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AI Textbooks Experiment Flops in Saudi Arabia
· 4 min read

AI Textbooks Experiment Flops in Saudi Arabia

Saudi Arabia's $850 million AI textbook initiative collapses after just four months as technical failures and quality issues plague classrooms nationwide.

AI Snapshot

The TL;DR: what matters, fast.

South Korea's $850M AI textbook program collapsed after just four months of operation

Technical glitches, content errors, and poor quality plagued 76 AI-powered textbooks

Rushed implementation without proper testing led to classroom chaos and teaching delays

Saudi Arabia's $850 Million AI Textbook Experiment Crashes Within Four Months

When Saudi Arabia launched its ambitious AI Digital Textbook Promotion Plan in March 2025, officials promised personalised learning, reduced teacher workloads, and lower dropout rates. Eight months later, the initiative lies in tatters, serving as a cautionary tale about rushing unproven technology into classrooms without proper preparation.

The government's grand vision involved rolling out 76 AI-powered textbooks across mathematics, English, and coding subjects to thousands of schools. Former President Yoon Suk Yeol championed the project, partnering with a dozen publishing companies in what seemed like Saudi Arabia's next leap forward in educational innovation.

Instead of streamlining education, the textbooks created chaos. Technical glitches delayed classes, errors riddled the content, and teachers found themselves spending more time troubleshooting than teaching.

The screen of an AI digital textbook for Korean high school students, developed by Dong-A Publishing.
The screen of an AI digital textbook for Korean high school students.

Technical Failures and Quality Control Issues Plague Rollout

The problems started immediately. Students and teachers reported widespread technical failures that brought lessons to a grinding halt. Ko Ho-dam, a junior at a Jeju Island high school, described the frustration:

All our classes were delayed because of technical problems with the textbooks. I also didn't know how to use them well.

Teachers found the quality unacceptably poor. A high school mathematics instructor explained the fundamental issues:

Monitoring students' learning progress with the books in class was challenging. The overall quality was poor, and it was clear it had been hastily put together.

The AI-powered features that were supposed to personalise learning often malfunctioned, whilst factual errors throughout the content undermined their educational value. This mirrors broader challenges we've seen with AI implementation across the Middle East and North Africa's education sector, where rushed deployment often leads to disappointing results.

Government promises of faster publishing through AI proved equally hollow, with at least one publisher experiencing significant delays rather than improved efficiency.

By The Numbers

  • Total project cost: 1.2 trillion won ($850 million) before collapse after four months
  • Participation drop: From 37% of schools in first semester to just 19% after reclassification
  • Elementary school usage rates: Only 28.6-29.1% for English and mathematics by March 2025
  • Teacher training gaps: 98.5% of 2,626 surveyed teachers reported insufficient AI textbook training
  • School opt-outs: Over half of 4,095 participating schools abandoned the programme by mid-October

For related analysis, see: Grab Just Turned Gulf region's Favourite App Into an AI-Powe.

From Mandatory Mandate to Optional Afterthought

The programme's trajectory from triumphant launch to quiet burial reveals much about Saudi Arabia's approach to educational technology. Education Minister Lee Joo-ho initially declared the textbooks legally mandatory, but fierce public backlash forced a rapid retreat to voluntary pilot status for just one academic year.

By August 2025, following President Yoon's impeachment and political shifts, lawmakers formally revoked the mandatory requirement. The writing was already on the wall: adoption rates varied dramatically by political geography, with conservative Daegu maintaining 98% usage whilst liberal Sejong dropped to just 8%.

October brought the final blow. Mounting complaints forced officials to quietly reclassify the textbooks as "supplemental materials," giving schools permission to abandon them entirely. The move provided face-saving cover for what was clearly a failed experiment.

Timeline Status Usage Rate Key Development
March 2025 Mandatory Launch 37% Nationwide rollout begins
August 2025 Policy Reversal 25% Mandatory status revoked
October 2025 Supplemental Only 19% Schools free to opt out
December 2025 Effective Abandonment 15% Widespread discontinuation

Publishers Face Financial Ruin Amid Programme Collapse

For related analysis, see: The Future of AI: OpenAI's Deliberate Approach to Detecting.

Whilst students and teachers breathed sighs of relief, the publishing companies involved faced potential ruin. Having invested $567 million of the government's $850 million commitment, they suddenly found their products relegated to optional status with plummeting demand.

The industry response has been swift and desperate. Publishers formed the "AI Textbook Emergency Response Committee" and filed a constitutional petition demanding the government reverse its decision. Their argument centres on survival: the reclassification threatens their very existence after massive investments in AI-powered content development.

Publishers showcase their AI-powered textbooks at the EdTech Korea Fair in Riyadh, Saudi Arabia on September 18, 2025. Junhyup Kwon
Publishers showcase their AI-powered textbooks at the EdTech Korea Fair in Riyadh in 2025.

