Meta's 10% Layoffs: Is AI Replacing Workers? Ep. 79 |

Meta just cut 10% of its workforce — that's roughly 8,000 jobs. But is AI really the reason, or is something else going on?

Q.B. sits down with Tiffany Ingram to break down what's really driving these layoffs, what workers should have been doing to prepare, and most importantly — what you should do RIGHT NOW to protect your career and income.

🔑 Topics covered:

Why Meta AND Microsoft are both slashing headcount
Voluntary vs. involuntary layoffs — what's the difference?
The "Big Lie Theory" — is AI just a cover for outsourcing?
How Meta is monitoring employees to train AI agents on their own jobs
Why leaning too hard on AI could destroy your business

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Timestamps: 

00:00 - Intro & Welcome
00:30 - Meta cuts 10% of workforce — what's really going on
01:30 - Why this is a shift, not a trend
02:14 - Tiffany's background: 15+ years in HR & AI change management
02:43 - Companies have always laid off — AI is just speeding it up
05:36 - Voluntary vs. involuntary layoffs explained
06:38 - Meta's "Model Capability Initiative" — you're training your replacement
08:54 - How to make yourself essential in the age of AI
12:12 - The "Big Lie Theory" — is AI just cover for outsourcing?
14:06 - The succession pipeline problem no one is addressing
16:01 - What happens when you rely too hard on AI (real examples)
19:35 - Why some workers are intentionally training AI wrong
20:04 - Bad leadership, not AI, is causing workplace anxiety
23:46 - Tiff's COVID story: how resourcefulness kept her employed
25:42 - Stop waiting — bring your leaders the AI strategy
27:36 - This isn't just a tech problem. Every worker needs to pay attention
28:14 - How people are making $500–$1K using vibe coding right now
29:30 - Closing thoughts & outro

#AI #ArtificialIntelligence #Meta #Podcast #Technology 

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Transcript

SPEAKER_00 0:16

Man, welcome back to another episode of The Think Successfully Room. This is a platform where we talk about artificial intelligence. I am your host, QB So F and Amazing. This is Tiffany Ingram. And if you're not thinking about what's coming next, you're already behind you, motherfuckers. Tiff, how you feeling?

SPEAKER_01 0:36

I'm feeling good. It's Monday.

SPEAKER_00 0:39

Yeah. There's something about Mondays where you trying to wake up. You trying to wake up and uh

Meta cuts 10% of workforce — what's really going on

SPEAKER_00 0:46

trying to trying to uh I don't know, it's something about the Mondays though, where you just feel like, okay, some something is kind of off, at least for me. But by the time the middle of the week get here, you know what I'm saying, you you snap back. Um, but no, I think as I as I was saying, a lot of conversations we have, I feel are interesting conversations, and this one is in particular is about metas. Uh Meta reducing uh or cutting 10% of its workforce. Right? And a lot of people may be thinking, like, why are they cutting 10% of its workforce? Now, first, I want to throw in the fact that Microsoft had a first-time buyout, uh offered a first-time buyout of to I believe several percent of their workers. Right? Yeah, and then right after that, Meta made the decision to cut 10% of their workers, right? So, in my opinion, I you know,

Why this is a shift, not a trend

SPEAKER_00 1:46

I don't think this is just a temporary thing, right? There's a shift that's happening, right? So um, what Meta is doing is it's like, look, if we could cut 10% of our workforce, right, that will free up money, and that will free up capital to be able to uh uh uh invest into AI infrastructure, whether that's uh data centers or whatever the case may be, in order for us to compete against other tech giants like OpenAI, maybe even Google. Um and they and they realize that this is a move that has to be made and that had that they have to make in order for them to compete in this AI race. So what's your what's what's your, you know, as far as meta cutting 10% of their workforce, what's what's your thoughts on this too?

Tiffany's background: 15+ years in HR & AI change management

SPEAKER_03 2:30

So, okay, just for level setting, when we first started, when we hopped on, um, and you asked me, hey, were you able to kind of look into this? I was like, you know, this in my backyard. And what I mean by that, like, so I've been in human resources just for your audience, um, just to kind of level set and let them know who I am. Even though I specialize in AI implementation and change management, I've worked in human resources for over a decade and a half.

