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- š„ The AI Tool with 32k Uses, š ļø 3 AI tools to steal + Zuckās $15B AGI Moonshot
š„ The AI Tool with 32k Uses, š ļø 3 AI tools to steal + Zuckās $15B AGI Moonshot
AI is moving fastāthese 4 drops show where itās headed (and how you can use it today)
Hey, itās Oliver from Brain Bytes.
In todayās issue:
- 3 AI workflows pros use to save 5+ hrs/week (and edge out competitors)
- Microsoft just made your desktop āthinkā for you (Copilot Vision drops)
- Oracleās $275B AI playāand what it means for investors
- And more...
P.S. Iām 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 ā
Best Links This Week
My Must-Reads:
AI Trends & News
- Metaās going all-in on AGI with a $15B moonshot to outpace OpenAI and Google (Article)
Tools & Software Finds
- Perplexity AI (Not Sponsored) ā ChatGPTās nerdy cousin who cites every answer and never makes stuff up (Perplexity). (Perplexity)
Productivity & Work Hacks
- AI trick turns Google Docs into a cheat codeātakes 10 sec to set up (LinkedIn)
Worth the Scroll
- This AI transforms drone clips into cinematic trailersā20 seconds of magic (LinkedIn)
We recently launched our social media on X and LinkedIn ā go give us a follow!

š¢ 1. Oracle Hits New High on AI Cloud Surge
Oracle stock surged over 20% this week, reaching an all-time high as its AIāfocused cloud revenue continues to explode . CEO Safra Catz flagged a blockbuster 70% increase in infrastructure salesāpropelled 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 $275āÆbillion in backlog and $25āÆbillion in capāex planned, its aggressive investment strategy shows no signs of slowingāeven eclipsing 2001ās dotācom boom highs.

š¼ļø 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 contentāe.g. a chart in Excel or a slide in PowerPointāand offers real-time guidance, summaries, or suggestions within the interface . Early reviewers call it āeerily intuitive.ā With no extra subscription needed and potential rollout to iOS/Android, this marks a big push toward seamless, context-aware productivity AIāsetting a benchmark in desktop AI assistance.

š 3. Anthropicās CEO Warns of AI Job Displacement
Anthropicās 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 āsugar-coatingā the risks of job displacementāand that unemployment could reach 10ā20% if structural shifts arenāt 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.

š§ 3 Advanced Ways to Use AI to Actually Work Smarter
These arenāt surface-level tips. These are strategic ways operators, analysts, and builders are using AI right now to gain a serious edge.
1. š 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 Nvidiaās latest earnings call. Instead of reading the transcript line by line, you feed it to Finchat or Claude with a prompt like āSummarize 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.
š§© Itās like having a junior analyst on standbyāminus the salary.
2. š§¾ AI-Generated Performance Reviews That Arenāt Generic
Writing reviews for 5+ direct reports? AIās saving managers hours by pulling in updates from Notion, Slack, and ticketing tools to draft custom summaries.
Use Case: You run a team, but youāre swamped. You connect your teamās 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).
Whatās Different: It surfaces real examples instead of vague HR speak.
š§© Some fast-scaling startups automate up to 60% of manager-side review writing.
3. šµļø Weekly AIāBuilt 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 adsāyour AI assistant spots it before your team does.
Tools in Play: Perplexity Pro, Web Scrapers + GPT, Notion Digest Templates, Diffbot.
What It Replaces: One marketerās weekly ritual of 9 tabs, 3 spreadsheets, and 2 espressos.
š§© One B2B SaaS firm credited a 7āday lead in launching a counter-campaign to this setup.

A Quick Note Before You Go
Thanks for reading this weekās Brain Bytes ā I hope something here helped you move faster or think better.
Howād 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 ā
See you next week, ā Oliver from Brain Bytes.
