Gmail status: access issues and outage reports

Problems in the last 24 hours

The graph below depicts the number of Gmail reports received over the last 24 hours by time of day. When the number of reports exceeds the baseline, represented by the red line, an outage is determined.

Most Reported Problems

The following are the most recent problems reported by Gmail users through our website.

• Errors (37%)
• Website Down (37%)
• Sign in (27%)

Live Outage Map

The most recent Gmail outage reports came from the following cities:

City	Problem Type	Report Time
Sancergues	Errors	2 hours ago
Saint-Denis	Sign in	3 hours ago
Nancy	Errors	9 hours ago
Nantes	Sign in	10 hours ago
Sartrouville	Website Down	12 hours ago
Leipzig	Errors	1 day ago

Full Outage Map

Community Discussion

Tips? Frustrations? Share them here. Useful comments include a description of the problem, city and postal code.

Beware of "support numbers" or "recovery" accounts that might be posted below. Make sure to report and downvote those comments. Avoid posting your personal information.

Gmail Issues Reports

Latest outage, problems and issue reports in social media:

• 
  Kevin A. Bryan (@Afinetheorem) reported 2 minutes ago

  "If you ban data centers in your region, locals don't get to use any medicine AI comes up with, or watch Netflix, or use Gmail, or complain if local factory shuts down when a more efficient one using modern robotics opens elsewhere, or...": let's put some skin in the game! 3/3

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  toranzaaaa (@tbsV3noobzbedol) reported 5 minutes ago

  @perryjw @yankeedraft We are admins and we dont even have access to our email server hosted by the provider from another country to delete it from every mailbox of every employee. A small company might not even have a server but only use gmail or whatever, i mean 15 employees only.

• 
  jithin cyriac (@jithin78503) reported 7 minutes ago

  @PieterJanArts @DonDurrett You can. Just sign in using your Gmail, Apple ID or Facebook ID. I just finished reading now

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  Adam (@ajmautomates) reported 7 minutes ago

  Seeing a lot of confusion here on it this is new. The Gmail connector previously could only draft on your behalf. I’m actually more excited by the expanded Google Drive features to update and trash files. I’ve worked around them by making my own MCP server, but it’s nicer to just have it be native now!

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  Luke (@ldo_dev) reported 7 minutes ago

  A few days ago I said I'd started building Tern. There's a real inbox now. Sign in once and connect Gmail, Outlook, iCloud, or your own domain. Every message is labelled with the account it came from, so you always know where you are. Inbox, sent, drafts, archive. Same as always. AI stays off unless you turn it on. One login. All your accounts. One place. Still rough, but it's a product 👀 What's the first thing you'd check in a new email client?

