Direct answer: key risks and limitations
A remote professional or small-business operator should treat a VPN on public Wi‑Fi as one protective control, not as a guarantee. The main risks are (1) relying on it for “anonymity,” “safety,” or “always-on” access—none of which a VPN inherently provides; (2) performance and availability variability that can interrupt workflows; and (3) setup-related failure modes, where traffic may not be routed as expected or may briefly leak if the connection drops. You should also remember that public Wi‑Fi risks extend to device security, endpoint behavior, and the way applications resolve and send data.
How a VPN works in this operating context
A VPN typically creates an encrypted tunnel between your device and a VPN endpoint. That can reduce exposure of certain traffic while you are using the public network. However, whether protection is effective depends on the operating conditions: correct client configuration, stable connectivity, and consistent routing for both network traffic and name resolution. If the VPN client, system firewall rules, or DNS settings are not aligned with your security expectations, you may still expose sensitive data or operate in an unexpected mode.
Practical context: where remote work goes wrong
Remote teams commonly combine VPN use with laptops, mobile devices, browsers, cloud tools, and automated sync. On public Wi‑Fi, additional concerns include device hygiene (updates, malware protection), browser/session security, and whether background apps attempt connections that bypass intended controls. Another operational limitation is user decision-making under time pressure: choosing “connect and continue” without confirming that the VPN is active, that traffic is routed correctly, and that the connection has the expected behavior.
Limitations to plan for
A VPN does not guarantee anonymity, safety, or access. Performance and availability vary by network, device, location, provider, and time. Also, claims about current product capabilities, legal implications, or empirical performance require current verification from authoritative documentation and testing—avoid assuming today’s behavior will match your needs.