Tag Archives: AI Bubble

Right out of the left field

I had a mind blast a few hours ago and I don’t know what got me to this. Well I kinda do, but I was not giving it much thought. So as I was enjoying a few moments (a moment is an hour) on YouTube, I saw a video about the Epic Universe, which until President Trump decided to go the way of the Dodo, it was my ultimate intent to spend a vacation in Epic Universe, but as things are, there is no way I am going there in the next decade (optionally the rest of my life). Now my mind is set to the theme park world of Yas Island in Abu Dhabi. So as I saw the YouTube video I suddenly had an idea. This is not something I can do, but after all the idiocy settings of HR people relying on AI settings. It struck to me that these people could use a ‘simulator’ several settings from stores to amusement parks. 

So consider that HR is set to a skill level as it tends to be, but how do you hire? What triggers are you considering? That is the stage of the simulator. You are given a pool of people and the DML/LLM of that system creates the letters, the person goes through them and selects their top 5 or top 10. Then the interview and from there you get 2-3 that go through the final round. Just like your average job setting. So, as you go through the settings of HR, the simulator gives you a rank, but more importantly it shows HR what staff needs additional training. So this would be an actual simulator to improve the HR setting of a company. 

And believe me, I have seen my shares of flaky scammers (so, not HR), HR that flatly deny you, and those who seem to believe that a new starter requires 5-10 years of expertise. There are all kinds of HR and as I see it, when the AI bubble bursts, whomever will be unable to hire the right people, will go under in that AI bubble and they will not be heard of again. The setting is that the truth of the matter is that any firm will need the right people. Who that is tends to be up to HR, but how to get them seems to be unclear. As such my mind came up with the simulator setting. Based on a pool of people with DML/LLM letters so to get a mingle of types as the simulator expands into construction, retail, consultancy we will see a while range of options and there is no immediate release. To add the styles and settings will take time, but consider that the United States has approximately 36.2 million businesses and the European Union has approximately 33.5 million active enterprises across its business economy. That is a pool of almost 70 million potential customers, the retail sector is still a lot less, but it is a start and when the simulator gets the power it needs to get, the simulator gets the finance and attention to grow into something serious. So, it was just an idea and if a dedicated IT HR programmer is out there, this idea is for you. I am not getting involved in a work I have seemingly no clue about.

Anyway, that was the idea I had today, I reckon that it could use the setting of localization down the road, especially with over a billion people in India, but as I see it, the USA and EU are a decent first bet. Have a great day.

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Why is a stage a stage?

That is at times a decent question. Even for me, because as I write this, I do so subjectively, nearly every writer does. Writer about his point of view and I am no better (or worse for that matter). It is the merging of two points of view and these points of view are others points of view and they have their own reasoning. It is not about good or bad, points of view almost never are in a set stage. But they must be watched as they influence your own point of view and whilst some are eager to give them all a one sided setting, I learned that this is not something that tends to help. Especially if points of view are multidimensional. As such, I give two points of view and blend them to my own stage.

The first was given by Yahoo Finance (at https://finance.yahoo.com/news/how-oracle-became-a-poster-child-for-ai-bubble-fears-150039511.html) I don’t agree with that point of view but it was a decent setting of a stage. And stages are where we are.

