Core Insights - Digital wallets from Apple and Google are expected to evolve into comprehensive commerce platforms, enhancing consumer brand engagement through loyalty and marketing initiatives [2] - The future of wallets will see them becoming more dynamic and interactive, moving beyond just digitizing physical loyalty and gift cards to include a wider array of digital needs [3] Company Overview - Badge, a San Francisco-based startup founded in 2023, positions itself as the operating platform for mobile wallets, enabling features like push notifications, real-time updates, and geofencing for merchants [4] - Badge has raised a total of $17.1 million in funding, with a recent $13.8 million round led by TTV Capital, which will also see Lynne Laube join its board of directors [5] Industry Relationships - Badge maintains close relationships and formal partnerships with Apple and Google, providing customer feedback and suggestions for wallet functionalities [6] - The interaction between Badge and the tech giants involves a collaborative feedback loop, where suggestions from merchants are communicated to Apple and Google [7]

Core Insights - Nokia is expanding its Network as Code ecosystem by partnering with Google Cloud to integrate agentic AI capabilities, enabling programmable and consumable networks for enterprise agents [1][6] Partnerships and Collaborations - Over 75 partners, including major telecom providers like Deutsche Telekom, Globe, Orange, Rakuten, Tata Communications, Telefónica, TELUS, and Vodafone, are collaborating with Nokia to enhance network APIs [2][7] - Deutsche Telekom is utilizing Nokia's Network as Code platform to improve mobile-based authentication for sports applications, enhancing user experience [4] - Globe is leveraging Nokia's Network Exposure Platform to combat mobile banking fraud and is expanding its security solutions with the number verification API [5] - Orange has signed a framework contract to make its network APIs commercially available through Nokia's platform, focusing on identity and antifraud solutions [8] - Rakuten Mobile is exploring the use of Nokia's number verification API for advanced fraud prevention in digital security [9] - Tata Communications is integrating its global Network Fabric and eSIM capabilities into Nokia's platform to enhance programmable connectivity for IoT applications [10] - Telefónica is testing AI protocols with Nokia to simplify network capabilities and enable new monetization models [11] - TELUS is collaborating with Nokia to deploy network APIs for enhanced customer experiences during major events [12] - Vodafone has established agreements to offer its APIs via Nokia's platform, focusing on secure digital experiences in various sectors [13] Technological Advancements - Nokia's Network as Code platform provides developers with standardized access to APIs, facilitating innovation across industries such as banking, healthcare, automotive, and entertainment [3] - The integration of Google Cloud's agentic AI capabilities allows for intent-based, on-demand workflows that address network issues without coding or integration [6]

Investment Rating - The report maintains a "Buy" rating for several companies in the media and internet industry, including Giant Network, Perfect World, and Kuaishou, among others [4][32]. Core Insights - The media industry experienced a decline of 5.10% from February 23 to March 1, 2026, while the Shanghai Composite Index rose by 1.98% during the same period [1][11]. - The report highlights the strong performance of AI applications and cultural exports, with a focus on sub-sectors such as gaming, IP, short dramas, marketing, and publishing [4][32]. - The upcoming release of the game "Yihuan" on April 23, 2026, has garnered over 25 million pre-registrations, indicating strong market interest [24][32]. Market Performance - The media industry (Shenwan) saw a decline of 5.10% from February 23 to March 1, 2026, while the Shanghai Composite Index increased by 1.98% [1][11]. - Sub-sectors such as gaming, television broadcasting, and film exhibited declines of -3.41%, -0.77%, and -16.82%, respectively [1][11]. Industry Key Data AI Applications - The OpenRouter platform recorded a weekly token call volume of 13.6 trillion, with a 2.86% decrease from the previous week [2][16]. - Major AI models such as MiniMax M2.5 and Gemini 3 Flash Preview ranked among the top five in token calls, with three Chinese models making the list [2][16]. Gaming Data - The top five mobile games on iOS in China as of February 28, 2026, included "Honor of Kings" and "Peacekeeper Elite" [3][19]. - A total of 146 domestic games and 6 imported games received approval in the latest batch of game licenses [21]. Film Data - The total box office for domestic films reached 2.386 billion yuan during the week of February 23 to March 1, 2026 [26][29]. - The top film for the week was "Fast and Furious 3," which earned 1.138 billion yuan, accounting for 47.6% of the total box office [26][29]. Industry Events and Announcements - Google released its flagship model Gemini 3.1 Pro, which outperformed other models in benchmark tests [30]. - Kunlun Wanwei launched the SkyReels V4 model, a multimodal video generation model that supports various input types and tasks [30]. Investment Recommendations - The report recommends focusing on themes such as AI applications and cultural exports, with specific attention to companies like Giant Network, Perfect World, and Kuaishou [4][32].

