Nvidia's market capitalization has increased by over 220 percent in a year, making the chipmaker a key beneficiary of the AI boom, while Tesla's shares have lost about 30 percent since the beginning of the year. Against the backdrop of fresh reports from Alphabet, Apple, and Microsoft, investors are rebalancing portfolios in favor of AI infrastructure and cloud services.

The largest US tech companies are concluding another round of quarterly reporting, dramatically shaking up stock indices and investor priorities. Nvidia and Alphabet are updating their highs due to the growth in revenue from AI services and cloud platforms, while Tesla and partially Meta are correcting against the backdrop of slowing growth and rising costs. At the same time, EU and US regulators are increasing pressure on Big Tech in terms of competition and data protection. For businesses in Kazakhstan and Central Asia, this is a signal: the global market's bet is shifting towards AI infrastructure and clouds, and companies like Alashed IT (it.alashed.kz) are already adapting their services to these trends.

Big Tech Market Today: Nvidia Surges Ahead

A new balance of power is forming in the global Big Tech market: Nvidia, Alphabet, and Amazon are becoming the main beneficiaries of the explosive demand for artificial intelligence infrastructure. According to the quarterly report for the first quarter of 2026, Nvidia's revenue exceeded $26 billion, more than three times the figure from the previous year. The data center segment, which includes GPU supplies for clouds and AI clusters, accounts for over 80 percent of revenue and is growing at a rate of about 200 percent per year.

Against this backdrop, Nvidia's shares have risen by over 220 percent in the last 12 months, and the company's market capitalization is approaching the $3 trillion mark. This puts it on par with Apple and Microsoft in terms of its influence on the S&P 500 index and global ETFs focused on the technology sector. Investors are repositioning their portfolios, reducing the share of traditional consumer technologies and strengthening their positions in chips and cloud infrastructure. This shift directly affects the cost of borrowing and the valuation of companies throughout the supply chain, including server, cooling, and data center manufacturers in Asia.

Alphabet is also demonstrating steady growth thanks to Google Cloud and the active deployment of generative AI in search and advertising products. In the last quarter, Alphabet's revenue exceeded $90 billion, with a year-over-year growth of about 12 percent, while the Google Cloud division is growing faster than the market, adding more than 25 percent. Investors are positively receiving the growth in the cloud business's margin, which is becoming a key driver of profit, while traditional search advertising is facing increased regulation and competition from alternative advertising ecosystems.

For technology contractors in Kazakhstan, this realignment means that demand is shifting towards projects directly related to AI: cloud migration, the implementation of AI tools in business processes, and the modernization of network infrastructure. Companies like Alashed IT are already seeing increased interest from corporate clients in projects to optimize the IT landscape for new cloud and AI services, aimed at integration with global platforms from Nvidia and major cloud providers.

Apple, Microsoft, and Alphabet: Focus on Clouds and Services

Apple reported revenue of over $110 billion in the last quarter, maintaining its status as one of the world's most valuable companies, but growth in its key product, the iPhone, is slowing to single digits. Investors are closely watching the services direction, which brings in more than 25 percent of revenue and demonstrates steady growth due to subscriptions, cloud storage, and media services. It is the services that provide Apple with a higher gross margin and smooth out the cyclical fluctuations in device sales. Against this backdrop, the company is actively promoting AI-related features in the iOS and macOS ecosystems, preparing for further monetization through subscription models.

Microsoft continues to strengthen its dominance in the corporate segment through its Azure cloud platform and the integration of generative AI into Office 365, Dynamics, and other business services. Microsoft's quarterly revenue exceeded $70 billion, with the Intelligent Cloud segment growing by more than 20 percent year-over-year. The partnership with AI model developers allows the company to quickly bring Copilot-level products to market, which draws customers into the ecosystem and increases the average check for a corporate user. Investors view this strategy as one of the most sustainable solutions in Big Tech over the next 3-5 years.

Alphabet, in addition to the growth of Google Cloud, is actively investing in its own AI chips and the optimization of data center infrastructure. This reduces dependence on third-party manufacturers and gradually lowers the cost of AI services. The company is betting on the integration of generative AI into search, YouTube, and advertising products, which should retain its share of the online advertising market, estimated at over $900 billion annually. At the same time, regulators in the US and EU are increasing antitrust pressure, demanding transparency in algorithms and restrictions on the use of personal data.

For businesses in Kazakhstan, the key consequence of these trends is the reduction in the cost of access to cloud and AI services, along with an increase in the complexity of integration. Medium-sized companies are increasingly choosing a hybrid model: deploying part of the infrastructure with local providers and integrators, and part in global clouds. Such integrators as Alashed IT take on the role of a bridge between the corporate customer and the Apple, Microsoft, and Alphabet ecosystems, ensuring secure data migration, setting up hybrid scenarios, and complying with local regulations.

