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- Apple placing a $500B bet on AI.
Apple placing a $500B bet on AI.
What AI model should you choose for each business use case?

Welcome to another version of The AI Business!
This week, we have:
● Apple’s $500 billion bet on AI and American manufacturing.
● AI startups raising crazy money.
● 100 ChatGPT prompts to transform your work efficiency. (FREE)
● The latest updates from the big AI models.
● What AI model should you choose for each business use case?
AI news
AI Startups Raising Fundings Like Never Before: Discover The Latest AI Business News of The Week:

● Apple’s $500 Billion Bet on AI and American Manufacturing: Apple is investing over $500 billion in AI and manufacturing across the U.S., including a Houston-based facility to assemble servers supporting Apple Intelligence. The company will also double its manufacturing fund, expand data centers, and launch an academy in Detroit to train manufacturers and advance R&D. (Read Article)
● South Korea Seals $35 Billion Deal to Build The Largest AI Data Center: Governor Kim Yung-Rok signed a $35 billion agreement in the U.S. to develop South Korea’s largest AI data center, marking a major public-private partnership. Construction begins this year, with projections of $3.5 billion in annual revenue and collaborations with Stanford and Kentech University on energy and technology research. (Read Article)
● AI Cybersecurity Startup Dream Secures $100M, Hits $1.1B Valuation: AI cybersecurity startup Dream raised $100 million in a Series B round to enhance its AI-driven defense and global expansion. Founded by former Austrian Prime Minister Sebastian Kurz and cyber experts, the company develops predictive AI models to counter evolving cyber threats and protect national security. (Read Article)
● AI Startup Raises $30M to Revolutionize Finance with Agentic AI: Zurich-based Unique secured $30 million in Series A funding to expand its AI-powered financial services automation globally, with a focus on the U.S. The platform provides intelligent AI agents for banking, insurance, and private equity, streamlining research, compliance, and due diligence for major Swiss financial institutions. (Read Article)
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AI Tools Updates
AI Models Are In a War: These Are The Newest Updates From The AI Big Players:

● OpenAI Introduces GPT-4.5 ‘Orion,’ Its Most Advanced AI Yet: OpenAI has launched GPT-4.5, a larger and more powerful AI model with improved reasoning, emotional intelligence, and creative capabilities. While outperforming previous models in many areas, it remains expensive to run and falls short of some emerging reasoning models, positioning it as a steppingstone toward the upcoming GPT-5. (Try Now)
● OpenAI Plans to Integrate Sora Video Generator into ChatGPT: OpenAI is working to bring its AI video generation tool, Sora, into ChatGPT, expanding its accessibility beyond the standalone web app. The move could attract more users to ChatGPT’s premium tiers while also advancing Sora’s capabilities, including potential AI-powered image generation and a standalone mobile app. (Read Article)
● ElevenLabs Enters Speech-to-Text Market with Scribe AI Model: AI audio startup ElevenLabs has launched Scribe, its first standalone speech-to-text model supporting over 99 languages with high accuracy. Competing with OpenAI’s Whisper and Google Gemini, Scribe offers speaker diarization, word-level timestamps, and auto-tagging, with plans to introduce real-time transcription soon. (Try Now)
● OpenAI Expands Deep Research Tool to More ChatGPT Subscribers: OpenAI is rolling out its deep research web browsing agent to all paying ChatGPT users, offering up to 10 queries per month for Plus, Team, Enterprise, and Edu tiers. Competing with Google and Perplexity, the tool aims to enhance AI subscriptions by delivering detailed research reports, with Pro users now getting 120 queries monthly. (Read Article)
● Anthropic Launches Claude 3.7 Sonnet, a Hybrid AI That ‘Thinks’ on Demand: Anthropic has introduced Claude 3.7 Sonnet, the first hybrid AI model that allows users to control its reasoning time for more thoughtful responses. Designed to handle complex tasks like coding and AI agent interactions, it outperforms previous models while reducing unnecessary refusals, with a new Claude Code tool launching for developers. (Try Now)
AI for Business
What AI Model Should You Choose For Each Business Use Case?

