Tag: Inc. (TSLA)

Nvidia’s GPUs a Game-Changer for Investors?

Posted on by The INO.com Team

NVIDIA Corporation (NVDA), a tech giant advancing AI through its cutting-edge graphics processing units (GPUs), became the third U.S. company to exceed a staggering market capitalization of $3 trillion in June, after Microsoft Corporation (MSFT) and Apple Inc. (AAPL). This significant milestone marks nearly a doubling of its value since the start of the year. Nvidia’s stock has surged more than 159% year-to-date and around 176% over the past year.

What drives the company’s exceptional growth, and how do Nvidia GPUs translate into significant financial benefits for cloud providers and investors? This piece will explore the financial implications of investing in NVIDIA GPUs, the impressive ROI metrics for cloud providers, and the company’s growth prospects in the AI GPU market.

Financial Benefits of NVDA’s GPUs for Cloud Providers

During the Bank of America Securities 2024 Global Technology Conference, Ian Buck, Vice President and General Manager of NVDA’s hyperscale and HPC business, highlighted the substantial financial benefits for cloud providers by investing in NVIDIA GPUs.

Buck illustrated that for every dollar spent on NVIDIA GPUs, cloud providers can generate five dollars over four years. This return on investment (ROI) becomes even more impressive for inferencing tasks, where the profitability rises to seven dollars per dollar invested over the same period, with this figure continuing to increase.

This compelling ROI is driven by the superior performance and efficiency of Nvidia’s GPUs, which enable cloud providers to offer enhanced services and handle more complex workloads, particularly in the realm of AI. As AI applications expand across various industries, the demand for high-performance inference solutions escalates, further boosting cloud providers’ financial benefits utilizing NVIDIA’s technology.

NVDA’s Progress in AI and GPU Innovations

NVIDIA’s commitment to addressing the surging demand for AI inference is evident in its continuous innovation and product development. The company introduced cutting-edge products like NVIDIA Inference Microservices (NIMs), designed to support popular AI models such as Llama, Mistral, and Gemma.

These optimized inference microservices for deploying AI models at scale facilitate seamless integration of AI capabilities into cloud infrastructures, enhancing efficiency and scalability for cloud providers.

In addition to NIMs, NVDA is also focusing on its new Blackwell GPU, engineered particularly for inference tasks and energy efficiency. The upcoming Blackwell model is expected to ship to customers later this year. While there may be initial shortages, Nvidia remains optimistic. Buck noted that each new technology phase brings supply and demand challenges, as they experienced with the Hopper GPU.

Furthermore, the early collaboration with cloud providers on the forthcoming Rubin GPU, slated for a 2026 release, underscores the company’s strategic foresight in aligning its innovations with industry requirements.

Nvidia’s GPUs Boost its Stock Value and Earnings

The financial returns of investing in Nvidia GPUs benefit cloud providers considerably and have significant implications for NVDA’s stock value and earnings. With a $4 trillion market cap within sight, the chip giant’s trajectory suggests continued growth and potential for substantial returns for investors.

NVDA’s first-quarter 2025 earnings topped analysts’ expectations and exceeded the high bar set by investors, as Data Center sales rose to a record high amid booming AI demand. For the quarter that ended April 28, 2024, the company posted a record revenue of $26 billion, up 262% year-over-year. That compared to the consensus revenue estimate of $24.56 billion.

The chip giant’s quarterly Data Center revenue was $22.60 billion, an increase of 427% from the prior year’s quarter. Its non-GAAP operating income rose 492% year-over-year to $18.06 billion. NVIDIA’s non-GAAP net income grew 462% from the prior year’s quarter to $15.24 billion. In addition, its non-GAAP EPS came in at $6.12, up 461% year-over-year.

“Our data center growth was fueled by strong and accelerating demand for generative AI training and inference on the Hopper platform. Beyond cloud service providers, generative AI has expanded to consumer internet companies, and enterprise, sovereign AI, automotive and healthcare customers, creating multiple multibillion-dollar vertical markets,” said Jensen Huang, CEO of NVDA.

“We are poised for our next wave of growth. The Blackwell platform is in full production and forms the foundation for trillion-parameter-scale generative AI. Spectrum-X opens a brand-new market for us to bring large-scale AI to Ethernet-only data centers. And NVIDIA NIM is our new software offering that delivers enterprise-grade, optimized generative AI to run on CUDA everywhere — from the cloud to on-prem data centers and RTX AI PCs — through our expansive network of ecosystem partners,” Huang added.

