SpaceX filed for an IPO with a target valuation of $1.75 trillion despite a $4.28 billion loss in Q1 2026. NVIDIA reported a record quarterly revenue of $81.6 billion, while Tesla is rolling out FSD in China and Europe. The global tech market is entering a phase of hyper-volatility and regulatory pressure simultaneously.

Major tech companies are simultaneously demonstrating record valuations and growing losses amid explosive demand for artificial intelligence and autonomous technologies. SpaceX is going public on Nasdaq under the ticker SPCX, aiming for a $2 trillion valuation, while NVIDIA publishes a historic quarterly result amid a 92% growth in data center demand, and Tesla expands Full Self-Driving in China and Europe. For investors and corporate IT directors, this is not just news from Silicon Valley, but a signal of how budgets for infrastructure, cloud, and AI will be allocated in the next 12-24 months. For businesses in Kazakhstan and Central Asia, it is critical to restructure IT strategies and partnerships with contractors like Alashed IT (it.alashed.kz) in time to keep up with the new wave of technology.

SpaceX IPO and the Global Tech Market

SpaceX filed for an IPO on May 20, 2026, targeting a valuation of $1.75 trillion on the day of the offering, with the potential to expand the range to $2 trillion. This makes the company's future capitalization larger than most of the world's public IT giants, placing SpaceX in the top three most expensive companies on the planet by valuation: above Microsoft and just behind Apple and NVIDIA. However, the business is formally unprofitable: in Q1 2026, SpaceX recorded a net loss of $4.28 billion and an accumulated undistributed loss of $41.3 billion. The main revenue driver for the company is Starlink, which generated $11.4 billion in 2025, or about 61 percent of total revenue of $18.7 billion.

The structure of the IPO itself breaks the usual Wall Street rules. SpaceX plans to list its shares on Nasdaq under the ticker SPCX, with 30 percent of the free float allocated to retail investors. For comparison, Facebook's IPO had a retail share of about 10 percent. Goldman Sachs is the lead underwriter of the deal, with a total of 21 banks participating in the syndicate. The price range for the offering in the S-1 has not yet been specified, but in private deals on the secondary market, SpaceX shares have been trading in the range of $420 to $674 per share in recent months. This indicates enormous speculative interest and investors' willingness to pay for a long-term growth story in the space and telecom sectors.

The unique ownership structure also intensifies attention to the deal. Company founder Elon Musk retains 42 percent of the economic stake and about 85 percent of the voting rights, which practically guarantees him full strategic control after the IPO. Against this backdrop, a number of investors are concerned about the concentration of power in the hands of one person with such a huge market capitalization. However, as recent years have shown, the market is willing to tolerate such concentration for access to monopolistic or quasi-monopolistic technological platforms.

For the global tech market, SpaceX's entry into the public domain means increased transparency and pressure on competitors in the satellite internet, launch services, and space infrastructure for AI and data centers segments. Companies working with low-orbit satellite systems will now be compared to SpaceX's public multipliers, and institutional investors are reformatting their portfolios, reallocating capital from traditional telecoms to higher-risk but faster-growing assets in the new space sector.

NVIDIA: Record Revenue and the Center of the Global AI Market

NVIDIA reported record quarterly results, with revenue of $81.6 billion for the last reported quarter. The key driver is the data center segment, which showed a 92 percent increase in demand compared to the previous period. Amid explosive interest in generative AI and large language models, hyperscalers and large corporate customers are increasing investments in GPU infrastructure by double digits, often budgeting for capital expenditures of over $1 billion per year for 2026-2027. NVIDIA has already started delivering its first CPU Vera to major AI labs, including OpenAI and SpaceX, which strengthens its role not only as a GPU supplier but also as a producer of comprehensive server architecture.

The company's strategy goes far beyond hardware supply. NVIDIA is actively promoting its own software stack for AI, including CUDA, cuDNN library, and specialized SDKs for computer vision, generative graphics, and scientific computing. This creates a platform effect that thousands of companies around the world have already invested in: developers optimize their models and services for the NVIDIA ecosystem, which increases the cost of switching to alternative solutions. For businesses, this means that the choice between 'staying with NVIDIA' and 'building a multi-vendor infrastructure' is becoming not just a technical, but a strategic decision over a 5-7 year horizon.