Market Performance - The Nasdaq 100 index experienced a monthly decline of 2.32% in February 2026, with a total trading volume of approximately $53.456 billion[10] - As of February 27, 2026, the Nasdaq 100 index's PE-TTM was 33.88, positioned at the 77.16% historical percentile since 2011, down from 89% on January 30, 2026, indicating a high valuation relative to historical standards[15] - The risk level of the Nasdaq 100 index was 42.60 as of February 27, 2026, a decrease from 75.97 on January 30, 2026, suggesting a potential adjustment phase ahead[18] Macro and Policy Analysis - In February 2026, macroeconomic data presented a mixed picture, with the ISM manufacturing index rebounding to 52.6, delaying interest rate cut expectations, while inflation concerns persisted due to a core PCE increase to 3.0%[21][28] - The geopolitical landscape, particularly the U.S.-Iran situation, fluctuated between negotiation and military tension, impacting market risk sentiment[31] - Policy dynamics showed a tug-of-war between Trump's calls for significant interest rate cuts and the Federal Reserve's hawkish stance on inflation risks, leading to increased market volatility[33] Industry Trends - The technology sector faced a cycle of panic, skepticism, and recovery in February 2026, with initial fears over AI's impact on SaaS leading to significant sell-offs, followed by a recovery narrative emphasizing collaboration over replacement[12][14] - Key earnings reports from major tech firms like Nvidia and Google indicated substantial capital expenditure increases, yet market reactions were mixed due to concerns over sustainability[12][14] Future Outlook - The Nasdaq 100 index is expected to experience volatility in March 2026, influenced by macroeconomic data releases, FOMC meetings, and ongoing geopolitical tensions, particularly regarding oil prices and inflation assessments[21][31] - Upcoming events, including the FOMC meeting and earnings reports from major tech companies, will be critical in shaping market sentiment and expectations for interest rate adjustments[21][31]

Summary of Key Points from the Conference Call Industry Overview - The Internet sector is experiencing significant pressure, down 17% year-to-date (YTD), underperforming the S&P 500, which is up 1% [1][7] - Mixed 4Q results were reported, with revenue estimates for 2027 increasing by an average of 1%, while EBITDA estimates rose by 3%. However, EPS estimates saw a decline of 1% due to rising capital expenditures and investment spending [1] - 59% of the coverage group had positive revenue revisions for 2027, while 51% had positive EBITDA and EPS revisions [1] AI and Its Impact - AI usage is growing, but its current impact on traffic to eCommerce sites is limited, contributing only 0.2% to Booking, 0.3% to Expedia, 0.1% to DoorDash, and 0.2% to Amazon's overall web traffic as of January 2026 [12][65][66][67] - The risk associated with growing Agentic AI usage includes potential cannibalization of direct traffic and ad revenue, increased distribution costs, and the emergence of disruptive competition [2][20] - Despite the limited current traffic from AI, the expectation is that as AI capabilities improve, consumer behavior will shift towards using AI agents for discovery and purchasing [20] Google and OpenAI Developments - Google and OpenAI are ramping up their Agentic capabilities, with Google launching an agentic checkout pilot and adding various retail partners [3][23] - Google's monetization strategy appears to be ad-driven rather than commission-based, which may favor companies with superior user experiences and loyalty programs [3][29] - OpenAI has introduced the Operator agent, which can navigate websites and execute online tasks on behalf of users, indicating a shift towards more integrated AI functionalities in eCommerce [32] Valuation and Market Performance - The Internet sector is currently valued at 10x 2027 EBITDA, significantly below the 5-year average of 16x [4][43] - Small-cap Internet stocks are valued even lower at 7x EBITDA, indicating a substantial discount compared to historical averages [4] - Companies like DoorDash, Take-Two, and Chewy are viewed as least threatened by AI disruptions, with minimal revenue revisions and significant YTD declines [4][36] Consumer Behavior and Market Trends - AI is seen as a positive driver for online penetration, with eCommerce growth accelerating to 9% in January 2026, up from 3% in January 2025 [8][9] - The trend indicates that while AI is enhancing online activity, the direct impact on traffic to specific eCommerce platforms remains limited [12][20] - Companies are increasingly investing in their own AI capabilities to enhance customer service and maintain competitive advantages [22] Risks and Future Outlook - The primary risks include potential margin pressure for vertical eCommerce sites and the challenge of replicating high-quality customer service and fulfillment [22][20] - Companies are expected to fortify their competitive positions through investments in AI capabilities, pricing strategies, and improved service offerings [22] - The future of eCommerce may see a shift towards AI-driven advertising models, which could change the landscape of online marketing and consumer engagement [21][29] Conclusion - The Internet sector is currently facing challenges due to AI-related risks and market pressures, but there are opportunities for growth through enhanced online penetration and strategic investments in AI capabilities. Companies that can adapt to these changes and maintain high service levels are likely to thrive in the evolving landscape.