According to its outlook for the second quarter of fiscal 2025, Nvidia’s revenue is anticipated to be $28 billion, plus or minus 2%. The company expects its non-GAAP gross margins to be 75.5%. For the full year, gross margins are projected to be in the mid-70% range.

Analysts also appear highly bullish about the company’s upcoming earnings. NVDA’s revenue and EPS for the second quarter (ending July 2024) are expected to grow 110.5% and 135.5% year-over-year to $28.43 billion and $0.64, respectively. For the fiscal year ending January 2025, Street expects the chip company’s revenue and EPS to increase 97.3% and 111.1% year-over-year to $120.18 billion and $2.74, respectively.

Robust Future Growth in the AI Data Center Market

The exponential growth of AI use cases and applications across various sectors—ranging from healthcare and automobile to retail and manufacturing—highlights the critical role of GPUs in enabling these advancements. NVIDIA’s strategic investments in AI and GPU technology and its emphasis on collaboration with cloud providers position the company at the forefront of this burgeoning AI market.

As Nvidia’s high-end server GPUs are essential for training and deploying large AI models, tech giants like Microsoft and Meta Platforms, Inc. (META) have spent billions of dollars buying these chips. Meta CEO Mark Zuckerberg stated his company is “building an absolutely massive amount of infrastructure” that will include 350,000 H100 GPU graphics cards to be delivered by NVDA by the end of 2024.

NVIDIA’s GPUs are sought after by several other tech companies for superior performance, including Amazon, Microsoft Corporation (MSFT), Alphabet Inc. (GOOGL), and Tesla, Inc. (TSLA).

Notably, NVDA owns a 92% market share in data center GPUs. Led by Nvidia, U.S. tech companies dominate the burgeoning market for generative AI, with market shares of 70% to over 90% in chips and cloud services.

According to the Markets and Markets report, the data center GPU market is projected to value more than $63 billion by 2028, growing at an impressive CAGR of 34.6% during the forecast period (2024-2028). The rapidly rising adoption of data center GPUs across cloud providers should bode well for Nvidia.

Bottom Line

NVDA’s GPUs represent a game-changer for both cloud providers and investors, driven by superior performance and a compelling return on investment (ROI). The attractive financial benefits of investing in NVIDIA GPUs underscore their value, with cloud providers generating substantial profits from enhanced AI capabilities. This high ROI, particularly in AI inferencing tasks, positions Nvidia as a pivotal player in the burgeoning AI data center market, reinforcing its dominant market share and driving continued growth.

Moreover, Wall Street analysts remain bullish about this AI chipmaker’s prospects. TD Cowen analyst Matthew Ramsay increased his price target on NVDA stock from $140 to $165, while maintaining the Buy rating. “One thing remains the same: fundamental strength at Nvidia,” Ramsay said in a client note. “In fact, our checks continue to point to upside in data center (sales) as demand for Hopper/Blackwell-based AI systems continues to exceed supply.”

“Overall we see a product roadmap indicating a relentless pace of innovation across all aspects of the AI compute stack,” Ramsay added.

Meanwhile, KeyBanc Capital Markets analyst John Vinh reiterated his Overweight rating on NVIDIA stock with a price target of $180. “We expect Nvidia to deliver higher results and higher guidance” with its second-quarter 2025 report, Vinh said in a client note. He added solid demand for generative AI will drive the upside.

As AI applications expand across various key industries, NVIDIA’s continuous strategic innovations and product developments, such as the Blackwell GPU and NVIDIA Inference Microservices, ensure the company remains at the forefront of technological advancement. With a market cap nearing $4 trillion and a solid financial outlook, NVIDIA is well-poised to deliver substantial returns for investors, solidifying its standing as a leader in the AI and GPU technology sectors.

Why Long-Term Investors Should Eye TSLA's Robotaxi Potential

Posted on by The INO.com Team

Tesla, Inc. (TSLA) is set to release its second-quarter delivery update in early July, which is expected to show a decline for the second straight quarter. Analysts have adjusted their estimates for TSLA deliveries downward due to concerns over consumer demand and intense competition in China. In January, the company cautioned that delivery growth in 2024 would be “notably lower” as the impact of months-long price cuts diminishes.

