Will AI Replace Locksmiths? Only 10% Risk — Smart Locks Need Smart Hands

Smart locks. Keyless entry. Biometric doors. If you are a locksmith, the technology headlines might make you feel like you are watching your own obsolescence unfold in real time. But here is the twist that most people miss: every one of those smart devices needs a human being to install it, maintain it, and fix it when it inevitably malfunctions.

The data backs this up in striking fashion.

Among the Lowest-Risk Professions

Locksmiths currently face an overall AI exposure of just 15% and an automation risk of 10% [Fact]. Even our most aggressive projection puts the 2028 automation risk at only 26% [Estimate]. In a world where many white-collar professions face risks above 40%, locksmiths are sitting comfortably near the bottom of the vulnerability scale.

The exposure level is classified as "low" with an "augment" automation mode. In plain English: AI will give locksmiths better tools, not pink slips.

Why Locksmithing Resists Automation

The fundamental reason is physical. Every lock exists in a specific physical environment — a particular door, frame, jamb, and hardware configuration that varies from job to job. An AI system can theoretically calculate how to pick a specific lock type, but it cannot physically manipulate the pins. It can design a key from a photo, but it cannot cut and test it on site. It can diagnose a smart lock error code, but it cannot remove the device from the door and replace the circuit board.

Emergency lockouts — one of the most common and profitable services — require a human being to physically travel to a location and manipulate tools in real time. There is no remote alternative. When someone is locked out of their car at 2 a.m. in a parking garage, they need hands, not an algorithm.

This pure physical necessity is what separates locksmiths from, say, court administrators, who face 36% automation risk because their work is predominantly digital — scheduling, document management, and budget oversight that AI handles naturally.

How Smart Technology Actually Helps Locksmiths

Here is the irony: the same "smart" technology that was supposed to kill locksmithing has actually expanded the market. Smart lock installations require professional setup — homeowners who confidently install a deadbolt often struggle with Wi-Fi-connected locks that need network configuration, hub integration, and proper alignment.

Access control systems in commercial buildings have become dramatically more complex. Biometric readers, key card systems, and cloud-managed access platforms all need installation, maintenance, and troubleshooting by someone who understands both the physical hardware and the digital systems behind it.

Auto locksmithing has similarly evolved. Modern car keys with transponders, proximity fobs, and encrypted signals require specialized programming equipment — but still need a human operator who can diagnose the specific issue, source the right blank, and program it on site.

Career Advice for Locksmiths

Learn electronic security systems. The locksmith who can install and program a Salto, Kaba, or HID access control system is far more valuable than one who only works with mechanical locks. This is where the growth is.

Get certified. Professional certifications from organizations like ALOA (Associated Locksmiths of America) signal expertise in an industry where trust is everything. Customers are handing you the keys to their security — literally.

Embrace mobile technology. AI-powered key identification apps, digital service management platforms, and smart diagnostic tools make you more efficient. Use them to handle more calls per day, not fewer.

The Bottom Line

Locksmithing is that rare profession where technological advancement increases demand for human practitioners. Smart locks need smart locksmiths. At 10% automation risk, this is one of the most secure careers in the entire AI era. The tools will get fancier, but the hands that wield them will remain very much human.

See detailed data for Locksmiths

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AI-assisted analysis based on Anthropic labor market research (2026) and cross-referenced with ONET occupational data. Data reflects our best estimates as of March 2026.*

Update History

• 2026-03-24: Initial publication with 2024-2028 projection data.

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