Supreme Court Strikes Down Trump's Tariffs, Impacting Markets
Written by Emily J. Thompson, Senior Investment Analyst
Updated: Feb 20 2026
0mins
Should l Buy AKAM?
Source: Benzinga
- Tariff Ruling Impact: The Supreme Court's decision to strike down Trump's global tariffs led to a 0.4% decline in the Russell 2000, indicating negative sentiment towards small-cap stocks while boosting internationally exposed equities.
- Legal Basis: The Court ruled that the International Emergency Economic Powers Act does not grant the president the authority to impose tariffs, emphasizing that only Congress holds this power during peacetime, leaving unresolved issues regarding over $130 billion in tariffs already collected.
- Market Reaction: The ruling intensifies competitive pressures on small-cap firms that previously benefited from elevated import duties, reflecting investor concerns about domestic economic stability amid increasing foreign competition.
- Macroeconomic Context: The U.S. GDP growth rate for Q4 2025 was just 1.4%, significantly below the expected 3%, while the Personal Consumption Expenditures index rose by 0.4%, indicating rising inflationary pressures that further affect market sentiment.
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Analyst Views on AKAM
Wall Street analysts forecast AKAM stock price to rise
11 Analyst Rating
6 Buy
5 Hold
0 Sell
Moderate Buy
Current: 102.110
Low
89.00
Averages
103.73
High
115.00
Current: 102.110
Low
89.00
Averages
103.73
High
115.00
About AKAM
Akamai Technologies, Inc. is a cybersecurity and cloud computing company. The Company develops and provides solutions for global enterprises to build, secure and accelerate their applications and digital experiences. Akamai Connected Cloud, the Company's platform, is comprised of an edge and cloud architecture and underlying network for cloud computing, security and content delivery services. Its cloud computing services include compute, storage, networking, database and container management services that are required to build, deploy and secure applications and workloads. Its security solutions are designed to keep infrastructure, websites, applications, application programming interfaces and users safe from a multitude of cyberattacks and online threats while improving performance. Its content delivery solutions consist of Web and mobile performance focused solutions and media delivery solutions. It also provides services and support for its customers as they utilize its solutions.
About the author

Emily J. Thompson
Emily J. Thompson, a Chartered Financial Analyst (CFA) with 12 years in investment research, graduated with honors from the Wharton School. Specializing in industrial and technology stocks, she provides in-depth analysis for Intellectia’s earnings and market brief reports.
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- Technical Infrastructure: The GPU cluster will be hosted in a data center designed for efficient, high-density power capacity, combined with an AI-optimized Ethernet networking platform that ensures efficient connectivity for large-scale AI factories and GPU-accelerated computing, enhancing overall computational performance.
- Global Infrastructure Expansion: Akamai has rapidly expanded its global IaaS footprint to 41 data centers, leveraging relationships with multiple data center partners to drive growth, further enhancing its AI inference and generalized compute capabilities to meet market demand.
- Strategic Investment Significance: Akamai COO Adam Karon stated that this $200 million commitment validates their strategy to build a global platform for the entire AI lifecycle, aiming to provide a reliable foundation for customer AI workloads and enhance enterprise competitiveness in the AI sector.
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- Acquisition of NVIDIA GPUs: Akamai has purchased thousands of NVIDIA Blackwell GPUs to enhance its global distributed cloud infrastructure, aiming to improve capabilities in AI R&D, fine-tuning, and post-training optimization, thereby increasing overall computational efficiency.
- Unified Platform Development: This deployment creates a unified platform that intelligently routes AI inference workloads to optimized compute resources, significantly reducing latency and data egress issues, which enhances user experience.
- AI Inference Cloud Strategy: Akamai's recent launch of the AI Inference Cloud redefines how AI is utilized by bringing it closer to users and devices, with projections indicating a 45%-50% revenue growth in CIS for 2026.
- Optimistic Market Outlook: With the momentum of the AI Inference Cloud accelerating, Akamai is positioned favorably in future market competition, further solidifying its leadership in the AI and cloud computing sectors.
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- Acquisition of NVIDIA GPUs: Akamai has announced the acquisition of thousands of NVIDIA Blackwell GPUs to enhance its global distributed cloud infrastructure, aiming to create a unified platform for AI R&D that improves the efficiency of AI inference workloads.
- Latency Reduction: The new architecture supports rapid inference by reducing latency and data egress issues associated with centralized data centers, addressing the primary barrier faced by 56% of organizations in AI deployment, thereby enhancing the company's competitive position in the inference era.
- Localized Optimization: Akamai's GPU clusters enable on-site optimization of large language models, ensuring data privacy and regional compliance, which further enhances the company's flexibility and adaptability in AI applications.
- Cost Savings: Compared to traditional hyperscaler infrastructure, Akamai's AI inference platform can reduce latency by up to 2.5 times, helping businesses save as much as 86% on AI inference costs, significantly improving return on investment.
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