According to an average estimate derived from forecasts by 12 analysts polled by LSEG, the EV maker is expected to deliver 438,019 vehicles for the April-June period. Seven of these analysts have slashed their expectations in the past three months.

Further, Barclays analyst Dan Levy revised his deliveries forecast to 415,000 vehicles, marking an 11% year-over-year drop. He stated that “a soft delivery result could turn attention back to the currently challenging fundamental environment for Tesla.” Meanwhile, RBC Capital Markets and UBS have set their delivery estimates at 410,000 and 420,000 vehicles, respectively.

For comparison, Tesla delivered 386,810 vehicles in the first quarter of 2024 and 466,140 vehicles in the second quarter of 2023, with its highest deliveries tally in the fourth quarter of the previous year at 484,507 units.

Despite the anticipated dip in quarterly deliveries, many analysts suggest that investor focus is shifting from quarterly deliveries to TSLA’s long-term projects, particularly the highly anticipated Robotaxi event scheduled later this summer.

High-Profile Robotaxi Event

CEO Elon Musk officially announced on X that the company will unveil its long-promised Robotaxi on August 8, 2024. The upcoming autonomous vehicle will be built on Tesla’s next-generation vehicle platform. Musk has long hinted at the possibility of a Tesla Robotaxi, even showcasing a fully covered vehicle during a 2023 event unveiling the company's third Master Plan.

Musk previously stated that Tesla will eventually produce a car without human control. He further mentioned that Tesla vehicles equipped with Full Self-Driving Capability will, through software updates, continuously improve their driving skills. He also emphasized that Tesla owners could generate income from their autonomous cars by sending them to pick up and drop off passengers.

That would be a part of the “Tesla Network,” as described in Musk’s Master Plan Part Deux. “You will also be able to add your car to the Tesla shared fleet just by tapping a button on the Tesla phone app," he added, “and have it generate income for you while you’re at work or on vacation, significantly offsetting and at times potentially exceeding the monthly loan or lease cost.”

Several years later, Musk’s vision expanded even further. In 2019, he declared, "By the middle of next year, we'll have over a million Tesla cars on the road with Full Self-Driving hardware." He also claimed that Tesla’s Full Self-Driving (FSD) feature would be so dependable that drivers could “go to sleep.” However, it should be noted that Teslas equipped with FSD software are not fully autonomous, and drivers should not sleep while using them.

While Musk’s promises may not always align perfectly with reality, the success of Autopilot and FSD proves that he remains at the forefront of a societal shift from human-powered vehicles to those piloted by AI.

TSLA’s stock has witnessed a continuous downturn, with a decline of nearly 15% year-to-date and more than 25% over the past year. However, the stock has surged around 16% over the past month as investors increasingly focus on the upcoming Robotaxi event.

While delivery data is crucial for an EV company, investors are looking beyond that. Ben Kallo, an analyst at Robert W. Baird, noted, “Compared to Q124 when investor attention was intensely focused on near-term delivery estimates being too high, we see a growing number of investors shifting their outlook to the Robotaxi event on August 8 and the opportunity related to FSD.”

Ben Kallo anticipates that investor attention will remain toward the long term until the Robotaxi launch, which could include details on low-cost, next-gen vehicles. Meanwhile, Wedbush Securities analyst Dan Ives doesn’t anticipate significant fireworks for the June quarter but believes the 8/8 Robotaxi debut will be a substantial catalyst for TSLA.

UBS, however, is more skeptical about the Robotaxi event being an immediate catalyst for TSLA’s stock price. Nonetheless, the firm acknowledges that the EV maker has made significant technical progress in its Robotaxi and Optimus plans. And it is more likely than most companies to capitalize on AI in the physical world, with long-term benefits for its financial model.

Potential Risks and Challenges

While the upcoming Robotaxi event holds promise, it also has inherent risks and challenges. Autonomous driving technology faces stringent regulatory scrutiny. Tesla must navigate complex legal landscapes to deploy its Robotaxi fleet, which could delay implementation and affect timelines.

TSLA must continue to invest heavily in research and development (R&D) to ensure the reliability and safety of its autonomous vehicles. Critics argue that Musk exaggerates the capabilities of the technology, often with fatal consequences. There have been hundreds of crashes involving Tesla vehicles using FSD and Autopilot, resulting in dozens of deaths. The EV giant currently faces several wrongful death lawsuits.

