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There is no evidence here that millions of people have left traditional classes for AI-powered courses. The available numbers show rapid adoption of learning platforms and AI tools, while a small but growing body of research suggests some AI-enabled instruction can improve learning. Those findings do not prove that AI courses are replacing schools, in-person teaching, or conventional online courses—or that they work better for every learner.
Are AI-powered courses better than traditional learning?
Sometimes, in specific settings; not as a general rule. A World Bank synthesis published on August 3, 2026, pooled 191 effect sizes from 14 studies in ten economies. It estimated that adaptive and AI-enabled interventions improved learning outcomes by 0.125 standard deviations over traditional instruction. AI-powered tutoring or instruction alone had a mean estimate of 0.12 standard deviations.
These are average effects across a defined set of interventions, not a guarantee that any course marketed as AI-powered will produce the same result. The synthesis combines adaptive learning and AI-enabled approaches; it is not a head-to-head verdict on all current generative-AI courses versus all classroom teaching. The authors found no evidence that generative tools outperform earlier technologies, and said the comparison remained uncertain. They also described the evidence base as narrow: it included no low-income settings, and only two studies reported costs.
A 2025 randomized controlled trial in an undergraduate Harvard physics course offers a more specific example. Among 194 participants, students using a custom AI tutor learned significantly more in less time than students in the active-learning classroom condition. That is promising evidence for one carefully designed tutor in one course—not proof that AI courses broadly outperform traditional teaching.
Why are people switching to AI courses?
Many are clearly using online learning platforms and AI learning tools, but the available figures measure reach, enrollments, or access—not people leaving conventional education. They also count different things, so they should not be treated as equivalent.
| Measure | What was reported | What it does—and does not—show |
|---|---|---|
| Coursera platform reach | The World Bank’s 2025 Digital Progress and Trends Report said Coursera had more than 170 million learners globally as of April 2025, equivalent to 5 percent of the global workforce. | Shows reported platform reach, not how many people stopped attending school or replaced another form of learning. |
| Coursera GenAI enrollments | The same report recorded more than 8 million enrollments across nearly 700 GenAI courses by April 2025. Enrollments were 12 times higher than before ChatGPT’s late-2022 launch. | Enrollments can include repeat enrollments; this is not necessarily a count of unique learners or course completions. |
| Khanmigo access | Khan Academy reported 2.0 million people globally had access to Khanmigo at some point during school year 2024–25. The group included students, educators, and parents. | Measures access to the AI tutor, not continuous use or a move away from classroom instruction. |
| Khan Academy yearly active learners | Khan Academy separately reported 104.9 million yearly active learners. | This is a platform-wide learner figure, not the Khanmigo-access count and not evidence of displacement. |
These figures establish interest and reach. They do not establish why someone enrolled, whether they completed a course, or whether they substituted it for school, college, workplace training, or another online course. No population-level figure in the cited material measures people leaving traditional instruction specifically because of AI-powered courses.
Can an AI tutor actually help you learn?
It can provide useful support when it is designed to help learners work through material rather than simply hand over answers. The OECD and Fondazione Agnelli describe uses such as explaining concepts, generating practice, giving immediate feedback, and supporting revision. Their report, summarizing evidence available through October 2025, states: “Evidence on the effectiveness of AI tools and assistants remains mixed.” It also cautions that some studies concern older AI versions, so their results may not map neatly to current tools.
The key question is what the learner has to do. A tutor that prompts retrieval, asks for an explanation, provides targeted practice, and corrects misunderstandings may support active learning. A tool that supplies polished answers with little effort from the learner can make it easier to avoid the thinking and practice needed to build understanding. The OECD/Fondazione Agnelli report flags overreliance and offloading as risks; those risks are reasons to assess how a course works, not proof that every learner will experience harm.
How do popular AI-learning options differ?
These examples represent different formats, not interchangeable versions of a single kind of “AI course.” Their published user or outcome figures also measure different things.
| Option | Format and reported support | What its published figures establish |
|---|---|---|
| Coursera | Online courses and programs, including GenAI courses. | The World Bank’s 2025 report gives platform reach and enrollment figures. Separately, Coursera and The Harris Poll reported in 2025 that 91 percent of surveyed learners had at least one positive career outcome after a course or program. That is a platform-published survey of learners, not a controlled estimate that the course caused the outcome. |
| MIT Learn | MIT describes it as an AI-enabled hub for non-degree learning. Its AskTIM assistant can support learning journeys and syllabus questions, reinforce material, and tutor learners in select offerings. | MIT reported that 98 percent of MIT Learn content was free in its 2024–25 report. MIT Vice Provost for Open Learning Dimitris Bertsimas described the goal as opening access to MIT’s digital learning opportunities for millions; that is an access ambition, not a measured active-user count. |
| Khan Academy and Khanmigo | Khan Academy’s learning resources are paired with Khanmigo, an AI tutor. | Khan Academy’s school-year 2024–25 report gives separate measures for people who had access to Khanmigo and yearly active learners on the wider platform; neither shows that learners left traditional instruction. |
Before choosing, check the current course’s subject coverage, teaching format, practice and feedback, human-help options, accessibility, and credential value. The cited reports do not provide a like-for-like learning-outcome comparison across these three services, and their metrics cannot substitute for one.
Rank #4
- Students build unmatched deductive-reasoning skills as they become crime-solving stars
- Most scenarios have more than one plausible outcome, allowing individuals or groups to broadly interpret evidence
- Includes interpretive handwriting, body language, fingerprinting, and many more activities
How to decide whether an AI course fits your needs
- Start with the goal. If you need a recognized credential, verify who issues it and whether employers, schools, or licensing bodies you care about accept it. If you need help understanding one difficult topic, an AI tutor or focused learning resource may be a better fit than a full program.
- Look for learning activity, not just generated content. Check whether lessons make you recall, practice, explain, and apply ideas, and whether feedback identifies and corrects mistakes.
- Check the route to human help. For complex or high-stakes subjects, find out whether an instructor, tutor, or other qualified person can address questions the AI cannot resolve.
- Test accuracy and understanding. Treat an AI explanation as something to verify, especially when an error could matter. Try solving a new problem or explaining the idea without assistance to see whether you have learned it.
- Compare the real commitment. Review current access terms, total cost, course workload, and what is included before enrolling; platform-wide reach or a reported positive outcome does not tell you whether a particular program is right for you.
What the evidence can—and cannot—tell you
The best-supported conclusion is narrower than the headline claim: AI-assisted and adaptive learning are attracting substantial use, and some studies find learning benefits in particular designs and settings. The evidence does not show that millions have abandoned traditional learning, that AI courses reliably beat conventional teaching, or that higher platform enrollment translates into better outcomes. For now, judge a course by the work it asks you to do, the quality of its feedback, and whether it meets your specific learning goal—not by the presence of an AI label.
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