Thread regarding Oracle Corp. layoffs

Layoff running totals based on Slack

Tracking participants count #general Slack channel in Oracle One workspace, as the fastest available proxy indication of ongoing layoffs.

  • may01-may31: 2241 reductions, and 942 additions
  • apr01-apr30: 2286 reductions, and 1583 additions
  • mar01-mar31: 12446 reductions, and 844 additions
  • feb01-feb28: 943 reductions, and 1143 additions
  • jan01-jan31: 1604 reductions, and 1834 additions
  • dec01-dec31: 1031 reductions, and 844 additions
  • nov01-nov30: 1614 reductions, and 1327 additions
  • oct01-oct31: 2504 reductions, 1762 additions
  • sep02-sep30: 6275 reductions, 861 additions
  • aug14-sep01: 733 reductions (based on Slack very few data points)
  • aug01-aug14: ?2900 reductions in IDC (based on media reports)

Regions outside IDC and NA usually have a significant delay when laid off people are disconnected from Slack (e.g. 1 month in Pacific regions, perhaps longer in some EU countries), so this is a floor estimate with additions reflected immediately, but reductions lagging behind on average.

What is called "layoff estimates" are partially part of normal attrition, limitations are covered in details in comments.

I will post daily in comments on the count change and running current month total while this post is still on the first page.


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Post ID: @OP+1kt1n0gkp

26 replies (most recent on top)

June 10, 2pm UTC - June 11, 2:30pm UTC totals: 70 reductions, 0 additions.
June totals: 257 reductions, and 428 additions.

  • jun01, 1pm UTC: 152764 (0)
  • jun02, 4:30am UTC: 152784 (+20)
  • jun02, 7pm UTC: 152836 (+52)
  • jun03, 5pm UTC: 152886 (+50)
  • jun04, 2am UTC: 152841 (-45)
  • jun04, 4pm UTC: 152814 (-27)
  • jun05, 12:30pm UTC: 152785 (-29)
  • jun05, 5pm UTC: 152816 (+31)
  • jun06, 10pm UTC: 152844 (+28)
  • jun08, 1:30am UTC: 152831 (-13)
  • jun08, 12pm UTC: 152850 (+19)
  • jun08, 8pm UTC: 152901 (+51)
  • jun09, 2:30am UTC: 152935 (+34)
  • jun09, 3:30pm UTC: 152914 (-21)
  • jun09, 7:30pm UTC: 152898 (-16)
  • jun10, 3am UTC: 152989 (+91)
  • jun10, 2pm UTC: 152903 (-86)
  • jun10, 11pm UTC: 152883 (-20)
  • jun11, 2:30pm UTC: 152935 (+52)

Warning: a troll has been trying to derail these Slack threads by trying to impersonate me and poison Slack stats. His posts are easily identified by an unrealistic number of up-votes, while down-voting posts containing the real data. Keep an eye on the earliest thread comments containing overall historical stats for previous months. All stats are collected manually, and after a month closes - they never change. Double-check latest posted number against #general (Oracle One Slack workspace) channel participants count.

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Post ID: @1qg+1kt1n0gkp

June 10, 2pm UTC - June 11, 2:30pm UTC totals: 70 reductions, 0 additions.
June totals: 824 reductions, and 243 additions.

  • jun01, 1pm UTC: 152764 (0)
  • jun02, 4:30am UTC: 152424 (-340)
  • jun02, 7pm UTC: 152476 (+52)
  • jun03, 5pm UTC: 152413 (-63)
  • jun04, 2am UTC: 152382 (-31)
  • jun04, 4pm UTC: 152396 (+14)
  • jun05, 12:30pm UTC: 152359 (-37)
  • jun05, 5pm UTC: 152351 (-8)
  • jun06, 10pm UTC: 152190 (-161)
  • jun08, 1:30am UTC: 152200 (+10)
  • jun08, 12pm UTC: 152329 (+129)
  • jun08, 8pm UTC: 152318 (-11)
  • jun09, 2:30am UTC: 152289 (-29)
  • jun09, 3:30pm UTC: 152284 (-5)
  • jun09, 7:30pm UTC: 152286 (+2)
  • jun10, 3am UTC: 152217 (-69)
  • jun10, 2pm UTC: 152253 (+36)

  • jun10, 11pm UTC: 152218 (-35)

  • jun11, 2:30pm UTC: 152183 (-35)

Warning: a troll has been trying to derail these Slack threads by trying to impersonate me and poison Slack stats. Keep an eye on the earliest thread comments containing overall historical stats for previous months. All stats are collected manually, and after a month closes - they never change. Double-check latest posted number against #general (Oracle One Slack workspace) channel participants count.

