone in a perfectly lit Zoom call to patiently correct your conjugations while you mispronounce croissant for the fiftieth time.

And maybe that works for some people. Especially if you’re secretly hoping to fall in love with your French instructor and end the lesson with a tearful "Je t’aime" before dramatically closing your laptop.

I mean sure—go for it.

But personally? Unless my tutor looks like Marion Cotillard and is also contractually obligated to flirt with me in slow, poetic French... I think I’ll stick to AI.


My Take: Relevance Down by 50%, If Not More

Sure, apps like Babbel might still hold on to some value—for people who want a hyper-structured path or who fear open-ended learning. But for anyone paying for ChatGPT (or any equivalent AI assist), the ROI on traditional language apps has already collapsed.

They’re relics of a time before your teacher lived in the cloud and responded faster than your best friend.

So, are language learning apps still relevant?

Only in the way that DVDs are still sold at airports.

Comments

Popular posts from this blog

Green Energy, Greener Bank Account

  Picture this: It’s 2030. The mid-day sun over Surat is not just browning your papad—it’s topping-up your bank account. That’s not utopian frosting; it’s the plain trajectory of India’s energy market. Why “green” demand is about to go steroidal Triple-speed global surge: The IEA’s Renewables 2024 outlook says the world will add 5,500 GW of renewable capacity between 2024-2030—three times the growth of the last six years. India is the fastest-growing major player in that pack. Home-grown sprint: In the past decade our solar base has shot from 2.8 GW to 100 GW —a 3,450 % leap.  Momentum, not a moment: Total renewables now stand above 209 GW , up nearly 16 % year-on-year .  The 500 GW North-Star: New Delhi’s policy compass is locked on 500 GW of non-fossil capacity by 2030 . Missing that target would mean missing global capital, so expect policy tail-winds, not head-winds.  Subsidies you can touch: One million homes have already tapped the PM ...

Martech 2025: Where ROI Kills Vibes, AI Plays Puppetmaster, and Ethics Is a Checkbox

You know that old line: “Half the money I spend on marketing is wasted; the trouble is, I don’t know which half” ? Well, in 2025, AI knows exactly which half — and it’s coming for your job and your punchlines. Thanks to MartechDay’s State of Martech 2025 report (shoutout to the fine print that says it’s “sponsored by vendors”), we now have a front-row seat to the shifting sands of this $500B circus. Here's what’s winning, what’s walking offstage, and which tools marketers are pretending to understand during meetings. What’s Hot (a.k.a. Please tell me this is already in your stack) AI that actually does things Not just “insights” — we’re talking orchestration. AI now builds campaigns, tests variations, personalizes content, and books yoga retreats for stressed CMOs. If your martech doesn’t come with a ‘decide for me’ button, it’s behind. Composable stacks The monoliths are out. Everyone wants to build their own frankenstack — a little CDP here, a touch of analytics th...

The Middle Management Mirage: When "People Managers" Manage to Do Nothing

I often find myself wondering: if AI is truly the future, why hasn't it replaced middle management yet? I mean, isn't that the logical step? A well-tuned Responsible AI could probably do their job better—efficiently delegating tasks, tracking progress, and most importantly, not interfering with the brilliant Individual Contributors (ICs) who are actually, you know, getting things done. If you work in tech—especially in enterprise software, whether product or services—you've likely encountered the same phenomenon. These "people managers" who are somehow entrusted with overseeing high-functioning teams despite having no discernible skills beyond scheduling meetings and writing performance reviews riddled with corporate buzzwords. If they were removed from the equation tomorrow, would anyone even notice? (Other than HR scrambling to rename their job roles to something even more vague, of course.) I dream of a future—hopefully sooner rather than later—where true leade...