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šŸ’„ The AI Tool with 32k Uses, šŸ› ļø 3 AI tools to steal + Zuck’s $15B AGI Moonshot

AI is moving fast—these 4 drops show where it’s headed (and how you can use it today)

Hey, it’s Oliver from Brain Bytes.

In today’s issue:

  • 3 AI workflows pros use to save 5+ hrs/week (and edge out competitors)
  • Microsoft just made your desktop ā€œthinkā€ for you (Copilot Vision drops)
  • Oracle’s $275B AI play—and what it means for investors
  • And more...

P.S. I’m opening early access to our new AI Productivity Assistant, it helps you plan your week in 10 mins and save 5+ hours/week with AI. First 100 readers get it cheaper. Join the early list →

Best Links This Week

My Must-Reads:

AI Trends & News

  • Meta’s going all-in on AGI with a $15B moonshot to outpace OpenAI and Google (Article)

Tools & Software Finds

  • Perplexity AI (Not Sponsored) – ChatGPT’s nerdy cousin who cites every answer and never makes stuff up (Perplexity). (Perplexity)

Productivity & Work Hacks

  • AI trick turns Google Docs into a cheat code—takes 10 sec to set up (LinkedIn)

Worth the Scroll

  • This AI transforms drone clips into cinematic trailers—20 seconds of magic (LinkedIn)

We recently launched our social media on X and LinkedIn — go give us a follow!

šŸ¢ 1. Oracle Hits New High on AI Cloud Surge

Oracle stock surged over 20% this week, reaching an all-time high as its AI‑focused cloud revenue continues to explode  . CEO Safra Catz flagged a blockbuster 70% increase in infrastructure sales—propelled by high-profile deals like the Stargate project (Oracle + OpenAI + Nvidia) and massive data center deployments  . Oracle is now positioning itself as a top-tier AI cloud provider, rivaling AWS, Microsoft, and Google. With $275 billion in backlog and $25 billion in cap‑ex planned, its aggressive investment strategy shows no signs of slowing—even eclipsing 2001’s dot‑com boom highs.

šŸ–¼ļø 2. Microsoft Launches Copilot Vision for Windows

Microsoft officially rolled out Copilot Vision in the U.S. for Windows 10/11 users, enabling on-screen context analysis INSIDE active apps  . Instead of simply interpreting plain text, Copilot now visually recognizes content—e.g. a chart in Excel or a slide in PowerPoint—and offers real-time guidance, summaries, or suggestions within the interface  . Early reviewers call it ā€œeerily intuitive.ā€ With no extra subscription needed and potential rollout to iOS/Android, this marks a big push toward seamless, context-aware productivity AI—setting a benchmark in desktop AI assistance.

šŸ”Ž 3. Anthropic’s CEO Warns of AI Job Displacement

Anthropic’s CEO, Dario Amodei, predicted that AI could automate up to 50% of entry-level white-collar jobs in just 5 years. He warns that governments and companies are ā€œsugar-coatingā€ the risks of job displacement—and that unemployment could reach 10–20% if structural shifts aren’t addressed. Recent data backs him up: hiring for junior tech roles has already dropped significantly, and firms are replacing fresh grads with seasoned pros using AI tools. His advice? Adapt early and start thinking like a senior, no matter your current role.

🧠 3 Advanced Ways to Use AI to Actually Work Smarter

These aren’t surface-level tips. These are strategic ways operators, analysts, and builders are using AI right now to gain a serious edge.

1. šŸ“ˆ Using AI for Smarter Investment Analysis

More individual investors and analysts are turning to AI agents like Koyfin AI, ChatGPT Plugins (with Financial APIs), and Finchat.io to synthesize earnings calls, SEC filings, and macroeconomic data.

  • Use Case: You want to analyze Nvidia’s latest earnings call. Instead of reading the transcript line by line, you feed it to Finchat or Claude with a prompt like ā€œSummarize key revenue drivers and management sentiment.ā€

  • Tools in Play: Finchat.io, Koyfin AI Assistant, GPT + EDGAR plugin.

  • Bonus: Some funds use fine-tuned LLMs to benchmark ESG risk across public company disclosures.

🧩 It’s like having a junior analyst on standby—minus the salary.

2. 🧾 AI-Generated Performance Reviews That Aren’t Generic

Writing reviews for 5+ direct reports? AI’s saving managers hours by pulling in updates from Notion, Slack, and ticketing tools to draft custom summaries.

  • Use Case: You run a team, but you’re swamped. You connect your team’s project logs to an internal GPT agent that generates performance blurbs for each person.

  • Tools in Play: OpenAI API + Notion + Slack integration (some use internal Zapier flows).

  • What’s Different: It surfaces real examples instead of vague HR speak.

🧩 Some fast-scaling startups automate up to 60% of manager-side review writing.

3. šŸ•µļø Weekly AI‑Built Competitive Intelligence Briefs

Instead of manually checking what competitors are doing, growth teams now set up autonomous AI workflows that scrape, track, and summarize changes.

  • Use Case: Your competitor just changed their pricing page, launched a new feature, and started running Meta ads—your AI assistant spots it before your team does.

  • Tools in Play: Perplexity Pro, Web Scrapers + GPT, Notion Digest Templates, Diffbot.

  • What It Replaces: One marketer’s weekly ritual of 9 tabs, 3 spreadsheets, and 2 espressos.

🧩 One B2B SaaS firm credited a 7‑day lead in launching a counter-campaign to this setup.

A Quick Note Before You Go

Thanks for reading this week’s Brain Bytes — I hope something here helped you move faster or think better.

How’d this one land?

P.S. Want curated tool picks and content recs? Fill this 30-second form so I can tailor the drops to you: Fill out form →

See you next week, — Oliver from Brain Bytes.

Oliver