00:00Hello, everybody. There's a lot of things that's been going on in the world of tech, data, and AI,
00:03and we're going to talk about some of those things. The first thing is that Glassdoor and
00:07Indeed are now one company. And it says right here that the Glassdoor brand is now operating
00:13under the umbrella of Indeed Incorporated as of July 1st, 2026. You can see right here,
00:18no action is needed from you, but you can continue to use the one login we introduced earlier this
00:23year. That was like a month ago. So now you have one login for both of these. And of course,
00:28it says Glassdoor was founded with the vision of increasing workplace transparency and transparency
00:32thrives when your anonymity is protected. So all those anonymous contributions that you make for
00:37your salary and where you're working and how many years of experience and all that information,
00:42that is still all going to be private. Now, this is completely new to me. Apparently,
00:45this is not new. This was actually initiated back in like 2025. The merger didn't actually happen
00:50until July 1st of 2026. And I am just now hearing about this for the very first time just about
00:55two
00:55or three days ago. Now, genuinely, these are two of the biggest platforms to apply to jobs and write
01:00anonymous reviews for your previous employers and get a lot of data on things like salaries in different
01:05regions and a ton of different stuff. They're great platforms. I actually really like Glassdoor
01:10for their feature where you can go and you can say, hey, I live in Dallas, Texas. I have this
01:14many years
01:15of experience. And then they give you information on what you should be expecting in terms of salary in
01:19the next year or what kind of companies are hiring for that stuff. It's a really great feature. I have
01:25talked about it many times on my YouTube channel. So of course, this is just really interesting to
01:29me. Now, there are some pros and there are definitely some cons of this type of merger for
01:35you as a job applicant or for somebody who wants to be using these platforms. The pros are you just
01:40log
01:40into one and you have access to both because you're going to link your accounts and you're just going to
01:44have to go to one platform. Now, you won't have to go to two separate platforms, apply to different
01:47places. It's all in one place. So for that, it makes it a little bit easier, I guess. All the
01:53anonymity and all the anonymous posts that you can put and all the reviews of your previous companies
01:57that you can put, those are all still the same. So not much has changed there. And if you're actually
02:02posting a job, you're like the company, you're saying, hey, I want to hire somebody. You don't have
02:05to post to two platforms anymore. You just post to one and it'll go to both platforms because you have
02:10everything linked to both because they still are separate websites. They're not just one website.
02:15So there are pros to it, but here are some of the cons, which I definitely think are cons. One,
02:20you can't unlink your accounts. So once you link both of these accounts, the only way you can unlink
02:24them is if you just delete your entire account, which is not optimal at all. The next thing is
02:29that Glassdoor and Indeed actually laid off about 1,300 employees because of this merger. So they were
02:34like, hey, we're merging together. We don't need a full company for both of these. We just need,
02:38you know, some combination of that. They let go of over a thousand people. That's a lot. That's not
02:42really a great thing. Now, when two companies come together, oftentimes it's because they want
02:47your data in a different way or they want to merge this data or sell this data or different things.
02:51And 100% that is happening here. It's your data is going to be in two separate places. And if
02:56you
02:56want to delete it, apparently it's not as easy as it was before. The next thing is that AI ROI
03:01fails to
03:01outpace spend for 57% of enterprises unchanged since 2025. Now, right down here, something I thought was
03:08interesting. It says that independent research from MIT reached a parallel conclusion just a month later
03:12finding 95% of organizations running AI pilots on no measurable profit and loss impact. This is not
03:18breaking news as a lot of other studies have showed this, but a lot of companies are implementing a ton
03:23of AI stuff, but they aren't necessarily getting a big return on it, right? They're spending, let's say,
03:2810 million and they're making like $10 million in ROI from it. So not losing money, but definitely not
03:33gaining money. And so if you're putting this huge investment into this new technology, you're
03:38expecting kind of a return on that. The survey was of 639 senior enterprise AI leaders, and they said
03:4493% reported improved production capability in 2026 up from 88% in 2025. So it's not that AI is
03:52not
03:52helping. It's not that AI isn't a good thing. It's just not making them more money. And so that is
03:58kind
03:58of an important thing in the business aspect. I think you can all agree that if you're investing,
04:02you want to make money. And so this is just really interesting. I mean, as the years go on,
04:07I think you're going to see more improvement in AI. It's going to have more capabilities. It's going
