Why practical skills matter more than ever
What happened
An experienced engineer argues AI helps with code snippets and design advice but cannot replace on‑site troubleshooting expertise that operators call during plant upset. The piece highlights practical fault causes (noise, earthing, hardware) and stresses that human troubleshooting remains essential for live recovery; procurement should watch staffing and training clauses rather than assuming AI reduces headcount
Buyer takeaway
Do not treat AI capability as a substitute for on‑site headcount or response SLAs; require human verification and escalation in service scopes
Cost / money
Risk of hidden cost if buyers reduce headcount expecting AI to replace field engineers; training and retention clauses may be more cost‑effective than reduced staffing
Supplier / commercial
Vendors may offer AI‑assisted support as a commercial differentiator—treat it as an add‑on service with clearly defined deliverables and pricing
Safety / operations
Human expertise is the primary control in plant recovery; LTSAs should preserve on‑site response and witnessed acceptance to avoid safety gaps
What to watch
Watch supplier claims that AI tools can replace troubleshooting—require evidence of field performance and human oversight
Key facts
- AI used for PLC code snippets and design suggestions
- Operational recovery relies on human troubleshooting for live incidents
Source excerpts
To save time, engineering personnel are using AI to construct snippets of PLC code, make design suggestions, summarise manuals, generate ideas for loop tuning, and describe process optimisation
They call the troubleshooting expert
It cannot walk the line, check an instrument air filter, or link that ‘mystery fault’ with a washdown cycle and a poorly sealed junction box. It cannot spot a poorly trained or over-tired operator, and it is not responsible when an oversight becomes a trip, a spill, or a near-miss
