{"id":8206,"date":"2026-01-20T12:00:00","date_gmt":"2026-01-20T12:00:00","guid":{"rendered":"https:\/\/musictechohio.online\/site\/experts-concerned-ai-progress-wall\/"},"modified":"2026-01-20T12:00:00","modified_gmt":"2026-01-20T12:00:00","slug":"experts-concerned-ai-progress-wall","status":"publish","type":"post","link":"https:\/\/musictechohio.online\/site\/experts-concerned-ai-progress-wall\/","title":{"rendered":"Experts Concerned That AI Progress Could Be Speeding Toward a Sudden Wall"},"content":{"rendered":"
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Is the AI industry racing towards a point where the tech\u2019s progress stalls out or slows to a crawl? Many experts, including one of the field\u2019s foundational figures, seem to think it\u2019s possible.<\/p>\n

\u201cThere is a clear possibility that we will hit a wall, that there\u2019s some difficulty that we don\u2019t foresee right now, and we don\u2019t find any solution quickly,\u201d Yoshua Bengio, one of the \u201cgodfathers\u201d of AI, told The Guardian<\/em><\/a>.<\/p>\n

\u201cAnd that could be a real [financial] crash,\u201d he added. \u201cA lot of the people who are putting trillions right now into AI are also expecting the advances to continue fairly regularly at the current pace.\u201d<\/p>\n

Part of the problem is that the AI industry has hyped itself into an impossibly high-stakes situation. AI finding some niche uses in some industries is not the premise that has raked in trillions of dollars in investment; instead, the end game is creating a so-called artificial general intelligence, or AGI, a hypothetical AI system that matches or surpasses human cognition. David Cahn at the powerful Silicon Valley investment firm Sequoia Capital said as much in an October blog post<\/a> quoted by The Guardian<\/em>: \u201cNothing short of AGI will be enough to justify the investments now being proposed for the coming decade.\u201d<\/p>\n

Betraying the vagueness of the AGI mission, the more specific points of what constitutes AGI is hotly debated, and some tech leaders, including OpenAI CEO Sam Altman, have begun distancing themselves from the terminology<\/a>. Mark Zuckerberg\u2019s Meta, for example, favors calling it \u2014 whatever \u201cit\u201d is \u2014 an AI \u201csuperintelligence\u201d instead.<\/p>\n

Concerns over an AI \u201cwall\u201d or \u201cwinter\u201d popping an AI \u201cbubble\u201d have been raised since the boom kicked off three years ago, and were rekindled last summer with the disappointing launch of OpenAI\u2019s GPT-5 model, which saw only marginal benchmark gains over its predecessor, and which many fans felt was subjectively worse to talk to.<\/p>\n

In November, some faith in the industry was restored, however, with the launch of Google\u2019s Gemini 3 models<\/a>, as well as Google\u2019s new video generating models capable of producing stunningly lifelike footage. For the time being at least, doubts over the industry\u2019s future were offloaded onto doubting OpenAI\u2019s ability to lead it instead, with Google taking up the banner.\u00a0<\/p>\n

Regardless of who\u2019s at the helm, the stakes are enormously high, as the rapid buildout of AI data centers is projected by Morgan Stanley<\/a> to soar to $2.9 trillion by 2028, with Meta alone saying<\/a> it will spend $600 billion on US infrastructure.<\/p>\n

Much attention has begun to be paid to the \u201ccircular\u201d nature of the deals being struck among major AI players<\/a>, such as AI chipmaker Nvidia pledging to invest up to $100 billion in OpenAI<\/a>, while OpenAI agrees to buy billions of dollars worth of Nvidia\u2019s AI chips. The fear is that these deals are helping prop up a multi-trillion-dollar house of cards that could catastrophically collapse if investors get spooked by an AI wall.\u00a0<\/p>\n

In some cases, the calls are coming from inside the house. Meta\u2019s recently ousted chief AI scientist<\/a> and fellow \u201cgodfather\u201d of AI Yann LeCun is a vocal skeptic of the large language model architecture used to power the industry\u2019s leading chatbots, believing an entirely new form of AI \u201cworld\u201d model, which is trained on physical data instead of just language, is the pathway to building truly advanced AIs.<\/p>\n

But Bengio, the other AI godfather, ultimately remains optimistic about the industry\u2019s future.<\/p>\n

\u201cAdvances stalling is a minority scenario, like it\u2019s an unlikely scenario. The more likely scenario is we continue to move forward,\u201d he told The Guardian<\/em>.<\/p>\n

On the economic side, technology analyst Benedict Evans argues, with similar optimism, that the AI spending isn\u2019t as outrageous as it sounds when compared to other industries like oil and gas, which spend some $600 billion every year.<\/p>\n

\u201cThese AI capex figures are a lot of money but it\u2019s not an impossible amount of money,\u201d Evans told The Guardian<\/em>. \u201cYou don\u2019t have to believe in AGI to believe that generative AI is a big thing. And most of what is happening here is not, \u2018oh wow they\u2019re going to create God\u2019. It\u2019s \u2018this is going to completely change how advertising, search, software and social networks \u2014 and everything else our business is based on \u2014 is going to work,’\u201d Evans said. \u201cIt\u2019s going to be a huge opportunity.\u201d<\/p>\n

On the other hand, oil and gas companies can justify that spending because their goods and services underpin modern society as we know it. Can AI chatbots come even close to doing the same?<\/p>\n

More on AI:<\/strong> AI Completely Failing to Boost Productivity, Says Top Analyst<\/em><\/a><\/p>\n

The post Experts Concerned That AI Progress Could Be Speeding Toward a Sudden Wall<\/a> appeared first on Futurism<\/a>.<\/p>\n<\/div>\n

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Is the AI industry racing towards a point where the tech\u2019s progress stalls out or slows to a crawl? Many experts, including one of the field\u2019s foundational figures, seem to…<\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[177],"tags":[],"class_list":["post-8206","post","type-post","status-publish","format-standard","hentry","category-artificial-intelligence"],"_links":{"self":[{"href":"https:\/\/musictechohio.online\/site\/wp-json\/wp\/v2\/posts\/8206","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/musictechohio.online\/site\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/musictechohio.online\/site\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/musictechohio.online\/site\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/musictechohio.online\/site\/wp-json\/wp\/v2\/comments?post=8206"}],"version-history":[{"count":0,"href":"https:\/\/musictechohio.online\/site\/wp-json\/wp\/v2\/posts\/8206\/revisions"}],"wp:attachment":[{"href":"https:\/\/musictechohio.online\/site\/wp-json\/wp\/v2\/media?parent=8206"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/musictechohio.online\/site\/wp-json\/wp\/v2\/categories?post=8206"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/musictechohio.online\/site\/wp-json\/wp\/v2\/tags?post=8206"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}