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\t\t Learn new ways to do work, studies, and hobbies<\/p>\n AI has no purpose<\/p>\n At least, for consumers<\/p>\n I was prompted to write this after watching a video posted to the YouTube channel Upper Echelon, titled \u201cTotal stagnation: The AI \u2018nothing\u2019 services.\u201d<\/p>\n The thesis is that current Large Language Models (LLMs) have no purpose to consumers, are solutions looking for problems, and will fail because of it.<\/p>\n Many of the opinions voiced are valid, but what caught my attention most was the following quote:<\/p>\n The list of examples shoehorning AI into every conceivable industry or product purely because of misguided AI hype could almost go on forever.<\/p>\n Anyone remotely interested in tech will likely completely agree with this statement. I know I do.<\/p>\n The video goes on to mention products like the Rabbit R1 and the Humane AI Pin as examples of bad AI products, but does admit smart glasses may suit AI well in the future<\/a>, with the caveat:<\/p>\n The lion\u2019s share of these products right now are trying to replace the smartphone by doing things worse, slower, and with a higher rate of errors compared to what apps already do, and what a human user is easily capable of.<\/p>\n The trouble is, it\u2019s hard to argue with this. The comments are mostly in agreement, with only very few speaking out about how LLMs can be useful.<\/p>\n Upper Echelon is a tech-adjacent channel, and because AI features on our phones, outside LLMs, are largely pretty useless, the mostly negative opinion is unlikely to be out of step with the growing mainstream audience being exposed to AI.<\/p>\n But it\u2019s only the start of AI\u2019s reputational problems.<\/p>\n The AI bubble<\/p>\n Whether it bursts or not doesn\u2019t matter<\/p>\n In November, the \u201cAI bubble\u201d was big news almost everywhere, with opinions on whether it exists and if it does, if or when it will burst.<\/p>\n What makes this fascinating is a large percentage of the coverage came from outside the tech space.<\/p>\n An excellent example is Coffeezilla\u2019s video, titled \u201cWe are not Enron.\u201d Coffeezilla mostly talks about cryptocurrency, but this video took a look at how Nvidia and OpenAI are believed to be feeding a circular AI economy.<\/p>\n It\u2019s fascinating and very accessible to those outside tech. It also paints a bleak picture of what\u2019s happening.<\/p>\n Host Coffeezilla had so much to say on the subject, he made another video titled \u201cThe state of the AI bubble\u201d on his second channel, and again, it wasn\u2019t particularly positive.<\/p>\n Combined, these two videos have more than three million views.<\/p>\n For those interested in a more in-depth, data-driven look at the AI circular economy, Hank Green \u2014 best known for his science videos, and Google\u2019s best app of the year<\/a>, Focus Friend<\/a> \u2014 made a video titled \u201cThe state of the AI industry is freaking me out.\u201d<\/p>\n It has 3.2 million views, and doesn\u2019t do much to convince anyone we\u2019re not in the middle of an AI bubble<\/a>.<\/p>\n AI becomes politicized<\/p>\n And a lot of people are paying attention<\/p>\n This kind of negative attention goes far beyond the environmental concerns surrounding AI, which many find easy to ignore.<\/p>\n It\u2019s about money.<\/p>\n And combined with AI beginning to replace jobs<\/a>, it affects people\u2019s bottom line and, unless you\u2019re Sam Altman, Jensen Huang, Mark Zuckerberg, or one of a few other billionaires, it\u2019s not in a good way.<\/p>\n It\u2019s certain to make people sit up and take notice of AI, evidenced by another video, this time by Canadian broadcaster CBC News.<\/p>\n The host simplified all the AI bubble news into a measured 10-minute video titled \u201cIf the AI bubble pops, will the whole U.S. economy with it?\u201d<\/p>\n For the video to try to answer this question, it means people are asking it. Almost 500,000 people have watched it to see if it was answered.<\/p>\n AI continues to become more politicized, too.<\/p>\n Just take a look at this video from US Senator Bernie Sanders<\/a>, which, on the surface, may seem like scaremongering, but it contains very real concerns likely in the minds of regular people. Nearly 600,000 of them have watched it.<\/p>\n Social stigma increases<\/p>\n The end of humanity<\/p>\n Social stigma is also gradually being attached to AI, as tabloids grab stories about people falling in love with AI chatbots. These lurid accounts aren\u2019t positive.<\/p>\n Not only do they raise more questions about AI\u2019s usefulness and its place in society, but they also cancel the potentially helpful side of AI in the treatment of mental health issues and loneliness.<\/p>\n Those using it are turned into a laughingstock.<\/p>\n Beyond all this real-world AI press, the AI 2027 scenario<\/a>, written by a group of AI researchers in which AI takes over the world and wipes out the human race, gained a huge amount of attention.