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Crypto lending rises again… but have they solved the risks?

Crypto lending is making a comeback with a 55% jump since July, but the industry faces new dangers from AI-driven exploits and complex protocol dependencies.

Originally on Cointelegraph →
AB

Adrian Boysel

Contributor

Oct 8, 2026

5 min read

Photo illustration / STKR News

We’ve been here before. Every time the market shows a flicker of life, the credit markets start pumping. Since July, crypto lending has climbed by roughly 55%. On paper, that looks like a recovery. In reality, it is a stress test for a system that almost completely disintegrated just a few years ago. As a founder, I look at these numbers and I don't see easy money; I see a growing surface area for technical and systemic failure.

The collapse of centralized lenders in the last cycle was a hard lesson in counterparty risk. We saw what happens when you trust a black box with your keys. Now, the momentum has shifted toward decentralized finance (DeFi), where transparency is supposed to be the cure. But transparency doesn't mean safety. While we aren't worrying about a CEO gambling with user funds behind closed doors, we are now facing a sophisticated new breed of threats: AI-driven exploits and the domino effect of interlinked protocols.

The New Vector: AI and Automated Exploits

The biggest shift in the risk landscape isn't coming from bad balance sheets, but from the speed of execution. Hackers are now using artificial intelligence to scan smart contracts for vulnerabilities at a pace no human developer can match. In the past, a bug might sit in a protocol for months before someone found it. Now, as soon as a contract is deployed, it's being poked and prodded by automated scripts designed to find the one logical flaw that lets a vault be drained.

For builders, this means the old ways of auditing aren't enough. A static audit from six months ago is essentially a historical document. It doesn't account for the way AI can simulate millions of interactions to find edge cases. If you are building in this space, you have to assume that your code is being actively attacked by a machine 24/7. The margin for error has dropped to zero.

The Interconnectivity Trap

The second major concern is what I call the "lego-brick collapse." DeFi thrives on composability—the ability for one protocol to build on top of another. You take your ETH, put it in a lending protocol, take the receipt token, and stake it somewhere else to earn more yield. It feels like magic until one of those bricks cracks.

When lending rises by 55%, it’s not just new money coming in. It’s the same money being looped and leveraged across multiple layers. If a small oracle failure happens in one mid-sized protocol, the liquidations can cascade through five other platforms in seconds. We saw this in the previous cycle, but the complexity has only increased. The more layers we add, the harder it is to track where the real risk actually lives. You might think you're safe because you're using a top-tier lending platform, but if that platform relies on a price feed or a liquidity pool that gets exploited, your funds are still at risk.

Why Yield is Never Free

We need to stop pretending that double-digit returns on stablecoins are "normal." If you're getting paid 10% or 15% to lend your assets, you aren't a customer; you are a risk-taker. That yield is the market's way of pricing in the possibility that the code will fail, the oracle will lag, or the collateral will lose its peg. The moment builders and users forget this is the moment the next crisis begins.

The current rise in lending activity suggests that the industry’s memory is short. People are chasing yield again because they’ve grown bored of the sidelines. But the fundamentals of risk haven't changed—they've just become more technical and harder to spot. We’ve moved from human greed being the primary failure point to technical complexity being the new monster under the bed.

What Builders Should Focus On

If you’re building in the lending space today, your priority shouldn't be higher yields or more complex features. It should be resilience. We need protocols that can survive the "unknown unknowns." This means implementing better circuit breakers that can pause activity when abnormal patterns are detected—patterns that AI might spot before a human team even gets an alert on their phone.

We also need to be more honest about where our collateral comes from. If your lending platform is accepting tokens that are themselves just wrapped versions of other debt, you are building a house of cards. Founders need to resist the urge to add every new shiny token as collateral just to drive up their Total Value Locked (TVL). Quality collateral is the only thing that keeps the lights on when the market turns red.

The Founder’s Perspective

I’m skeptical of the 55% growth figure because it feels like we’re repeating the same behavior with different tools. We haven't solved the risk; we've just automated it and layered it behind more complex interfaces. For this growth to be sustainable, we need to see a shift away from hyper-leverage and toward actual utility.

Real lending should be about providing capital to people who are building things, not just people who want to trade with 10x leverage. Until we bridge that gap, these lending cycles will continue to be volatile and dangerous. The technology is better, sure. The transparency is higher, definitely. But the systemic risk is arguably greater than it has ever been because of how fast things move now.

Takeaway for the Next Phase

The rise in crypto lending is a sign of life, but it’s also a warning. As AI becomes a tool for both builders and attackers, the speed of the game has changed. For those looking to participate, the rule remains the same: understand the stack you are standing on. If you can't explain where the yield is coming from and what happens if the bottom layer fails, you shouldn't be there. We’re building the future of finance, but let’s not forget that a building is only as good as its foundation.


Read the original at Cointelegraph →

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