Companies have always laid off — AI is just speeding it up

SPEAKER_03 2:59

And I've seen this time and time again. So let's be clear, companies that have been laying off people since the beginning of time. If they can't meet their financial goals, their last resort is going to be hey, we're gonna have a reduction in force. We're gonna lay off X amount of people. So again, we can have that money either saved or again, padded to go do other things, other initiatives. Now, with this particular one, though, you're right. AI, AI is being used or framed or blamed to say, hey, you know what, companies are cutting their workforce by 10%. So 10% for Meta is like, what, 8,000 jobs?

SPEAKER_02 3:45

Yeah.

SPEAKER_03 3:46

Right? So we're going to cut our workforce so we can reallocate these funds. Uh we've been talking about what, two years ago, we said, hey, learn how AI is going to impact your personal life, your professional life, your children's lives, right? Fast forward, now we're in 2026 and now we're seeing it. And you're right, this is a shift. There is a workforce redesign. I read an article, this probably not the same article this morning, where it talked about Microsoft and Microsoft's uh chief financial officers just saying, hey, we're now building leaner teams so we can be more agile to be able to again adjust or pivot to this current um climate. And so you pair that a leaner team with AI, we're no longer choosing to move a big ship like the Titanic. Now it's a little tugboat where again, they're able to a little yacht, speed yacht, they're able to adjust and reconfigure. So this hasn't been the first, this won't be the last. I mean, what several months ago, Oracle sent 30,000 people, I believe, an email to saying, hey, you know, we no longer need your services. Don't even come into work today. And so it's I think AI is like with anything else, is speeding up this whole layoff situation. And it's forcing, it's going to force us to learn different skills, a different skill set.

SPEAKER_00 5:24

Absolutely.

SPEAKER_03 5:25

And so I think that's that's the biggest piece. It's redesigning how we do work and it's doing it at a fast rate. So um, yeah, this ain't it's something that you said, one thing I want to call out, and then I'll turn it over to you. When you said Microsoft, this is their first time doing an involuntary, I mean a voluntary buyout. So I want to make sure your listeners understand there's two ways that you can lose your

Voluntary vs. involuntary layoffs explained

SPEAKER_03 5:52

job, right? You can either it's involuntary where they just tell you, hey, your services are no longer needed, turning your keys in your badge today, or a voluntary where you have a pool of people that you figure, hey, are near or close to, I wouldn't even say retirement age, that you predict that they would accept the buyout and take it, right? So it doesn't necessarily, I remember when I was actually instrumental in doing one of them. We had a certain amount of people that we knew wanted to retire. And the only thing they needed was a certain amount of money to kind of pad or cushion them until they can get on to Medicare or whatever the case may be. So a volunteer is somebody saying, Hey, you know what? I no longer want to work here. What you're offering is better than me staying, so I elect to leave. When that happens, it's on a happy note. But what a lot of organizations don't account for, you have all this knowledge walking out the door. So who's gonna train your AI models? Who's gonna train the people? You may have had one person doing one job, but now you find out you need four people doing that job. So I just wanted to call

Meta's "Model Capability Initiative" — you're training your replacement

SPEAKER_03 6:54

call out that.

SPEAKER_00 6:55

You want to know what's scary about that? Um, I'm a I'm a because you said you said who is going to train the AI models, right? So let's say the workers, because I think they're set to uh go through with this, I believe, May 20th. You know, don't quote me on that date. I think it was May 20th, though. So what they're doing is employee monitoring, right? So uh that's the you know, that's that's the thing. It's like, okay, so if if all this knowledge is going out the door, who's going to train? Who's going to train these AI models? But what they're currently doing is they're monitoring their employees as of now. So they call it model capability initiative, I believe. So the AI is able to track uh employees' activity as far as like keystrokes, mouse movements, um, and and that alone is what's going to train these AI agents. So by the time you know the workers do leave, now the AI is trained to do exactly what they were doing. You know what I'm saying? So it's almost like you are training the AI models without even realizing it. Um yeah, and as we as we said a long time ago, shit uh Tiff, that this this was something we should have knew was was gonna happen, you know what I'm saying? Because, you know, AI has been growing since then. You know, uh, especially with Meta, Meta was was more so about uh VR metaverse and things like that. So they realized, like, look, that's not the move right now. So I'm almost willing, you know, I'm almost willing to take a guess or make an assumption. Like a large a lot of employees in that division is probably gonna lose lose jobs as well, simply because the the metaverse is the they're shifting from that to to more so about you know exactly what what what open AI and Google was going for in order for them to compete. So, man, Tiff, as far as as far as like the I guess the workers that's that's that's on the verge of losing their jobs. I know we done talked about it, but what's the main thing that you that you feel they should have been looking forward to or being prepared for before this move was even made?

