Welcome back, AI enthusiasts!
In today’s Daily Report:
🚀 Microsoft’s Scaling AI Inference to Power Next-Gen AI
💻 U.S. Workers View AI as Irrelevant to Their Work?
📍AI Tier Tracker
🛠Trending Tools
🥪Brief Bites
💰Funding Frontlines
💼Who’s Hiring?
Read Time: 3 minutes
🗞RECENT NEWS
MICROSOFT
🚀 Microsoft’s Scaling AI Inference to Power Next-Gen AI
Image Source: YouTube/Microsoft Azure/“Microsoft Azure Maia 200: Scott Guthrie EVP”/Screenshot
Microsoft introduced “Maia 200,” a specialized computer chip that enables language models to comprehend massive amounts of information all at once.
Key Details:
A context window refers to the number of tokens a language model like ChatGPT, Claude, or Gemini can process when generating a useful response. A token is a word or part of a word. For example, “yesterday” might be broken into three tokens: “yes,” “ter,” and “day.”
AI inference refers to how well a language model can apply the information it was trained on to generate a useful response. AI inference becomes more challenging as the context window expands.
In other words, the more information you give a language model to work with, the harder it becomes for that language model to quickly, accurately, and consistently generate a useful response.
So, why does this happen?! When language models process huge amounts of tokens, they hit a computational wall, primarily because it rapidly exhausts the memory and bandwidth of GPUs.
“Maia 200” solves this computational bottleneck by combining everything into a single, super-efficient specialized computer chip that’s optimized for AI inference. It’s built on 3nm technology, providing higher transistor density to deliver more computing power with faster processing speeds.
Why It’s Important:
“Maia 200” enables language models to process significantly larger amounts of tokens while maintaining continuous context without compromising on speed or accuracy.
Today’s language models are also getting bigger, faster, and hotter. This heat forces specialized computer chips to slow down or “throttle.” Microsoft’s new “Microfluidics” keeps them much cooler, helping them run faster and longer without overheating.
AI RESEARCH
💻 U.S. Workers View AI as Irrelevant to Their Work?
Image Source: Canva’s AI Image Generators/Magic Media and AI Image Upscaler
Gallup published “AI In the Workplace,” revealing that AI adoption among U.S. workers is starting to plateau, with nearly half reporting they don’t even use AI.
Key Details:
12% of U.S. workers are classified as “daily AI users,” consistently leveraging AI to improve productivity, efficiency, and quality.
26% of U.S. workers are classified as “frequent AI users,” applying AI to corporate workflows multiple times throughout the workweek.
49% of U.S. workers report “never using AI.” The most significant reason for non-use is a perceived lack of utility.
U.S. workers in the service industry and manual sectors view AI as a “white-collar desk tool.” In Retail, 67% have never used AI. In Manufacturing, 57% have never used AI.
While nearly 48% of companies have adopted AI, more than 21% of U.S. workers report being unaware of their company’s AI adoption, suggesting there’s limited upskilling paired with lackluster leadership.
Why It’s Important:
The benefits of applying AI in the workplace aren’t always obvious. The most common AI adoption challenge is “an unclear use case.” Only 16% of U.S. workers strongly agree AI supplied by their company was beneficial for their work.
U.S. workers with managers who actively “support AI use” are 8.8x more likely to believe AI enhances their ability to perform at their best. This phenomenon is known as the “Manager Multiplier,” which underscores the importance of providing structural permission to experiment with transformative technologies to boost performance.
THE STOCK MARKET
📍AI Tier Tracker
TIER 0: ENERGY Vistra Corp. |
|---|
TIER 1: SILICON Arm Holdings Plc. |
TIER 2: DATA CENTERS WhiteFiber, Inc. |
TIER 3: AI MODELS Alibaba Group Holdings Ltd. |
TIER 4: SOFTWARE STACK MongoDB, Inc. |
TIER 5: AI AGENTS ServiceNow, Inc. |
🔔CLOSING BELL: As of 1/26/2026 market close.
💡STOCK SPOTLIGHT: Each tier showcases a new stock every day.
🛠TRENDING TOOLS
🦀Clawdbot is the AI that actually does things.
📊Datastripes converts data into visual stories.
🍿MovArt AI transforms ideas into cinema, instantly.
👥Linkdify amplifies your LinkedIn outreach by 100x.
🐝buzzabout analyzes social media trends for marketers.
🧰 Browse our Always Up-To-Date AI Toolkit.
🥪BRIEF BITES
Anthropic expanded “Claude for Excel,” enabling Claude to provide cell-level citations, handle nested formulas, and manage multiple tab dependencies.
NVIDIA has invested another $2 billion in “CoreWeave, Inc.,” accelerating the development and deployment of more than 5 GW of AI capacity by 2030.
NVIDIA launched “NVIDIA Earth-2,” which analyzes atmospheric patterns to accurately predict local and global weather forecasts up to 15 days in advance.
IBM published “The enterprise in 2030,” outlining five strategic shifts enterprises must embrace as AI investments surge by roughly 150% from 2025 to 2030.
💰FUNDING FRONTLINES
💼WHO’S HIRING?
📒FINAL NOTE
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