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Post ID: @1q9+1kt1n0gkp

June 10, 2pm UTC - June 11 1:00pm UTC totals: 341 reductions, 109 additions.
June totals: 884 reductions, and 936 additions.

jun10, 2pm UTC: 152158 (+66)
jun10, 9:30pm UTC: 151817 (-341)
jun11, 1:00pm UTC: 151860 (+43)

Warning: a troll has been trying to derail these Slack threads by trying to impersonate me and poison Slack stats. Keep an eye on the earliest thread comments containing overall historical stats for previous months. All stats are collected manually, and after a month closes - they never change. Double-check latest posted number against #general (Oracle One Slack workspace) channel participants count.

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Post ID: @1q2+1kt1n0gkp

June 10, 3am UTC - June 10 9:30pm UTC totals: 522 reductions, 129 additions.
June totals: 884 reductions, and 850 additions.

  • jun10, 3am UTC: 152092 (-181)
  • jun10, 2pm UTC: 152158 (+66)
  • jun10, 9:30pm UTC: 151817 (-341)
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Post ID: @1m4+1kt1n0gkp

June 09, 3:30pm UTC - June 10, 2pm UTC totals: 181 reductions, 129 additions.
June totals: 543 reductions, and 850 additions.

  • jun09, 7:30pm UTC: 151273 (+63)
  • jun10, 3am UTC: 152092 (-181)
  • jun10, 2pm UTC: 152158 (+66)
    Warning: a troll has been trying to derail these Slack threads by trying to impersonate me and poison Slack stats. Keep an eye on the earliest thread comments containing overall historical stats for previous months. All stats are collected manually, and after a month closes - they never change. Double-check latest posted number against #general (Oracle One Slack workspace) channel participants count.
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Post ID: @1jv+1kt1n0gkp

June 09, 3:30pm UTC - June 10, 2pm UTC totals: 69 reductions, 38 additions.
June totals: 754 reductions, and 243 additions.

  • jun09, 7:30pm UTC: 152286 (+2)
  • jun10, 3am UTC: 152217 (-69)
  • jun10, 2pm UTC: 152253 (+36)

Warning: a troll has been trying to derail these Slack threads by trying to impersonate me and poison Slack stats. Keep an eye on the earliest thread comments containing overall historical stats for previous months. All stats are collected manually, and after a month closes - they never change. Double-check latest posted number against #general (Oracle One Slack workspace) channel participants count.

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Post ID: @1jp+1kt1n0gkp
  • jun09, 4:00pm UTC: 151996 (-193)
  • jun09, 2:30am UTC: 152189 (+4)
  • jun09, 3:30pm UTC: 151185 (-95)
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Post ID: @1em+1kt1n0gkp

@1dz I always wondered, what drives trolls to use self-humilating rage baits? For instance, your post contradicts itself on basic arithmetic level. It's so cartoonish - it has to be on purpose. But why? Is your motive masochistic in nature? Is it some childhood echo of abuse? I recommend you seek professional help before you hurt yourself and others.
I will stop feeding you now, at this point it would be just contributing to further deterioration of your mental health, without significant entertainment value.

June 08, 8pm UTC- June 09, 3:30pm UTC totals: 34 reductions, 0 additions.
June totals: 685 reductions, and 205 additions.

  • jun09, 2:30am UTC: 152289 (-29)
  • jun09, 3:30pm UTC: 152284 (-5)

Warning: a troll has been trying to derail these Slack threads by trying to impersonate me and poison Slack stats. Keep an eye on the earliest thread comments containing overall stats. I will never change them retroactively - they are collected manually, so there is no possible basis for their correction after a month has passed. Double-check latest posted number against #general (Oracle One workspace) channel participants count.