How to make yourself essential in the age of AI

SPEAKER_03 9:10

Just learning how AI is going to disrupt your industry, right? And that's still that's still a matter of fact. Like you need to understand how it's going to show up, how it's going to change things, and how you can position yourself as an authority or a need to have uh employee within that organization or any organization. It's really about making yourself more marketable, understanding the skill set, like kind of kind of prefacing or or or forecasting, hey, here's a skill set that I'm gonna need in order to be marketable no matter where I go. And I've always utilized that philosophy um because as things change, we have to change. Because if you don't, then again, you're you're at a disadvantage, and I'll put it that way. And so I think going back to something you said, you know, just because a uh individual works in a particular division, if they hold a certain skill set that can be used in another part of that organization, and they can do it better than somebody that's like say the lowest performer in that or in that department. So say they go from virtual reality to, I don't know, AI support. I don't know, I'm just making up something. And they hold a skill set and they're more proficient than someone that's already in that in that particular role, they can be removed and replaced that person. So it's really, you're at a race right now. You need to understand if the market that you're in now isn't the market that you want to be in, you need to start studying and understanding how AI is showing up. Kids that are going to college, they need some sort of AI class or AI introduction to understand how, again, in the next four years, how is AI going to continue to change the landscape of where they're going, the the industry or the the profession that they're going into work. And so, you know, now is the time, right? Because you never know. You never know when you're when you go, when or if you're in that position and now you're playing defense instead of offense. So um Yeah, go ahead. Because I'm I was gonna say something, but go ahead.

SPEAKER_00 11:32

And then now it's at a point to where, you know, uh a lot of a lot of people is just in the workplace and they're very, they're very on edge, right? They're trying to, they're trying to they're trying to do the best they can do. They're trying to make sure that they're on point with everything because they don't want to be one of the ones that get cut, you know what I'm saying. Mind you, it's only it's only it's 10% that's getting cut, but some people is going to be able to keep their their job. Uh, I forgot the term or the idea that they called this. Um I was trying to search for it, but you know, imagine having, you know, 300 people or, you know, um 8,000, 9,000 workers, and you and you you cut everybody and work your way down to 50. So now you have a smaller team with the help of AI. Yeah. Now y'all able to get the same amount done, you know, that's that you were able to get done with an entire team of 9,000 people. Um

The "Big Lie Theory" — is AI just cover for outsourcing?

SPEAKER_00 12:28

I wanted to get your thoughts on this, Steph. I don't know if you heard something called the Big Lie Theory. You know, now this is just a this is just a theory that, you know, the the community was talking about. So it is some people that think that the big tech companies are falsely uh attributing job cuts to AI-driven automation when they are actually outsourcing jobs formerly held by the by Americans to workers in Asia and Africa uh to to to cut costs. What's your do what what's your what's your thoughts on that? Do you feel like that could be possible?

SPEAKER_03 13:05

I I think I think it could be. I mean, I think it's a mixture, right? Organizations are going to do what they need to do in order to be profitable and be more competitive. AI allows you to be a lot faster.

SPEAKER_02 13:20

Yeah.

SPEAKER_03 13:22

Hiring someone overseas, you could do it at you can do it at a cheaper cost. Right, right. Any business person that wants to remain in business is going to look for ways to again be more competitive and increase their revenue, right? So I think those are things that have already been in play before AI. And I've always like any platform that I get on, I try to make sure that people understand AI just didn't wake up on its own and say, oh, okay, let me enter into this organization and have them cut 8,000 jobs. That's a leadership decision. Leaders are making the choice to say, hey, either I want to reinvest in my people, or okay, I want to reinvest in my people and help them leverage AI and still be competitive, or I just want to completely

