arrow_back The AI Pravda
#43

Duolingo Goes AI, And You Must

In an era where artificial intelligence (AI) is reshaping industries, Duolingo, the language-learning app with 116 million users, stands at a critical juncture. Once speculated to be an early casualty of generative AI tools like ChatGPT, Duolingo has not only survived but thrived, boasting $750 million in sales and a workforce of 830 employees as of May 2025. However, the company faces unprecedented pressure to evolve in a landscape where DIY language-learning solutions, powered by smart AI prompting, threaten to outpace traditional platforms. These user-crafted alternatives, often shared on platforms like X, may lack Duolingo’s polish but offer hyper-personalized efficiency that appeals to modern learners.

In a decisive move, Duolingo’s CEO and co-founder, Luis von Ahn, issued an all-hands email last week, declaring the company’s shift to an AI-first strategy. This directive, echoing the company’s mobile-first pivot in 2012, signals a profound transformation in how Duolingo operates, innovates, and delivers on its mission to make language education accessible to all. Below is an expanded and polished version of the narrative, incorporating von Ahn’s letter and analyzing its implications for Duolingo’s future.

The Context: AI as a Disruptor and Opportunity

When ChatGPT burst onto the scene in November 2022, it sparked widespread speculation that language-learning platforms like Duolingo could become obsolete. With AI’s ability to generate tailored lessons, simulate conversations,“ and provide instant feedback, tech-savvy users began experimenting with DIY language trainers built on large language models. Posts on X have highlighted these solutions, praising their flexibility and cost-effectiveness over Duolingo’s gamified but structured approach.

Yet, Duolingo has defied the doomsayers. Since the “ChatGPT moment,” its stock has surged nearly sixfold, reflecting investor confidence in its adaptability. With 116 million active users and a robust revenue stream, the company remains a leader in the edtech space. But von Ahn, a visionary who previously invented reCAPTCHA, recognizes that survival demands more than resting on laurels. The rise of AI is not just a threat—it’s a transformative opportunity to redefine how Duolingo teaches languages.

The AI-First Manifesto: Luis von Ahn’s Vision

In his email to employees, von Ahn draws a parallel to Duolingo’s mobile-first bet in 2012, which earned it the 2013 iPhone App of the Year and fueled organic growth through word-of-mouth. “This time, the platform shift is AI,” he writes, emphasizing urgency: “When there’s a shift this big, the worst thing you can do is wait.” The letter outlines a strategic overhaul, positioning AI as the cornerstone of Duolingo’s operations and innovation. Below is a refined excerpt of the email, preserving its core message while enhancing clarity and tone:

Subject: Duolingo’s Next Chapter: An AI-First Future

Dear Duos,

In 2012, we bet on mobile when others saw it as a secondary platform. That decision transformed Duolingo, earning us the 2013 iPhone App of the Year and sparking the viral growth that defines us today. Today, we face a similar inflection point. The platform shift is AI, and we’re committing to an AI-first future.

AI is already reshaping how work gets done—here and across industries. It’s not a question of “if” or “when”; it’s happening now. To stay true to our mission of making language education accessible to all, we must embrace this change with boldness and urgency. Hesitation risks falling behind, just as it did for companies that clung to desktop-first models a decade ago.

AI isn’t merely a tool for efficiency; it’s a catalyst for innovation. Our mission requires us to deliver vast amounts of high-quality content to learners worldwide, a task that manual processes can’t scale. By replacing slow, labor-intensive content creation with AI-driven workflows, we’ve already accelerated our ability to serve learners. Without AI, scaling to meet global demand would take decades. With it, we can deliver personalized, engaging content faster than ever.

AI also unlocks groundbreaking features like our Video Call tool, which brings the quality of human tutoring within reach for the first time. This is just the beginning. To fully realize AI’s potential, we must rethink our processes from the ground up. Incremental tweaks to human-centric systems won’t suffice—we need bold, transformative change.

To guide this shift, we’re introducing clear principles:

Automation First: We’ll phase out contractor work that AI can perform, freeing resources for innovation.

AI in Talent: Proficiency in AI tools will be a key factor in hiring and performance evaluations.

Strategic Headcount: New hires will be approved only for teams that maximize automation.

Reimagined Workflows: Every function will launch initiatives to fundamentally redesign how work is done.

Let me be clear: Duolingo remains a company that deeply values its employees. This shift isn’t about replacing our talented Duos with AI—it’s about empowering you to focus on creative, high-impact work. We’re investing in training, mentorship, and AI tools tailored to your roles to ensure you thrive in this new era.

Change can feel daunting, but it’s also exhilarating. By embracing AI, we’re not just adapting to the future—we’re shaping it. Together, we’ll deliver on our mission like never before, while staying ahead of the curve in a rapidly evolving world.

With gratitude and excitement, Luis

Seven Key Takeaways

Von Ahn’s letter is more than a corporate memo—it’s a blueprint for navigating the AI revolution. Below are seven critical points that every business leader, investor, and employee should heed, drawn from Duolingo’s AI-first pivot:

  1. Seize the Platform Shift: Just as mobile redefined tech in the 2010s, AI is the defining platform of the 2020s. Companies that act decisively, as Duolingo did in 2012, will outpace competitors who hesitate.

