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Microsoft Warns of AI Capacity Constraints Despite $80B Infrastructure Investment
Despite the reported slowdowns, A company spokesperson said Microsoft's plan to spend over $80 billion this year is still on course, emphasizing the company's need to adapt as artificial intelligence workloads drive evolving infrastructure demands.
Hey everyone,
Just a quick heads-up: Intel is cutting over 21,000 jobs (20% of its global workforce) ahead of its Q1 earnings call. This massive reduction comes as newly appointed CEO Lip-Bu Tan takes aggressive action to address the company's challenges in the competitive semiconductor landscape. The layoffs represent one of the largest workforce reductions in Intel's history and signal potential strategic shifts for the chipmaking giant as it confronts market pressures.
What’s inside today’s newsletter:
🌐 Tech Pulse: Microsoft Launches New Phi 4 Open AI Models Rivaling OpenAI's Performance
🔐 Prompt Vault: Idea to Product in 60 Seconds
5 New Tools on the Block
🔎 Spotlight: Microsoft Warns of AI Capacity Constraints Despite $80B Infrastructure Investment
✅ To-dos
🌐 Tech Pulse
AI Advancements
Microsoft Launches New Phi 4 Open AI Models Rivaling OpenAI's Performance
Microsoft has unveiled several new permissively licensed AI models, with its most capable Phi 4 reasoning plus matching OpenAI's o3-mini on the OmniMath benchmark despite having significantly fewer parameters.
JetBrains Enters AI Race with Mellum, an Open AI Coding Model
Developer tools company JetBrains has released its first open AI model specifically designed for coding, joining the increasingly competitive AI development space.
OpenAI's GPT-4.1 Shows Superior Coding Capabilities
OpenAI's recently released GPT-4.1 family of models demonstrates exceptional coding abilities, scoring 55 percent on the SWEBench benchmark and outperforming previous iterations in following complex instructions.
Meta Launches Standalone AI App to Challenge ChatGPT
Meta has unveiled its own AI application merging its assistant with a social media stream, focusing primarily on voice interactions as it enters the increasingly competitive AI assistant market.
Big Tech Financial Performance
Microsoft Reports Strong Q3 with Cloud Revenue Reaching $42.4 Billion
Microsoft announced Q3 fiscal 2025 earnings with total revenue of $70.1 billion (up 13%) and cloud revenue growth of 20%, exceeding Wall Street expectations as Azure experienced robust 33% growth.
Epic Games Scores Major Legal Victory Against Apple
Epic Games has won a significant battle in its ongoing legal dispute with Apple, potentially allowing Fortnite to return to the U.S. iOS App Store after a prolonged absence.
Startup Ecosystem
AI Sales Tax Startup Kintsugi Doubles Valuation to $150 Million
Kintsugi, which helps companies automate sales tax compliance, raised $18 million in new funding and secured a commercial partnership that doubled its valuation in just six months, boasting profit margins over 93%.
Cast AI Secures $108M to Optimize AI and Kubernetes Workloads
Cast AI has raised a substantial funding round to further develop its solutions for maximizing efficiency in AI, Kubernetes, and other cloud workloads.
Duolingo Launches 148 AI-Created Language Courses
Following its controversial plans to replace human contractors with AI, language learning platform Duolingo has introduced 148 new courses created using generative AI technology.
Gruve.ai Promises to Disrupt Tech Consulting with AI
Startup Gruve.ai is challenging the decades-old tech consulting industry model by promising software-like margins through AI-powered consulting services.
Tech Industry Layoffs
Intel Plans Massive 20% Workforce Reduction
Intel announced it will lay off more than 21,000 employees, representing approximately 20% of its global workforce, ahead of its Q1 earnings call under recently appointed CEO Lip-Bu Tan.
Meta Reduces Reality Labs Division by Over 100 Employees
Meta is cutting jobs in its Reality Labs division, affecting employees developing VR experiences for Quest headsets and staff working on hardware operations.
Tech Layoffs Continue Across Multiple Companies
Several companies announced staff reductions, including Expedia (3% of employees), Turo (150 positions), GupShup (200 employees), and Cars24 (200 in product and technology divisions).
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🔐 Prompt Vault: Idea to Product in 60 Seconds

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🔧 New Tools on the Block
Salespeak - Website AI Grader that tests your website's AI compatibility, helping you optimize your online presence for AI systems and ensure your content is properly indexed and understood by artificial intelligence technologies.5
Podpod - A versatile tool that turns any content into a podcast, allowing you to transform articles, blog posts, and other written materials into audio format to reach audiences on the go.5
Strawberry AI - An AI-powered browser that claims to save you 18 hours per week by automating repetitive tasks, streamlining your workflow, and enhancing your browsing experience with intelligent assistance.1
RightNow AI V2 - An updated version of the AI assistant that provides real-time solutions and support for various productivity and business needs.1
PageOn.AI 2.0 - A cursor for visual communication that goes beyond traditional slides, helping you create more engaging and interactive presentations to better connect with your audience.
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🔎 Spotlight: Microsoft Warns of AI Capacity Constraints Despite $80B Infrastructure Investment

TechCrunch
Microsoft's CFO Amy Hood has cautioned that customers might face AI service disruptions as early as June, despite the company's massive $80 billion investment in infrastructure. The warning comes as demand for AI computing resources continues to outpace Microsoft's ability to bring new data centers online, creating a bottleneck in the rapidly expanding AI services market.
Why It Matters
This capacity crunch at one of the world's largest cloud providers signals deeper challenges facing the entire AI industry. Even with Microsoft's enormous financial resources and technical expertise, the company is struggling to keep pace with exploding demand for AI computing power. This situation could:
Slow AI adoption across industries as companies face delays in accessing necessary computing resources
Drive up prices for AI compute as demand significantly exceeds supply
Accelerate the race to build more energy-efficient AI models that require less computational power
Potentially create competitive opportunities for cloud providers who can address capacity issues more effectively
Raise questions about the sustainability of AI's current growth trajectory and energy requirements
The warning also highlights the massive infrastructure challenges behind seemingly effortless AI services, suggesting that physical constraints could become as important as algorithmic advances in determining AI's near-term evolution.
Source: TechCrunch
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✅ To-dos
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