Government Property Inspectors and Investigators

Government inspectors still handle most of their core duties by hand, though computers help with some steps. For example, O*NET lists tasks like “examine records…to establish facts or detect discrepancies” ^[1] and “submit samples of products to government laboratories for testing” ^[1]. Today, offices may use data-analysis tools or simple AI to scan documents and spot obvious issues, and many labs use automated machines to measure samples.

However, the human inspector still chooses what to send, checks the results, and writes up the findings. In fact, inspectors must often “prepare correspondence, reports of inspections or investigations” ^[1] and even “testify in court” about what they found ^[1]. No current AI can fully replace these steps, though writing tools and analytics can help draft reports or flag anomalies.

In short, AI and computers are being introduced as helpers (for example, OECD notes work on “machine learning techniques to inspections” ^[2]), but they mostly augment inspectors rather than automate the whole job. Most decisions and court testimony still rely on people’s judgment and communication.

New technology often comes to the public sector more slowly. One reason is cost and complexity: custom AI systems can be expensive to build and maintain, especially for specialized jobs. Also, inspectors deal with legal rules and public trust.

For instance, since the job even includes duties like giving evidence and “testify in court” ^{[1] [3]}, officials tend to keep humans in charge of those parts. Strict regulations mean AI tools must be very reliable before they’re allowed, so agencies are cautious about replacing expert judgment. Finally, labor markets and budgets play a role: experienced inspectors are often needed for oversight, and it takes time to train people on new software.

Over time, as more off-the-shelf AI tools prove affordable and accurate, these jobs may add more automation for routine tasks – but human skills like critical thinking, communication, and trust-building will still be crucial.