  2. Scale with AI: Manual processes are a bottleneck in content-heavy industries. AI enables rapid scaling, allowing Duolingo to produce diverse, personalized learning materials at unprecedented speed.

  3. Innovate Beyond Efficiency: AI isn’t just about cutting costs—it’s about creating features like Video Call that were previously unimaginable, elevating the user experience to rival human tutors.

  4. Rethink, Don’t Tweak: Incremental changes to legacy systems won’t suffice. Duolingo’s commitment to rebuilding processes from scratch ensures AI is fully integrated into its DNA.

  5. Invest in People: An AI-first strategy doesn’t mean replacing humans. By automating repetitive tasks, Duolingo empowers employees to focus on creative problem-solving, supported by robust training and tools.

  6. Move Fast, Accept Imperfection: Waiting for perfect AI solutions risks missing the moment. Duolingo prioritizes speed, accepting minor quality trade-offs to maintain momentum.

  7. Align with Mission: AI must serve the company’s core purpose. For Duolingo, AI accelerates its mission to democratize education, ensuring every decision aligns with this goal.

Implications for Duolingo’s Future

Von Ahn’s letter hints at significant operational changes: a hiring freeze, reduced reliance on contractors, and a potential workforce realignment. While framed with care—reflecting von Ahn’s 32 years in the U.S. and his sensitivity to corporate optics—these shifts suggest a leaner, more automated Duolingo. Employees will need to adapt to new performance metrics centered on AI proficiency, and some roles may evolve or disappear.

For shareholders, the AI-first strategy is a double-edged sword. On one hand, Duolingo’s stock surge since 2022 reflects its resilience and growth potential. AI-driven efficiencies could further boost margins, while innovative features like Video Call may attract new users. On the other hand, the costs of retraining staff, overhauling systems, and navigating a competitive AI landscape pose risks. Whether Duolingo sustains its growth in 2025–2026 depends on execution—von Ahn’s track record inspires confidence, but the stakes are high.

A Broader Lesson: No Business Is Immune

Duolingo’s pivot underscores a universal truth: no industry can afford to ignore AI’s transformative power. From edtech to healthcare to retail, companies must rethink their processes, empower their teams, and align innovation with their core mission. Duolingo’s journey from a mobile-first disruptor to an AI-first leader offers a playbook for survival in an era of relentless change.

As von Ahn writes, “Change can be scary, but I’m confident this will be a great step.” For Duolingo, its employees, and its learners, the AI-first future is not just a necessity—it’s an opportunity to redefine what’s possible.

Mikael Alemu Gorsky

Mikael Alemu is an educator and researcher, and the author of two programs: Agentic Software Engineering, on building software with AI agents, and Building AI-Native Agentic Systems, on building software that thinks.

He teaches at the Holon Institute of Technology, near Tel Aviv, where Agentic Software Engineering runs as a credit-bearing course. He is an educator and researcher.

Nine published works, 76 citations. A 350-page textbook under contract with a major academic publisher.

Teaching and programs

Agentic Software Engineering — program, preprint and textbook

The discipline of structured, auditable human-agent workflows for building software. The human frames, specifies and judges. The agent executes. Nineteen modules in four parts, built on a running project called Tribunal, a web application in which agents argue opposing sides of a case and a judge agent decides. Taught for credit at the Holon Institute of Technology.

Agentic Software Engineering curriculum

Building AI-Native Agentic Systems — program, paper and book in writing

How to build systems that hold a language model as a working component, and treat that component as what it is: stochastic, slow and metered. Fourteen modules in four parts, about seventy hours. The running project is the Observatory, a news agency that watches sources, selects what matters and publishes on a cadence.

Research and analytics

Publications — journals and proceedings

Nine works, 76 citations. Research on artificial intelligence in education, with Ilya Levin and Alexei Semenov.

The AI Pravda — LinkedIn newsletter

Critical analysis of artificial intelligence and its effect on work and society. 5,500+ subscribers. The complete archive of 103 issues (2023–2026) is published in full at mgorsky.net/theaipravda.

Subscribe to The AI Pravda on LinkedIn

Pro bono

AI for seniors — free workshop

Helping older adults use everyday AI tools. Delivered to Russian-speaking communities in Israel.

For older adults, artificial intelligence is about preserving quality of life, maintaining autonomy, and sustaining the feeling of independence that defines dignified aging. For seniors who have emigrated, AI becomes a bridge: it can translate documents, explain official letters, help compose emails in the local language, and guide users through government websites. The workshop has been delivered to Russian-speaking communities in Israel, where participants — many of them in their 70s and 80s — discovered that AI could help them read Hebrew documents and communicate with Israeli institutions.

Startup competitions — unpaid time

Judging and mentoring early-stage ventures. Helping teams clarify their value proposition, assess technical feasibility, and prepare for the realities of scaling an AI product.

AC/VC LinkedIn group — community

A group for developers and students working with coding agents. The community shares practical insights, code examples, tool comparisons, and honest assessments of what works in production.

Join the AC/VC LinkedIn group

Recent

Important Links