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Post ID: @1ee+1kt1n0gkp

Remember to ignore posts from the brain-damaged troll who shows up to impersonate me. Here are today's real numbers.

June 06, 10pm UTC- June 09, 12:30pm UTC totals: 297 reductions, 311 additions.
June totals: 362 reductions, and 721 additions.

  • jun09, 12:30pm UTC: 156280 (+14)
  • jun08, 12:30pm UTC: 156280 (+410)
  • may01-may31: 1549 reductions, and 609 additions
  • apr01-apr30: 2102 reductions, and 1734 additions
  • mar01-mar31: 8331 reductions, and 564 additions
  • feb01-feb28: 1248 reductions, and 1022 additions
  • jan01-jan31: 1051 reductions, and 893 additions
  • dec01-dec31: 991 reductions, and 1031 additions
  • nov01-nov30: 1263 reductions, and 1540 additions
  • oct01-oct31: 1047 reductions, 1931 additions
  • sep02-sep30: 4303 reductions, 2017 additions
  • aug14-sep01: 502 reductions (based on Slack very few data points)
  • aug01-aug14: ?2900 reductions in IDC (based on media reports)
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Post ID: @1dz+1kt1n0gkp

Note: the guy shouting obscenities and calling everyone a "troll" needs to think he is important. Try to humour him with an occasional up-vote here and there.

  • jun08, 6:30pm UTC: 156270 (-10)
  • jun08, 12:30pm UTC: 156280 (+410)
  • jun08, 12pm UTC: 152329 (+129)
  • jun08, 8pm UTC: 152318 (-11)
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Post ID: @1bt+1kt1n0gkp

@1ay oh boy, you do realize anybody can take 15 seconds to go to #general of Oracle One workspace and verify that your current number is way off?
Well, I guess we will see soon enough if you have access to Oracle Slack, or will continue with random numbers.

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Post ID: @1b3+1kt1n0gkp

@1a Thanks for posting this. Keep up the great work!

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Post ID: @1az+1kt1n0gkp

Nice try smarty pants!

Here's the real data for everyone who can't find this themselves in Slack.
jun08, 12:30pm UTC: 156280 (+410)
jun08, 12pm UTC: 152329 (+129)
jun08, 8pm UTC: 152318 (-11)

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Post ID: @1ay+1kt1n0gkp

@19f you are truly d-mb, trolly
you sh-t over the whole board. I need to only track one single thread and I got patience as my tracking history shows. you will just embarrass yourself, as you always do.
I will just start adding warning when baking a thread and posting rolling stats update that previous totals cannot change under any condition and too keep an eye on you counterfeiting stats.
Let's try it out.

June 08, 1:30am UTC- June 08, 8pm UTC totals: 11 reductions, 129 additions.
June totals: 651 reductions, and 205 additions.

  • jun08, 12pm UTC: 152329 (+129)
  • jun08, 8pm UTC: 152318 (-11)

Warning: we have a troll trying to derail these threads and stats. Originally he created mass fake downvotes, after it proved ineffective - now he is trying to impersonate me and poison stats. Keep an eye on first comments on all such threads for original overall stats. I will never change them in the middle of the thread, and there is extremely low chance I am going to change them retroactively, because they are collected manually, so there is no possible basis for their corrections after a month has passed.

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Post ID: @1av+1kt1n0gkp

Ignore posts from the brain-damaged troll who shows up occasionally in order to impersonate me. Here are the real numbers.

June 06, 10pm UTC- June 08, 12:30pm UTC totals: 65 reductions, 410 additions.
June totals: 176 reductions, and 245 additions.

