For years, the United States has treated its reading crisis as an early grades problem. This narrow focus misses the bigger challenge: the “comprehension wall” that many students hit in middle school. 

As students move into middle school, they no longer focus on learning to read. They must understand what they are reading. Right now, they struggle to do so: Only 30% of eighth graders were proficient in reading in 2024, the lowest level in 30 years.

I witnessed this problem firsthand as a principal and school network leader. We invested significant time in the early grades teaching and reinforcing phonics, phonemic awareness and fluency. The work paid off, as students made strong gains through fourth grade. Then, in fifth grade, performance dropped as texts became more complex and writing demands increased.

That is when many students hit the “comprehension wall.” They can decode the words on the page, but meaning breaks down when a passage uses complex sentences, sophisticated vocabulary, old-fashioned language, hidden meaning or unfamiliar subject matter.

The consequences are hard to miss. Students who cannot deeply engage with text can fall behind not only in English language arts, but science, social studies, math and every subject that depends on reading to learn. Their confidence can erode, with many choosing to hide their confusion rather than ask for help.

The diverse needs that exist in almost every middle school classroom make the challenge harder. Some students struggle to decode, some can read the words but lack the vocabulary or background knowledge to understand the meaning, and some read far above grade level and need to be challenged. 

The problem is not a lack of educator commitment. It is a lack of scalable support.

Opportunities and Challenges

I am generally skeptical of the artificial intelligence (AI) hype in education, especially of suggestions that technology can replace teachers, strong curriculum or the critical relationships that often power learning. But middle school reading is one area where carefully designed AI-supported tools can help if they are built to strengthen instruction rather than shortcut it.

The opportunity lies in custom-built literacy tools, based on the science of reading, that use AI to diagnose student needs precisely, provide timely feedback and help teachers differentiate support without lowering expectations.

The opportunity is not to hand students a generic chatbot and hope comprehension improves. The Brookings Institution found that AI can either enrich or diminish student learning depending on how it is used, and recommended schools use tools that “teach, not tell.” 

Schools can use AI to create better support for the reading work educators already know students need: a higher volume of reading, more precise diagnosis, timely feedback, opportunities to revise their thinking and ways to access grade-level texts when the work is difficult.

One of the biggest challenges for teachers is reading assessment. In middle school, assessment often focuses on whether students have mastered a standard. But reading comprehension is not a simple sequence of discrete skills. A student may understand the main idea in one unit and struggle with that same standard in the next because the texts are more complex, the vocabulary is less familiar or the background knowledge demands are higher.

Educators need a more nuanced picture of what students need. Instead of relying only on stand-alone assessments, well-designed AI tools can analyze students’ everyday work, identify text-specific and longitudinal patterns and give teachers clearer visibility into where comprehension is breaking down.

AI can also help with differentiation. For example, students could read a complex nonfiction article in class and work in pairs to unpack its meaning; but if they struggle, AI asks a just-right follow-up question. They are redirected to a specific sentence or paragraph to reread. They can access a vocabulary definition or brief background knowledge. They have a chance to revise after feedback that pushes them back into the text rather than away from it.

One teacher often cannot provide this level of individual support in real time to 26 students with different needs. There can be a greater impact on struggling readers, who are too often removed from rigorous learning and complex texts altogether, and are given watered-down materials instead of better access points. Over time, the achievement gap becomes not just a reading gap, but also a knowledge gap.

Early results are promising. In one large urban district in Texas and another very diverse district in Tennessee, middle schools using an AI-supported literacy model saw significantly stronger year-over-year growth on state reading assessments than comparable schools that did not use the model.

These examples suggest AI-supported literacy intervention can help educators provide more responsive support at-scale when aligned with strong instruction, grade-level content, teacher support and consistent implementation.

If AI becomes a shortcut, novelty, or substitute for high-quality instruction, it will fail students. If it is used mainly to help students complete assignments faster, it will weaken the habits students need to build: reading closely, asking questions, explaining their thinking and revising their ideas.

Ask Before You Act

The best way to improve student reading achievement is still to read a lot, and we should look for tools that support a higher volume of reading with increasingly complex texts.

In the last decade, schools have taken a crucial step and replaced incoherent, homegrown materials with vetted curricula that systematically build knowledge and vocabulary, expose students to complex grade-level texts and spiral essential reading habits.

Before adopting AI-supported reading tools, educators and district leaders should ask hard questions, such as:

• Does the tool reinforce or detract from high-quality curricular materials? Does the tool keep students engaged with grade-level text or does it lower the bar? 

• Does it require students to return to the text, explain their thinking and revise their responses? 

• Does it give teachers visibility into where students are struggling? 

• Does it support discussion, writing and teacher-led instruction or does it isolate students on screens? Does the tool lead to more students doing more reading, writing and thinking? 

• Does it help students build reading stamina and a love of reading?  

These questions matter because the goal is not to make reading easier by removing the cognitive work. The goal is to make rigorous reading more accessible so more students can participate in that work.

We cannot continue treating middle school reading challenges as an inevitable byproduct of earlier gaps. Nor can we assume that students who reached adolescence without strong literacy foundations are beyond meaningful intervention.

For middle school students who have spent too long being told that reading is something they should have already mastered, that support could make all the difference.