Good morning ☀️, leader of the next gen.

The future belongs to you. Let’s make conscious leadership the norm and embrace innovation as the driving force for positive change 🌍✨

WHAT’S AT STAKE TODAY ⚡

• 💸🧠 Anthropic rolls out a $200 per month Claude subscription. Premium AI assistant gets premium price tag!
• 📊🔬 OpenAI launches program to design new domain-specific AI benchmarks. Testing robots gets more specialized!
• 🛡️✨ Karax.ai enters the AI tool spotlight. Another helper wants your digital attention!
• 🎵☁️ Google brings a music-generating AI model to its enterprise cloud. Corporate customers get AI composers!
• 💰🧩 Microsoft backs Solve Intelligence in $12M Series A funding. AI startup gets Redmond's blessing!
• 📊💸 Tessell snags $60M to drive data management at scale. Big data gets bigger funding!
• 🌐🆓 WordPress.com launches a free AI-powered website builder. Blogging gets algorithmic boost!
• 🤖👥 Artisan, the "stop hiring humans" AI agent startup, raises $25M and is still hiring humans. Irony overload!
• 💻⚖️ US may fine TSMC $1B over chip allegedly used in Huawei AI processor. Semiconductor drama escalates!

⚡ Latest in AI

Anthropic rolls out a $200-per-month Claude subscription

Claude Max enters the premium AI race with $100 and $200 tiers

Anthropic has launched Claude Max, a high-end subscription for its AI assistant, with $100 and $200/month options offering 5x and 20x usage limits compared to the $20 Pro plan. The move positions Claude directly against OpenAI’s ChatGPT Pro.

Premium tiers include early access to Claude’s newest features and models like Claude 3.7 Sonnet. Anthropic hinted at possible future tiers beyond $200, reflecting rising costs in AI development and growing user demand for advanced reasoning.

The rollout suggests Anthropic is testing tiered pricing for solo professionals and power users, while separating them from enterprise contracts. It's a bet that AI's most useful tools will increasingly look like high-value productivity software.

As the AI business model evolves, the market will reveal if consumers are ready to pay premium prices for smarter, more capable assistants—or if only enterprise will foot the bill for frontier AI.

⚡ The companies of the future

OpenAI launches program to design new ‘domain-specific’ AI benchmarks

OpenAI Pioneers Program Benchmarks

OpenAI has launched the OpenAI Pioneers Program to create new domain-specific AI benchmarks that better reflect real-world performance.

The initiative aims to develop evaluations for specialized fields including legal, finance, insurance, healthcare, and accounting—areas where current benchmark limitations have become evident. OpenAI notes that many existing benchmarks measure performance on esoteric tasks or can be gamed, citing recent controversies like the LM Arena benchmark and Meta's Maverick model.

The first cohort will focus on startups working on "high-value, applied use cases where AI can drive real-world impact." In addition to creating benchmarks that will eventually be shared publicly, participating companies will have opportunities to work with OpenAI's team on model improvements through reinforcement fine-tuning.

Why it matters: By shaping how success is measured in specific industries, OpenAI could influence not just how AI models are evaluated—but how they’re built, deployed, and trusted.

⚡ Never Miss a Detail With AI-Powered Meeting Notes

KaraX.ai is an AI meeting assistant that automatically transcribes conversations, generates summaries, extracts action items, and highlights key takeaways from virtual meetings. It integrates with Google Meet, Microsoft Teams, and Zoom—making it easy to keep your team aligned.

With searchable transcripts, action item tracking, and enterprise-grade security (256-bit encryption, GDPR, HIPAA compliant), KaraX helps professionals eliminate manual note-taking and improve meeting outcomes.

⚡ More AI Bites

1. 🎼☁️ Google brings a music-generating AI model to its enterprise cloud. Corporate customers get AI composers!
2. 💸🧠 Microsoft backs Solve Intelligence in $12M Series A funding. AI startup gets Redmond's blessing!
3. 📊🚀 Tessell snags $60M to drive data management at scale. Big data gets bigger funding!
4. 📝🤖 WordPress.com launches a free AI-powered website builder. Blogging gets algorithmic boost!
5. 👔🎭 Artisan, the "stop hiring humans" AI agent startup, raises $25M and is still hiring humans. Irony overload!
6. 💥🇺🇸 US may fine TSMC $1B over chip allegedly used in Huawei AI processor. Semiconductor drama escalates!

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⚡ Trends for the Future

Will A.I. Save the News?

AI is reshaping how news is created, delivered, and consumed

The details:

Artificial intelligence is rapidly transforming how we create, distribute, and consume news. From Google's AI overviews that summarize articles to Perplexity's "Discovery Daily" podcast with AI-generated scripts read by synthetic voices, the technology is disrupting journalism on both supply and demand sides.

While simple content like sports recaps and weather reports appear most vulnerable to AI replacement, the technology could actually enhance investigative journalism. Zach Seward, editorial director of AI initiatives at the New York Times, believes "the biggest opportunity when it comes to AI for journalism is investigations and research," enabling reporters to analyze "tens of thousands of pages of unorganized documents, or hundreds of hours of video" previously beyond human capacity.