The company is also strengthening its integration with major cloud providers and telecoms, offering reference architectures for edge computing, 5G/6G core networks, and industrial digital twins. For system integrators and IT outsourcers like Alashed IT (it.alashed.kz), this opens up a window of opportunity: local teams can build managed services for GPU leasing, MLOps, and AI infrastructure maintenance based on global NVIDIA solutions, offering businesses in developing regions access to the same power as Western corporations.

In the capital markets, NVIDIA's success is driving up valuations of second-tier companies involved in processor manufacturing, HBM memory, and data center infrastructure. Server 'hardware', network equipment, and cooling system manufacturers are already seeing double-digit growth in order portfolios for AI data center projects. This creates a chain reaction: demand for electricity, high-speed optical lines, and skilled IT support is growing across the entire supply chain. Companies that can integrate into this new technological landscape as service, software, or integration solution providers can expect a steady flow of projects for at least the next 3-5 years.

Tesla: FSD in China and Europe and a New Wave of Regulations

Tesla has rolled out its Full Self-Driving (Supervised) system in China and received regional approval in Europe through the Netherlands regulator. This is a strategic move that opens up access to two of the largest global electric vehicle markets and changes the rules of the game in the autonomous transport sector. The Chinese market is key for Tesla both in terms of sales volumes and in terms of the pace of introducing new digital services for cars. FSD approval in Europe through the Netherlands allows Tesla to use the mutual recognition of certifications mechanism in a number of EU countries, speeding up scaling without having to go through the full cycle of procedures in each jurisdiction separately.

However, technological progress is accompanied by increased regulatory and legal pressure. In the US, Australia, and Germany, lawsuits continue over the safety of autopilot systems and the environmental aspects of electric vehicle production and operation. Questions are being raised to Tesla both about marketing formulations that create inflated expectations of autonomy levels among users and about the analysis of incidents involving FSD. Regulators are increasing requirements for data transparency, trip logging, and over-the-air software update procedures, which indirectly sets new standards for the entire autotech industry.

For Tesla, launching FSD in China and Europe simultaneously is both a revenue driver and a source of additional costs. The system is monetized through a subscription model and one-time payments, which can bring companies hundreds of dollars per year per car. But supporting regional regulatory requirements, localizing maps, telemetry processing infrastructure, and ensuring cybersecurity require significant investments in data centers, networks, and development. This is where partnerships with cloud service providers and local IT contractors come to the fore.

The expansion of FSD is also driving traditional automakers to accelerate their own ADAS and autonomous driving programs. This means increased demand for high-performance SoCs, onboard telemetry systems, high-precision maps, and software stacks for real-time data processing. In the coming years, we will see how fleets around the world begin to turn into distributed computing platforms, generating petabytes of data that need to be stored, analyzed, and protected. Companies that are already building edge analytics and cybersecurity solutions for transport with such integrators as Alashed IT will gain a significant competitive advantage.

Apple, Intel, and the New Configuration of the Chip Industry

Apple is preparing for a new major update cycle, including the release of iOS 27 and the development of its own silicon stack following the success of the M-series chip lineup. Against this backdrop, a preliminary agreement between Apple and Intel on chip production has been announced. For Intel, this is a chance to establish itself as a contract manufacturer for one of the most demanding clients in the world, while for Apple, it is an opportunity to diversify production and reduce dependence on individual factories. This step reflects a broader trend: companies that control the design and production of their own processors gain a serious advantage in optimizing performance and power consumption for their ecosystems.

Apple's preliminary agreement with Intel fits into the global restructuring of semiconductor supply chains that began after the pandemic and ongoing geopolitical risks. Major tech corporations are seeking to distribute production across multiple regions and contractors to reduce the risk of disruptions and price shocks. For businesses, this means that in the 2-3 year horizon, we can see more stable supplies of server and client chips, but in the short term, premium prices for high-performance solutions, especially in the AI and data center segments, will remain.

