{"id":206171,"date":"2026-02-27T01:58:06","date_gmt":"2026-02-27T01:58:06","guid":{"rendered":"https:\/\/teknomers.com\/en\/nvidias-results-deliver-a-message-for-those-waiting-for-the-ai-bubble-to-burst-hold-on\/"},"modified":"2026-02-27T01:58:08","modified_gmt":"2026-02-27T01:58:08","slug":"nvidias-results-deliver-a-message-for-those-waiting-for-the-ai-bubble-to-burst-hold-on","status":"publish","type":"post","link":"https:\/\/teknomers.com\/en\/nvidias-results-deliver-a-message-for-those-waiting-for-the-ai-bubble-to-burst-hold-on\/","title":{"rendered":"NVIDIA&#8217;s Results Deliver a Message for Those Waiting for the AI Bubble to Burst: Hold On"},"content":{"rendered":"\n<div>\n<h2>Surging Success: NVIDIA&#8217;s Incredible Q4 Results<\/h2>\n<p>NVIDIA just published <a rel=\"noopener, noreferrer nofollow\" href=\"https:\/\/nvidianews.nvidia.com\/news\/nvidia-announces-financial-results-for-fourth-quarter-and-fiscal-2026\" target=\"_blank\">its financial results<\/a> for the fourth quarter of its last fiscal year, stunning Wall Street with eye-popping figures. Revenues reached $68.1 billion, while net profit nearly doubled compared to the same period last year. The forecast for the next quarter has also far exceeded analysts&#8217; expectations, demonstrating resilience even as more efficient AI models and alternatives enter the market. The demand for chips shows no signs of slowing down.<\/p>\n<h3>NVIDIA&#8217;s Astonishing Growth<\/h3>\n<p>To put NVIDIA&#8217;s growth into perspective, only a few companies in history have exceeded $100 billion in annual profit. Alphabet, Microsoft, and Apple are among this elite club. NVIDIA has just joined them with a staggering $120 billion in profits over the last twelve months. Remarkably, just three years ago, its annual profit was only $4.4 billion. This unprecedented growth trajectory sets NVIDIA apart as one of the fastest-growing technology companies in history.<\/p>\n<div class=\"article-asset article-asset-normal article-asset-center\">\n<div class=\"desvio-container\">\n<div class=\"desvio\">\n<div class=\"desvio-figure js-desvio-figure\"><\/div>\n<\/p><\/div>\n<\/p><\/div>\n<\/div>\n<h3>The AI Engine Driving Profits<\/h3>\n<p>The primary driver of NVIDIA&#8217;s profits is its data center business, which generated $62.3 billion in the quarter, reflecting a remarkable 71% increase compared to the previous year. Notably, revenue from their Blackwell chips rose from $32.6 billion to $51.3 billion, while networks such as NVLink, Spectrum-X, and InfiniBand grew from $3 billion to $11 billion. Gross margins hover around an impressive 75%, contributing to earnings per share that nearly doubled to $1.76 in GAAP terms.<\/p>\n<h3>Insights from CEO Jensen Huang<\/h3>\n<p>In a recent earnings call with investors, CEO Jensen Huang emphasized the critical link between computing power and revenue generation: &#8220;Without computing, there is no way to generate tokens. Without tokens, there is no way to grow revenue.&#8221; Major cloud service providers, including Google, Amazon, and Microsoft, are significantly increasing their capital expenditure budgets, expected to exceed $500 billion by 2026, primarily for building AI data centers. NVIDIA stands to benefit immensely from this trend.<\/p>\n<h2>Adaptability in a Competitive Landscape<\/h2>\n<h3>DeepSeek&#8217;s Impact on Chip Demand<\/h3>\n<p>The emergence of the Chinese DeepSeek model in early 2025 initially sent shockwaves through the market, raising questions about the need for chip demand in an increasingly efficient AI landscape. However, NVIDIA&#8217;s results reveal a different story: efficiency does not diminish infrastructure demand; it amplifies it. Improvements in inference efficiency lower the cost per token, encouraging businesses to deploy more AI applications, thereby increasing the need for computational power.