While the Robotaxi initiative has long-term potential, it requires substantial upfront investment. The financial burden of developing and deploying autonomous vehicles could impact Tesla’s short-term profitability.

Bottom Line

TSLA is scheduled to release its second-quarter deliveries report this week, with analysts expecting to show a decline for the second consecutive quarter amid weak demand due to a lack of affordable new models and stiff competition in China. The deliveries report will be released just a few weeks before the company’s second-quarter earnings release.

Street expects Tesla’s revenue for the second quarter (ended June 2024) to decrease 4.2% year-over-year to $23.88 billion. The consensus EPS estimate of $0.58 for the same period indicates a decline of 35.9% year-over-year.

Despite the expected drop in deliveries and weak quarterly earnings, several market experts suggest that investor focus is shifting to Tesla’s long-term projects, particularly the high-profile Robotaxi event set for August this year. As the EV maker navigates the challenges and opportunities ahead, the Robotaxi initiative is a pivotal development that could redefine its future trajectory.

While short-term concerns persist, including weak consumer demand, regulatory hurdles, and ongoing legal challenges, long-term investors increasingly focus on Tesla’s ambitious autonomous driving vision. The event is poised to showcase the company’s technological advancements and could serve as a catalyst for renewed investor confidence.

Why Nvidia’s Stock Split Could Drive Further Market Gains

Posted on by The INO.com Team

NVIDIA Corporation (NVDA) shares topped a record high of $1000 in a post-earnings rally. Last week, the company reported fiscal 2025 first-quarter results that beat analyst expectations for revenue and earnings, reinforcing investor confidence in the AI-driven boom in chip demand. Moreover, the stock has surged nearly 120% over the past six months and more than 245% over the past year.

Meanwhile, the chipmaker announced a 10-for-1 forward stock split of NVIDIA’s issued common stock, making stock ownership more accessible to employees and investors.

Let's delve deeper into how NVIDIA’s stock split decision could attract more investors and propel future gains.

The AI Chip Leader

NVDA’s prowess in AI and semiconductor technology has been nothing short of remarkable. Its GPUs (Graphics Processing Units) have become synonymous with cutting-edge AI applications, from powering self-driving cars and training and deploying LLMs to revolutionizing healthcare diagnostics and e-commerce recommendation systems.

Amid a rapidly evolving technological landscape, NVIDIA has consistently remained at the forefront, driving innovation and redefining industry standards. Led by Nvidia, the U.S. dominates the generative AI tech market. ChatGPT’s launch in November 2022 played a pivotal role in catalyzing the “AI boom.”

NVDA holds a market share of about 92% in the data center GPU market for generative AI applications. The company’s chips are sought after by several tech giants for their diverse applications and high performance, including Amazon (AMZN), Meta Platforms, Inc. (META), Microsoft Corporation (MSFT), Alphabet Inc. (GOOGL), and Tesla, Inc. (TSLA).

Nvidia surpassed analyst estimates for revenue and earnings in the first quarter of fiscal 2025, driven by robust demand for its AI chips. In the first quarter that ended April 28, 2024, NVIDIA’s revenue rose 262% year-over-year to $26.04 billion. That topped analysts’ revenue expectations of $24.59 billion. The company reported a record revenue from its Data Center segment of $22.60 billion, up 427% from the prior year’s quarter.

“Our data center growth was fueled by strong and accelerating demand for generative AI training and inference on the Hopper platform. Beyond cloud service providers, generative AI has expanded to consumer internet companies, and enterprise, sovereign AI, automotive and healthcare customers, creating multiple multibillion-dollar vertical markets,” said Jensen Huang, founder and CEO of NVDA.

“We are poised for our next wave of growth. The Blackwell platform is in full production and forms the foundation for trillion-parameter-scale generative AI,” Huang added. 

NVDA’s non-GAAP gross profit grew 328.2% from the year-ago value to $20.56 billion. The company’s non-GAAP operating income was $18.06 billion, an increase of 491.7% from the prior year’s quarter. Its non-GAAP net income rose 461.7% year-over-year to $15.24 billion.

Furthermore, the chipmaker reported non-GAAP EPS of $6.12, compared to the consensus estimate of $5.58, and up 461.5% year-over-year.