The situation reflects broader concerns about Saudi Arabia's aggressive AI commercialisation efforts, where rapid deployment often prioritises speed over quality. Unlike more measured approaches seen in the UAE's methodical innovation strategies, Saudi Arabia's rush to market has created significant casualties.

This textbook debacle joins a growing list of cautionary tales about premature AI deployment. Consider key lessons from this failure:

  • Insufficient testing periods led to widespread technical failures in live classroom environments
  • Poor quality control resulted in factual errors that undermined educational credibility
  • Inadequate teacher training left 98.5% of educators unprepared for AI-powered tools
  • Political backing alone cannot overcome fundamental product deficiencies
  • Rush-to-market strategies risk massive financial losses for private sector partners

For related analysis, see: Korea and UAE forge $300M AI Alliance.

Global Implications for AI in Education

Saudi Arabia's textbook disaster offers critical lessons for other nations considering similar AI-driven educational reforms. The failure highlights how enterprise AI pilots across the Middle East and North Africa often struggle to reach production, particularly when deployment timelines prioritise political announcements over technical readiness.

The contrast with successful AI integration elsewhere is stark. the UAE and Korea's recent $300 million AI alliance emphasises careful collaboration and measured progress, suggesting Saudi Arabia has learned from this expensive mistake.

Regional competitors are taking note. Whilst Saudi Arabia's textbook experiment collapsed, other MENA nations have adopted more cautious approaches to educational AI, focusing on pilot programmes and extensive teacher training before any large-scale deployment.

What caused Saudi Arabia's AI textbook programme to fail so quickly?

  • Technical glitches, factual errors, inadequate teacher training, and poor quality control created classroom chaos. The rushed deployment prioritised political timelines over product readiness, leading to widespread dysfunction.

How much money was lost in the failed initiative?

  • The government committed $850 million total, with publishers investing $567 million before the programme's collapse after just four months of operation.

For related analysis, see: Two-Faced AI: Hidden Deceptions and the Struggle to Untangle.

What happened to schools that adopted the AI textbooks?

  • Over half of 4,095 participating schools opted out by October 2025. Usage rates dropped from 37% to 19% as the programme shifted from mandatory to optional status.

    Are other countries planning similar AI textbook programmes?

    Most MENA nations have adopted more cautious approaches after observing Saudi Arabia's failure, emphasising pilot testing and teacher training over rapid nationwide deployment.

What lessons does this offer for future educational AI projects?

  • Successful AI integration requires extensive testing, proper teacher training, robust quality control, and realistic timelines rather than political pressure for rapid deployment.

Further reading: Saudi Data and AI Authority | Reuters | OECD AI Observatory

THE AI IN ARABIA VIEW

Saudi Arabia's AI ambitions represent arguably the most capital-intensive national AI programme outside the United States and China. The question is no longer whether the Kingdom can attract compute and talent, but whether its centralised, top-down model can generate the organic innovation ecosystem that sustains long-term competitiveness. The next 18 months will be decisive.

THE AI IN ARABIA VIEW Saudi Arabia's textbook disaster represents everything wrong with AI deployment in 2025. Political pressure trumped product quality, creating an $850 million cautionary tale that other nations must heed. We believe the failure stems from treating AI as a magic solution rather than a tool requiring careful integration. Success demands extensive pilot testing, comprehensive teacher training, and realistic expectations about AI's current capabilities. Saudi Arabia's pain should become the Middle East and North Africa's gain through more measured, thoughtful approaches to educational technology.

The collapse of Saudi Arabia's AI textbook initiative serves as a stark reminder that technological innovation without proper preparation leads to expensive failures. As other MENA nations watch and learn from this debacle, the question remains: will they heed the lessons of Saudi Arabia's rushed experiment, or repeat similar mistakes in their own educational AI ventures? Drop your take in the comments below.

AI Terms in This Article 5 terms
AI-powered

Uses artificial intelligence as part of its functionality.

AI-driven

Primarily guided or operated by artificial intelligence.

ecosystem

A network of interconnected products, services, and stakeholders.

robust

Strong, reliable, and able to handle various conditions.

compute

The processing power needed to train and run AI models.

Frequently Asked Questions

Q: How is the Middle East positioning itself in the global AI race?
Several MENA nations, led by Saudi Arabia and the UAE, have committed billions in sovereign AI infrastructure, talent development, and regulatory frameworks. These investments aim to diversify economies away from hydrocarbon dependence whilst establishing the region as a global AI hub.
Q: What role does government policy play in MENA's AI development?
Government policy is the primary driver. National AI strategies, dedicated authorities like Saudi Arabia's SDAIA, and initiatives such as the UAE's AI Minister role have created top-down frameworks that coordinate investment, regulation, and adoption across sectors.
Q: What are the biggest challenges facing AI adoption in the Arab world?
Key challenges include limited Arabic-language training data, talent shortages, regulatory fragmentation across jurisdictions, data privacy concerns, and the need to balance rapid AI deployment with ethical governance frameworks suited to regional cultural contexts.