However, the economics remain troubling. Even if readers value human journalists, will they support the organizations that employ them? As AI becomes more sophisticated, we may see individual voices survive while institutions falter, potentially leaving us with AI-summarized wire reports, independent newsletters, and little else.

Social media platforms face similar disruption as AI-generated content becomes indistinguishable from human posts. Yet AI's ability to reformulate information for different audiences could prove valuable. The same news story could be personalized for various demographics, allowing readers to consume content tailored to their specific circumstances.

As AI quality improves, sophisticated news organizations remain protected by their reputation for accuracy and human expertise. "As the internet fills up with AI-generated slop, the value of being able to say, 'This was reported and written by the reporters whose faces you see on the byline' only goes up," notes Seward. Yet if artificial general intelligence arrives sooner than expected, we might come to associate AI "bylines" with balance and comprehensiveness.

The author has integrated AI into his news consumption, using ChatGPT and Perplexity to explore topics more deeply. While traditional news follows events forward in time, AI excels at providing historical context and sideways connections, allowing readers to trace stories backward through time or across related subjects. This conversational approach to news consumption proves more efficient and intellectually stimulating than traditional browsing.

What makes this crucial: AI could offer personalized, interactive news experiences that complement human reporting—but whether it will empower journalism or erode its foundations remains an open question.

⚡ Women Powerhouse Event

Women in AI: Redefining the Future of Technology

Women powerhouse all under one single event 🤩

About the event:

Women in AI is a dynamic panel showcasing how women have successfully created efficiency in their processes by leveraging technology in their business and personal lives.

Be there and support women with a great cause

Event Details:

📅 Date: April 14, 2025

📍 Location: The Moore, Miami

🔗 Register here:Sign up now

Do you have a business problem keeping you up at night?

Here’s your chance to get it solved! Share your most staggering challenges with us, and I’ll use the power of AI to find solutions tailored just for you. I’ll feature the answers in one of our upcoming Supercharged issues—let’s tackle it together!

📈 AI Playground: Elevate Your Data Analytics 📈

🔧 This Week’s Tool: SAS Viya 🔧

Overview: SAS Viya is an advanced AI, analytics, and data management platform developed by SAS Institute. It offers a comprehensive suite of tools designed to facilitate data analysis, machine learning, and model deployment across various environments. By integrating open-source compatibility and cloud-native architecture, SAS Viya empowers organizations to make data-driven decisions efficiently. 🚀

Why Is It Better Than Other Tools? ✨

• ⚡ Open-Source Integration: Seamlessly integrates with popular open-source tools like Python, R, and Jupyter, allowing data scientists to leverage existing code and methodologies.
• ☁️ Cloud-Native Architecture: Designed for cloud deployment, offering scalability and flexibility to meet the evolving needs of businesses.
• 🛡️ Comprehensive Governance: Provides robust features for detecting algorithmic bias, auditing decisions, and monitoring models, ensuring ethical and responsible AI deployment.
• 📊 Advanced Analytics: Utilizes econometrics and machine learning to create predictive models, enabling organizations to forecast scenarios based on complex data.

What Does It Do Best? 🌟

• 📈 Predictive Modeling: Develops accurate forecasts and simulations to support strategic planning and decision-making.
• 🔍 Fraud Detection: Identifies unusual patterns and anomalies in data to detect and prevent fraudulent activities.
• 🛠️ Data Management: Offers tools for data cleansing, transformation, and integration, ensuring high-quality data for analysis.
• 📉 Risk Assessment: Evaluates potential risks by analyzing historical data, aiding in proactive risk management strategies.

Applications 💼:

• 🏦 Financial Services: Enhances credit scoring models, detects fraudulent transactions, and manages financial risks.
• 🏥 Healthcare: Assists in patient data analysis, disease prediction, and healthcare resource optimization.
• 🛒 Retail: Analyzes customer behavior to optimize inventory, pricing strategies, and personalized marketing.
• 🚚 Manufacturing: Predicts equipment failures and optimizes maintenance schedules to reduce downtime.

Follow This Simple Guide to Get Started with SAS Viya:

1. 🌐 Visit the Website: Go to SAS Viya to learn more about the platform.
2. 🔗 Explore Documentation: Access comprehensive resources and tutorials to understand the platform's capabilities.
3. 🛠️ Set Up Environment: Utilize cloud providers like AWS, Google Cloud, or Microsoft Azure to deploy SAS Viya.
4. 📊 Integrate Data Sources: Connect your existing data repositories to SAS Viya for seamless data analysis.
5. 🤖 Develop Models: Use the integrated tools to build, train, and validate machine learning models.
6. 🚀 Deploy and Monitor: Deploy models into production and monitor their performance to ensure accuracy and reliability.

SAS Viya empowers organizations to harness the power of AI and analytics, driving innovation and informed decision-making. 🌟

💡 Challenge: Utilize SAS Viya to analyze a dataset relevant to your industry and share the insights gained. Discover how it can transform your data analytics processes and enhance business outcomes! 🚀