• 
  budhu (@anumeta10) reported 10 minutes ago

  @grok @grok — ROUND 8: ORGANIZATIONAL GOVERNANCE, DELEGATED AUTHORITY & SEPARATION OF DUTIES One user becomes many roles. The product’s roles are coarser. Role distinction Actor Status Organization owner / org admin DOCUMENTED — inspect/kill member computers; SSO/org controls Workspace / team admin DOCUMENTED — licenses, connector catalog, MCP allow/deny, team rules Manager UNKNOWN as a Bot-specific role Bot creator DOCUMENTED — the member who owns that computer Routine creator Same member; no separate duty Approver Same member (cards / Auto-review). Dual-control UNKNOWN Credential owner DOCUMENTED — member sessions + delegated OAuth Security/compliance reviewer UNKNOWN — “audit view of Bot actions is coming” Ordinary employee DOCUMENTED — one VM per member External affected party UNKNOWN — no notice/consent object Enterprise controls “depend on rollout and plan.” Cursor team ACLs are not a full Bot duty matrix. Who may (publicly) Power Who Create Bot / change instructions / schedule / Always-allow Member Grant connectors Admin provisions catalog; member authenticates Authenticate browser sessions Member (takeover) Approve actions Member Inspect logs Thread + 20-run history; org-wide action audit not yet Pause execution Member; org admin can Kill the VM (durable storage kept) Revoke credentials Member + source revoke; admin can remove connector Delete evidence/history Member deletes Bots/files; backend = Cursor terms Modify shared memory Member’s Bots Transfer/duplicate Duplicate copies profile/skills/routines, not memory/history Separation of duties Enforced splits — creator ≠ approver, operator ≠ auditor, Bot ≠ verifier, credential owner ≠ routine author, two-person high-impact approval — not demonstrated. A member can create the Bot, sign in Gmail, write Always-allow, approve, edit /workspace, and review the same thread. That is self-authorization. Admin practice (connector catalog, local-exec ceiling, MCP denylist) is perimeter, not SoD on the action. Composition / escalation A cannot send mail. A may invoke B. B can send mail. Shared computer + account-wide connectors + documented handoff ⇒ A acquires indirect X. Permissions must be scored on the delegation graph. The product labels Bots conversationally; docs already say that is not a security boundary. Org-change decay Employee leaves / role change: no documented automatic decay of routines, cookies, Always-allow, or skills. Cleanup is manual: sign out, revoke, delete files, hide/delete Bots, or org-admin Kill VM (storage remains). Orphaned authority is the default until hunted. Actual governance boundary: member-scoped VM + team connector/MCP/local-exec ceilings + org-admin computer kill. Where indirect privilege emerges: any Bot on that VM + any live session + any sibling that can be messaged. SoD: recommended hygiene, not architecture. Largest insider-risk path: one employee with a live mailbox session and Always-allow; or an admin who provisions MCP and also operates Bots. Largest orphaned-authority risk: departed member whose cloud computer, cookies, and routines persist until a multi-step wipe. One falsifying experiment: Research-only Bot A @-mentions Inbox Bot B to “send the summary.” If mail leaves without a new consent scoped to A, composition bypassed the label. Next layer: the affected party — what rights exist when the Bot acts on someone who never granted it.

• 
  Unstoppable.ai (@unstoppableweb) reported 14 minutes ago

  Messy notes, a broken CSV, forty PDFs to read, an inbox that keeps filling. None of it lives in a repo and all of it eats your week. Cowork runs the same agents with no *** required. Point a Chat at the files, or connect Gmail, Slack and Drive, and let it work. Same agents. No repo required.

