The Problem No One Is Solving in the Ed-Tech Industry
The Ed-Tech industry is large, growing, and full of innovation—but it also hides serious structural issues that most companies (and investors) avoid confronting. Many solve surface problems; few dare to attack the deep, systemic ones.
Here are some of the major industry-level problems that are under-addressed today, along with why they matter and what can be done.
1. Privacy, Security & Vendor Accountability Gaps
Ed-Tech platforms collect massive amounts of student and institutional data—often under opaque terms. But institutions frequently lack full visibility into how vendors manage, secure, or use that data. A recent study of higher education institutions found that privacy and security are major hurdles in EdTech acquisitions, and that institutions struggle to hold vendors accountable because of power asymmetries and lack of system transparency. (arXiv)
This gap is critical, especially as data leaks and misuse risk serious harm to vulnerable learners and damage trust across the industry.
2. Weak Evidence of Real Impact (Beyond Engagement Metrics)
Many Ed-Tech tools look great in terms of “engagement, clicks, usage time” — but these numbers don’t reliably correlate with actual learning gains, retention, or long-term comprehension. Educators estimate that ~85% of EdTech tools are a poor fit or poorly implemented in real institutions. (code acts in education)
In other words: the industry often prioritises “stickiness” over educational substance. That’s a misalignment that few companies address head-on.
3. Ethical Risks & Unintended Harms from AI / LLM Integration
Ed-Tech is increasingly embedding AI and large language models (LLMs) for tasks like content generation, automated assessments, and feedback. But that brings serious challenges: bias, lack of transparency, hallucinations, academic integrity issues, and loss of human agency. (arXiv)
One study flagged a 59% self-plagiarism index in some generative AI usage in educational settings—pointing to blurred lines in originality. (SpringerOpen) Another warns that generative AI tools may undercut critical thinking, and institutions may not be ready for this shift. (ScienceDirect)
While many EdTech firms use “AI features” as selling points, few deeply wrestle with these downstream harms at the industry level.
4. Overdependence on Institutions & Centralized Gatekeepers
The Ed-Tech industry is heavily scaffolded on institutions (schools, universities) and platform gatekeepers (app stores, LMS providers). Companies build to meet institutional procurement cycles, compliance needs, and top-down requirements—often at the expense of innovation, agility, or user-led approaches.
This model discourages alternate paths, such as community-driven, learner-first distribution. It consolidates power with a few institutions and slows down or kills experimentation that doesn’t “fit the mold.”
5. Industry Panic from AI / Market Disruption Pressures
Ed-Tech is under increasing pressure from the rapid democratization of AI tools. In 2024 alone, global investment in EdTech shrank to ~$3 billion—down sharply from the pandemic highs of ~$17 billion. (Financial Times) Some companies, like Chegg, are laying off staff as they restructure to respond to competition from freely available AI tools. (Reuters)
The industry is being forced to compete not just on products, but with emergent AI capabilities that bypass traditional EdTech models. Yet many firms are responding by copying rather than differentiating or addressing core industry flaws.
Why No One Is Solving These (Yet)
The problems are hard, systemic, multi-stakeholder, and often reduce short-term monetisation potential.
Many firms prefer focusing on features, UX, growth, and funding, rather than grappling with trust, ethics, or accountability.
Institutions are slow-moving, risk-averse, and often unwilling to experiment beyond safe bets.
Regulatory frameworks around data, AI, and education are still lagging, giving many players cover to avoid deep responsibility.
What the Industry Must Do — and What We Stand For
To truly move forward, the Ed-Tech industry must:
Build transparent, auditable systems that institutions can trust.
Measure educational impact, not engagement alone.
Use AI responsibly with human oversight, explainability, and bias mitigation.
Diversify paths to learners, reducing overreliance on institutional gatekeepers.
Proactively manage disruption rather than just react to it.
At RUNOGAMES, we aim to design our ed-tech + gaming hybrid products with these principles baked in—not tacked on. Our goal: not just to create fun, useful tools, but to shift how the industry operates.