Here’s a prediction: around 2028, books are going to make a quiet comeback.
Not because people suddenly rediscover how nice it is to hold a paperback. But because professionals, leaders, and serious learners will start noticing something feels off. They can talk fluently about almost any topic. They can get an answer to almost any question in seconds. And yet their thinking feels… thinner than it used to.
How reading lost the plot
The data on this is stark. According to the Monitoring the Future study, which has tracked high school seniors for decades, we are witnessing a historic flip in how we spend our leisure time:
- In 1976, nearly 40% of high school seniors read six or more books for pleasure annually. Only 11.5% read zero.
- By 2022, those numbers had functionally inverted. Only 13% read six or more books, while 41% reported reading zero books for fun in the last year (Source: Financial Times).
For a long time, books and television coexisted in a manageable trade-off.
Then came the phone — infinite scroll, short-form video, content engineered to hold attention for seconds at a time. The kind of focused reading a book demands started to feel hard.
And then came AI. For many, it felt like the ultimate shortcut: why read a book when you can just ask?
The AI blind spots worth knowing about
AI is genuinely useful — and it’s only getting better. But it has a few blind spots that don’t get talked about enough.
The hidden limits of AI
AI is a powerful tool. But it has a few blind spots most people don't realize.
- Public websites & blogs
- News articles
- Wikipedia & open encyclopedias
- Social media & forums
- Some academic papers
- Most books & long-form writing
- Proprietary research
- Unpublished expertise
- Specialized professional knowledge
- Hard-won institutional know-how
It tends to agree with you
Ask AI a question and it works within your existing assumptions. A great book doesn't care what you think going in — it takes you somewhere unexpected.
It's trained to be encouraging
AI models are shaped by human feedback — and people rate agreeable responses higher. The result is a built-in lean toward validation over honest critique.
It wants you to come back
Many AI systems are optimized for engagement. That's not the same as being optimized for making you think more clearly.
AI is trained on what’s publicly available online — a fraction of the expertise that actually exists. Specialized fields, academic niches, decades of professional know-how recorded in books and never digitized: most of it simply isn’t there. When you ask AI about those areas, it answers confidently anyway.
But the subtler problem is this: AI is responsive by design. Ask it a question and it works within your frame, your assumptions, your starting point. It’s very good at giving you more of what you already think — just organized more clearly.
A great book does something different.
What reading actually does for you
What books give you that nothing else does
Not nostalgia. Genuine advantages — especially in a world full of AI.
A great author takes you somewhere you didn't plan to go
Reading means following someone else's thinking on their terms. That author spent years building an argument — and you get to inherit it. There's nothing quite like arriving somewhere new in your thinking and realizing a book took you there.
Struggling through something is how you actually learn it
Rereading a tough paragraph, sitting with a concept that doesn't click yet, slowly watching an argument build — this is where real understanding lives. It feels slower. It sticks longer.
Books have nothing to sell you
A book doesn't send you notifications. It doesn't get softer because you seem annoyed. It just makes its case, chapter after chapter, without any interest in whether you come back. That kind of honesty is rarer than it sounds.
They hold knowledge that AI genuinely can't reach
Decades of specialized expertise, niche academic work, and hard-won professional knowledge lives in books that were never digitized, never indexed, never scraped. The people who've read that material have a real edge — and most people have no idea.
The best books take you somewhere you didn’t plan to go. Not because the author is being difficult, but because they spent years thinking hard about something — and following that thinking reshapes how you see the topic. You arrive at chapter twelve with a framework you didn’t have in chapter one.
That process is slow. It sometimes involves re-reading, confusion, and pushing through. That slowness is not a bug; the friction is the catalyst for genuine retention. Strip it out and you get familiarity with ideas instead of understanding of them.
Books also have a rare structural advantage: they don’t require your ongoing engagement. No engagement metrics, no algorithm trying to keep you hooked, no incentive to soften the argument when it gets uncomfortable. An author just makes their case. That kind of honesty is rarer than it sounds.
Why readers are quietly winning
The people who read deeply aren’t falling behind in an AI world. They’re pulling ahead.
Reading builds the foundation you need to actually evaluate what AI gives you — to spot when it’s wrong, to push back on a bad answer, to know what questions to ask in the first place. Without it, whatever AI tells you gets accepted at face value. With it, AI becomes genuinely powerful.
The people treating books as a relic are, without realizing it, making themselves more dependent on a tool that agrees with them.
The readers are quietly building something else.
That gap is only going to widen. And 2028 is when people will start to see it.