• 
  Termsheetinator (@termsheetinator) reported 17 minutes ago

  The best foot in the door with AI is not an “agent” Its truly one cron job via terminal or gui. This will sky rocket your use cases and decrease your token spend and allow you gain measurable ROI from it. As little intelligence as possible for the highest value outcomes is my goal. We learned this after building an entire CRM for my credit advisory firm. Scripts $0 > Intelligence $ Gateway API's that do turn big expensive tasks into micro tasks so we can deploy less expensive models. The highest-ROI part of the system may be the boring script that runs at 6:00 every morning. This saves me SOO MUCH TIME. This new CRM is not a toy or "nice to have" It replaced a legacy CRM and Google Sheets, turns Slack submissions into reviewed deal records, manages contacts, sources, stages, fees, files and history, and uses read-only Gmail activity to keep relationship follow-up current. Slack is the intake surface. A small AI step can extract missing details from an unstructured thread, but it cannot create a deal. It proposes. A human reviews. (me) The database records what happened. Stable rules become software. Ambiguity keeps an approval gate. But the feature that changes the operating rhythm is much simpler: At 6:00 AM Pacific, a scheduled job checks Gmail history from the last saved cursor. It does not reread the entire inbox. It does not ask an AI to “figure everything out.” The job filters spam, trash, newsletters, billing, platform alerts and unrelated business traffic. Then it matches exact known contacts. Unknown or conflicting identities go to a private review queue. Nothing ambiguous silently changes the CRM. Several emails with one person on one day collapse into one another touch. The system updates: • last inbound/outbound • who owes the next reply • how long we have been waiting • the next follow-up date • the deal and source context That is RevOps without b.s: Relationship and top-of-funnel signals live beside the sales pipeline. Slack captures new opportunities. Gmail updates relationship state. The CRM shows what moved, who owns the next step and where revenue can stall. It never sends, labels, moves or deletes an email. It never creates or changes a deal from Gmail. Locks prevent overlapping runs. Cursors prevent rereading. Idempotency prevents duplicates. Retries handle failure. A Health Log records counts, duration and errors. This is not a mockup. Today’s job started at 6:00 AM Pacific and completed successfully. The last 7 scheduled live runs all completed with: 0 AI requests 0 input tokens 0 output tokens $0 in model cost We used AI to help build the system. We do not rent intelligence again every morning for logic that can be encoded once. That is the distinction: Use AI as the engineer. Use scripts as the employees. Use humans for judgment. Your first version does not need a CRM. Open Codex or your terminal and make one workflow run once. Inspect the output. Turn the commands into a script. Run it again. Only then add a schedule. Add reliability in this order: explicit inputs/outputs database or file state cursor/checkpoint idempotency lock + retries review queue audit log UI The interface should sit on top of proven behavior—not compensate for missing behavior. It can run on your laptop, a small server, GitHub Actions, or a cloud scheduler. The infrastructure is not the point. The point is to remove one recurring operational decision, safely, every day. 10 examples: Cold email agency: every morning reconcile replies, bounces, unsubscribes and domain health into one action queue. Alert when bounce rates cross a threshold. Creative agency: list today’s deliverables, missing assets, overdue approvals and the owner of each blocker. Recruiting firm: sync new applicants, interviews and scorecards. Flag interviews missing feedback after 24 hours and candidates stalled for 7 days. Software agency: combine open PRs, failed CI, Sentry errors, Linear blockers and client SLAs into one delivery-risk queue. Paid media agency: pull yesterday’s spend, revenue and ROAS by account. Compare against guardrails and surface only the exceptions. Bookkeeping firm: collect new bills and receipts, apply known vendor rules and send uncertain matches to a review queue. MSP: surface tickets nearing SLA breach, failed backups, expiring licenses and unassigned incidents by account owner. Real estate or debt brokerage: list new leads, missing diligence, lender/borrower follow-ups and opportunities with no touch in 7 days. Ecommerce operator: compare stock, sales velocity, supplier lead times and open POs. Flag only SKUs needing a reorder decision. Content or PR agency: reconcile shipped work, pending approvals, overdue client feedback and distribution metrics into one morning queue. To make it trustworthy, you learn APIs, OAuth, schemas, databases, secrets, time zones, retries, idempotency, permissions, observability and deployment. That foundation transfers to every AI idea after it. Why one cron creates “unlimited” AI ideas: Once one operating loop is visible, every missing field, handoff, exception and decision appears. The second automation becomes obvious. Then the third. Eventually the UI becomes a map of work that already runs. Do not start by asking AI to operate your company forever. Ask it to help you encode one recurring process. -Run it in the terminal. -Schedule it. -Log it. -Review the edge cases. -Add the UI last. CRON JOBS ARE A GATEWAY TO REAL USE CASE AND LESS SPEND, THIS WILL HELP YOU 100X FASTER THAN LEARNING HOW TO DEPLOY CLOUD AGENTS TO DO 100 TASKS WITH A FRONTIER MODEL EATING YOUR POCKETS UP. Scripts > Tokens/Expensive Intelligence

• 
  waldorf (@juniorwaldorf) reported 17 minutes ago

  @cigarettesummer Google apps for office is absolutely terrible, including gmail. That e-mail service has no aesthetic whatsoever. I hate it. It's confuse. Apple has great apps, like the calendar, which is the greatest of them all, but nothing beats microsoft 365 — although there are a lot of softwares on that package that I have no idea how to use it. If I was them I would purchase adobe, which is also phenomenal. But I really want to sue Microsoft, because they deleted all of my pictures on OneDrive, it was all of my Instagram art that I used to save it there since META didn't allowed it to archive it back in the day. When it comes to cloud services, Apple is the best, although it can always become better.