Apple itself continues to build a strategy of deep vertical integration: from its own SoCs in Macs and iPads to potential AI accelerators for server infrastructure and cloud services. This is a direct challenge to the traditional model, where processor and operating system suppliers existed separately from device manufacturers. Now, major vendors are seeking to control the entire chain: hardware, operating system, cloud, and AI services. For corporate clients, this creates both the convenience of a single ecosystem and the risks of vendor lock-in.

Companies like Alashed IT (it.alashed.kz) are already facing requests from clients for multi-platform solutions that allow combining infrastructure based on different architectures and vendors. In an environment where Apple is strengthening its position in chips, and NVIDIA and other players are building their own vertically integrated stacks, the ability to properly mix ecosystems and minimize the risks of vendor lock-in is becoming a key competency for IT outsourcers and system integrators. This is especially true for companies preparing for major updates to their device and server infrastructure in 2026-2028.

Why This Is Critical for Business IT Strategies Today

The simultaneous events - SpaceX IPO, NVIDIA's record quarter, Tesla's FSD expansion, and Apple's new agreement with Intel - are shaping a new configuration of the global tech market. For businesses, this is not just headlines, but a set of signals about what capital and operational IT budgets will look like in the coming years. Investments are shifting towards satellite internet, cloud GPUs, autonomous transport, and vertically integrated platforms. This means that companies need to review their plans for telecom infrastructure, cybersecurity, data analytics, and AI platforms today.

In practice, this is expressed in specific figures. Large corporations are budgeting for IT budgets to grow by 15-30 percent in 2026-2027, specifically due to digital transformation projects using AI and connected devices. Even medium-sized businesses are increasingly allocating separate budget items for generative AI pilots, predictive analytics systems, and process automation. In this context, partnerships with local integrators like Alashed IT allow you to build not just 'buy hardware', but a full-fledged architecture: from the communication channel (including future integrations with satellite systems like Starlink) to MLOps and monitoring.

Another important aspect is regulatory and legal risks. The more AI and autonomy technologies come into transport, finance, industry, and public services, the higher the requirements for data storage, algorithm transparency, and protection against cyberattacks. It is no longer enough for businesses to deploy an AI model; they need to ensure auditing, logging, leak protection, and compliance with local and international regulations. This is a special area of responsibility for IT services and contractors, as mistakes can cost not only fines but also the shutdown of critical operations.

Companies that form a clear IT strategy in the next 12-18 months, taking into account trends in satellite communications, AI infrastructure, and autonomous systems, will gain a sustainable advantage in the regional market. On the contrary, those who delay decisions until 'calmer times' risk facing a shortage of competencies, rising project costs, and the need to catch up with competitors on several technological fronts at once. The role of professional outsourcers is increasing here: they allow you to quickly build expertise and resources without long-term investments in your own teams and data centers.

Что это значит для Казахстана

For Kazakhstan and Central Asian countries, these global technological shifts have direct consequences. Firstly, the growth of SpaceX's valuation to $1.75 trillion and the dominance of Starlink with $11.4 billion in revenue in 2025 intensifies competition in the international connectivity market. The emergence of new-generation commercial satellite services can radically improve internet access in remote regions of Kazakhstan, where the penetration rate of fixed broadband and the quality of channels remain lower than in major cities. This opens up opportunities for mining, oil and gas, and agricultural companies that need a stable and secure communication channel at their sites and remote facilities.

Secondly, NVIDIA's record revenue of $81.6 billion and 92 percent growth in data center demand mean that the cost of owning GPU infrastructure and powerful servers will remain high in the next 1-2 years. For businesses in Kazakhstan, this is an argument in favor of the 'as-a-service' model: renting power in the cloud, shared data centers, and managed AI services from local contractors. Companies like Alashed IT (it.alashed.kz) can act as a bridge between global technology providers and the local market, offering SLAs in Russian and Kazakh, local support, and adaptation of solutions to meet national data legislation requirements.

Thirdly, Tesla's FSD expansion and increasing regulatory pressure on autonomous transport set benchmarks for future regulation in Kazakhstan. In the next few years, issues such as vehicle telemetry storage, integration with national road safety systems, and transport cybersecurity will be relevant. This creates demand for streaming data processing, edge analytics, and SOC services that local providers can offer. Companies that start pilots with AI, automation, and connected devices today will be in a favorable position when regulators begin to form detailed rules of the game.

