Thread regarding Open Text Corp. layoffs

So far behind in everything

Some managers have less than 5 reports
AI is barely being used, if at all

Meanwhile companies that will survive are flattening the orgs and making managers have at least ten reports and AI is used everywhere

We are so far behind it's worrying


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| 11 views | | 6 replies (last 21 days ago) | Reply
Post ID: @OP+1ks4f49q6

6 replies (most recent on top)

@g4 It's all smoke and mirrors.
https://www.youtube.com/watch?v=-j6dQK_MggU

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Post ID: @gg+1ks4f49q6

@g3 stupid take, you obviously haven't been using AI

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Post ID: @g4+1ks4f49q6

@dj What the industry has been selling as AI just isn't AI in any meaningful way. It's a massive autocomplete engine and nothing more. LLMs do not contain any intelligence or reasoning ability. They simply regurgitate the text they scoop up from all the mouth breathers out on the internet. That's why it will tell you to put glue on pizza.

The whole thing is a giant scam. Just look at the pattern. They keep scaring everyone that the next AI model is "too dangerous" to release, then get the headlines, then it eventually releases and nothing dangerous happens. They threaten everyone with a bo-b, then sell the bo-b shelters and every id--t investor scrambles to get in on it.

I cannot wait for this bubble to pop.

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Post ID: @g3+1ks4f49q6

I cannot speak for staffing outside my team but - do we really want to rush on AI?

I get that OT compared to more other competitors is late, but AI for now is not considered a sure-fire investment. It's more a cost cutting funnel still. That if one company can successfully cut the others are then behind. If we go grab subscriptions and tokens irresponsibly - they're going to see the cost, cut people and then potentially see the 'using multiple AI products may cost more than people' sign. Some of those companies are only measuring token use - which can be cheesed. If we follow Meta and watch employees for training/automation purposes - people are leaving. A sudden change will not be seen as good, it's more likely to be an imminent threat. Forgetting the studies claiming AI faults make people worse (failure to challenge, reduced recollection, time lost to fix bad outputs, etc) - it's probably better to try and be thoughtful on that. If it goes wrong best case is layoffs until offshoring. Worst case is forced commitment and your people decay for it.

I do know of a couple managers under 5 - as well as some who seem to have hodge-podge set of report-tos to have over 5. My circumstance is a coinflip, if I get merged into the other team honestly I'll take that. If the other team loses their manager, and is let go, I'm out too. The team itself is mandatory so layoffs have been relatively safe for us, so the chances of losing the entire team is very low. I will not assume it's zero though.

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Post ID: @dj+1ks4f49q6

@c1 most teams dont lose any staff

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Post ID: @c8+1ks4f49q6

Any Manager with a low headcount will be wfred and their team deleted or merged, unless they have a core deliverable to manage, which might buy them some time.

The majority are forced to fire any lower quartile performers, which ironically hastens their own demise.

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Post ID: @c1+1ks4f49q6

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