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Home » SoftBank and Sam Altman’s Challenge Nvidia’s Big AI Move

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SoftBank and Sam Altman’s Challenge Nvidia’s Big AI Move

Kenne Michael
Last updated: February 17, 2024 9:06 am
By Kenne Michael
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SoftBank and Sam Altman’s AI chip venture challenges Nvidia’s market dominance, sparking speculation about its next move.

Contents
SoftBank Pursuit For AI DominanceNvidia’s Earnings Outlook: What’s Next?
SoftBank and Sam Altman's Challenge Nvidia's Big AI Move

To challenge Nvidia’s position in the domain of generative AI, Masayoshi Son, founder and CEO of SoftBank, has disclosed strategies to secure an unprecedented $100 billion in funding for his AI enterprise.

This audacious action constitutes a direct challenge to Nvidia’s market dominance.

Meanwhile, Bloomberg reports that SoftBank plans to allocate $30 billion of its own capital towards investments, while also seeking an additional $70 billion from investment firms based in the Middle East.

SoftBank Pursuit For AI Dominance

To fortify SoftBank’s presence in the AI industry, the substantial funding has the potential to disrupt Nvidia’s market standing.

Bloomberg reported that the proposed AI venture is anticipated to significantly enhance the functioning of Arm, a UK chip designer, in which the majority stake is held by SoftBank.

Recent events, such as Nvidia’s SoftBank-backed $147.3 million investment in Arm, have brought the company to the forefront and illuminated the changing dynamics of the tech sector.

Additionally, significant milestones have occurred along SoftBank’s path with Arm, including the $32 billion acquisition in 2016.

The complexities of high-stakes transactions in the tech sector were, however, highlighted by the failure to sell Arm to Nvidia for $40 billion in 2022 due to regulatory obstacles.

In the meantime, Masayoshi Son’s tech industry-aligned endeavors to reshape the future of AI are comparable in scope.

Conversely, Sam Altman, the CEO and co-founder of OpenAI, is proactively seeking financial support for a revolutionary tech initiative that seeks to augment the worldwide capacity for chip building.

With an estimated cost ranging from $5 trillion to $7 trillion, this undertaking highlights the increasing need for state-of-the-art technologies to propel the progress of AI applications.

Additionally, Altman’s emphasis on expanding GPU capabilities is further indicative of the growing significance attributed to advanced chip design in AI research and development.

Nvidia’s Earnings Outlook: What’s Next?

As annual global chip sales surpassed $527 billion in 2018 and are anticipated to surmount $1 trillion by 2030, competition to exploit the capabilities of AI will intensify.

As industry leaders such as SoftBank and Nvidia compete for market share, the trajectory of AI innovation is uncertain.

Meanwhile, investors are awaiting Nvidia’s earnings with great anticipation to gain insights into the company’s financial well-being.

Additionally, the recent earnings would illuminate how the AI surge has contributed to the company’s expansion.

Notably, Nvidia’s Q4 FY24 earnings report is anticipated on Wednesday, February 21 following the market close.

As a result of the development and increasing demand in the field of artificial intelligence (AI), analysts anticipate a substantial increase in revenue and profits.

Estimates indicate that revenue could potentially triple to approximately $20.38 billion, while net income and earnings per share could soar to $10.4 billion and $4.18, respectively.

Notably, data center business expansion propelled Nvidia’s previous quarter’s exceptional performance to an all-time high of $14.51 billion.

Reports indicate that the data center segment will generate $16.86 billion in Q4 revenue, representing a growth rate of more than fourfold when compared to the previous year.

Furthermore, owing to Nvidia’s strong performance in AI and data center services, interested parties are anxiously anticipating the forthcoming earnings report, which is expected to validate the organization’s ongoing supremacy in the tech industry.

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