<\/p>\n There is, as you\u2019d expect, absolutely nothing positive in the outcome.<\/p>\n Doom-laden predictions like this always capture the public\u2019s attention and further paint AI as an unfavorable development no one wants.<\/p>\n What was once something only visible to tech enthusiasts, new and highly engaged smartphone buyers, and software engineers is now very mainstream.<\/p>\n Unfortunately, it\u2019s confusing, concerning, and unsettling coverage, and it\u2019s inevitably going to shape an ever more negative opinion and ultimately put people off AI.<\/p>\n What does it mean for mobile?<\/p>\n It\u2019s people\u2019s first exposure to consumer AI<\/p>\n Let\u2019s bring this back to mobile and what it means for 2026.<\/p>\n Samsung\u2019s Galaxy AI suite of barely useful tools suddenly looks a bit pathetic next to the huge implications being discussed elsewhere at the moment.<\/p>\n However, it, along with other brands\u2019 efforts, is also likely to be regular people\u2019s first exposure to consumer-level AI.<\/p>\n That\u2019s the same people watching, listening, and getting concerned about the direction AI is taking, and who may think about buying a Galaxy S26<\/a>.<\/p>\n Galaxy AI has been Samsung\u2019s primary selling point for several generations now. If it\u2019s going to be the same for the S26 series, it needs to either become more interesting and useful or be sold in a very different way if it\u2019s going to hold any positive appeal.<\/p>\n It\u2019s not just Samsung either. The Moto AI tools I tried on the Edge 70 were just as forgettable, just like OnePlus\u2019s Plus Key and its Mindspace feature, which is almost identical to Nothing\u2019s Essential Space.<\/p>\n I struggle to find a use for either.<\/p>\n Apple has been fairly quiet about Apple Intelligence in 2025, and for good reason. It\u2019s rubbish.<\/p>\n Google\u2019s all-in on AI, to the point where the Pixel 10\u2019s specs were entirely overshadowed at launch<\/a>.<\/p>\n When mostly useless AI features were shoved in front of regular people who didn\u2019t have any opinion about AI at all, it didn\u2019t matter. They didn\u2019t use them and didn\u2019t care.<\/p>\n Now, those same features are being put in front of people whose opinion about AI is being rapidly and actively shaped into one that promotes caution, or worse, negativity.<\/p>\n Bad press and bad features are never a winning combination.<\/p>\n Time for change<\/p>\n AI can be useful<\/p>\n Smartphone makers don\u2019t need users to be wary of headline features.<\/p>\n What if people started to avoid devices with an outwardly heavy reliance on AI in advertising? What if they don\u2019t use the AI features included at all?<\/p>\n If the videos about the finances behind AI talked about above have taught us anything, it\u2019s that a lot of money has been spent on developing AI, so it has to be recouped somewhere.<\/p>\n Companies need to be smarter.<\/p>\n In 2026, they need to find those benefits that Upper Echelon\u2019s video said don\u2019t exist, and give us real world \u2014 not helpful to a handful of people, and not in examples set in some dream world created by marketing executives.<\/p>\n I mean, genuine real world \u2014 examples of how all of us can use them.<\/p>\n What\u2019s frustrating is that AI is often excellent.<\/p>\n I regularly use Google Gemini to help with creative tasks and general search when I can\u2019t find the right words for a normal web-based search.<\/p>\n AI chatbots can be a lot of fun, provided you don\u2019t decide to marry one, and there are vibrant communities built around them.<\/p>\n It has its uses for coding, where even the most inexperienced would-be developer can create an app with little bother, and the much-maligned Rabbit R1 \u2014 used as an example in Upper Echelon\u2019s video as a terrible AI product \u2014 has improved over the last year<\/a>.<\/p>\n There are plenty of uses for AI, but they\u2019re being sidelined as manufacturers and marketers try to \u201csell the solution.\u201d<\/p>\n Back to basics<\/p>\n Good features sell phones<\/p>\n Nothing I mentioned is a \u201csexy\u201d example of AI working well. Still, they are practical and make me think positively about the benefits of AI, as something far more than silly hardware buttons on the side of a phone that are supposed to help me remember stuff.<\/p>\n These are gimmicks, and combined with a growing negative opinion around AI, they\u2019re going to very quickly cancel out what can be good about it.<\/p>\n Mobile AI isn\u2019t a lost cause, but mobile companies need to react to what\u2019s shaping public opinion around the technology today, and be smarter about the features that use it, how AI is integrated into phones, and how it\u2019s marketed to buyers in the coming year.<\/p>\n AI fatigue will quickly set in, and when an audience is lost, it\u2019s very hard to get them back. Sensible, useful, interesting features will help avoid that.<\/p>\n
\n\t\t\t10 ways I use AI to simplify my daily life
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