OpenAI said Elon Musk once wanted the organisation either to merge with Tesla or give him full control. The company published emails from 2015 to 2018 in response to Musk’s lawsuit alleging that OpenAI abandoned a nonprofit commitment. The correspondence offered OpenAI’s account of discussions that took place while the organisation searched for enough capital to compete with Google DeepMind.
According to OpenAI, Musk sought majority equity, control of the board and the CEO position during 2017 talks about a for-profit structure. The company said it rejected that concentration of authority because control by one person would conflict with its mission. When those negotiations failed, Musk proposed attaching OpenAI to Tesla as a funding route.
Scale Forced an Early Debate About Structure
Frontier AI research requires expensive computing infrastructure and highly specialised staff. OpenAI’s original nonprofit model faced the question of how to obtain resources on the scale needed to remain relevant. The published correspondence suggests that both Musk and the organisation recognised a funding problem, even though they disagreed over the structure that should solve it.
Musk reportedly argued that Tesla was the only path capable of competing with Google. In a final email cited by OpenAI, he assessed the probability of the organisation remaining relevant without a dramatic change in execution and resources at zero. That argument linked mission to scale: without sufficient capital, an idealistic structure might be unable to develop technology influential enough to fulfil its purpose.
Control Was the Point at Which Negotiations Broke Down
A merger with Tesla would have placed OpenAI within a company led by Musk, while the alternative proposal gave him majority ownership, board control and the CEO role. Either route would have concentrated decision-making around one leader. OpenAI said that outcome was inconsistent with the organisation’s mission and did not agree to it.
The disagreement illustrates why governance cannot be separated from financing. Capital often arrives with rights over strategy, leadership and returns. A mission-driven technology organisation must decide which rights it can grant without losing the independence it is trying to preserve. The parties may share a goal of building capable AI while holding incompatible views about who should have final authority.
The Emails Became Evidence in a Later Legal Fight
Musk’s March 2024 lawsuit accused OpenAI of contract breach, fiduciary violations and unfair competition. It described the organisation as a closed-source de facto subsidiary of Microsoft after receiving $13 billion from the technology company. OpenAI used the earlier communications to argue that Musk understood commercial restructuring and did not believe openness required publishing every model.
The company also expressed regret that its relationship with a former collaborator had moved into litigation. It said it intended to seek dismissal of all claims. Musk wanted the court to compel greater public access to OpenAI research and prevent arrangements that exclusively benefit individual companies. The legal dispute therefore turns early governance discussions into evidence about the meaning of OpenAI’s founding purpose.
The Failed Tesla Path Changed the Competitive Landscape
Musk left OpenAI after the proposals did not succeed, saying that a relevant competitor to Google DeepMind was needed and that he would pursue one himself. He later founded xAI, creating a new model company that competes in the same market. OpenAI followed its own path, forming a commercial structure and building a deep partnership with Microsoft.
These diverging routes show how one unresolved governance debate can reshape an industry. Tesla did not become OpenAI’s financial home, Microsoft became its major partner, and Musk eventually built a separate AI organisation. Each path combined capital, compute and corporate control differently. The competitive positions visible years later grew partly from those choices.
OpenAI’s publication presents one side of the history and was released during active litigation. Emails can establish what participants wrote, but the court must determine their legal meaning and how they relate to any broader agreement. Readers should distinguish the company’s allegations from findings established through a judicial process.
The episode remains instructive even without taking a side. Founders need written clarity about mission, ownership and decision rights before large sums and powerful technology transform an organisation. Ambiguity may appear manageable during an early research phase, but it becomes costly once the company attracts partners, revenue and political attention.
OpenAI rejected one-person control while later accepting a complex relationship with Microsoft. Whether that evolution honoured or departed from its original purpose is at the heart of Musk’s criticism. The emails reveal that the tension between independence and resources existed long before current products. The organisation’s history is therefore not a simple shift from nonprofit purity to commerce, but a continuing struggle over how ambitious AI research should be financed and governed.
The Tesla proposal also demonstrates how corporate attachment can change an AI laboratory’s priorities. Access to capital and engineering could accelerate research, but the laboratory would sit beside an automaker with its own products, shareholders and strategic needs. Even aligned founders may disagree about whether that connection strengthens or compromises independence.
Microsoft ultimately provided a different version of the same resource problem: enormous funding and cloud capacity without a formal merger into an operating company. Critics still question the influence created by that dependence. OpenAI’s history suggests there is no structure that delivers frontier-scale resources without governance trade-offs.
Those trade-offs should be made explicit. An organisation can cap investor returns, reserve board authority or define mission tests for commercial agreements, but each safeguard must work under pressure. Vague commitments are easiest to maintain when little is at stake and hardest to enforce once the technology becomes valuable.
The published emails are consequential because they show the resource debate at an early stage. They do not settle every allegation, but they undermine any account in which commercial scale appeared suddenly. Funding, control and competition were intertwined from the beginning, and the choices made then continue to shape today’s legal and strategic conflict.
