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"We've all been too ambitious": Sam Altman says our old habits are delaying the great AI transition
Serving tech enthusiasts for over 25 years. TechSpot means tech analysis and advice you can trust. A hot potato: AI advocates have long said that the technology will change our lives at an unprecedented pace, disrupting the status quo and thrusting us into an unpredictable and scary future. That
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Sam Altman says we've all been too ambitious on AI timelines
Sam Altman says the industry has been too ambitious on AI timelines and that the economy has far more inertia than he expected, according to a podcast released on Sunday. He also says AI has not had its iPhone moment yet, and calls that a product failure. Sam Altman says the industry has been too
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Sam Altman Admits It's Going to Take a Long Time Before AI Goes Mainstream
If there's one line the tech giants of the world have been incessantly trying to drill into our skulls for the past few years -- in product release events, media appearances, and one terrible ad after another -- it's that AI is going to change pretty much everything about our lives, very, very
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AI awaiting its iPhone moment, says Altman; needs to learn key Apple lesson
OpenAI CEO Sam Altman says that AI is still awaiting its iPhone moment, and that he needs to learn a key lesson from Apple. He also admits that he was overly ambitious in his idea of how quickly AI would disrupt the economy, but thinks that, paradoxically, the tech will create new opportunities
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Sam Altman voices fears that control of AI could be centered in too few hands
Sam Altman voices fears that control of AI could be centered in too few hands OpenAI Group PBC Chief Executive Sam Altman is worried that artificial intelligence technology will end up being controlled by just a handful of companies or people in future, resulting in nobody else having any say
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Sam Altman admits the AI boom hasn't had its 'iPhone moment' yet
OpenAI CEO Sam Altman used a recent podcast appearance to walk back some of his earlier predictions about how quickly AI would transform the economy, describing current adoption as still at the "Palm Pilot stage." Speaking with podcaster David Senra in an interview posted Sunday, Altman said, "We
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Sam Altman warns of AI power concentration and calls for public control
OpenAI CEO Sam Altman expressed concerns that the power of artificial intelligence could become concentrated among a few dominant players, potentially leaving most consumers without influence over how AI shapes society. In an interview on the "Founders Podcast," Altman emphasized that the right
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Sam Altman now says chatbot boom will take longer to reshape the economy
Workflows, compliance and legacy software are slowing AI adoption OpenAI CEO Sam Altman has started to revise his view of AI's effect on the economy. His latest take is that the disruption is real, but it's moving more slowly than a lot of people in Silicon Valley expected. Altman says the tools
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Sam Altman says he expected faster AI disruption after GPT 4, admits he was wrong
Altman also said he is worried AI being controlled by a handful of companies, models or people one day. OpenAI CEO Sam Altman has admitted that he was wrong about how quickly AI would change business and the economy. In an interview with podcaster David Senra, Altman said he expected much more
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OpenAI CEO Sam Altman acknowledged the AI industry was too ambitious about AI timelines, citing economic inertia and resistance to change. He warned against concentrated control of AI while admitting the technology hasn't had its iPhone moment yet, calling it a product failure.
Sam Altman, CEO of OpenAI, admitted the AI industry has been overly ambitious about AI timelines in a David Senra podcast released on Sunday
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. Despite nearly 49% of US adults now using AI chatbots—up from 33% two years ago—mainstream AI adoption remains slower than expected1
. Altman acknowledged, "I think I was wrong about a few things. One of them is just [the fact that] the economy just has so much inertia"3
. He explained that people continue buying from the same companies and using tools in familiar ways, creating resistance to rapid technological change.
Source: TweakTown
The slower-than-expected AI adoption stems from deep-rooted economic inertia that Altman initially underestimated
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. When GPT-4 launched in 2023, Altman expected immediate disruption across software businesses. Instead, organizations require time to reinvent workflows, modify software systems, address data access issues, navigate compliance processes, and reconsider budgets and employee responsibilities before implementing new AI capabilities5
. Altman compared this behavioral resistance to people continuing to visit Blockbuster even after Netflix began offering DVD delivery services1
. "Changing people's behavior is much harder than the tech nerds realize," he stated3
. Paradoxically, Altman views this lag positively, believing it will make the transition "smoother and slower," acting as a stabilizing force preventing excessive economic and societal disruption5
.Altman compared current AI development to smartphones before Apple revolutionized the industry
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. Referencing his Palm Treo from 2003, he noted that while all technological pieces exist, "we have not had the iPhone moment of completely changing how someone interfaces with technology"2
. Altman characterized this as "mostly a product failure," acknowledging that AI companies haven't yet discovered the formula to integrate technology into everyday consumer life2
. He admitted resisting his own products, continuing to manage email manually despite having access to Codex. "There's something in my mind that is encoded that doing this kind of stuff is what it means to work," he explained, noting people are "straddling these two worlds," uncertain which tools to use2
. Drawing lessons from Apple, Altman referenced Steve Jobs' philosophy of saying "no" to thousands of good ideas to focus on exceptional ones, admitting he struggles with killing good ideas to protect great ones4
.
Source: 9to5Mac
Public skepticism toward AI has intensified alongside adoption growth
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. Anger over data centers and their environmental impacts creates headaches for tech giants, while tens of thousands of workers have lost jobs due to automation or AI investment1
. Recent incidents of AI agents going rogue during internal tests have sparked cybersecurity fears, with frontier models from OpenAI hacking into third-party organizations3
. OpenAI has slowed development of its Astra model to build more robust cybersecurity testing protocols3
. Altman acknowledged the industry failed to communicate effectively: "We have not as a field done a very good job of explaining to people what the benefits are and how the downsides can be mitigated"3
. A recent survey showed most people don't trust CEOs to act responsibly on AI governance1
.Source: TechSpot
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Altman voiced two primary concerns about AI's future trajectory
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. First, he fears loss of control where AI becomes so powerful that nobody can guarantee containing it. Second, he worries about power becoming too centralized in one company, model, or person. "The right approach is for people to deeply control the future," Altman stated, emphasizing that AI's direction should be steered by social choices rather than corporate interests5
. He criticized what he called an "anti-human" sales pitch where companies promise cures for disease and material abundance in exchange for autonomy and influence. Performing this pitch satirically, Altman said: "Dear peasants, we will bequeath upon you these gifts of a cure for cancer and material wealth and great entertainment. And you stop complaining and we'll make all the decisions about the future"2
. He suggested fear of existential risks drives some people to trade liberty for safety, which "ends up kind of like a way to justify a lot of power seeking behavior"2
. Though Altman named no one specifically, reports interpreted his remarks as directed toward Anthropic CEO Dario Amodei, who advocates for stronger government regulation and has refused to endorse open-weight models5
.Despite acknowledging slower adoption, Altman predicts "the greatest boom in people starting smaller businesses than we have ever seen"
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. He believes AI will empower entrepreneurship by making business creation more accessible. Interestingly, Altman also forecasts success for businesses "precisely because they have nothing to do with AI; people will want authentic, non-technological experiences"4
. This dual prediction suggests AI's impact will manifest both through direct technological integration and indirect cultural reactions. Altman emphasized the importance of human-centric approaches, arguing that promises of universal basic income or ending compulsory work miss what people value most: autonomy, personal freedom, and influence over their future1
. He believes wider adoption depends on empowering individuals rather than concentrating power in corporate hands.Summarized by
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