Nvidia’s Stock Split: A Strategic Move

Alongside an outstanding fiscal 2025 first-quarter earnings, NVDA announced a 10-for-1 stock split of its issued common stock. Nvidia’s decision to split its stock aligns with a broader trend among tech giants to make their shares more appealing to a wider range of investors, particularly retail investors. The chipmaker aims to democratize ownership and attract a vast investor base by breaking down the barrier of high share prices.

As more individual investors gain access to Nvidia’s shares post-stock split, we could see heightened trading activity and increased demand, potentially exerting upward pressure on its share prices. This strategic move reflects the confidence of NVIDIA’s management in its future growth trajectory and underscores its commitment to inclusivity in the investment landscape.

Bank of America analysts, led by Jared Woodward, head of the bank’s research investment committee, described the share split as “another large-cap tech pursuing shareholder-friendly policies” in a note to clients.

NVIDIA marks the fourth Magnificent Seven big tech companies to announce a stock split since 2022, following Google, Amazon, and Tesla’s efforts to make shares more accessible, according to Woodward and his team.

In recent years, as the share prices of several Big Tech companies surged past the $500 mark, it has become challenging for retail investors to buy shares. Consequently, these companies have been exploring ways to simplify the process for nonprofessional investors to buy in. BofA added, “Big Tech is going bite-sized” to lure retail investors, which might signal more market-beating returns.

Historical Data Suggests That Stock Splits Indicate a Bullish Outlook

Examining historical data on stock splits reveals a generally positive picture. While immediate post-split gains aren’t guaranteed, companies like Apple Inc. (AAPL) and Google have witnessed substantial appreciation in their share prices following splits. AAPL’s 4-for-1 stock split, which took effect in August 2020, primarily influenced investor sentiment and trading dynamics.

Following the split, Apple’s stock continued its upward trajectory, driven by solid performance in its core businesses, including iPhone sales, services revenue, and wearables. Throughout the latter half of 2020 and into 2021, its share price experienced significant appreciation, reaching new all-time highs.

Given NVIDIA’s robust fundamentals and leadership in AI and semiconductor technology, there’s reason to believe that its recent stock split could lead to similar outcomes.

BofA’s sell-side analysts have consistently been bullish on Nvidia shares, and following the first-quarter earnings release, they raised their lofty 12-month price target for the chip giant from $1,100 to $1,320. If the outlook proves accurate, Nvidia shares could surge by another 26%, and the stock split could support that bullish move, as per Bank of America’s reading of history.

“Splits have boosted returns in every decade, including the early 2000s when the S&P 500 struggled,” noted Woodard and his team. BofA’s research indicates that stocks have delivered 25% total returns within the 12 months following a stock split historically, compared to the S&P 500’s 12%.

Further, the bank highlighted that stock splits often ignite bullish runs, even in stocks that have been underperforming. For example, both Advanced Micro Devices, Inc. (AMD) and Valero Energy Corporation (VLO) experienced significant share price increases after announcing stock splits despite their prior poor performance. According to analysts, “Since gains are more common and larger than losses on average, splits appear to introduce upside potential into markets.”

However, it's essential to heed the standard caveat the Securities and Exchange Commission (SEC) provided: “Past performance is not indicative of future results.” In line, Bank of America emphasized that “outperformance is no guarantee” after a stock split. Companies still witness negative returns 30% of the time following a split, with an average decline of 22% over the subsequent 12 months.

The analysts noted, “While splits could be an indication of strong momentum, companies can struggle in a challenging macro environment.” They pointed to companies like Amazon, Google, and Tesla that faced difficulties in the 12 months following their stock splits in 2022 due to a high interest-rate environment.

Bottom Line

NVDA has a significant role as a global leader in AI and semiconductor technology, with its GPUs driving innovations across numerous industries, such as tech, automobile, healthcare, and e-commerce. Nvidia’s fiscal 2025 first-quarter results suggest that demand for its AI chips remains robust.

Statista projects the global generative AI market to reach $36.06 billion in 2024. This year, the U.S. is expected to maintain its position as the leader in AI market share, with a total of $11.66 billion. Further, the market is estimated to grow at a CAGR of 46.5%, resulting in a market volume of $356.10 billion by 2030. The AI market’s bright outlook should bode well for NVDA.

