{"id":11979,"date":"2026-05-05T16:37:28","date_gmt":"2026-05-05T14:37:28","guid":{"rendered":"https:\/\/escp.eu\/thechoice\/?p=11979"},"modified":"2026-05-05T16:37:30","modified_gmt":"2026-05-05T14:37:30","slug":"openai-gets-set-to-go-public-can-we-entrust-the-financial-markets-with-chatgpt-and-ai","status":"publish","type":"post","link":"https:\/\/escp.eu\/thechoice\/tl-dr\/openai-gets-set-to-go-public-can-we-entrust-the-financial-markets-with-chatgpt-and-ai\/","title":{"rendered":"OpenAI gets set to go public: can we entrust the financial markets with ChatGPT and AI?"},"content":{"rendered":"\n

OpenAI, the creator of ChatGPT, is gearing up to launch its\u00a0Initial Public Offerings<\/a>\u00a0(IPO) this year. This financial manoeuvre would represent a pivotal shift for a project originally designed for the \u201ccommon good\u201d towards a market-driven logic. Established in 2015, OpenAI started out amidst growing anxiety regarding artificial intelligence (AI). Founded by Sam Altman and Elon Musk, the tech company adopted a non-profit structure and made no secret of its goal to develop AI that is \u201cbeneficial to humanity\u201d and prevent it from remaining in the hands of a few dominant players.<\/p>\n\n\n\n

This ambition distinguished it from tech giants like Google, Microsoft, Meta, and Amazon, which were built on proprietary models and\u00a0rent-seeking effects<\/a>.<\/p>\n\n\n\n

In contrast, OpenAI intended to champion general public interest by emphasising open research and sharing knowledge. However, this orientation \u2013 symbolised by its name \u2013 quickly collided with a structural constraint: the astronomical cost of\u00a0generative AI<\/a>.<\/p>\n\n\n\n

Massive costs<\/h2>\n\n\n\n

Unlike traditional software, where marginal costs tend towards zero (for example, the millionth copy of Windows costs Microsoft nothing), generative AI requires massive infrastructure.<\/p>\n\n\n\n

Every interaction mobilises computing resources, energy, and specialised equipment.\u00a0A standard ChatGPT query, consisting of one question and one answer, costs between $0.01 and $0.10<\/a>. Similarly, generating a high-definition image can cost between $0.10 and $0.20. While these amounts seem negligible in isolation, they become staggering when scaled to the billions of daily queries seen in 2026.<\/p>\n\n\n\n

This is explained by the underlying infrastructure, particularly the Graphics Processing Units (GPUs) supplied by players like\u00a0Nvidia<\/a>. These chips can cost tens of thousands of dollars to purchase and several dollars per hour via\u00a0cloud access<\/a>.<\/p>\n\n\n\n

OpenAI, like its competitors, depends on tens of thousands of these GPUs running continuously in massive data centers.\u00a0According to some estimates<\/a>, the necessary investments will reach hundreds of billions by the end of this decade.<\/p>\n\n\n\n

As early as the late 2010s, it became clear that a purely non-profit model could not meet such capital intensity. This is why\u00a0OpenAI adopted a hybrid status<\/a>\u00a0in 2019, allowing it to raise funds while maintaining control through a foundation. It was a first foray into the market economy, albeit one tempered by the ambition to resist investor demands.<\/p>\n\n\n\n

Brutal acceleration with ChatGPT<\/h2>\n\n\n\n

However, at the end of 2022, the chatbot ChatGPT radically changed the game, attracting 100 million users in just two months, before surpassing\u00a0900 million weekly users<\/a>\u00a0by early 2026.<\/p>\n\n\n\n

OpenAI\u2019s revenue surged from approximately $200 million (\u20ac173.15 million) in 2022 to over $10 billion (\u20ac8.65 billion) in 2025 \u2013 a sixty-fold increase in three years.<\/p>\n\n\n\n

This exponential growth was accompanied by the implementation of\u00a0a business model with multiple revenue streams<\/a>. For individuals, OpenAI offers paid subscriptions (ranging from $20 to $200 per month). However, the bulk of the revenue comes from enterprises, via subscriptions priced between $25 and $60 per user per month. A company with 10,000 employees thus represents several million dollars in annual revenue.<\/p>\n\n\n\n

Corporate money<\/h2>\n\n\n\n

OpenAI additionally bills for the use of its models by companies that integrate them directly into their own solutions. Every use is metered, often on a massive scale. An application processing a million queries a day can generate tens of thousands of dollars in monthly billing.<\/p>\n\n\n\n