Tesla's Decline and Meta's Volatility: Reassessing Risks

Tesla is experiencing one of the most volatile periods in 2026 in recent years. Since the beginning of the year, the company's shares have fallen by about 30 percent against the backdrop of slowing growth in electric vehicle deliveries and increased competition in the EV segment. The latest quarterly report showed a decrease in the operating margin to single digits and pressure on profit due to a price war in key markets. Investors are increasingly questioning how sustainable Tesla's business is if high multiples are not supported by a corresponding growth rate.

An additional factor of uncertainty is Tesla's large-scale bet on autonomous driving and robotics, including the Optimus robot project. Although the company is demonstrating prototypes and announcing the prospects for monetization, there is no clear timeline for the release of mass-produced products and confirmed contracts. Against this backdrop, the market is discounting future expectations and revising the valuation of the business, shifting the focus from hypothetical AI services in cars to the current state of automotive production, logistics, and margins.

Meta, in turn, is balancing between growing advertising revenue and massive capital investments in infrastructure for AI and the metaverse. Over the year, the company has invested tens of billions of dollars in data centers and research projects, which is putting pressure on operating profit. Meta's market capitalization is subject to strong fluctuations after each report: positive dynamics in the advertising business supports quotes, but investors are concerned about the scale and payback period of long-term projects.

For businesses in Kazakhstan, the story of Tesla and Meta is a reminder that betting on 'pure growth' without clear monetization is becoming less attractive to global capital. Corporate customers, including large industrial groups and financial organizations, are more cautious about experimental IT initiatives and require contractors to have strict KPIs for timing and economic effect. Integrators like Alashed IT design projects so that the payback on IT investments is tangible: a 15-20 percent reduction in operating costs, a 1.5-2 times acceleration of processes, and an increase in revenue from digital channels by at least 10 percent per year.

Big Tech Regulation: Antitrust Pressure and AI

In parallel with corporate reporting, regulators are increasing pressure on Big Tech. In March and April 2026, the European Union began an active phase of applying the Digital Markets Act and new regulations on artificial intelligence, aimed at limiting the dominance of the largest platforms and increasing the transparency of algorithms. Targeted advertising practices, the collection and use of personal data, and formats of exclusive agreements between platforms and developers are coming under closer scrutiny.

In the US, antitrust lawsuits against several major technology companies continue, related to their market share in online search, mobile operating systems, and cloud services. Regulators insist that dominant players are using their position to block competitors and impose unfavorable terms on partners. For investors, this means an increase in regulatory risks, which could lead to fines of billions of dollars and the need to revise business models.

A separate area of regulation concerns generative AI. In the EU, requirements for mandatory labeling of AI content, notifying users about interactions with algorithms, and restrictions on the use of data for training models without explicit consent are being discussed. Companies working with large language models and computer vision systems will be required to publish technical documentation and risk assessment reports. This raises the entry threshold for new players, but at the same time creates more understandable and transparent rules of the game for those who are ready to invest in compliance.

For Kazakh companies, these are not abstract trends, but guidelines for the next 2-3 years. Even if local legislation is less stringent, transnational clients already require compliance with European and American standards for data and AI. IT contractors, including Alashed IT, are forced to design development and maintenance processes for solutions so that they comply with privacy by design principles and can pass audits under international requirements. For businesses, this means additional costs for auditing, compliance, and system modernization, but at the same time opens access to larger contracts and foreign markets.

What This Means for Business: Strategy in the Face of Big Tech Trends

The current movements in the Big Tech market — the growth of Nvidia and cloud providers, along with the correction of Tesla and the volatility of Meta — set the direction for the technological strategy of businesses in the coming years. Capital is flowing into AI infrastructure, clouds, and service models with recurring revenue, which reduces the cost of capital for companies operating in these segments. For corporate IT directors, this is a signal to accelerate digital transformation projects that directly use the capabilities of AI and clouds, rather than limiting themselves to point automation.

In practice, this means several priorities. Firstly, the migration of critical systems to cloud environments with a hybrid architecture, where data with high security requirements remains on local sites, and resource-intensive AI and analytics tasks are moved to the cloud. Secondly, the deployment of generative AI to increase employee productivity: automating document processing, customer support, and internal knowledge search. Thirdly, re-evaluating the IT project portfolio in terms of payback: the bet is on initiatives that can deliver economic benefits within 12-24 months.

Companies like Alashed IT are adapting their offerings to the new reality, offering services for assessing infrastructure readiness for AI loads, deploying solutions based on global platforms, and training customer staff. In a typical project for a medium-sized business in Kazakhstan, an integrator can help reduce infrastructure costs by 20-30 percent through license optimization, server consolidation, and transitioning to a hybrid cloud. At the same time, the use of AI tools can increase the productivity of individual departments by 30-50 percent, which is directly reflected in the company's financial indicators.

