Why Everyone Hates Tech Now

Source: Why Everyone Hates Tech Now, JimmyTheGiant, 40:41, uploaded 2026-08-08.

JimmyTheGiant opens with the release of the iPhone. Steve Jobs walks onto the stage in a black turtleneck, holds up a small device, and receives the sort of applause usually reserved for a religious revelation. The source remembers the feeling around that moment as a belief that technology had finally solved something. The release of AI carries a different mood. Sam Altman speaks about its promise and its danger in the same breath, and the audience already expects technology to take something from them.

The Luddite question

The video finds an earlier version of this conflict in the textile mills of eighteenth- and nineteenth-century England. Before mechanisation, a local artisan and their family might produce textiles from a cottage. Merchants supplied materials and sold the finished goods. The arrangement changed when merchants began to build machines that could replace the artisans. One machine attached to a spinning wheel could do the work of 50 people, and skilled workers lost control of the work that had supported their families.

In 1811, artisans organised under the name of the Luddites. They first went to Parliament with requests for a minimum wage and rules for the machines. When the politicians refused, the Luddites began destroying factory equipment. The state sent troops to protect the machinery, arrested the organisers, and hanged 17 of them. By 1813, the movement had been defeated.

The source treats the Luddite position as a question of ownership. Machines can increase what people can do. Tractors can destroy agricultural jobs while increasing the amount of food that farms produce, and medical technologies can treat diseases that once killed people. The conflict begins when private owners take workers’ knowledge and livelihoods, then keep the gains from the machines for themselves. The workers’ problem is the economic arrangement around the technology.

Public research and private enclosure

The video places the later rise of techno-optimism against the experience of the Second World War. Governments funded large research programmes, brought engineers into universities and laboratories, and coordinated work that a private company would have struggled to finance alone. The period produced radar, computers, medicine, electronics, satellite technology, and eventually the space programme. Many of the technologies that shaped the early internet grew through public investment and open-source culture.

The personal computer and the early internet then gave ordinary people new ways to write, make music, produce art, play games, store photographs, and find information. The source remembers moving from one PlayStation generation to the next, building a RuneScape clan website on Freewebs, and using Wikipedia as a free encyclopedia made from the work of strangers. Early online culture often came from people making things because they enjoyed them. Money arrived later, if it arrived at all.

That experience created the optimism that surrounded technology in the 1990s and 2000s. Each year seemed to bring more capacity and more access. The iPhone gathered many of those public and commercial developments into one polished device. It combined music, photography, a touchscreen, and networked information in something that could fit into a pocket. For the source, this is the high point of the techno-optimist mood.

The iPhone also made a new structure easier to see. Apple’s ecosystem is a walled garden. It removes much of the technical mess of earlier computing, while the company decides what enters the garden and what users can do outside it. During the 2010s, Google came to dominate search, Facebook dominated social media, Apple controlled its app store, and Amazon controlled online shopping and much of the infrastructure used to build the internet. Private platforms enclosed technologies that had grown through public investment. Their products remained useful enough to make the enclosure feel like a fair exchange.

The cost becomes visible

The video gives The Social Dilemma, released in 2020, a large role in the change of mood. The documentary brought the business model of social media to a mass audience. It connected political manipulation, the 2016 election, Cambridge Analytica, the persecution of the Rohingya, social-media addiction, conspiracy theories, and radicalisation through the operation of recommendation algorithms.

The source describes the result as a system that measures loneliness, depression, fear, anger, and attention so it can keep people on a platform and show them more advertising. The public image of a company that connects people sits beside a business that studies which stimuli keep people engaged. COVID-19 and rising political conflict made the damage harder to ignore. The video also cites a Tech Transparency Project finding that extremist content calling for violence remained easy to find on Facebook after the company said it was taking action. It gives no direct link or method for checking that finding.

Technology also became harder to experience as an improvement in daily life. Phones made maps, banking, and delivery easier, while food, rent, and energy became more expensive. Digital tools made work flexible and made it possible to monitor workers more closely. Retail workers described cameras around their workplaces, and self-checkout systems replaced some jobs. Email and WhatsApp sped up communication and extended the working day into every room where a phone could vibrate. The result is a life with more convenience and more pressure at the same time.

The source describes a fatigue that follows from this relation. New devices promise a new world, then arrive as small improvements to the same phone. The metaverse and virtual-reality headsets have not produced the cultural transformation that their advocates promised. Technology has become good enough for many ordinary tasks while continuing to take attention, energy, and time.