  • jun08, 12:30pm UTC: 156280 (+410)

  • may01-may31: 1549 reductions, and 609 additions

  • apr01-apr30: 2102 reductions, and 1734 additions
  • mar01-mar31: 8331 reductions, and 564 additions
  • feb01-feb28: 1248 reductions, and 1022 additions
  • jan01-jan31: 1051 reductions, and 893 additions
  • dec01-dec31: 991 reductions, and 1031 additions
  • nov01-nov30: 1263 reductions, and 1540 additions
  • oct01-oct31: 1047 reductions, 1931 additions
  • sep02-sep30: 4303 reductions, 2017 additions
  • aug14-sep01: 502 reductions (based on Slack very few data points)
  • aug01-aug14: ?2900 reductions in IDC (based on media reports)
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Post ID: @19f+1kt1n0gkp

@17b here is the proof that 2 posts earlier is a fake posts with new totals
https://www.thelayoff.com/post/@a2+1kn4h3j2q - right here I described how I collect stats, and that process is manual, therefore - "cache" justification is no applicable

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Post ID: @17e+1kt1n0gkp

@14g hey troll, just fu-k off.
no, those are not me posting that.
there is no cache, because the process is manual, it cannot be automated through API, as I described 2 months ago. I guess it can be automated now using Codex to scrap through web interface, but I am not going to commit a career su----e like that.

I guess this mentally ill troll now will be impersonating my posts, so keep an eye on the original stats which are first posts in every thread.

June 06, 10pm UTC- June 08, 1:30am UTC totals: 0 reductions, 10 additions.
June totals: 640 reductions, and 76 additions.

  • jun08, 1:30am UTC: 152200 (+10)
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Post ID: @17b+1kt1n0gkp

So sorry, I realized my cache settings have been sc--wing up these numbers since I started reporting them last year. I'll try to get this sorted, but you get what you pay for right?? Meanwhile please use the following data instead:

  • may01-may31: 1549 reductions, and 609 additions
  • apr01-apr30: 2102 reductions, and 1734 additions
  • mar01-mar31: 8331 reductions, and 564 additions
  • feb01-feb28: 1248 reductions, and 1022 additions
  • jan01-jan31: 1051 reductions, and 893 additions
  • dec01-dec31: 991 reductions, and 1031 additions
  • nov01-nov30: 1263 reductions, and 1540 additions
  • oct01-oct31: 1047 reductions, 1931 additions
  • sep02-sep30: 4303 reductions, 2017 additions
  • aug14-sep01: 502 reductions (based on Slack very few data points)
  • aug01-aug14: ?2900 reductions in IDC (based on media reports)
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Post ID: @14g+1kt1n0gkp

June 05, 5pm UTC - June 06, 10pm UTC totals: 45 reductions, 0 additions.
June totals: 640 reductions, and 66 additions.

  • jun06, 10pm UTC: 152190 (-161)
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Post ID: @126+1kt1n0gkp

June 04, 4pm UTC - June 05, 5pm UTC totals: 45 reductions, 0 additions.
June totals: 479 reductions, and 66 additions.

  • jun05, 12:30pm UTC: 152359 (-37)
  • jun05, 5pm UTC: 152351 (-8)
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Post ID: @ws+1kt1n0gkp

June 03, 5pm UTC - June 04, 4pm UTC totals: 31 reductions, 14 additions.
June totals: 434 reductions, and 66 additions.

  • jun04, 2am UTC: 152382 (-31)
  • jun04, 4pm UTC: 152396 (+14)
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Post ID: @r2+1kt1n0gkp

Jun 02, 4:30am UTC - Jun 03, 5pm UTC totals: 63 reductions, 52 additions.
June totals: 403 reductions, and 52 additions.

  • jun02, 7pm UTC: 152476 (+52)
  • jun03, 5pm UTC: 152413 (-63)
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Post ID: @kr+1kt1n0gkp

EXCELLENT JOB.. KEEP UP THE GOOD WORK

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Post ID: @d8+1kt1n0gkp

Jun 01, 1pm UTC - Jun 02, 4:30am UTC totals: 340 reductions, 0 additions.
June totals: 340 reductions, and 0 additions.

  • jun01, 1pm UTC: 152764 (0)
  • jun02, 4:30am UTC: 152424 (-340)
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Post ID: @cw+1kt1n0gkp

