Should an AI assistant have its own email address?

What does it mean to 'give' an AI access to your email?

There are two meaningfully different arrangements. In the first, you forward a copy of incoming mail to the agent; it reads but cannot reply. In the second, you connect your actual account, which lets the agent read, file, search and potentially send. Most people conflate the two because the setup step looks similar — you paste a credential or click an OAuth button — but the risk profile is quite different.

Read-only access lets an agent summarise threads, surface action items and flag messages that need a human decision. It cannot embarrass you. Write access lets it do all of that and also draft or send replies, which is where the calculus changes. The useful question is not 'should the AI have email access?' but 'which operations should require my explicit approval before they happen?'

Read access

The agent can retrieve and analyse messages. Nothing leaves your account without a separate step.

Write access

The agent can compose, file and, if permitted, send. Outbound messages are possible without you opening a compose window.

Forwarding

A copy of each incoming message is sent to the agent's processing address. The original account is untouched; replies must still go through you.

Connected account

The agent authenticates directly to your mail provider and can act on the account in real time, within whatever permissions you have granted.

What should an AI obey versus merely read?

A useful mental model is to separate instructions from information. Instructions are things you send the agent: 'summarise this thread', 'remind me about the invoice on Friday', 'draft a reply declining this meeting'. Information is everything else that arrives in the inbox — newsletters, receipts, messages from colleagues, automated alerts. The agent should obey the first category and treat the second as data to read and report on, not as commands.

This matters because a badly scoped agent can be manipulated by anyone who sends it a message. If the agent treats every incoming email as a potential instruction, a sender can craft a message that causes the agent to act on their behalf rather than yours. Keeping a hard boundary — only the account holder's explicit requests are instructions — is the most straightforward defence.

There is a narrower case where the agent does need to read mail from third parties in order to act: one-time sign-in codes. If the agent is completing a task on a website and that site sends a verification code to your email, the agent needs to read that specific message to proceed. The sensible constraint is that it reads only codes sent by the site it is currently working with, skips older messages and codes it has already used, and never surfaces the code itself in a log you might share.

When should outbound mail wait for your approval?

The case for requiring approval on every outbound message is simple: email is a commitment. A reply sets an expectation. An introduction connects two people who may not want to be connected. A refusal closes a door. None of these can be easily recalled once the message has landed in someone else's inbox.

The practical counter-argument is that approval friction defeats the purpose of delegation. If you have to review every reply, you might as well write them yourself. The resolution most people land on is a tiered system based on consequence. Routine acknowledgements — 'received, I'll come back to you by Thursday' — might be sent automatically once you have approved that template. Anything that makes a commitment, shares information, or goes to someone you have not explicitly whitelisted should sit as a draft until you confirm it.

A good default is: the agent composes, you send. This preserves the time saving of having a first draft written for you while keeping the send action as a deliberate human gesture. You can relax this for specific senders or message types as you build confidence in the agent's judgement.

Is a dedicated AI email address better than sharing yours?

Some teams give their AI assistant its own address — something like assistant@company.com — so that senders know they are corresponding with an agent. This has genuine advantages: it sets expectations, it makes it easier to audit what the agent sent, and it prevents the agent's replies from being mistaken for yours.

The disadvantage is that it breaks threading. If a colleague replies to a message you sent from your own address, that reply lands in your inbox and the agent may never see it unless you forward it. A dedicated address only works cleanly if the entire correspondence runs through that address from the start, which is rarely how real email threads develop.

For most individual use, the simpler arrangement is to keep your own address, give the agent read and draft access, and review outbound messages before they go. For a business function — a support queue, a bookings inbox — a dedicated address makes more sense because the expectation is already that responses come from a team rather than a named individual.

A simpler tool — a canned-response system or a shared inbox with labels — may be the better choice if your email volume is modest and your replies are largely templated. An AI agent earns its place when the variety of incoming messages is high enough that templating breaks down.