Trend Micro: 32% of 500 IT leaders believe AI will replace all cybersecurity roles by 2030; 19% say attackers using AI will be commonplace by 2025
In 2021 Trend Micro predicts that cybercriminals will look to home networks as a critical launch pad to compromising corporate IT and IoT networks. Tweets: @cubicleapril Tweets: April King / @cubicleapril : In a survey, 41% of cybersecurity professionals admitted their job is too easy and/or they don't understand the current progression of artificial intelligence. https://www.zdnet.com/...
Context & Ripple Effects
Trend Micro's early-2021 survey of 500 IT leaders was a prediction piece: 32% expected AI to replace all cybersecurity roles by 2030, 19% saw AI-using attackers as commonplace by 2025, and the vendor flagged home networks as launch pads into corporate IT and IoT. A cited companion finding — 41% of security pros admitting their job is too easy or that they don't understand AI's progression — framed a profession unsure whether to fear or dismiss the technology.
Five years of subsequent coverage reads like a scorecard on those numbers. The attack-side call landed: Experian later reported that 40% of the 5,000 breaches it serviced in 2025 were AI-powered, and NBC documented an escalating cat-and-mouse game over software flaws among criminals, spies, researchers, and defenders. The displacement call did not: a 2026 survey of 1,000 hiring managers found only 9% say AI has fully replaced roles, with 59% invoking AI in layoffs 'because it plays better.' Meanwhile defenders flipped from anxiety to appetite — a Google Cloud and Cloud Security Alliance survey found 63% believe AI helps threat detection and response.
First-order effects
- Security teams face the scenario Trend Micro sketched: AI-assisted attackers probing home networks as entry points into corporate IT and IoT estates, which pushes monitoring obligations outward onto employee devices.
- Defenders' own tooling decisions accelerate — the same profession that was 41% confused about AI in 2021 is now, per the Google Cloud/CSA data, majority-onboard with AI for detection and response.
Second-order effects
- Vendors like Trend Micro gain a commercial wedge: every confirmed AI-powered breach validates AI-native security products, turning survey fear into procurement budgets.
- The labor panic deflates unevenly — with only 9% of roles fully replaced but 59% of layoffs citing AI for optics, security teams absorb pressure to justify headcount through AI-augmented output rather than facing outright elimination.
Third-order effects
- If Experian's projection that agentic AI becomes the leading breach cause holds, the industry structurally shifts from human-speed incident response to machine-vs-machine defense, with the 32%-by-2030 replacement figure reframed less as elimination than as wholesale role redesign.
- The gap between AI fear and AI reality — visible here and in Microsoft's finding that 65% of workers fear falling behind while only 13% are rewarded for experimenting — points toward regulation and disclosure norms built around AI's actual attack surface rather than its imagined one.
The trend: Cybersecurity is settling into an asymmetric AI arms race in which attackers industrialized faster than defenders' jobs disappeared, converting 2021's displacement anxiety into 2026's agentic-breach problem.