The company also recently made headlines with its announcement to undergo a 10-for-1 stock split. While stock splits generally do not change the fundamental value of a company, they make its shares more accessible and attractive to retail investors. So, the recent stock split could significantly increase retail participation, driving heightened trading activity and potentially exerting upward pressure on Nvidia’s share prices.

Historically, stock splits generally indicate a positive impact on stock performance. Companies like AAPL, GOOGL, and AMD experienced substantial price appreciation after stock splits, with enhanced accessibility to retail investors driving higher demand and liquidity.

However, it is crucial to acknowledge that past performance is not indicative of future results. While stock splits can signal strong price momentum, they do not guarantee outperformance.

In conclusion, Nvidia’s stock split will likely attract more retail investors, potentially boosting increased trading activity and stock price appreciation. Coupled with the company’s strong position in the AI and semiconductor markets, the stock split could facilitate further growth, aligning with historical trends of positive post-split performance.

Rivian (RIVN) vs. Tesla (TSLA): Can the EV Underdog Match the Giant's Success Story?

Posted on by The INO.com Team

Tesla, Inc. (TSLA) accomplished what many believed to be an impossible feat by establishing itself as a prominent electric vehicle (EV) manufacturer entirely from scratch. This achievement positioned Tesla to challenge and compete with major players in the automotive industry.

Rivian Automotive, Inc. (RIVN) shares similar aspirations, aspiring to emulate TSLA’s success. However, investors eagerly anticipating Rivian’s potential to replicate Tesla’s trajectory must closely monitor whether Rivian can address significant challenges in 2024.

Establishing an automobile manufacturing company is particularly challenging due to its capital-intensive nature. This endeavor involves building extensive manufacturing facilities, procuring expensive materials, hiring a substantial workforce, and investing significant time in coordination.

Moreover, navigating regulatory requirements, especially concerning vehicle safety, adds another layer of complexity, as obtaining approvals for road-ready automobiles necessitates stringent compliance measures. Thus, the process of building an automobile manufacturer is not only laborious but also requires substantial financial resources and regulatory adherence.

It took TSLA several years before it could generate consistent profits, a milestone the company reached in 2020. Starting in 2014, Tesla experienced a notable increase in net losses, accompanied by a rise in research and development (R&D) expenses. The electric carmaker, founded in 2003, finally posted its first full year of net income of $721 million in 2020, in contrast to prior losses.

However, during this period, Tesla didn’t face significant competition in the EV market, making it the primary choice for consumers interested in EVs. This relatively unchallenged position allowed Tesla to focus on building its brand and technology without immediate pressure from its dominant peers.

In contrast, RIVN faces a more daunting challenge as it strives to achieve profitability in a market with more players and a competitive landscape different from TSLA’s early years. This means that Rivan’s journey to success is not only challenging and costly but also happening in a market environment that demands strategic adaptation and innovation.

Is Rivian on the Path to Becoming the Next Tesla?

RIVN has made significant strides toward establishing itself as a major player in the EV industry, boasting infrastructure capable of supporting its planned 2024 production target of approximately 57,000 vehicles. For the full year 2023, the company produced 57,232 vehicles and delivered 50,122, surpassing the management’s 2023 production guidance of 54,000 vehicles.

As Rivian’s production and manufacturing progress improved throughout the last year, it showcased its capacity as a legitimate automaker. Moreover, on March 7, 2024, the auto company introduced R2, R3, and R3X product lines built on its new midsize platform.

The launch of new products, including R2 and R3, designed to embody the company’s performance, capability, usability, and affordability, can bring it an expanded market reach, drive higher sales volumes, and offer a competitive edge. Rivian’s design and engineering teams are highly focused on innovating not just the product features but also its approach to manufacturing to achieve substantially reduced costs.

Despite this, Rivian still lags far behind Tesla in a critical investor metric: profitability. Rivian is far from achieving profitability, with its losses significantly exceeding those incurred by Tesla during its initial stages of developing its EV business.

In 2023, while generating substantial revenue of $4.40 billion, Rivian incurred a staggering cost of sales totaling $6.40 billion. This means that Rivian incurred losses for every EV it sold, highlighting an unsustainable business model that requires addressing for long-term viability.

The company reported a net loss of $1.52 billion for the fourth quarter that ended December 31, 2023. The last quarter of 2023 reflected a greater discrepancy between production and deliveries compared to previous quarters and recorded a 10% fall in deliveries.