AI arrives in a hostile climate

AI appears inside this older disappointment. The source compares Sam Altman’s presentation on the Joe Rogan Experience with Steve Jobs’s iPhone launch. Altman says that AI will be good and harmful, that it will create abundance and scientific discoveries, and that it will also disrupt jobs and ways of life. The worried tone fits the moment. People have already learned that technological progress can bring new forms of control.

The source also reads Altman’s caution as good marketing. The company does not need everyone to like AI. Curiosity and fear of falling behind are enough to make people use it, while investors hear a different message in the same promises. They hear that a company may replace workers with machines.

The first wave of public excitement fades when artists, writers, and programmers understand that AI can perform the parts of their work they value. People had expected machines to handle repetitive tasks so that humans could spend more time on creative work. AI began with the creative work. This reversal makes the politics of the technology feel especially strange: machines produce images, writing, and code while humans remain in warehouses and under constant workplace monitoring.

The training data creates a second conflict. Generative AI companies use large bodies of human writing and creative work, often without the creators’ knowledge or permission. The video cites an argument that companies have even bought rare books, cut off their spines, scanned them, and destroyed the originals. It presents this as a new version of the Luddite question. A private company takes a shared record of human work and builds a machine that can reproduce it while reducing the power of the people who made the record.

The hostility has moved into local politics. The source reports conflicts over data centres that consume energy, strain water supplies, make noise, and change local landscapes. It says that seven out of ten people in the United States oppose data centres in their communities and that more than 100 moratoriums on new data centres existed across the country by June 2026. These figures come from the video and are not independently documented in its description. The source also shows protests against the military use of AI and clips of students booing speakers who celebrate AI at university graduations.

Nostalgia for owned technology

The rejection of AI arrives with a wider return to older technology. The source points to Y2K colours, so-called Frutiger Aero imagery, dumb phones, vinyl, CD players, CRT monitors, and games made in the style of older games. The appeal includes nostalgia, yet the deeper attraction concerns the relation people once had to their devices.

Older technology could be bought and owned. It did one job without an account, a subscription, or a permanent connection to a company. Physical media remained available after purchase. A modern game can cost 100 dollars and still depend on an internet connection, a server, and a company’s decision to keep the download alive. The question is whether the buyer owns the game in any durable sense.

The video calls this feeling “retropia”. It uses the term for a form of nostalgia directed at earlier periods of social democracy and public provision. The attraction lies in public housing, the National Health Service, publicly funded technologies, and institutions that pursued collective goals. This is a political nostalgia for a time when the gains from progress appeared easier to share.

The ownership question returns

The source’s conclusion is a political test for optimism. People ask different questions when a new technology appears. They want to know who owns it, what it will replace, what information it takes, and whether it will improve their lives. The rejection of AI grows from this change in judgment. It concerns the relationship built around technology and the assumption that the future will improve by itself.

The source reserves the word “techno-optimist” for people such as Marc Andreessen and other technology oligarchs who welcome mass job losses. Their optimism depends on concentrating the world’s resources in systems that may make their owners less dependent on workers and democratic institutions. The video quotes a banker speaking about “lower value human capital” to show the language behind that view.

The proposed alternative is collective control. People could use AI more freely if they could decide how it works, vote on its uses, and share in the gains. Social media could produce a different public life if users could change the recommendation systems that currently reward anger. The source leaves the mechanism open, yet it treats ownership as the condition that decides whether technology feels liberating or hostile.

The final image is a crowd celebrating the cancellation of a project. The point is modest and political. Skepticism can become fatigue, and fatigue can become acceptance. Organised people can turn the rejection of a technology into pressure for different ownership. The video ends by placing the possibility of future optimism there.

Limits

This note follows the complete English automatic-caption track, with repeated caption fragments and obvious recognition errors regularised. The source uses sketches, archival clips, interviews, and visual examples that captions cannot fully describe. Its historical account of the Luddites, the public funding of technology, the effects of The Social Dilemma, the local data-centre conflicts, and the military use of AI remains the video’s account. The description supplies no bibliography or links to the underlying studies, reports, or interviews.

Further reading / references

• The Social Dilemma, cited by the video as a major source of public skepticism toward social-media platforms.
• Sam Altman’s interview on The Joe Rogan Experience, cited as an example of AI’s cautious public presentation.