Finally, the restructuring of the semiconductor industry around Apple, Intel, and other major players affects the availability and price of servers, network equipment, and corporate devices in the region. Import-dependent markets, including Kazakhstan, will be particularly sensitive to delays and price fluctuations. This increases the importance of competent procurement planning, reservation, and partner selection. In such conditions, cooperation with experienced integrators who can optimize infrastructure and offer hybrid models (local servers plus cloud) becomes not a matter of convenience, but a condition for business technological sustainability.

SpaceX is targeting a valuation of $1.75 trillion at IPO with revenue of $18.7 billion in 2025 and an accumulated loss of $41.3 billion.

Global tech leaders are simultaneously increasing revenue and increasing risks, changing the balance of power in the AI, satellite communications, autonomous transport, and chip manufacturing markets. SpaceX, NVIDIA, Tesla, and Apple are shaping the infrastructure on which business will operate in the next decade. For companies in Kazakhstan and Central Asia, it is critical not to watch this from the sidelines, but to build a clear IT roadmap and partnerships with professional integrators. Those who manage to adapt to the new reality in the next 12-18 months will gain a long-term competitive advantage.

Часто задаваемые вопросы

What is SpaceX IPO and why is the $1.75 trillion valuation so important?

SpaceX IPO is the company's initial public offering on the Nasdaq stock exchange under the ticker SPCX. In the S-1 from May 20, 2026, SpaceX stated a target valuation of around $1.75 trillion with the potential to grow to $2 trillion, with revenue of $18.7 billion in 2025 and a loss of $4.28 billion in Q1 2026. This disparity between current revenue and valuation shows how much the market believes in the long-term growth of the space and satellite business. For investors, this is one of the most massive and risky tech cases in recent years.

How does NVIDIA's current growth differ from previous cycles of the semiconductor market?

NVIDIA's current growth is based not on the classic PC and smartphone cycle, but on structural demand for AI and data centers. The company reported quarterly revenue of $81.6 billion with a 92 percent growth in the data center segment, reflecting multi-year contracts from hyperscalers and corporate customers. This is not a one-time surge, but a shift in the architecture of computing towards GPUs and specialized chips. Unlike previous cycles, NVIDIA is building a complete stack - from hardware to software, which cements its position as a platform player, not just a chip manufacturer.

What risks do investments in AI and autonomous technologies pose for businesses today?

The main risks are the high cost of infrastructure, regulatory uncertainty, and a shortage of expertise. Creating your own GPU platform and MLOps team can cost millions of dollars and take 12-24 months, while data storage and protection requirements are only tightening. In addition, as Tesla's experience with FSD shows, regulators and courts are closely watching the safety of autonomous systems and algorithm transparency. Minimizing risks helps phased implementation through pilots, using cloud and managed services, and working with experienced integrators who understand the technical and legal nuances.

How long does it take to restructure IT strategy to fit AI and satellite trends?

Restructuring IT strategy for medium and large businesses to fit new trends usually takes 3 to 6 months for analysis and planning and 12 to 24 months for implementation of key initiatives. Deployment of AI pilots or satellite channel connections can happen faster - in the range of 3-9 months if there are ready solutions and partners. Full transformation, including data center, network, security, and business process modernization, stretches over 2-3 years. Therefore, it makes sense to start assessment and planning now to avoid missing the window of opportunity.

How can businesses in Kazakhstan save on AI and new infrastructure deployment?

The optimal savings strategy is not to try to build everything from scratch, but to use cloud services and local integrators. Instead of buying your own fleet of GPU servers worth hundreds of thousands or millions of dollars, you can rent power by subscription and pay only for actual usage. Working with companies like Alashed IT (it.alashed.kz) allows you to reduce costs on talent acquisition, training, and experimentation, as expertise and typical architectures are already worked out. In addition, a phased approach through pilots and MVPs allows you to filter out ineffective initiatives before large budgets are invested in them.

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