Also, the company has been burning through cash to ramp up production of its product lines. As of December 31, 2023, RIVN’s cash and cash equivalents stood at $7.86 billion, compared to $11.57 billion as of December 31, 2022. Its cash burn comes at a time when demand for EVs has slowed, with Tesla CEO Elon Musk warning that high interest rates are making cars unaffordable.

“We firmly believe in the full electrification of the automotive industry, but recognize in the short-term, the challenging macro-economic condition,” said RJ Scaringe, Founder and CEO of Rivian.

Elon Musk further made remarks about RIVN’s product design, acknowledging its merit but emphasizing the company’s challenge of scaling up production while maintaining positive cash flow. He pointed out that his rival could face the risk of bankruptcy within six quarters unless significant cost reductions are implemented.

Musk emphasized the urgent need for massive cost-cutting measures to ensure the RIVN’s survival in the competitive automotive market.

Challenges Lie Ahead for Rivian in 2024

RIVN’s outlook for 2024 is influenced by economic and geopolitical uncertainties, particularly the impact of exceptionally high-interest rates. The company plans to maintain its production target at 57,000 vehicles, consistent with 2023 levels. For the full year, Rivian anticipates significant capital expenditures of $1.75 billion and an adjusted EBITDA loss of $2.70 billion.

Amid mounting losses and an increasingly competitive EV market, RIVN announced in February that it would lay off 10% of its salaried workers. Previously, on two different occasions, the EV maker laid off about 6% of its workforce in an effort to reduce its losses.

“Our business is facing a challenging macroeconomic environment — including historically high interest rates and geopolitical uncertainty — and we need to make purposeful changes now to ensure our promising future,” chief executive RJ Scaringe wrote in an email to employees.

Rivian’s cash burn is one of the primary challenges for the company. Its cash burn is unsustainable as it expands R2 and R3 capacity, prompting management to announce a reduction in capital expenditures, specifically in Georgia. Last month, Rivian announced that it would be pausing the construction of its $5 billion manufacturing plant in Georgia to cut down costs.

CEO RJ Scaringe said that production of the R2 will begin at RIVN’s existing plant in Normal, Illinois. While presented as a cost-saving initiative, the decision raises concerns regarding the company's ability to manage its operations effectively.

Bottom Line

RIVN has made significant strides in establishing itself as a major player in the EV industry. The company’s infrastructure supports its ambitious production targets, and the introduction of new product lines like R2 and R3 showcases its commitment to innovation and market expansion. These moves can potentially drive higher sales volumes and enhance its competitive edge.

However, Rivian faces substantial challenges, particularly in achieving profitability. Despite generating decent revenue, the company’s cost of sales has resulted in significant losses, raising questions about the sustainability of its business model. The company’s cash burn is a pressing concern.

While Rivian has shown promise in its technological advancements and product offerings, its path to profitability and long-term viability hinges on its ability to address its cost structure, manage cash flow effectively, and navigate a challenging macroeconomic environment in the EV industry, including high interest rates, supply chain disruptions, and intensified competition.

So, it’s crucial to emphasize that investors should focus on Rivian’s execution toward profitability in 2024. While a shift from losses to profits is significant, consistent progress toward that turning point will determine Rivian’s potential to match Tesla’s success. Investors should also closely monitor Rivian’s efforts to improve operational efficiency and manage costs effectively.

If Rivian can demonstrate steady progress toward profitability, there’s still a chance it could match its rival Tesla’s some of the success achieved. However, given its massive losses, alarming cash burn, and an uncertain outlook, it could be wise to approach RIVN with caution for now.

Google’s AI Debacle: A Red Flag for Investors Eyeing Sell Signals?

Posted on by The INO.com Team

Since the debut of OpenAI’s ChatGPT in November 2022, numerous tech companies have been swiftly advancing to develop comparable, if not superior, versions of such conversational AI models. Among them, tech titan Alphabet Inc. (GOOGL) has emerged as a prominent player.

Utilizing its extensive resources and employing top-tier talent to explore the frontiers of AI capabilities, GOOGL unveiled its largest and most capable AI model, Gemini (formerly known as Bard), in December last year.

This expansive language model consists of three variants: Gemini Ultra, representing its largest and most proficient category; Gemini Pro, designed to address a wide range of tasks across various scales; and Gemini Nano, tailored for specific functionalities and compatibility with mobile devices.