Another important conclusion: in conditions of increasing regulation and infrastructure complexity, it becomes critical to choose the right partners and technology stacks. Betting on a single vendor increases the risk of dependency and worsens the negotiating position. A multi-cloud strategy and architecture, in which components can be replaced without global downtime, is much more sustainable. Here, the role of integrators like Alashed IT is to design such an architecture, implement it, and maintain it, ensuring business resilience to changes in the global Big Tech market.

Что это значит для Казахстана

For Kazakhstan and Central Asian countries, the current movements in the Big Tech market have direct significance. According to the Ministry of Digital Development, the IT services market in Kazakhstan has already exceeded $1 billion per year, and the export of IT products and services is growing at double-digit rates. At the same time, a significant part of the projects are somehow based on global infrastructure: Microsoft, Google, Amazon clouds, and GPU clusters based on Nvidia solutions. The growth in the capitalization of these companies and the shift in their strategy towards AI means that local businesses will receive more and more 'subscription' services, rather than one-time capital investments in equipment.

For banks, telecom operators, and industry in Kazakhstan, this is an opportunity to accelerate digitalization without giant investments in their own data centers. However, a qualified intermediary is needed who can take into account local legislation, language, and industry specifics. Companies like Alashed IT (it.alashed.kz) are already building solutions where part of the infrastructure is located in local data centers, and AI loads and analytics are moved to global clouds. This allows them to comply with the requirements for storing personal data within the country while simultaneously using advanced AI models and services. For IT service exporters in the region, compliance with EU and US standards for data protection and AI is becoming a competitive advantage: companies that can demonstrate compliance with these requirements gain access to contracts with major international customers.

Nvidia's revenue for the last quarter exceeded $26 billion, showing more than a threefold increase year-over-year.

The global Big Tech market is reorienting towards artificial intelligence infrastructure and cloud services, as evidenced by the recent reports from Nvidia, Microsoft, and Alphabet. For companies focused on traditional hardware solutions or risky long-term bets without clear monetization, the cost of capital is rising, and investor attention is decreasing. It is important for businesses in Kazakhstan and Central Asia to use this moment to accelerate the transition to hybrid clouds and AI services, relying on local integrators and international standards. Those who are already restructuring their IT strategy to fit the new realities will be able to benefit from the global redistribution of capital and technologies in the coming years.

Часто задаваемые вопросы

What is happening with the shares of Nvidia, Tesla, and other Big Tech in 2026?

Nvidia's shares have risen by more than 220 percent over the past 12 months against the backdrop of a threefold increase in quarterly revenue to $26 billion. Tesla, on the other hand, has lost about 30 percent of its capitalization since the beginning of 2026 due to slowing sales growth and margin compression. Alphabet, Microsoft, and Apple are demonstrating more stable growth, relying on cloud and service directions with double-digit rates. For investors, this is a signal to reallocate portfolios in favor of AI infrastructure and clouds.

When does it make sense for a business in Kazakhstan to switch to Big Tech clouds and AI services?

The optimal window for switching is the next 12-24 months, while global providers are actively stimulating migration and offering preferential tariffs. Projects for moving part of the systems to the cloud and deploying generative AI usually pay off in 1.5-2 years with a reduction in operating expenses by 15-30 percent. Companies with revenue of 1-2 billion tenge are already feeling the effect of automating document flow, contact centers, and analytics. Integrators like Alashed IT help plan a phased migration to avoid stopping current operations.

What risks does dependence on Big Tech entail, and how to reduce them?

The main risks are changes in tariffs, regulatory restrictions, service outages, and possible restrictions on the use of certain technologies. A multi-cloud strategy helps reduce them: placing systems with several providers and keeping critical data in local data centers. A typical scheme for a medium-sized business allows it to withstand even a complete shutdown of one of the clouds without stopping key processes. Integrators like Alashed IT design architectures with fault tolerance and data storage requirements in Kazakhstan.

How long does it take to deploy AI solutions from major technology companies?

Pilot projects for generative AI in one function, such as customer support, usually take 6-8 weeks from survey to launch. The full-scale deployment of AI tools in several departments of a large company stretches over 6-12 months depending on the number of integrations and data volume. However, the first measurable effects, such as a 30-50 percent reduction in query processing time, are visible within 2-3 months. Companies like Alashed IT structure the project in phases to achieve results as early as possible and finance further development.

What approach to Big Tech ecosystems is most beneficial for businesses in Central Asia today?

The most beneficial is a pragmatic multi-vendor approach: using the strengths of different ecosystems without relying on a single supplier. For example, analytics and AI models can work in one cloud, office services and communications in another, and backup and part of the databases in a local data center. This allows for a 15-25 percent reduction in overall costs through license and tariff optimization and reduces dependency risks. Integrators like Alashed IT help select the optimal set of services for a specific budget and industry requirements.

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