News
Tesla’s vertical integration and preparation were keys to avoiding chip shortage: Reuters
Tesla seemed to be made of Teflon in 2020 and 2021, as the company seemed to avert the semiconductor chip shortage with relative ease, while longstanding and prestigious automakers scaled back production due to the lack of supplies. Tesla, a company run like no other, avoided these chip shortages by using its vertical integration and preparation, along with some other strategic moves, to solidify its company’s position as the big winner of the uncertain 2020 and 2021 global automotive market.
After reporting that it had crushed Wall Street consensus expectations regarding Q4 2021 deliveries, Tesla shares skyrocketed over 13% yesterday. The unlikely, small-but-mighty car company now based out of Austin, Texas, after a more than a decade-long relationship with Northern California, which had its ups and downs, averted crisis over the past two years, and continued its streak of manufacturing growth, by keeping itself stocked on the various chips and semiconductors that keep its vehicles moving.
Strategies like delivering some cars with missing parts, like USB ports or Bluetooth chips, or even axing lumbar support in some cars, helped make things easier to build. These strategies, along with various price raises to address higher part costs and expedited shipping measures, helped keep the balance sheet healthy. Customers may have paid more for their cars than they would have in early 2021, but it did not affect sales figures like one might expect. Tesla beat Wall Street estimates by 16% when it released delivery figures for the final quarter of 2021.
Momentum started when Tesla stated in its Q2 2021 Earnings Call that it had developed a series of 19 microcontrollers in-house that would help avoid the chip shortage. “Our team has demonstrated an unparalleled ability to react quickly and mitigate disruptions to manufacturing caused by semiconductor shortages,” the company wrote in its Shareholder Deck for Q2. “Our electrical and firmware engineering teams remain hard at work designing, developing, and validating 19 new variants of controllers in response to ongoing semiconductor shortages.”
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Tesla delivers record 241,300 cars in Q3, handily beating consensus estimates
This is just one part of Tesla’s vertical integration, which helps the company avoid the massive shipping bottlenecks that kept cars away from customers for the majority of 2021. Other companies were forced to delay production and deliveries; there just were not enough chips to go around. However, Tesla’s key advantage over other OEMs was the fact that many elements of its products are designed in-house, down to the most complex portions of a design. “We’re designing and building so much more of the car than other OEMs, who will largely go to the traditional supply base and like I call it, catalog engineering. So it is not very adventurous,” CEO Elon Musk said during the Q3 2020 Earnings Call.
Reuters spoke to a Tesla insider who is involved in the engineering of the company’s chips, which shed light on how effective the vertical integration advantage is. “We design circuit boards by ourselves, which allow us to modify their design quickly to accommodate alternative chips like powerchips,” the employee told Reuters.
The series of in-house chips, which were easily modified to accommodate other types of chips that Tesla was in need of, was not the only strategy the automaker used to avoid bottlenecks. Tesla also prepared by not halting the number of chips it had ordered from suppliers, a move that other car companies did not replicate. Instead, Tesla never reduced its production forecast because of the pandemic or supply chain shortages, which may have been its most crucial move. “They’ve just been smarter about it than other companies in terms of making sure there’s buffer stock,” a supplier executive for Tesla indicated.
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Elon Musk
Elon Musk’s xAI closes upsized $20B Series E funding round
xAI announced the investment round in a post on its official website.
xAI has closed an upsized $20 billion Series E funding round, exceeding the initial $15 billion target to fuel rapid infrastructure scaling and AI product development.
xAI announced the investment round in a post on its official website.
A $20 billion Series E round
As noted by the artificial intelligence startup in its post, the Series E funding round attracted a diverse group of investors, including Valor Equity Partners, Stepstone Group, Fidelity Management & Research Company, Qatar Investment Authority, MGX, and Baron Capital Group, among others.
Strategic partners NVIDIA and Cisco Investments also continued support for building the world’s largest GPU clusters.
As xAI stated, “This financing will accelerate our world-leading infrastructure buildout, enable the rapid development and deployment of transformative AI products reaching billions of users, and fuel groundbreaking research advancing xAI’s core mission: Understanding the Universe.”
xAI’s core mission
Th Series E funding builds on xAI’s previous rounds, powering Grok advancements and massive compute expansions like the Memphis supercluster. The upsized demand reflects growing recognition of xAI’s potential in frontier AI.
xAI also highlighted several of its breakthroughs in 2025, from the buildout of Colossus I and II, which ended with over 1 million H100 GPU equivalents, and the rollout of the Grok 4 Series, Grok Voice, and Grok Imagine, among others. The company also confirmed that work is already underway to train the flagship large language model’s next iteration, Grok 5.
“Looking ahead, Grok 5 is currently in training, and we are focused on launching innovative new consumer and enterprise products that harness the power of Grok, Colossus, and 𝕏 to transform how we live, work, and play,” xAI wrote.