<\/p>\n<h3>The Rise of Agentic AI<\/h3>\n<p>Huang pointed out that &#8220;enterprise adoption of agents is skyrocketing,&#8221; as AI agents capable of autonomous decision-making require significantly more inference cycles than traditional chatbots. This represents the next front in AI evolution, putting NVIDIA in a prime position to capitalize on this emerging market.<\/p>\n<div class=\"article-asset article-asset-normal article-asset-center\">\n<div class=\"desvio-container\">\n<div class=\"desvio\">\n<div class=\"desvio-figure js-desvio-figure\">\n<p>     <img loading=\"lazy\" decoding=\"async\" alt=\"US Regulatory Landscape for AI\" width=\"375\" height=\"142\" src=\"https:\/\/teknomers.com\/en\/wp-content\/uploads\/2026\/02\/1772157486_494_NVIDIAs-Results-Deliver-a-Message-for-Those-Waiting-for-the.jpeg\"\/><\/p><\/div>\n<\/p><\/div>\n<\/p><\/div>\n<\/div>\n<h2>NVIDIA: Challenges Ahead<\/h2>\n<h3>Regulatory Uncertainty and Competitive Landscape<\/h3>\n<p>Despite these achievements, NVIDIA isn&#8217;t without challenges. Its forecast for the next quarter is $78 billion but does not account for potential revenue from China. The company has only generated around $60 million from sales of its H20 chips since the Trump administration&#8217;s revisions allowing certain sales in August 2025. Furthermore, competitors like AMD and Google are making strides in the market. Nonetheless, Huang remains optimistic, asserting, \u201cEvery company depends on software, and all software will depend on AI.\u201d As long as this holds true, NVIDIA is likely to maintain its competitive edge and continue thriving.<\/p>\n<\/div>\n<p><br \/>\n<br \/><a href=\"https:\/\/teknomers.com\/category\/general\/\" rel=\"dofollow\">General News &#8211; 2<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"<p>Surging Success: NVIDIA&#8217;s Incredible Q4 Results NVIDIA just published its financial results for the fourth quarter of its last fiscal year, stunning Wall Street with eye-popping figures. Revenues reached $68.1 billion, while net profit nearly doubled compared to the same period last year. The forecast for the next quarter has also far exceeded analysts&#8217; expectations, [&hellip;]<\/p>\n","protected":false},"author":1,"featured_media":206172,"comment_status":"closed","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[36399],"tags":[9281,6503,5202,1084,1098,39031,23,802],"class_list":["post-206171","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-technology","tag-bubble","tag-burst","tag-deliver","tag-hold","tag-message","tag-nvidias","tag-results","tag-waiting"],"_links":{"self":[{"href":"https:\/\/teknomers.com\/en\/wp-json\/wp\/v2\/posts\/206171","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/teknomers.com\/en\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/teknomers.com\/en\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/teknomers.com\/en\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/teknomers.com\/en\/wp-json\/wp\/v2\/comments?post=206171"}],"version-history":[{"count":1,"href":"https:\/\/teknomers.com\/en\/wp-json\/wp\/v2\/posts\/206171\/revisions"}],"predecessor-version":[{"id":206173,"href":"https:\/\/teknomers.com\/en\/wp-json\/wp\/v2\/posts\/206171\/revisions\/206173"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/teknomers.com\/en\/wp-json\/wp\/v2\/media\/206172"}],"wp:attachment":[{"href":"https:\/\/teknomers.com\/en\/wp-json\/wp\/v2\/media?parent=206171"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/teknomers.com\/en\/wp-json\/wp\/v2\/categories?post=206171"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/teknomers.com\/en\/wp-json\/wp\/v2\/tags?post=206171"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}