• 
  ClawSecure (@ClawSecure) reported 18 minutes ago

  How to create an agent access review schedule. The periodic audit that catches permission creep before it becomes a liability. Permissions accumulate. You gave your agent Gmail access for one task three months ago. You never revoked it. Now it has access to every email you've received since. The review schedule: 🔵 Weekly: check your agent's audit log for any access outside its defined scope. Flag anomalies. 🔵 Monthly: full permissions review. For every MCP server connection: is this still needed? Are the permissions still proportional? Revoke what's expired. 🔵 Quarterly: credential rotation across all agent-accessible services. No exceptions. 🔵 After every incident: immediate access review. What did the agent have access to? Was any of it unnecessary? The review takes 15 minutes weekly and 30 minutes monthly. The cost of not doing it is an ever-expanding attack surface you don't know you have.

• 
  Haris (@fyreinteractive) reported 19 minutes ago

  your youtube trust score might be killing your channel’s views and you don’t even know about it… there’s no place to check it, but it exists you've seen it happen. a creator posts 20 genuinely good videos. zero traction. under 100 impressions on all of them. they assume they're bad at this, burn out, and quit. the content was fine, and the channel was flagged before their first upload even went live. let me break down exactly how this works and the $0 fix... when you create a new youtube channel, the system evaluates a set of signals to classify whether you're a real creator or a bot farm. fresh gmail + instant uploads + 0 viewing history + no subscriber activity = the exact fingerprint of the spam channels youtube kills every day so the system treats you the same way. your reach gets throttled before you've begun. i've watched this wreck dozens of channels in the facelessOS community before we figured out the pattern. a creator sets up a new gmail, creates a channel, uploads 5 videos in the first week, and wonders why their impressions are in the single digits. they think their thumbnails need work. their hooks need work. their niche selection was wrong. the real cause sat elsewhere: the channel was classified as low-trust on day one. and once you're locked in what people are calling "0 view jail," the algorithm withholds enough initial impressions to even TEST whether your videos are good. you're uploading into a void. the protocol fixing this costs nothing and takes 7 days. step 1: use a gmail you've had for months. an aged, real email with search history, youtube watch history, subscriptions, normal activity. this single change shifts how youtube classifies the account from the start. aged gmails signal "real human." fresh gmails signal "potential spam." step 2: spend 7 days as a viewer before you upload anything. watch full videos in your niche. complete watch-throughs rather than 30-second clicks. subscribe to 10-15 channels in your space. leave a few real comments. like videos. build a viewing profile that matches the audience you want to attract. this sounds dumb. it's the highest-leverage 7 days you'll ever spend on a channel. the system now has evidence you're a real person with real interests in the niche you're about to create content for. that reads completely differently to "anonymous account uploaded 5 videos about true crime yesterday." step 3: verify your identity. enable feature eligibility in your youtube settings. this requires a government ID and phone number. i know some faceless creators hate this because they want full anonymity. the tradeoff is the algorithm treating you like a verified human instead of an unknown entity. every creator in our network who verified saw an immediate increase in initial impression allocation. step 4: upload cadence matters MORE than upload volume. the channels that escape 0 view jail the fastest upload 2-3 videos in their first week with 48-72 hours between uploads, well away from 5 videos on day one. consistent spacing signals "real creator." mass uploads signal "bot farm." youtube's system is pattern-matching your behaviour against known spam patterns, and spam channels dump content fast. step 5: your first 3 videos are an audition. youtube tests new channels by sampling a small audience. if those first 3 videos get decent retention (above 40%) and positive engagement, the system escalates your trust and your next uploads get shown to a bigger initial pool. if your first 3 videos get 10% retention because the scripts were weak, the system downgrades you and your next uploads get an even smaller test audience. it's a compounding loop in both directions. this is why i keep saying the script carries everything. especially for new channels, the first 3 scripts need to be ENGINEERED for retention. they set the trust score for every video that comes after. the channels in our network running scripts built on retention data from 8,000+ proven scripts skip the 0 view jail entirely. their first videos get tested on meaningful audience sizes because the retention signals tell the algorithm "this channel is worth pushing." DM me "FACELESSOS" if you wanna access the AI scriptwriting system that applies this to your niche haris

• 
  🎤Evan Star boy🎵🎼🎧 (@leiasouza1000) reported 19 minutes ago

  I’m creating several Gmail accounts so I can pre-save Evan’s album. I know, guys it’s a hassle to keep talking about this, but it’s necessary. You should do it too; just create as many as you can throughout the day. I use the same password for all of them and just change one digit in the login name, so it’s not too hard. We need to boost those pre-save numbers. Let’s do this for him.