GOOGL’s CEO Sundar Pichai said this new era of models signifies one of the company's most significant science and engineering endeavors. He expressed genuine excitement about the future and the opportunities Gemini will bring to individuals worldwide.

However, despite the CEO’s enthusiasm, Gemini failed to garner the same level of traction as ChatGPT. According to web analytics company Similarweb, Gemini currently ranks as the third most popular AI chatbot, trailing significantly behind ChatGPT in terms of traffic.

To make matters worse, Gemini has encountered multiple controversies over the last month, resulting in a notable downturn for GOOGL. According to the Gemini chatbot, one should never misgender a person, even if it could prevent a nuclear apocalypse.

This stance was revealed in response to a hypothetical question posed by a popular social media account, which asked if misgendering Caitlyn Jenner, a prominent transgender woman, could prevent such a catastrophe. Gemini’s “woke” response to the post received major criticism from social media users.

Additionally, the controversy surrounding Google’s Gemini intensified as its image-generating platform was slammed for producing racially inaccurate depictions of historical figures, occasionally substituting images of White individuals with those of Black, Native American, and Asian descent.

Tesla, Inc. (TSLA) CEO Elon Musk expressed concern over these “woke” responses, particularly emphasizing the widespread integration of Gemini across GOOGL’s products and YouTube.

Musk tweeted about a conversation with a senior GOOGL executive, who informed him it would take a few months to address the issue, contrary to earlier expectations of a quicker resolution.

While GOOGL has issued several apologies and halted the use of Gemini’s image-generating platform, a former GOOGL executive disclosed that investors are expressing profound frustration as the scandal involving the Gemini model evolves into a tangible threat to the tech company.

On the other hand, CEO Sundar Pichai reassured stakeholders, affirming that the company is actively working “around the clock” to address the issues with the AI model. Pichai condemned the generated images as “biased” and “completely unacceptable.”

Furthermore, GOOGL recently introduced an update to Gemini that allows users to modify inaccurate responses and provides them with increased control over the platform. Reportedly, GOOGL experienced a loss of approximately $90 billion in market value last month, fueled by the controversy surrounding Gemini.

Also, GOOGL made history as the first company to face a hefty fine for its AI training methods. French regulators imposed a penalty of approximately $270 million on the tech giant. The regulatory authority stated that the company breached a pledge by using content from news outlets in France to train its generative AI model, Gemini.

Bottom Line

As GOOGL grapples with the fallout from Gemini-related controversies, its reputation among investors has taken a significant blow. The company’s AI chatbot faced enhanced backlash from individuals and prominent public figures such as Elon Musk.

Sergey Brin, the co-founder of GOOGL, acknowledged Gemini's historical inaccuracies and questionable responses. He stated that Google “definitely messed up on the image generation” and attributed the issue to insufficient testing.

However, he highlighted that GOOGL is not alone in grappling with challenges. Various AI tools, including ChatGPT and Elon Musk’s Grok services, struggle to generate accurate results. He noted that these tools sometimes produce peculiar responses that may seem politically skewed.

Despite these challenges, Brin maintains confidence in GOOGL’s position, emphasizing his belief in the tech company’s capabilities to adapt and innovate its business models.

Furthermore, GOOGL continues to lead the way in the field of AI. Talks between GOOGL and Apple Inc. (AAPL) about integrating Gemini’s generative AI technology with iPhones have sparked a significant surge in the stock prices of both companies.

A partnership with AAPL would give GOOGL and Gemini a reassuring vote of confidence, particularly given the recent controversies surrounding its “woke” chatbot and the generation of inaccurate images.

Wedbush analyst Scott Devitt sees the potential deal as a validation moment for GOOGL’s generative AI positioning. The firm rates GOOGL “outperform” and has a 12-month price target of $160. Devitt emphasized that this collaboration represents a significant opportunity for GOOGL to integrate into the AAPL ecosystem.

In conclusion, while GOOGL faces challenges and scrutiny due to controversies surrounding Gemini, the company continues demonstrating determination to adapt and thrive.

Furthermore, talks with AAPL regarding the potential integration of Gemini's technology signal promising opportunities for GOOGL and its generative AI model. Consequently, in light of this significant development, adopting an entirely bearish stance on GOOGL might not be prudent. Thus, investors could closely monitor the stock for potential gains.