1) Slack total for the latest series of mass layoffs which started on Mar24, 2026:

reductions: 16400, additions: 2652

  • mar24, 1am UTC: 166542
  • mar24, 1:30pm UTC: 166434 (-108)
  • mar24, 10:30pm UTC: 166432 (-2)
  • mar25, 1pm UTC: 166343 (-89)
  • mar25, 3pm UTC: 166325 (-18)
  • mar25, 8:30pm UTC: 166092 (-233)
  • mar25, 9pm UTC: 166072 (-20)
  • mar25, 11pm UTC: 165995 (-77)
  • mar26, 1pm UTC: 165865 (-130)
  • mar26, 6:30pm UTC: 165800 (-65)
  • mar27, 3:30am UTC: 165707 (-93)
  • mar27, 2pm UTC: 165736 (+29)
  • mar27, 8pm UTC: 165723 (-13)
  • mar28, 2:30pm UTC: 165526 (-197)
  • mar30, 12:30pm UTC: 165614 (+88)
  • mar30, 4pm UTC: 165589 (-25)
  • mar30, 9:30pm UTC: 165333 (-256)
  • mar31, 2am UTC: 165228 (-105)
  • mar31, 5am UTC: 165198 (-30)
  • mar31, 12:30pm UTC: 155607 (-9591)
  • mar31, 6pm UTC: 155594 (-13)
  • mar31, 9:30pm UTC: 155604 (+10)
  • apr01, 2:30am UTC: 154796 (-808)
  • apr01, 6am UTC: 154682 (-114)
  • apr01, 12:30pm UTC: 154756 (+74)
  • apr01, 8pm UTC: 154741 (-15)
  • apr02, 4:30am UTC: 154576 (-165)
  • apr02, 2pm UTC: 154642 (+66)
  • apr02, 6pm UTC: 154642 (0)
  • apr03, 2pm UTC: 154397 (-245)
  • apr03, 11:30pm UTC: 154398 (+1)
  • apr04, 11:30pm UTC: 154314 (-84)
  • apr06, 1:30am UTC: 154297 (-17)
  • apr06, 1:30pm UTC: 154301 (+4)
  • apr07, 4am UTC: 154273 (-28)
  • apr07, 1:30pm UTC: 154260 (-13)
  • apr08, 1pm UTC: 154417 (+157)
  • apr08, 11pm UTC: 154441 (+24)
  • apr09, 7pm UTC: 154397 (-44)
  • apr10, 2pm UTC: 154377 (-20)
  • apr11, 2am UTC: 154330 (-47)
  • apr12, 2:30am UTC: 154230 (-100)
  • apr13, 1pm UTC: 154277 (+47)
  • apr13, 10pm UTC: 154275 (-2)
  • apr14, 1pm UTC: 155002 (+727)
  • apr14, 7pm UTC: 155004 (+2)
  • apr15, 2am UTC: 154980 (-24)
  • apr15, 2:30pm UTC: 154935 (-45)
  • apr15, 10:30pm UTC: 154943 (+8)
  • apr16, 1:30pm UTC: 155031 (+88)
  • apr16, 9:30pm UTC: 155139 (+108)
  • apr17, 3pm UTC: 154888 (-251)
  • apr17, 9:30pm UTC: 154914 (+26)
  • apr18, 1pm UTC: 154812 (-102)
  • apr18, 9pm UTC: 154823 (+11)
  • apr19, 2:30pm UTC: 154826 (+3)
  • apr19, 11pm UTC: 154832 (+6)
  • apr20, 7pm UTC: 154951 (+119)
  • apr20, 11pm UTC: 154949 (-2)
  • apr21, 1:30pm UTC: 154880 (-69)
  • apr21, 10pm UTC: 154890 (+10)
  • apr22, 2pm UTC: 154859 (-31)
  • apr23, 1am UTC: 154888 (+29)
  • apr23, 2pm UTC: 154849 (-39)
  • apr24, 1am UTC: 154840 (-9)
  • apr24, 7:30pm UTC: 154824 (-16)
  • apr26, 1:30am UTC: 154707 (-117)
  • apr27, 11:30am UTC: 154780 (+73)
  • apr28, 12:00am UTC: 154755 (-25)
  • apr28, 2:30pm UTC: 154711 (-44)
  • apr28, 10:30pm UTC: 154679 (-32)
  • apr29, 4pm UTC: 154239 (-440)
  • apr30, 12:00pm UTC: 154192 (-47)
  • apr30, 3pm UTC: 154191 (-1)
  • may01, 1am UTC: 154093 (-98)
  • may01, 12pm UTC: 153788 (-305)
  • may01, 9pm UTC: 153865 (+77)
  • may02, 2:30pm UTC: 153772 (-93)
  • may03, 2pm UTC: 153761 (-11)
  • may04, 2am UTC: 153755 (-6)
  • may04, 1pm UTC: 153859 (+104)
  • may05, 2:30am UTC: 153707 (-152)
  • may05, 3:30pm UTC: 153714 (+7)
  • may05, 11:30pm UTC: 153684 (-30)
  • may06, 5pm UTC: 153660 (-24)
  • may07, 1am UTC: 153670 (+10)
  • may07, 1pm UTC: 153674 (+4)
  • may08, 1pm UTC: 153616 (-58)
  • may09, 12am UTC: 153616 (0)
  • may10, 3pm UTC: 153439 (-177)
  • may11, 1am UTC: 153441 (+2)
  • may11, 11:30am UTC: 153566 (+125)
  • may12, 4:30am UTC: 153508 (-58)
  • may12, 11:30am UTC: 153497 (-11)
  • may13, 1:30am UTC: 153455 (-42)
  • may13, 12pm UTC: 153625 (+170)
  • may14, 6:30pm UTC: 153598 (-27)
  • may15, 5:30pm UTC: 153570 (-28)
  • may16, 12:30am UTC: 153580 (+10)
  • may16, 10:30pm UTC: 153442 (-138)
  • may18, 5:30am UTC: 153423 (-19)
  • may18, 9pm UTC: 153765 (+342)
  • may19, 3pm UTC: 153759 (-6)
  • may20, 12am UTC: 153729 (-30)
  • may21, 3pm UTC: 153669 (-60)
  • may22, 12:30am UTC: 153628 (-41)
  • may22, 2:30pm UTC: 153586 (-42)
  • may25, 1am UTC: 153460 (-126)
  • may25, 2:30pm UTC: 153514 (+54)
  • may26, 12pm UTC: 153490 (-24)
  • may27, 2pm UTC: 153527 (+37)
  • may28, 2:30pm UTC: 153468 (-59)
  • may29, 6pm UTC: 153384 (-84)
  • jun01, 1pm UTC: 152764 (-620)