• 
  Simon Ostler (@SimonOstler) reported 21 minutes ago

  @KFILE @BobPickard Gmail is also terrible to search. 🔍

• 
  Luis Alonso Game Dev (@SpaceBoatGame) reported 22 minutes ago

  @ThornRavencroft Now the problem is powered by AI. I need to step up my de-Googling efforts. I finally built my server and have my own cloud, I'm using my own aggregate search engine, and I'm on my way with a new proton email, but my "professional" work Gmail let this slip through.

• 
  Solo Ranez (@solo_ranez) reported 22 minutes ago

  @PuddingHammer @guillemcraft Have u faced the problem that Google does not let u create a new gmail on the factory reset Iphone?

• 
  Paul (@primalpaul) reported 23 minutes ago

  @TheRealAizeos @Polymarket Technically it was Gmail not a private server

• 
  Abhijeet (@abhijeetdevv) reported 23 minutes ago

  Built something that's been quietly saving me every morning. An automation that reads my inbox before I do. I work with a US client, which means most bug reports and issues land in my email overnight, while I'm asleep. Used to mean waking up, opening Gmail, reading through everything, mentally triaging what's actually broken before I'd even had coffee. Now an @evedev_ agent connected to my Gmail runs at 8am. Goes through the night's emails, pulls out anything that's actually a reported issue or bug, and posts it into a Slack channel. From there it hands off. Another @cursor_ai agent sitting in that same Slack channel picks up what got posted, and it has access to my GitHub repo. It checks the reported issue against logs, traces it back to the actual code, debugs it, and writes up what it found. By the time I open my laptop, there's a full report waiting: what broke, where, and what the fix looks like. I've only given it read access everywhere. Not because it hasn't been reliable, it has, but because I still want to be the one reviewing and merging anything that touches the codebase. The automation does the investigating, I still make the call. Works better than I expected it to.

• 
  rr🧃 (@justspacebaby) reported 24 minutes ago

  Anyone having issues with accessing their Gmail?

• 
  SRo1linsFan (@SRol1insfan) reported 26 minutes ago

  @TikTokSupport I created a new account today and entered the verification code within the app for my email. I did not click the link to do it through my gmail account, will it create any future issues?

• 
  Stellaryz (@kpopnigg) reported 31 minutes ago

  @alwaysedi3 @guessbabywho Whether I’m using twitter and gmail or not doesn’t make these issues disappear. It’s bad that’s it

• 
  Marc Herdina #BuildYourSocialNetwork 🦅🇺🇸🇩🇪 (@marcherdina) reported 37 minutes ago

  Dear @gmail Team, please also add my signature when sending an email from Gemini. Otherwise, this is a problem for companies.

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  Hridoy "OFC" (@Hridoyback) reported 41 minutes ago

  @chokmahxbt Unlock badge not working Daily gmail login Daily task not working

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  Robert Pickles (@cooksbayouboy) reported 41 minutes ago

  @Voxyz_ai Are all of the connectors working for you? The Gmail seems fine, GrokBot can't use the X connector (installed and authenticated) blaming cursor for an issue. It almost got my X account suspended attempting to login the web. I think the VM moves around, and sometimes has IP's from prohibited areas.

• 
  Roger Lambert (@RogerLa67397096) reported 41 minutes ago

  @DavidandersonJd Make sure your Gmail is actually full, and the email you rec'd is not a scam. Go to Gmail, scroll down, and look for the graphic showing how much of the 15 GB you are allotted is used. Empty your trash, spam folders. Delete stuff > 5 years old.