Consumer Sector - During the Spring Festival of 2026, the average daily revenue from national catering consumption increased by 31.2%, significantly surpassing the overall consumption growth rate of 13.7%[4] - The average daily sales of key retail and catering enterprises monitored by the Ministry of Commerce grew by 5.7%, accelerating by 1.6 percentage points compared to 2025[4] - In terms of consumption types, the growth rate for dining services was 26.5%, while snack services experienced explosive growth of 42.1%[7] Hard Technology - Global capital expenditure by the eight major cloud service providers (CSPs) is expected to exceed $710 billion in 2026, representing a year-on-year growth of approximately 61%[13] - Google's self-developed TPU chips are projected to account for nearly 78% of its AI server shipments in 2026, widening the gap with GPUs[14] - The global Datacom CPO market is expected to grow from less than $70 million in 2024 to $8 billion by 2030, with a compound annual growth rate exceeding 120%[18] Health Sector - AI drug discovery can reduce the time and cost of drug development by up to 50% during preclinical and clinical stages[23] - The global AI pharmaceutical market is projected to reach $15.6 billion by 2025, with a compound annual growth rate of 25.7% from 2025 to 2030[24] - Companies with AI model development capabilities, such as InSilico Medicine and CrystalGenomics, are recommended for investment[26]

Core Viewpoint - Investors are looking to capitalize on growth trends in artificial intelligence (AI) and digital advertising by considering investments in Alphabet and The Trade Desk [1] Group 1: Alphabet's Performance - Alphabet reported exceptional fourth-quarter financial results with revenue rising 18% year over year to $113.8 billion, an acceleration from 16% growth in the previous quarter [5] - The company's Google Cloud revenue increased 48% year over year to $17.7 billion, benefiting from the adoption of AI infrastructure [7] - Net income soared 30% year over year to $34.5 billion, reflecting strong operating leverage and cost discipline [8] Group 2: The Trade Desk's Challenges - The Trade Desk reported revenue of $847 million, up 14% year over year, but growth is slowing compared to previous quarters [9] - Guidance for first-quarter revenue suggests a material step-down to about 10% year-over-year growth, indicating worsening momentum [12] - Despite generating substantial free cash flow and maintaining a debt-free balance sheet, the deceleration in top-line growth is concerning [13][14] Group 3: Comparative Valuation - The Trade Desk trades at about 27 times earnings, while Alphabet, despite faster growth and a more diversified business, trades at a similar valuation of 28 times earnings [15] - Alphabet is viewed as the better investment due to its diverse business model and rapidly growing cloud computing segment [16]

Core Viewpoint - The article provides insights into the holdings of various well-known investment institutions as of December 31, 2025, highlighting significant positions, increases, and decreases in their portfolios [3][5][10][13][15][17][21][23]. Group 1: Major Holdings - Baillie Gifford has a portfolio consisting of 265 companies with a total market value of $120 billion [5]. - Berkshire Hathaway holds 42 companies with a market value of $274 billion [10]. - Ark Invest, led by Cathie Wood, has 200 companies in its portfolio valued at $15.1 billion [13]. - David Tepper's holdings include 39 companies with a market value of $6.93 billion [17]. - Hillhouse Capital, managed by Zhang Lei, has 33 companies valued at $3.1 billion [21]. Group 2: Increased Holdings - Baillie Gifford's significant increases include positions in Nvidia (6.80%) and Datadog [6]. - Berkshire Hathaway increased its stake in Chevron (22.6%) and Apple [11]. - Ark Invest has notably increased its holdings in Tesla (8.7%) and CoreWeave [14]. - David Tepper has increased his positions in Micron Technology and Korean ETFs [17]. - Hillhouse Capital has increased its stake in Alibaba (39.17%) and Pinduoduo [21]. Group 3: Decreased Holdings - Baillie Gifford has reduced its holdings in several companies, including Axon and Cloudflare [6][7]. - Berkshire Hathaway has decreased its positions in Apple and American Express [11]. - Ark Invest has reduced its stake in Tesla and Palantir [14]. - David Tepper has decreased his holdings in Alibaba and AMD [17]. - Hillhouse Capital has reduced its positions in various companies, including Futu Holdings [21].