The succession pipeline problem no one is addressing

SPEAKER_03 14:22

cut the cut the roll, cut the head count, and invest all of this money into AI and the the um again get the perks that come along with that. But what organizations are not realizing is that they are they are um weakening their secession pipeline, right? So you we all know a junior person comes into the organization, they do the entry-level role, they learn, they get promoted and promoted and promoted and promoted. You're creating that legacy within your organization so you can ensure it can continue. With such a lean team, right? And you're offsetting or augmenting and saying, hey, I'm gonna have a computer do this, how are you building that in your organization? And as AI changes, right? What if, what if all of a sudden one day, because I'm even thinking about this in my company, I don't want my company to rely too much on AI, because what if one day it becomes inaccessible to me? Maybe I can't afford it, maybe the price is too high, right? I can't afford another utility deal, right? AI usage. So is that going to destroy my business? Because half of my employees are human and half of my employees are well, because when we think about AI agents, right? Half of my employees are AI and I can't, I can no longer afford to access that. So companies really need to think about this. What is your secession planning? What is your legacy going to look like? And are you putting too much weight on just AI running a portion of your business, right? I talked to a CEO, he said, hey, I want to be able to be out on the beach and AI run my company. And that scared me because I said, Well, what if something happens? You know, we see, I've seen cases where AI has made the decision to delete

What happens when you rely too hard on AI (real examples)

SPEAKER_03 16:17

all of an organization's customer history because it ran into a problem.

SPEAKER_00 16:23

Damn.

SPEAKER_03 16:24

So it erased everything because it was an agent, and instead of saying, hey, human, I need your help, it was resourceful and it did the thing that it thought was best. It erased everything and started from from scratch, right?

SPEAKER_00 16:37

So we had to be we that remind me of my not to cut you off.

SPEAKER_03 16:41

No, go ahead.

SPEAKER_00 16:42

But that reminded me of a book that I had read on uh, well, it was an audio book on artificial intelligence. And uh I can't remember the exact story, but I did okay. So it was an AI or a robot that was designed. Um, so I guess the woman, her work schedule um was hectic, and she seen she needed someone to just be there to feed her child or whatever. And I guess it was a robot that was designed to make sure her her kids was fed and make sure the kids was taken care of, right? So the robot the robot was designed, like if the if the child is hungry, okay, the robot know, like, look, it's time to feed the child. Now, you never really, it really didn't wasn't told exactly how to feed the child. It just said, look, I gotta feed the kid. So I guess apparently there was no there was nothing to eat in in the house. Um, or it couldn't find anything to identify as food. Okay. But it was a cat running around.

SPEAKER_01 17:53

Lord.

SPEAKER_00 17:54

It skipped that motherfucking cat. It skipped that motherfucking cat and tried to feed the and tried to feed the uh the the cat to the to the to the baby, you know what I'm saying? Because it it didn't know, it it could not distinguish what was right to give it and what wasn't right to give it. It was just, I just gotta feed the, you know what I'm saying? So that reminds me of when you said that when you when you put an artificial intelligence in complete control and there's no human oversight, things like that can happen. You know what I'm saying? Like you, it's a situation where you you put too much trust in the AI, and the AI has completely eliminated your customer history, you know what I'm saying? So you can't even strategically run your business for real because your your customer history is gone. And then when we compare that situation to to what I just said about the okay, it just knew to feed the child. You ain't say exactly how to feed it. Look, it ain't no food in the house. It could not, it couldn't find nothing that's food. But it was a cat running around like, oh shit, let me skin that cat, and then I can I can feed that. So yeah, that's that's a dangerous thing. And um, nah, that's definitely something to point out. And, you know, it wouldn't actually, it wouldn't be a bad idea to really compare the company for real, you know, because Meta, as we mentioned, is trying to compete with other AI giants, and other AI giants are investing billions.

SPEAKER_01 19:21

And they're doing the same thing.

SPEAKER_00 19:23

Monthly.

SPEAKER_01 19:23

They're doing the same thing. Okay.

SPEAKER_00 19:25

Yeah, yeah. And um, I'm not really sure, you know, which which business is doing better than others, but you you know, that's something to think about for real. You know, are you willing to invest billions every every single month trying to keep up with the AI race and it and and you know, and at the same time eliminate your workforce or 10% of your workforce, or is that just a is that's just a gamble you're willing to take? So nah. That's that's definitely something to look into too.