Finally, a growing portion of revenue comes from strategic agreements, notably with Microsoft, which integrates OpenAI technologies into its products under the Copilot brand.<\/p>\n\n\n\n

It is the sum of these flows \u2013 subscriptions, licences, third-party usage, and partnerships \u2013 that allowed OpenAI to reach approximately $1 billion in monthly revenue in 2025. Yet, this commercial rise masks an intrinsic economic fragility.<\/p>\n\n\n\n

A gigantic cash-burning machine<\/h2>\n\n\n\n

Despite sharply rising revenues, OpenAI remains\u00a0structurally loss-making<\/a>. In the first half of 2025, the company reportedly generated approximately $4.3 billion in revenue while recording losses between $7 billion and $13 billion \u2013 more than $2 billion in losses every month. In total, cumulative losses could\u00a0exceed $140 billion (\u20ac121.19 billion)<\/a>\u00a0between 2024 and 2029.<\/p>\n\n\n\n

This drift is explained by the very nature of OpenAI\u2019s business model, where every interaction incurs a cost alongside gargantuan necessary investments. Beyond infrastructure, Research and Development (R&D) is a major expense. To stay in the technological race against an increasingly competitive environment, OpenAI reportedly invested nearly $16 billion in R&D in 2025 alone.<\/p>\n\n\n\n

To this is added\u00a0the cost of human resources, which is sometimes extraordinary<\/a>. While base salaries for the most in-demand AI experts range from $250,000 – $700,000 per year, their total compensation \u2013 including stock and bonuses \u2013 frequently exceeds $1\u00a0million. In some cases, annual compensation even exceeds $10\u00a0million. Here again, bidding wars from competitors like Meta force OpenAI to match these offers for fear of seeing its key talent vanish.<\/p>\n\n\n\n

Nearing bankruptcy?<\/h2>\n\n\n\n

In short, OpenAI\u2019s business is not enough to cover its costs, to the point that\u00a0some analysts<\/a>\u00a0suggest that at this rate, it could be forced to file for bankruptcy as early as 2027. Recourse to external financing is therefore indispensable to cover these losses.<\/p>\n\n\n\n

To sustain its growth, OpenAI has already raised approximately $58 billion since its inception, including more than $13 billion from Microsoft. In 2025, an\u00a0exceptional funding round reportedly raised up to $40 billion<\/a>\u00a0more, pushing its valuation to several hundred billion dollars.<\/p>\n\n\n\n

At the end of March 2026, a new $122 billion funding round \u2013 notably involving Amazon ($50 billion), Nvidia, and SoftBank ($30 billion each) \u2013 brought the valuation to $852 billion (\u20ac737.6 billion). Yet, these amounts remain insufficient given the requirements.<\/p>\n\n\n\n

Industrial dependency<\/h2>\n\n\n\n

Dependency on industrial partners appears particularly problematic. Microsoft provides OpenAI with its cloud infrastructure via Azure, while Nvidia plays a key role upstream by providing GPUs. Much like the\u00a0Gold Rush<\/a>\u00a0era, when shovel sellers grew rich at the expense of prospectors, it is the infrastructure providers in the AI sector making a fortune, not the model designers.<\/p>\n\n\n\n

In practice, every AI query generates revenue for infrastructure providers, amounting to a form of \u201cinvisible tax\u201d captured upstream.<\/p>\n\n\n\n

In 2025, Nvidia generated nearly\u00a0$73 billion in net profit on approximately $130 billion in revenue<\/a>, and its stock market valuation is 1.5 times higher than the entire\u00a0Paris stock exchange<\/a>!<\/p>\n\n\n\n

Governance missteps<\/h2>\n\n\n\n

OpenAI\u2019s economic tensions have spilled over into its corporate governance. The hybridisation of a public interest mission with private financing mechanisms resulted in\u00a0a complex structure<\/a>. A non-profit foundation controls a for-profit\u00a0\u201cpublic benefit corporation\u201d<\/a>, which is funded by investors and tasked with raising capital and developing activities \u2013 all while theoretically remaining subordinate to the foundation\u2019s public interest mission. This construction, designed to avoid purely financial logic, quickly fuelled tensions between different stakeholders.<\/p>\n\n\n\n

Elon Musk\u2019s departure in 2018<\/a>\u00a0was the first signal of a strategic disagreement. In 2020,\u00a0several researchers left OpenAI to found Anthropic<\/a>, citing differences over safety and governance. However, it was primarily the\u00a0crisis of November 2023<\/a>\u00a0that fully revealed the system\u2019s fragilities, when the board of directors suddenly announced the firing of Sam Altman, citing a lack of transparency in his communications.<\/p>\n\n\n\n