Investor's Corner
Tesla gets price target bump, citing growing lead in self-driving
Tesla (NASDAQ: TSLA) stock received a price target update from Pierre Ferragu of Wall Street firm New Street Research, citing the company’s growing lead in self-driving and autonomy.
On Tuesday, Ferragu bumped his price target from $520 to $600, stating that the consensus from the Consumer Electronics Show in Las Vegas was that Tesla’s lead in autonomy has been sustained, is growing, and sits at a multiple-year lead over its competitors.
CES 2026 validates Tesla’s FSD strategy, but there’s a big lag for rivals: analyst
“The signal from Vegas is loud and clear,” the analyst writes. “The industry isn’t catching up to Tesla; it is actively validating Tesla’s strategy…just with a 12-year lag.”
The note shows that the company’s prowess in vehicle autonomy is being solidified by lagging competitors that claim to have the best method. The only problem is that Tesla’s Vision-based approach, which it adopted back in 2022 with the Model 3 and Model Y initially, has been proven to be more effective than competitors’ approach, which utilizes other technology, such as LiDAR and sensors.
Currently, Tesla shares are sitting at around $433, as the company’s stock price closed at $432.96 on Tuesday afternoon.
Ferragu’s consensus on Tesla shares echoes that of other Wall Street analysts who are bullish on the company’s stock and position within the AI, autonomy, and robotics sector.
Dan Ives of Wedbush wrote in a note in mid-December that he anticipates Tesla having a massive 2026, and could reach a $3 trillion valuation this year, especially with the “AI chapter” taking hold of the narrative at the company.
Ives also said that the big step in the right direction for Tesla will be initiating production of the Cybercab, as well as expanding on the Robotaxi program through the next 12 months:
“…as full-scale volume production begins with the autonomous and robotics roadmap…The company has started to test the all-important Cybercab in Austin over the past few weeks, which is an incremental step towards launching in 2026 with important volume production of Cybercabs starting in April/May, which remains the golden goose in unlocking TSLA’s AI valuation.”
Tesla analyst breaks down delivery report: ‘A step in the right direction’
Tesla has transitioned from an automaker to a full-fledged AI company, and its Robotaxi and Cybercab programs, fueled by the Full Self-Driving suite, are leading the charge moving forward. In 2026, there are major goals the company has outlined. The first is removing Safety Drivers from vehicles in Austin, Texas, one of the areas where it operates a ride-hailing service within the U.S.
Ultimately, Tesla will aim to launch a Level 5 autonomy suite to the public in the coming years.
Elon Musk
Elon Musk’s Biggest Revelations on AI, Robots, and the Future of Work from the Moonshots Podcast
Elon Musk’s appearance on the Moonshots with Peter Diamandis podcast was packed with bold predictions, candid admissions, and surprising tech insights. The nearly three-hour conversation covered everything from artificial intelligence to humanoid robots, geopolitics, and the future of work. Here are the top 10 most intriguing takeaways:
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Aggressive AGI Timeline Predictions
Musk offered a detailed view on when artificial general intelligence (AGI) could emerge, suggesting it may arrive sooner than many expect, emphasizing both transformative potential and risks.
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U.S. vs. China in the AI Race
He discussed the strategic competition between the United States and China over AI development, noting that geopolitical dynamics will shape how and who leads in the next decades.
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Future of Job Markets
Musk touched on how AI and automation could reshape employment, predicting massive boosts in productivity alongside potential disruptions in traditional work structures.
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Clean Energy Transition
A recurring theme was the role of clean energy in future economies, with Musk reiterating the importance of scaling sustainable power generation and storage.
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Humanoid Robots Are Coming
On the podcast, Musk elaborated on Tesla’s work on humanoid robots, hinting at timelines and applications that go beyond factories to general-purpose assistance.
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Tesla Roadster “Last Human-Driven Car”
Outside the core discussion topics, Musk teased features of the upcoming Tesla Roadster — calling it “the best of the last of the human-driven cars” and suggesting safety won’t be its main selling point.
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The Role of AI in Clean Energy and Robotics
Linking AI to both energy optimization and robotics, Musk explained how smarter systems could accelerate decarbonization and task automation across industries.
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U.S. Innovation Leadership
Musk argued that maintaining American leadership in key tech sectors like AI, space, and robotics should be a national priority, with thoughtful policy and investment.
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Job Creation vs. Job Elimination
While acknowledging automation’s disruptive effects, he also outlined scenarios where new industries and opportunities could emerge, particularly in AI, space, and advanced manufacturing.
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Long-Term Vision for Humanity
Throughout the conversation, Musk revisited his long-term philosophical views — including a belief in humanity’s responsibility to become a multi-planetary and technologically empowered species.
Whether you agree with Musk’s optimism or not, the podcast offers a window into the thinking of one of the most influential figures in tech today, in and why his visions continue to spark debate and inspiration.