The first setting gives us ‘How Oracle became a ‘poster child’ for AI bubble fears’ I don’t believe in that setting, but it matters for the whole story. “Oracle (ORCL) stock’s boom and bust in 2025 has become emblematic of the tech trade’s central conflict: Investors can’t decide whether AI is a generational opportunity or a looming risk.” But then we get “AI optimism continued to push Oracle shares higher following its quarterly earnings reports in June and September, with AI-driven deals set to push cloud segment revenue to $166 billion in 2030. The stock’s surge in September briefly made Ellison the world’s wealthiest person. But AI euphoria quickly gave way to doubt. Investors became increasingly concerned over the rising use of debt to fund tech firms’ AI spending, just as the payoff of that spending remains hotly debated. Those concerns are evidenced in the budding demand for Big Tech credit default swaps (CDS) — financial contracts that act as insurance by letting investors bet on the likelihood that a company will default on its debt.” And that setting is somewhat important, and for those who remember the 2008 crash, they fear the stage the the CDS and that is fine, I don’t think that this setting is great, but the stage of letting investors bet on the likelihood that a company will default on its debt is not really great, it is the stage where some will set or even orchestrate the need for some to fall and that is what makes the bubble burst and I gave that setting before (at https://lawlordtobe.com/2025/12/02/aftermath/) in the story ‘Aftermath’ where I highlighted parts of the equation. It is the second part that is the setting of the stage and it is about stages. You see, we all envision a stage whether it is the real stage sets part of the question and when we consider the stage we think matters, we might look at the size, the lighting or how we move on that stage. All matters for consideration but I digress. The second story was given to us by the Motley Fool (at https://www.fool.com/investing/2025/09/16/prediction-oracle-will-surpass-amazon-microsoft-an/) and there we get ‘Prediction: Oracle Will Surpass Amazon, Microsoft, and Google to Become the Top Cloud for Artificial Intelligence (AI) By 2031’ where we see “Oracle forecasts that revenue from its Oracle Cloud Infrastructure (OCI) segment could grow from around $10 billion in its last fiscal year (fiscal 2025), to $18 billion in its current fiscal year (fiscal 2026), $32 billion in fiscal 2027, $73 billion in fiscal 2028, $114 billion in fiscal 2029, and $144 billion in fiscal 2030 — corresponding with calendar year 2031.” As well as “Oracle’s push into cloud infrastructure is arguably its boldest bet in the company’s history. Oracle isn’t cutting corners, either; it is bringing on dozens of data centers online in just a few years. It has built 34 multi-cloud data centers and should have another 37 online in less than a year.” Now we have seen two not aligned stages, but the actual stage it a lot larger. You see, the others all ‘want to align’ with Oracle, but that merely means that they want the solutions that Oracle has or get the customers that have selected Oracle, but the others forget something that matters. Oracle has been the data innovator for over 45 years and no one can touch what they achieved, even in the early 90’s they were the only one who could set tables within tables and it took others close to a decade to even get close. Azure, AWS and others never got ahead of Oracle, they merely reengineered what Oracle already figured out and there is more to come. 

You see the two stages are in a larger third stage and as I see it, Oracle has focussed on the data that is needed for DML and LLM settings, but they must know that actual AI requires more and it starts with two elements Verification and Validation. There two parts are the achilles heel for anyone making the statements that this is AI (which it is not) and no matter how much you train data sets, when Validation and verification are absent the GIGO law comes into play. It was uttered in the 60’s and means Garbage In, Garbage Out. Without Validation and Verification all data becomes part of the GIGO law. Most do not realise this, or they simply do not care, but Oracle figured this out long ago (A speculative thought) and we need to consider the Oracle might be trailing on some new technology, but they are ahead in many ways, more so than either Azure or AWS. And the largest settings we see at this point if that some are ‘gambling’ that Oracle messes up, but I think that is not the case. Oracle is hanging on and that is what matters. The data centers that are coming and that are build need to make money, but that is not the stage of Oracle, they got the equipment in, they got the software in and now as these centers start making money, Oracle gets their share and as such they are the facilitators of wealth and that is until there is an actual AI and as I see it, Oracle will be the only one who will set the premise of that and that is why Oracle will surpass all others. Even Google and IBM will seek the shores of Oracle. 

A stage that might take a while, but in all this, any training data centre will owe Oracle money (and a lot of it), so Oracle can play the long game, because in that stage only Oracle will come out on top. That is how is see the stage, the size a lot larger, the lights will put Oracle in the limelight and all others will remember why Oracle is the only one who is master of data storage technology and that is why I believe that the second is part of the real future of Oracle and whomever connects to Oracle. But in all this Oracle is the most essential data solution technology out there and when I saw the ‘negative’ settings around on December 2nd, I knew that it was doom speak of some for whatever reason they had. I knew that Oracle had a different future ahead of them, a much brighter one.

Have a great day, today was cooler, so I feel decently rested, but in these warm days before Christmas I rather miss the white cold of Sweden (or Canada). 

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