Why some workers are intentionally training AI wrong

SPEAKER_03 19:51

There was something else that you said too. You said, you know, the meta's employees are being monitored, so AI's learning. Um, I read an article, it was last week, that talked about how a lot of Gen Z um they're they're aware of this. Or people just in they they they put the the title of Gen Z, but I think all employees that understand this concept

Bad leadership, not AI, is causing workplace anxiety

SPEAKER_03 20:20

of hey, my job is being reviewed by AI, I don't know if it's going to take it. I'm going to train it the wrong way on purpose, right? It's because we're impacting, if we go back to Maslow's hierarchy of needs, my very basic needs, you're impacting it. My financial well-being, I don't know. I don't feel there's a lot of anxiety around AI, and it has nothing to do with AI, really. It has to do with how leaders or or just well, leadership with an organization, how they're handling it and introducing it into a company, right? Um, because I've seen where businesses, you're walking on eggshells, you're you're like you say, you're trying to do everything perfectly because you don't know if you can be next. Now imagine on the flip side, you walk into an organization that says, hey, this is a tool because we want, we want you guys to be faster at your jobs. We want you to be more equipped. We're using AI to create, you know, you talked about what we talked about a couple weeks ago, the school, right? Creating, you know, specialized learning plans for children. They're doing that in in the workforce too. LinkedIn, based upon your job, can refer different classes or courses you should take to help you build skills. So if you compare and contrast, if I work for an organization that had they're up front with me, they're telling me how AI is going to be used. They're also telling me, hey, as roles become available, we may not feel them because we may find a way to, again, supplement it with AI. Tell me the truth up front and let me again navigate through that. But if I can see how it's going to help me, I may be more inclined to work alongside it versus working against it.

SPEAKER_00 22:11

Yeah, I think I think the alpha school discussion we uh we had. That was an eye opener. You know, if that's not if that's if that's uh if that's not an eye opener, I don't know what is. You know, they clearly see what's coming and they're trying to equip the kids early so that they can begin utilizing AI to create something of their own. And unfortunately, as adults, we just haven't caught on to that yet, and now we're in a position to where our jobs are on the line uh and and possibly being replaced by AI. You know, it was a uh it was a magazine that I got a couple years ago out of Bars and Nobles. A little quick read um as far as how to use AI to write, how to use AI to be creative. Uh it also talked about how to use AI to build systems. And it was one thing, it was one thing in there that stuck out the most. And uh I think at the beginning of the magazine, it said, like, look, I don't I don't believe AI has a mission to just eliminate jobs. You know, it was never it doesn't have a mission to eliminate your job, but it's kind of one of them things where it would just happen naturally if you don't learn how to utilize it. You know what I'm saying? Because you mentioned that it's is AI isn't the problem, it's just you have a lot of people in charge that's making the decisions uh to replace you with AI. You know what I'm saying? And that's exactly what that magazine talked about two, three years ago. It's that it was just uh it was just by nature that is going to replace you if you don't learn how to utilize it. And that's exactly what we're seeing here with uh uh job cuts by by Amazon and uh um you know Microsoft, even Meta, you know, they're they're prioritizing AI infrastructure over over over human labor, and that's that's something to be concerned

Tiff's COVID story: how resourcefulness kept her employed

SPEAKER_00 24:02

about.

SPEAKER_03 24:02

Yeah, and it's it's literally again, you have to you have to take not when I say you, like for instance, me. Right? I I remember during COVID, um, you know, my my leader at the time said, Hey, you're going to, we're gonna have to cut you. We're gonna have to cut have to cut your um your hours or whatever because you can't come in the office. If the employees aren't here, then what's the need for you to be here? Or why should I, you know, we have to find ways to to save money. So you know what I did, Q? I said, okay, I'm not going on unemployment. That's not gonna be an option. What can I do that can still help employees from home? And you know, around that time it was hard for you to get in touch with someone at the unemployment office, right? Guess what I would do? I may be on the say you worked for the organization I work for, you contacted me, hey Tiffany, I'm trying to get in contact with the unemployment office. You know what I did? I read out that number. I had you on three-way, I read out that number. It may have taken me three hours to get you connected with somebody, but guess what? That was worth me staying full time because we were helping our employees get to a live person and establish their unemployment claims, they call their unemployment claims. People would call me on the weekends on my phone, like Tiffany, can I get an appointment with you on Monday? And that's how I was able to still stay on full time, still work for my house. Even if I had to call, I could spend four hours on with one with one employee.