04:11to do more things, but are companies actually making money from this? Are they willing to invest,
04:16you know, millions and millions of dollars into this technology if they aren't going to be making
04:21money from it? That's something that we will only know in the future when that happens. Something that
04:25you may have seen several months ago was that the White House and the federal government are no longer
04:29going to be using Anthropic, one of the big AI companies. This was announced a few weeks ago,
04:34and now it is being implemented. But Governor Newsom of California, of course, announces the
04:39first of its kind person at providing Anthropic tools to state agencies and improving services for
04:44Californians. It says right here, Claude will help state workers with a wide range of tasks,
04:49including drafting and summarizing documents, analyzing information, supplementing day-to-day work,
04:53and improving services for Californians. And of course, they're getting this at a 50% discount
04:59because this is not a small purchase. This is, of course, you know, just an entire state using it for
05:04all their workers. That's tens of thousands of people. I don't think this is necessarily a bad thing
05:07at all. I don't think that companies or governments should ban AI outright. I just think there should be
05:13more limitations on it. I mean, we're talking about the government, right? We don't just want the
05:17government using it however they want. There should be rules and regulations and laws in place,
05:22which, of course, America is really far behind in any type of regulation. And speaking of regulation,
05:29it says right here, U.S. companies face EU AI Act's possible August 2026 compliance deadline.
05:35The U.S.-based businesses that operate high-risk artificial intelligence systems should be mindful
05:40of the August 2nd, 2026 compliance under the European Union Artificial Intelligence Act. So the EU has
05:47come out with a lot of regulation around the use of AI. This was months ago.
05:52But they set a deadline for August 2nd, basically saying that if you do not comply with this,
05:56you can no longer operate as a business or within the EU. And that is huge. Although,
06:01yes, they said August, they recently voted to delay it until December 2027 and even further
06:07into August of 2028 for sector-specific obligations. So they're just going to delay this. It's going to
06:14take a while. But the European Union has been known for a lot of regulation, especially in the tech
06:19space. So if nothing else, this is a big wake-up call for a lot of AI companies and how
06:24they
06:24distribute it across the world because almost all these companies want to be everywhere. They don't
06:29just want to be in the U.S. Now, what happens if these companies just decide not to follow this
06:34regulation or these rules, which we have absolutely seen in the past? It says right here, companies can
06:39be fined up to 15 million euros or 3% of the company's global annual turnover. That is not a
06:45small sum.
06:46That's a big amount. I mean, 3% of a company worth billions of dollars can be hundreds of millions.
06:51And so companies are going to take this seriously. For smaller companies, I mean, 15 million years
06:55could be all the money that they have. So I guess it just depends on a case-by-case basis
06:59of the
07:00severity and how much they're actually going to be fined. I think when it comes to governments using
07:04AI and just all these rules and regulations, whether it's within California or the American government
07:10or it's the EU and their regulation, it's just that there is nothing that is the same, right?
07:16The American government does things their way. The Chinese government does things their way. The EU
07:20is going to do things their way. There isn't a lot of agreement on how these things should be handled.
07:24And if I know how the U.S. operates, it's kind of with a loose cannon, right? We just tend
07:29to go for
07:30things, make a bunch of mistakes, cause harm in a lot of instances, but then over time, we will adopt
07:37these regulations. The EU tends to be a lot more proactive where they're saying, hey, we know,
07:43and we've been looking into the potential side effects of these. We're going to catch it early
07:46so that it doesn't kind of blow up in our face. Yes, we are going to be behind when it
07:51comes to
07:52building out AI and all these different things, but we're not going to have a lot of the adverse
07:56effects that may happen within the U.S. So we will see what happens, especially in California,
08:01when they're rolling out Anthropic to basically everybody. Will there be a lot more issues in
08:05California with a lot of people just, you know, replying to AI, writing with AI, doing everything
08:10with AI, and nobody actually knows what they're doing? Or will it actually benefit and get things
08:14done faster? If I know the government, that's not going to happen. Nothing gets done fast in the
08:19government, but it will be interesting to see if they come out with actual data to support any
08:24findings, whether good or bad. With that being said, that is all we have for this week in tech data
08:28and AI. I hope that was helpful. I hope that was interesting to you. If it was, be sure to
08:32like
08:32and subscribe, and I will see you next week.
