AI Craze Grows Kooky Algorithm Antics

Ah, the simpler days when the most futuristic thing in your pocket was a calculator that could handle fractions. It sure does feel like a lost era at this point. Especially since humanity has just collectively decided to let algorithms run our lives. I’ve been watching this AI craze unfold firsthand, and it’s become clear that we’ve crossed some invisible threshold.

And no, nobody even bats an eye about it.

Fake AI Hype Creating Real Problems

First on the list, and probably the most important: AI is contributing to problems nobody knew they even had. We all know at this point, the most notorious example, which is none other than Google’s AI Overview. Imagine the “smartest” AI on Earth suggesting people eat rocks daily for “digestive health,” or even to use non-toxic glue so that your cheese properly sticks to the pizza.

Conceptually, we know that this newfangled search feature was built to make information easier. Instead, it just picked up the first information it could find with no verifications, zero understanding of context, and no idea of internet humor. Hence, the use of an 11-year-old Reddit joke post as serious advice.

Meanwhile, AI-generated content began creeping its way into deceptive marketing. Remember Willy’s Chocolate Experience in Glasgow? Stunning AI-generated marketing materials gave visitors the false impression of the event, with all of them frustrated and disappointed at the sparsely decorated warehouse they arrived at. Another incident in Dublin had hundreds of people line up for a Halloween parade that didn’t exist. We’re also seeing AI image generators with almost no guardrails, like Elon Musk’s Grok. Ask it to generate images of Donal Trump firing a bazooka or Mickey Mouse holding a bomb, and it will gleefully prepare it for you, general AI content policies be damned.

Sticking Corporate AI Down Everyone’s Throats

If you are a regular internet denizen, it is easy to realize that generative AI has effectively become part of our civilization. And leave the blame squarely on our corporate overlords pushing these onto every digital crevice of society. ChatGPT invades Microsoft Office, Gemini assimilates Gmail, AI slop camera features are being aggressively marketed for flagship phones, and the list goes on.

The fails are, of course, always the most hilarious parts of these developments. McDonald’s and IBM had the perfect concept of an AI drive-thru system, developed for three whole years, only to be scrapped in June 2024 due to utter incompetence. One TikTok video showed two people laughing their assess off while pleading as they witnessed their order blow up to $200 due to an unstoppable order of more Chicken McNuggets.

DPD’s AI chatbot meltdown was even more epic. When a couple of frustrated customers started lashing out at their digital conversational partner, it just started swearing back at them, among other wild outbursts. It even managed to write a perfect (albeit short) spoiler epilogue of sorts of its company’s demise, exercising its poetic neural muscles.

Ethical Concerns Behind AI Adoption

But there is a point where the shits and giggles come to an end, and things begin to turn dark. A whopping 81% percent of consumers believe AI companies will use their information in ways they’re uncomfortable with. Data privacy has taken an entirely new dimension with surveillance systems that are aided by rapidly advancing generative AI features. Think of the untold processed terabytes of personal data, often without explicit consent. Everything from healthcare information to biometric data. Generative AI has advanced infrastructurally to the point our entire lives are being fed to these “black boxes,” operating in a system that is never really understood (or dare I say challenged) by its creators.

There is also a severely increased algorithmic bias. Modern AI systems are designed to reinforce biases present in their training data, and if not immediately addressed, results in amplifying existing social issues. AI management tools rejecting a hire for a disease that is yet to even happen. Or, AI approval systems discriminating against a loan request due to racial bias. It may sound wild for now. But the signs are already appearing. In this new digital ecosystem, even casual entertainment habits are being algorithmically shaped. Some parents have started becoming more conscious about what apps are visible on shared devices, especially with the rise of adult-targeted platforms. There’s a growing awareness that certain content simply doesn’t belong in reach of younger users, even if it’s perfectly legitimate for adults. That’s why platforms such as Royal Reels website are getting attention. They don’t just provide iGaming content; they also promote responsible engagement by supporting tools that make their presence on devices more discreet and private.

What is particularly disturbing is that, we just accepted all of this. We don’t think for a second over the unprecedented amounts of personal information that is thrown at companies. The fine line between helpful monitoring and intrusive surveillance is not just blurring… it is disappearing entirely.

To Be Optimistic or Pessimistic of AI’s Future?

So what’s worth the hype? Well, actually, there is an argument for the idea that AI is actually underhyped. Former Google CEO and chairman Eric Schmidt says that people are still generally stuck to the thought that AI is just a tool to “make things,” completely missing their potential for business process management. In other words, autonomous AI agents. These systems will soon be able to complete complex tasks independently; scheduling appointments, writing software, and handling customer service. Perhaps as early just three years from now, a third of enterprise applications will be able to start using them efficiently.

The success isn’t going to be universal, though. It is expected that three out of four companies will fail trying to build their own advanced AI agent architectures. The complexity is just mindblowing. Not only does it require diverse models, but data architectures more sophisticated than today are required. An investment that no company has done yet today in 2025. How about that pricing model revolution everyone’s eagerly anticipating? Probably still too early for it. Despite all the talk about outcome-based pricing, nobody expects it to represent more than 1% of enterprise software revenue this year.

The Wall-E Question

So are we heading toward a Wall-E future where algorithms handle everything while we float around in chairs? Not that dystopian I suppose. But we are definitely heading towards the unknown. Let’s face it; AI is here to stay. It has become the invisible infrastructure of modern life, for better, or for worse.

People and groups that understand this shift can move decisively to shape the future. Those who just wait by the sidelines or follow the wrong path would be left in the dust. Think of how the Internet transformed commerce in the early 2000s.

Will have enough human agency and oversight to ensure that these systems serve us rather than the other way around? Based on our track record of questioning new technologies, I’m cautiously optimistic. After all, at least for now, we’re still capable of laughing at AI that thinks rocks are dietary supplements.

The future is weird, but at least it’s entertainingly weird.

By Christian C.