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91% confident · Review Dec 2027
AI will be adopted first in workflows where outputs are visible, reversible, and reviewable. Code review fits that pattern better than autonomous engineering.
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Right now my fiancé and I are trying to understand which pet will match our lifestyle so everyone is happy, and I've been thinking a lot about why people don't get pets and the future market of AI pets. A landlord who says no, too much travel, for someone it is about allergy, or just the honest reality that a dog costs over $1,500 a year once you count food and vet visits. A lot of people who would love an animal companion simply can't have one for very different reasons. That gap is what makes me think robotic pets have a more natural path to normalization than people expect. Moreover, I have one. Not an ad, I promise hahaha, I have EMO AI, and it's more of a desktop companion, but I also see it as a pet actually. And there's a historical argument that I find really hard to dismiss. In the 1970s, millions of people adopted Pet Rocks. Literal painted stones, no movement, no sound, no AI. They gave them names. They felt attached. That wasn't irony or mass craziness. It was a demonstration that human bonding instincts don't actually require biological life (at least in some cases). They just need the right framing. If that was true of a rock, what happens when the object moves, recognizes your face, and remembers your name? And from my experience it doesn't give you the same thing a living pet gives, of course. But when I imagine my desk without my desktop pet, I feel like that place should be taken by it. Before becoming common in every household, it may first gain popularity in specific situations or environments. Here’s an interesting insight into how AI pets can influence people and help in certain cases: South Korea has deployed robotic companions to elderly people living alone government funded, with clinical evidence of reduced loneliness. the impact of companion robotic pets. Therapeutic robot pets are being used in Alzheimer's wards and autism therapy. Sony's AIBO has been on the market for years. This isn't concept territory anymore. I don't think robotic pets replace real ones. I think they reach the people real pets can't reach or become a perfectly interesting additional companion. Why not? I have EMO and still want a real pet. And that group might be much larger than we think.
I believe people will get bored very quickly of existing social media. As soon as everyone will realize that ANYTHING could have been created by an AI, everything will crumble. People will only trust a few influencers/relatives, and small communities will emerge, where people know each other and trust each other. I believe it's already starting in the tech communities 👀
Do you remember the times when computer games were less hungry in consuming storage. The assets were compressed and they were loaded into RAM during the boot. Nowadays, it seems to be a nothing special for a game to consume 60GB+, and we do not count game updates or add-ons. The partially happened due to lowering the costs of SSDs. Of course, until we recently had a spike in prices which affected multiple areas - SSD, RAM, GPU. The headlines around it were translating the same message - demand for hardware is so huge. But when the time to pay has come it became obvious no one could afford such a deal. That is where it all may have a different direction. Imagine you can afford only a small commercial place to start building your coffee house. What are your options? You can take a loan to go for a bigger place or you can try optimising square meters within your budget. Less noisy furniture, more pragmatical staff. Same, in my opinion, should be applied soon to LLMs. Current demand dictates a much bigger need in compute for AI, not event saying yet about AGI. Compute comes together with energy consumption and cooling. Better performance could be achieved not only by increasing compute power, but by improving efficiency of current algorithms. Less data centers to build, less cooling systems to maintain, less GPUs to buy. Also, investors would fed up at some point of having bloated CAPEXes. Something similar happened already in 2017 with Google releasing a research paper for Transformer. This discovery became a starting point for modern LLM we have nowadays. My prediction is - existing LLMs would help improve existing LLMs, reduce cost of running, reduce hardware need and would allow running LLMs on smaller devices.
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