Within hours, the situation spiralled into an open crisis. Nearly all employees threatened to leave the company if Altman was not reinstated. Microsoft, the main partner and investor, publicly supported Altman and even discussed the possibility of hiring him and his teams. Faced with this pressure, the board was forced to reverse its decision within days. Sam Altman was reinstated, and the board\u2019s composition was profoundly overhauled. This episode\u00a0highlighted internal tensions<\/a>, specifically the difficulty of making divergent logics coexist within the same company: ethical posturing, industrial imperatives, and investor demands.<\/p>\n\n\n\n

Intensifying competition<\/h2>\n\n\n\n

In addition to these internal constraints, competitive intensity is particularly fierce.<\/p>\n\n\n\n

Google, the inventor of generative AI, is making rapid progress with Gemini. Anthropic, with Claude, has established itself in certain segments, particularly programming, while emphasising safety.<\/p>\n\n\n\n

China\u2019s DeepSeek has claimed to use less expensive processors. France\u2019s Mistral AI advocates for a frugal approach and European digital sovereignty. In a sign of this shifting landscape, Apple which initially partnered with OpenAI to include ChatGPT for certain Siri features \u2013 has chosen to replace it with Gemini.<\/p>\n\n\n\n

In this context of ecosystem reorganisation, OpenAI\u2019s position, while still central, is being challenged. Intensifying competition reinforces the need for ever-greater financial resources.<\/p>\n\n\n\n

The stock market: lifeline or mirage?<\/h2>\n\n\n\n

OpenAI\u2019s Initial Public Offering (IPO) is presented as a response to these constraints: a way to fund massive investments and consolidate a weakened competitive position. An IPO could raise\u00a0between $50 billion and $100 billion<\/a>\u00a0by selling 10% to 20% of the capital. Such an operation would constitute one of the largest in the history of financial markets.<\/p>\n\n\n\n

However, this transformation involves delicate trade-offs. A listed company is subject to profitability and transparency requirements that may clash with the experimental nature of artificial intelligence. Added to this is the persistent dependence on Microsoft and Nvidia, which limits the company\u2019s strategic autonomy.<\/p>\n\n\n\n

Most importantly, there is no indication that an IPO would suffice to resolve OpenAI\u2019s structural problems. At best, without a significant shift in the business model, it would only delay its bankruptcy by a few years. The economic model of generative AI remains fundamentally unstable today.<\/p>\n\n\n\n

A question beyond OpenAI<\/h2>\n\n\n\n

Beyond the case of OpenAI, one can legitimately question the current functioning of\u00a0an economy dominated by tech giants<\/a>.<\/p>\n\n\n\n

Artificial intelligence is establishing itself as an essential infrastructure whose effects far exceed the economic sphere.\u00a0For some analysts, control over AI now carries the same geostrategic importance<\/a>\u00a0as the possession of nuclear weapons.<\/p>\n\n\n\n

Consequently, a civilisational question arises: can we entrust the development and direction of such a technology solely to financial markets? Can we imagine Elon Musk or Mark Zuckerberg personally owning the equivalent of one or more atomic bombs? OpenAI\u2019s IPO will not provide the answer alone. However, it will constitute one of the first large-scale tests.<\/p>\n\n\n\n

This article is republished from\u00a0The Conversation<\/a>\u00a0under a Creative Commons license. Read the\u00a0original article<\/a>.<\/em><\/p>\n","protected":false},"excerpt":{"rendered":"

OpenAI, the creator of ChatGPT, is gearing up to launch its\u00a0Initial Public Offerings\u00a0(IPO) this year. This financial manoeuvre would represent a pivotal shift for a project originally designed for the \u201ccommon good\u201d towards a market-driven logic. Established in 2015, OpenAI started out amidst growing anxiety regarding artificial intelligence (AI). Founded by Sam Altman and Elon…<\/p>\n","protected":false},"author":1,"featured_media":11978,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"footnotes":""},"categories":[15],"tags":[126,16],"class_list":["post-11979","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-tl-dr","tag-artificial-intelligence","tag-strategy","category-15","description-off"],"acf":[],"yoast_head":"\nCan we entrust the financial markets with ChatGPT and AI? - The Choice by ESCP<\/title>\n<meta name=\"description\" content=\"OpenAI\u2019s planned IPO raises urgent questions about whether financial markets can responsibly shape the future of artificial intelligence.\" \/>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" 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