With the rapid pace of AI development, businesses are struggling to keep up with new models and their capabilities. While tech benchmarks give an idea of performance, they don’t always translate to real-world business impact.
This guide breaks down the most powerful AI models in 2025, focusing on what they actually do for businesses. Whether you’re looking for automation, customer engagement, research, or creative applications, here’s how you can make AI work for your company.
Best AI Models for Business Automation & Decision-Making:
1- Claude 3.7 Sonnet:
● Why It Matters: Claude 3.7 Sonnet is the first hybrid reasoning model, meaning it can provide quick responses or take time to think through complex queries.
● Best For: Business strategy, data-driven decision-making, financial modeling, and enterprise automation.
● Use Case: If you run a consulting firm or financial institution, Claude 3.7 Sonnet can analyze reports, interpret large datasets, and provide more accurate insights by “thinking” longer on demand.
2- OpenAI o1 & o3-mini:
● Why It Matters: These reasoning models excel at structured problem-solving, especially for STEM tasks.
● Best For: Companies needing AI for coding, scientific research, or engineering projects.
● Use Case: If your company develops software, OpenAI o1 or o3-mini can review and debug code more effectively than general-purpose models, reducing engineering time.
3- Cohere Command R+:
● Why It Matters: Built for Retrieval-Augmented Generation (RAG), it’s ideal for companies that rely on accurate, real-time document retrieval.
● Best For: Law firms, research institutions, knowledge management, and enterprises needing robust document search.
● Use Case: If you’re in legal or compliance-heavy industries, Command R+ helps automate document analysis, contract review, and research with higher accuracy.
Best AI Models for Customer Engagement & Productivity:
4- GPT-4.5 ‘Orion’:
● Why It Matters: GPT-4.5 has stronger world knowledge and “emotional intelligence,” making it a better customer-facing AI.
● Best For: AI-powered chatbots, virtual assistants, and customer service automation.
● Use Case: If your business has high customer engagement, GPT-4.5 can automate support chats while maintaining a more human-like tone.
5- Mistral Le Chat:
● Why It Matters: It’s designed for speed and offers real-time AI responses with multimodal capabilities.
● Best For: Businesses that need instant AI-generated insights, like media companies or live event customer support.
● Use Case: If you run an e-commerce platform, Le Chat can provide instant product recommendations and answer customer queries in real time.
6- Anthropic’s Computer Use:
● Why It Matters: It can take control of your computer to book travel, automate workflows, or even write reports.
● Best For: Administrative automation, scheduling, and personal assistant functions.
● Use Case: If your business relies on repetitive digital tasks, Claude’s Computer Use can automate workflows—from scheduling meetings to processing invoices.
Best AI Models for Research & Knowledge Generation:
7- OpenAI Deep Research:
● Why It Matters: This tool conducts in-depth research and generates well-cited reports.
● Best For: Market research, academic institutions, and data-heavy industries.
● Use Case: If you need to analyze competitors or track industry trends, Deep Research automates the reporting process and reduces research time.
8- Google Gemini Deep Research:
● Why It Matters: It summarizes search results into easy-to-digest research reports.
● Best For: Businesses conducting quick market research or competitive analysis.
● Use Case: If you’re launching a product, Gemini Deep Research can analyze market trends and summarize competitors to help with decision-making.
Best AI Models for Content & Creative Work:
9- OpenAI Sora:
● Why It Matters: Sora creates full video scenes, helping businesses automate content creation.
● Best For: Marketing teams, ad agencies, and content creators.
● Use Case: If you run a social media-driven business, Sora helps generate video ads, product demos, or promotional content in minutes.
10- Claude 3.7 Sonnet:
● Why It Matters: It performs better in long-form writing and content generation than most models.
● Best For: Blog writing, marketing content, and storytelling.
● Use Case: If you run a media company, Claude can write high-quality articles, scripts, and reports with a more natural tone.
Best AI Models for Technical & Engineering Work:
11- DeepSeek R1:
● Why It Matters: It rivals proprietary models in coding and technical problem-solving but is free to use.
● Best For: Software developers, research labs, and businesses needing high-performance AI at low cost.
● Use Case: If you need an AI coding assistant but don’t want to pay for OpenAI, DeepSeek R1 is a powerful alternative.
12- xAI’s Grok 3:
● Why It Matters: Designed for technical accuracy, it’s a great tool for STEM-based businesses.
● Best For: Engineering firms, biotech companies, and scientific research institutions.
● Use Case: If you’re an engineering consultancy, Grok 3 can help solve complex equations, run simulations, and analyze large datasets efficiently.
Wrap up:
The right AI model depends on your business needs:
● Need automation? → Try Claude 3.7 Sonnet, OpenAI o1, or Cohere Command R+
● Improving customer service? → GPT-4.5 Orion, Mistral Le Chat, or Claude 3.7 Sonnet
● Market research & reporting? → OpenAI Deep Research or Google Gemini Deep Research
● Creating content? → OpenAI Sora for video, Claude 3.7 Sonnet for writing
● Solving technical problems? → DeepSeek R1 or xAI’s Grok 3
As AI advances, businesses that adopt the right model will gain a competitive edge—whether in efficiency, customer engagement, or innovation. The key is choosing AI that aligns with your business goals and maximizes value without unnecessary complexity.
That’s it for today, thanks for reading till the end. 😊
Stay connected on LinkedIn for the latest updates.
See you next week.
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