Investment Rating - The report maintains a "Positive" outlook on the supernode and Scale-up network industry, highlighting its rapid development and potential as a key infrastructure for AI applications [2]. Core Insights - The supernode and Scale-up network are critical infrastructures that break through computing and communication bottlenecks, supporting trillion-level large models and high real-time applications. The report analyzes the progress and advantages of leading AI computing chip manufacturers, including NVIDIA, Google, AMD, and Huawei, in this field [4][24]. Summary by Sections 1. NVIDIA - NVIDIA's leading advantage in supernode technology is based on NVLink and NVLink Switch. The company plans to launch several mature supernode solutions, including GH200 NVL72 and GB200/GB300 NVL72, with an expected shipment of approximately 2,800 units by 2025 [5][6]. - The NVLink technology enables high bandwidth and low latency data transmission, with NVLink 5 Switch supporting a single GPU-to-GPU bandwidth of 1,800 GB/s and a total bandwidth of 130 TB/s for 72 GPUs [6][40]. - Future developments include the introduction of the Vera Rubin NVL144 and Rubin Ultra NVL576, which will increase the number of interconnected GPUs from 72 to 576 [5][6]. 2. Huawei - Huawei has introduced the Lingqu protocol, transitioning to an open standard from version 2.0, although it has not yet gained widespread acceptance in the domestic industry. The company aims to catch up with NVIDIA in supernode performance through a clustered approach [7][8]. - The Atlas 950 supernode, expected to be released in Q4 2026, will have a total computing power of 8 EFLOPS (FP8) and a memory capacity of 1,152 TB, significantly surpassing NVIDIA's offerings [7][8]. 3. Google - Google has established a mature optical interconnect supernode with its TPU series, including TPU v4, TPU v5p, and TPU v7, which have been recognized by external enterprises [9][10]. - The competitive advantage of Google's TPU supernode lies in its unique application of optical circuit switches (OCS), which creates a high barrier to entry in the optical interconnect field [9][10]. 4. AMD - AMD's UALink has become an important open standard, with the 1.0 version released in January 2025 and the 2.0 version expected in 2026. The UALink ecosystem is anticipated to see significant development by 2027, with over 100 member units supporting it [11]. - The Helios rack from AMD is positioned as a strong competitor to NVIDIA's NVL72 series, featuring a dual-width design that balances complexity, reliability, and performance [11]. 5. Investment Strategy - The report suggests a positive outlook for Google, AMD, and domestic supernode manufacturers, as well as for NVIDIA's supply chain, including PCB backplanes, high-speed copper cables, optical modules, and cooling systems [13][14]. - The market is expected to continue reassessing the value of Google, AMD, and domestic supernode sectors as competition intensifies [13].

Group 1: Market Reactions - The U.S. stock market experienced a significant drop at the opening but rebounded strongly, with the Nasdaq and S&P 500 closing higher, while the Dow Jones saw a slight decline of 0.15% [4] - Major tech stocks mostly rose, with Nvidia increasing by approximately 3% and Microsoft by over 1%, while Google fell by more than 1% [4] - Investors showed a tendency to buy on dips, indicating a belief that the disruptions caused by the conflict may be temporary [4] Group 2: Geopolitical Developments - The Iranian Revolutionary Guard announced the closure of the Strait of Hormuz, threatening to attack any vessels attempting to pass through [9] - U.S. President Trump stated that he does not rule out deploying ground troops to Iran if necessary, and indicated that military actions could last for four to five weeks, with preparations for a longer duration [8] - The U.S. military confirmed that six American soldiers have died in the ongoing military actions against Iran [8] Group 3: Energy Market Impact - The closure of the Strait of Hormuz has led to significant disruptions in global oil pricing, with S&P Global Energy halting transactions for certain oil grades that require passage through this critical waterway [11] - Approximately 750 vessels are currently stranded near the Strait, with container ships making up about 100 of them, affecting around 10% of the global container fleet [10] - The International Transport Workers' Federation has classified the area as a "high-risk zone," necessitating enhanced protections for seafarers [10]