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Surge AI Eyes Up to $1 Billion Capital Raise Amid Growth and Competition with Scale AI

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Surge AI, a fast-growing data-labeling company competing directly with Scale AI, is reportedly preparing to raise as much as $1 billion in its first-ever capital fundraising, according to sources cited by Reuters. Founded by former Google and Meta engineer Edwin Chen, Surge AI aims for a valuation exceeding $15 billion, although talks remain in the early stages and the final amount could be higher. The planned funding round would include both primary capital to fuel growth and secondary capital to provide liquidity for employees.

Surge AI has achieved profitability and has been bootstrapped since its 2020 founding. It generated over $1 billion in revenue last year, surpassing Scale AI’s $870 million revenue for the same period. By comparison, Scale AI was last valued at $14 billion in a funding round last year, and more recently at nearly $29 billion following Meta’s strategic investment, which included hiring Scale’s CEO Alexandr Wang to lead Meta’s Superintelligence Labs.

The surge in interest for Surge AI coincides with a shift among some major AI customers, such as Google and OpenAI, who are reportedly moving away from Scale AI due to concerns about sharing sensitive research priorities with Meta, Scale’s largest investor. Despite this, Scale AI maintains its business remains strong and reassures clients about data protection.

Surge AI has grown quietly but rapidly, becoming a major player in the data labeling space, distinguished by its use of a network of highly skilled contractors rather than large pools of low-cost labor. Its premium services cater to leading AI labs including Google, OpenAI, and Anthropic.

As reinforcement learning from human feedback (RLHF) becomes critical for training advanced AI, the need for precise, nuanced data labeling has soared, benefiting companies like Surge AI. However, some investors remain cautious about the sector due to its traditionally low margins and reliance on human labor, which could face automation pressures as AI technologies advance.

Elon Musk’s xAI Projects Over $13 Billion Annual Earnings by 2029, Bloomberg Reports

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Artificial intelligence startup xAI, founded by Elon Musk, expects to generate more than $13 billion in annual earnings by 2029, according to data shared by its banker Morgan Stanley, Bloomberg News reported on Thursday.

Morgan Stanley is seeking investors for a $5 billion debt sale by xAI and has disclosed the AI company’s financials to potential investors willing to commit at least $50 million. The figures reveal that xAI aims to reach $1 billion in gross revenue by the end of 2025 and $14 billion by 2029.

In the first quarter of this year, xAI reported $52 million in gross revenue but faced a loss of $341 million before interest, taxes, depreciation, and amortization (EBITDA). Projections show a rapid improvement, with EBITDA expected to rise to $2.7 billion by 2027 and hit $13.1 billion in 2029.

Like many AI startups, xAI is investing heavily in infrastructure, planning $18 billion in future data center investments following $2.6 billion in capital expenditures so far.

This financial unveiling coincides with a highly public spat between Elon Musk and former U.S. President Donald Trump, involving threats over government contracts. The effect of this dispute on xAI’s debt sale remains unclear.

In addition to the debt raise, xAI is reportedly targeting a valuation of $113 billion in a concurrent $300 million share sale.

Neither Morgan Stanley nor xAI has responded to Reuters requests for comment.

OpenAI Expects Cash Flow to Turn Positive by 2029, Bloomberg Reports

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OpenAI is not expecting to achieve cash-flow positivity until 2029, according to a report by Bloomberg News on Wednesday. The San Francisco-based AI leader, despite its strong revenue projections, is grappling with significant operational costs, including expenses for chips, data centers, and talent, necessary for developing advanced AI systems.

Revenue Projections and Growth Plans

Despite the cash flow challenges, OpenAI forecasts significant revenue growth in the coming years. By 2029, the company expects its revenue to exceed $125 billion. The AI firm also predicts a sharp rise in its revenue to $12.7 billion by 2025, more than tripling its current figures. This growth is driven largely by the success of its paid AI software, particularly through the subscription services it offers to consumers and businesses.

In September 2024, OpenAI had already indicated a forecasted revenue of $11.6 billion for 2025, with the company expected to earn $3.7 billion in 2024. These figures align with Bloomberg’s latest reporting.

Expansion of Paid Services

Since the launch of its ChatGPT chatbot over two years ago, OpenAI has rapidly expanded its suite of subscription offerings for both individual and business users. By February of this year, the number of paying business users exceeded 2 million, more than doubling the number of paid users from the previous September.

Financial Challenges Ahead

While OpenAI is positioning itself for rapid growth, it faces an uphill battle in terms of balancing significant upfront investments in technology and infrastructure. The company’s long-term strategy depends on continuing to expand its subscriber base and leveraging its AI innovations to maintain competitive momentum.