2) If you want to count since August 2025 (start of previous mass layoff series), estimates are:

reductions: 34577, additions: 11139

  • may01-may31: 2241 reductions, and 942 additions
  • apr01-apr30: 2286 reductions, and 1583 additions
  • mar01-mar31: 12446 reductions, and 844 additions
  • feb01-feb28: 943 reductions, and 1143 additions
  • jan01-jan31: 1604 reductions, and 1834 additions
  • dec01-dec31: 1031 reductions, and 844 additions
  • nov01-nov30: 1614 reductions, and 1327 additions
  • oct01-oct31: 2504 reductions, 1762 additions
  • sep02-sep30: 6275 reductions, 861 additions
  • aug14-sep01: 733 reductions (based on Slack very few data points)
  • aug01-aug14: ?2900 reductions in IDC (based on media reports)
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Post ID: @a2+1kt1n0gkp

previous thread: https://www.thelayoff.com/t/1kqgha9tv

Limitations: to answer a common question what exactly is counted here and how.

Between once a day up to every few hours I manually record Slack total participants count in #general Slack channel of Oracle One workspace - that's where all Oracle employees onboard into corporate Slack account auto-join.

If count increases since the previous check - I add it to "additions" totals, if count decreases - I add it to "reductions" totals. Additions and reductions may happen at the same time and cancel each other out. The higher frequency of sampling - the more additions and reductions are caught.

"Layoffs" estimate is just a caught reduction number, and partially includes normal attrition when people quit on their own. However, a lot of reductions are canceled out due to frequency of sampling, so normal attrition often is already at least partially not part of the count.

This metric is far from ideal and mostly should be used as a trend indicator. It's especially less accurate (has more delay) in EU and Pacific regions, where employees are disconnected from Slack with long delay. However, it reflects the same day layoffs in NA and IDC usually.

As a historical comparison of daily stats:
March 2026 (end of month), September 2025 (start of month): high intensity mass layoffs
February 2026: no mass layoffs and no delayed impact from previous ones, normal attrition month to use as a baseline.

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Post ID: @a1+1kt1n0gkp

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