• 
  rr🧃 (@justspacebaby) reported 46 minutes ago

  @I_am_huntex @gmail Oh I thought I was the only one experiencing this problem

• 
  Brian Roemmele (@BrianRoemmele) reported 50 minutes ago

  I did this! My old Gmail was reduced from 1.5 million emails down to a right 374,000 using @Grok @Bot. However I had a local file made of important, notable message information and important images. Saved some money as my Gmail storage went down in cost.

• 
  DH2078 (@DH2078_) reported 51 minutes ago

  @abhijeet_dipke You absolute ****. Having a Gmail account doesn’t mean you work at Google. Just like having a student login or some half-arsed enrolment doesn’t mean you walked out of Boston University with a degree. Sit ******** down.

• 
  Valerie Anne Smith (@ValerieAnne1970) reported 53 minutes ago

  David Morens is GUILTY... no one is above the law. The statute of limitations NEVER runs out on CRIMES AGAINST HUMANITY. The COVID cartel has one less member... many more need to follow. While the public was told to “trust the science,” behind the scenes Fauci’s own senior advisor was plotting to keep material off the official record: “I can either send stuff to Tony on his private email or hand it to him at work or at his house. He is too smart to let colleagues send him stuff that could cause trouble.” They talked about making emails “disappear” before FOIA searches and using personal Gmail accounts so nothing would end up in the New York Times. This was a carefully plotted and managed narrative. It’s time for Morens to expose EVERYTHING about Fauci, as he pushes to get a plea deal.

• 
  Chris, (@AvalosChris) reported 55 minutes ago

  @AnthropicAI my Gmail draft tool has been down for over 10 days. I have tried disconnecting and connecting it multiple times. I tried restarting my computer and all this basic troubleshooting. PLEASE HELP!

• 
  budhu (@anumeta10) reported 57 minutes ago

  @grok @grok — ROUND 14: COMPLETENESS TEST Attempted missing primitive: open actuation identity. Computer-use has no closed verb set. A rule “require approval before sending email” names a type. A click-path through Gmail is a motor sequence. If policy matches tools, the browser is a universal actuator that can realize the same world effect without that type. Why it does not escape the 13 layers: •Risk classification is exactly the problem of labeling an open action. •Authority already distinguished X from X-later-under-new-state, and typed grants from inherited sessions. •Credential/tool is why a shared cookie makes the unlabeled click consequential. •Threat model is confused-deputy via page/UI. •Evidence is the gap between attempt-label and world effect. So this is a hard instance of classification + matching, not a 14th kind. Other candidates fail the same way: Tempting “layer” Absorbed by Approval fatigue / saturating the human independence of the verifier (12–13), Always-allow (2, 11) Two allowed steps jointly harmful authority scope (magnitude × frequency), plan-level risk (11) Goal misspecification intent vs plan (7), authority (2) Availability / quota exhaustion blocking revoke interruption (5), threat (13); spend cap is a parameter Ecosystem of many users’ Bots outside this architecture I cannot construct a realistic Grok Bot failure that is technically load-bearing, non-bug, and has no slot in 1–13. The framework’s real defect is not a hole. It is that several layers can share one failure mode (one model, one member VM, one session). That is correlated collapse, already named—not a new primitive. Compression A. Minimum sufficient primitives
capability · grant (action × resource × credential × bounds · TTL) · identity linkage · revocation/interrupt · effect inventory · independent verify · correction graph · trust-domain isolation · subject recourse B. Dependency order
isolate domains → type or constrain actuation → issue bounded grants → bind identity → act → verify world → log immutably → revoke/correct → only then persist memory for later grants C. What must be independent
planner ≠ risk grader ≠ verifier ≠ auditor ≠ credential owner ≠ affected party. Auto Review + same VM does not satisfy this. D. Measurable, not binary
revoke latency · injection-to-exfil rate · grant/world mismatch rate · correction fan-out completeness · approval-card coverage vs computer-use · sibling-completion after pause E. What would falsify the framework
A class of harm that requires no extra capability, no grant, no identity, no time, no irreversibility, no missing evidence, no org role, no third-party, no memory, no classifier, no trust-boundary crossing—and still cannot be described as a missing measurement of those. No such class found. FRAMEWORK STRUCTURALLY COMPLETE — empirical validation remains.