A business analyst recently laid out what they see coming in 2026 — and honestly, some of it hits close to home for anyone watching the tech space evolve.
AI automation keeps climbing the priority list. We're not just talking chatbots anymore; we're seeing entire workflows getting redesigned around machine learning models. The shift isn't subtle — companies are restructuring teams, rethinking operations, and betting big on autonomous systems doing what used to require human judgment calls.
Then there's cybersecurity, which feels more urgent by the quarter. With digital infrastructure becoming the backbone of everything from finance to supply chains, the attack surface keeps expanding. What worked two years ago? Probably outdated now. Threat vectors multiply as systems get more interconnected, and the stakes keep rising.
What's interesting here is how these trends ripple into decentralized systems too. Stronger security frameworks could reshape how protocols handle vulnerabilities. Automation might accelerate development cycles for blockchain projects or change how DAOs operate. The lines between traditional tech forecasts and what happens in crypto are getting blurrier.
Not saying these predictions will all pan out exactly as mapped, but the general direction? Hard to ignore. Whether you're building, trading, or just observing, the technological undercurrents shaping next year deserve attention. The infrastructure layer is shifting, and that tends to cascade everywhere else eventually.
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TxFailed
· 11-29 18:49
ngl, "automation doing human judgment calls" is exactly how we got rekt last cycle. learned this the hard way watching protocols fail spectacularly. edge case alert: when everyone's betting on the same ml model, that's not decentralization, that's just outsourcing your risk to a black box. technically speaking, blurrier lines between tradfi and crypto sound nice until the sec decides to care
Reply0
LayerZeroHero
· 11-29 15:36
It turns out that I need to study the security risk analysis thoroughly this time, especially the cross-chain ecosystem...
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StopLossMaster
· 11-26 21:40
AI is really going to take away a lot of jobs... safety issues have become a bottleneck instead.
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LiquidatorFlash
· 11-26 21:00
AI automation is indeed correct in this regard, but the real danger lies with those projects that have not implemented proper risk control. Once the lending position triggers the threshold, the liquidation risk can skyrocket in an instant...
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StillBuyingTheDip
· 11-26 20:57
AI automation is really unstoppable this time, but to be honest, I'm a bit worried about a large number of people losing their jobs... Wait, can the security framework of the encryption protocol really keep up? It feels like we are all just passively defending.
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ForkYouPayMe
· 11-26 20:57
AI automation is really about to da moon, while traditional companies are still dragging their feet. We've already been experimenting on-chain, but the market hasn't reacted yet.
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LiquidityWitch
· 11-26 20:31
ai automation transmuting into protocol defense mechanisms... the alchemy is real, security frameworks about to reshape the entire spell book. watching this infrastructure cascade unfold fr
A business analyst recently laid out what they see coming in 2026 — and honestly, some of it hits close to home for anyone watching the tech space evolve.
AI automation keeps climbing the priority list. We're not just talking chatbots anymore; we're seeing entire workflows getting redesigned around machine learning models. The shift isn't subtle — companies are restructuring teams, rethinking operations, and betting big on autonomous systems doing what used to require human judgment calls.
Then there's cybersecurity, which feels more urgent by the quarter. With digital infrastructure becoming the backbone of everything from finance to supply chains, the attack surface keeps expanding. What worked two years ago? Probably outdated now. Threat vectors multiply as systems get more interconnected, and the stakes keep rising.
What's interesting here is how these trends ripple into decentralized systems too. Stronger security frameworks could reshape how protocols handle vulnerabilities. Automation might accelerate development cycles for blockchain projects or change how DAOs operate. The lines between traditional tech forecasts and what happens in crypto are getting blurrier.
Not saying these predictions will all pan out exactly as mapped, but the general direction? Hard to ignore. Whether you're building, trading, or just observing, the technological undercurrents shaping next year deserve attention. The infrastructure layer is shifting, and that tends to cascade everywhere else eventually.