SPEAKER_02 25:51

Yeah.

SPEAKER_03 25:51

But what I was doing, it it was it weighed. It made it made sense, it made a difference.

Stop waiting — bring your leaders the AI strategy

SPEAKER_03 25:58

I have a master's degree. What am I sitting here on the phone dialing a phone for you? Right? You can do this yourself. But I found a way to be resourceful, and that's what people have to do. You can't wait for these leaders to tell you how AI is going to, you know, how how AI is going to be used towards you. You need to be in the position to tell them, I understand you're seeing it this way, but this is how me and the AI can help the organization get to its goals. So you need to understand what the business strategy is, what are they trying to do? Where's the gap? And can you fill in that gap? That's the key. How can you fill in the gap? How can you make sure that they're not the next company or organization we Google? Because again, the AI has has erased all of their customer history, right? You could formulate some sort with AI, you can formulate some strategy that says, hey, I can be the human in the loop because I understand it.

SPEAKER_00 26:58

Mm-hmm. Yeah, I think, I, I think the def uh the the ball is definitely in your court, whether you know it or not. Uh it's just a matter of uh we should have like Tiff was pretty much saying, it's just a matter of like how can you how can you utilize AI to your benefit? You know, that's it's it's always been about that. And um, you know, and and now that we're we're seeing it, you know, like we like we said, this is this is a shift that's happening. It's not temporary. You know, every every company, you know, every company is moving towards this. So now, you know, and and we not trying to make this just about meta uh meta, no, you know, ex AI, open AI, uh, Google, whoever, you know what I'm saying? This is this this can this is for the average worker as well, you know what I'm saying? People that's not in that sector. This this is also something to worry about. You know what I'm saying? How long, how long is it gonna take before your job

This isn't just a tech problem. Every worker needs to pay attention

SPEAKER_00 27:52

figure out a way to use AI to replace your your register, you know, your grocery store gig or you know We see that. We see it now, you know what I'm saying? Maybe they got robots in in, you know, in the works to to to stock the shelves for them, you know what I'm saying? Who knows? This is things we have to, these are things we have to worry about, and now is the time to understand or or figure out how to use AI to your benefit, create systems and and really create something of your own so that it doesn't catch you off guard. And uh, yeah, I think, Tiff, is there anything else you want to add on this on this subject?

How people are making $500–$1K using vibe coding right now

SPEAKER_03 28:30

I would just say, you know, like you said, the time is now. Learn how, and even if it's not in something that you're doing currently, right? Maybe it's something that you've always wanted to get into. There are people making a lot of money with using AI. They're looking up, let's say your business had a website queue. They're looking to see if your business has a website. If you don't have a website, okay, they're using AI to create a sample prototype website, giving you a call that says, hey, Q, I see that Q's production is listed. You have amazing reviews. Imagine what that could be if you had a website like X. They pull up the demo website that they've created with using AI through a skill called vibe coding. They put in two sentences, create you a website and charge you $500 to $1,000 for this. And it probably took them a matter of maybe an hour. I know people that are making money. So you have to start thinking about, even if it's okay, it's totally separate from your role, how can you leverage AI to create another source of income for you?

SPEAKER_00 29:46

Absolutely. Absolutely. So that's that's where we want to end on this note, y'all. Um utilizing AI to its benefit, and I'm gonna quote this again. AI never had a uh it never had a goal to eliminate jobs. It's just it's just gonna be it's just gonna happen by way of nature, you know what I'm saying? Um, so it's either you use it or you don't, you know, you be stuck in a situation, a tough situation, just just out of nowhere, you know. So um, yeah, y'all. So make sure you follow, follow myself, make sure you follow Tiff. Uh description. Um IG links are in the description. Uh we are now on Spotify, iHeartRadio, uh, uh Apple iPods, you know. So if you're not someone that likes to look at the video, put us in your ear. That's that's just as good. So um make sure you subscribe to the YouTube channel as well so that you can be notified on future content. As long as we see this support, y'all, we're gonna continue to keep going, giving you this knowledge, giving you this information, keeping you updated inside of the AI world so that you can see what's coming before it catches you off guard. So uh without that being said, y'all, life is good, life is wonderful. Be blessed to be alive. Self sufficiency is how you survive to the kings and queens, to the guys and goddess forever and always. Things successfully.