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You’re missing key details in meetings & losing deals
You think you're catching everything in meetings—but are you really? This one mistake is costing you money
Michael Cronin
February 06, 2025
In partnership with
Today on Easy AI:
🚀 Daily Segments That Keep You Ahead in AI & Automation
🤯 One big story
💰 The latest in AI tech news
🤖 AI breakdown: What works, what’s hype?
🔄 Automate Your Life
📈 AI Business Wins & Fails
(Read time: five minutes)
The Problem with Taking Your Own Meeting Notes (And How AI Fixes It)
You know the feeling—you’re in an important meeting, trying to juggle two things at once:
1️⃣ Listening actively so you don’t miss key decisions.
2️⃣ Frantically typing notes so you can remember everything later.
And guess what? Neither task gets done well.
The Pain of Manual Meeting Notes:
🚨 You miss key details – Ever read your notes later and wonder, Wait, what did they actually mean by this?
🚨 Your notes are biased – You might interpret what was said differently than intended.
🚨 You’re not fully present – Instead of engaging in real conversations, you’re half-listening, half-typing.
🚨 Action items slip through the cracks – If you don’t catch every decision, important follow-ups get lost.
🚨 You waste hours reviewing & summarizing – Manually sifting through notes eats up your time.
The Fix? Let AI Handle It.
The #1 AI Meeting Assistant
Typing manual meeting notes drains your energy. Let AI handle the tedious work so you can focus on the important stuff.
Fellow is the AI meeting assistant that:
✔️ Auto-joins your Zoom, Google Meet, and Teams calls to take notes for you.
✔️ Tracks action items and decisions so nothing falls through the cracks.
✔️ Answers questions about meetings and searches through your transcripts, like ChatGPT
Try Fellow today and get unlimited AI meeting notes for 30 days.
🔥 Why This is a Game-Changer:
🚀 Never take meeting notes again—AI transcribes everything for you.
🚀 Stay 100% engaged—no more multitasking between listening and typing.
🚀 Find decisions instantly—ask Fellow what was said, and it pulls up the exact moment.
🤯 One Big Story: Google Just Bet $75 Billion on AI—But Investors Aren’t Happy
Google’s parent company, Alphabet, just made one of the biggest AI bets in history—announcing plans to spend $75 billion in 2025 to build out its AI infrastructure. That’s 43% more than last year, as Google tries to keep up with Microsoft, OpenAI, and Meta in the AI race.
🚀 Why This Matters:
AI is expensive, and Google is going all in—spending billions on data centers, AI chips, and cloud computing.
Investors are nervous—Alphabet’s stock dropped 7.4% after the announcement.
Microsoft and Meta are making similar billion-dollar moves, proving AI is the new battleground for tech giants.
🔥 The Big Takeaway:
Google is betting its future on AI, but big spending doesn’t always mean big wins. If AI doesn’t bring in the revenue fast enough, investors might start pushing back hard. This could reshape the entire AI industry in 2025. 🚀
📰 The latest AI and tech news
The EU’s AI Crackdown is Coming
The European Union is finalizing the AI Act, the world’s first major AI regulation, setting strict rules for AI development and use. Big U.S. tech companies like Meta aren’t happy, arguing it will slow down innovation and increase compliance costs.
AI Deciphers 2,000-Year-Old Vesuvius Scrolls
AI just helped decode ancient Greek texts from scrolls buried in the eruption of Mount Vesuvius in 79 A.D. Using advanced X-ray scanning and AI-driven image analysis, scientists are now uncovering lost historical knowledge that was unreadable for centuries.
🤖 AI Breakdown: AI Sales Tools – What Works, What’s Hype?
AI is changing how businesses find, qualify, and close leads, but not every AI sales tool actually drives revenue. Let’s break down which ones help you sell faster—and which ones are just overhyped automation gimmicks.
Feature | Apollo.io | Gong.io | Seamless.AI |
|---|---|---|---|
Best For | AI-powered lead generation & outreach | AI-driven sales call analysis & coaching | AI-driven contact & prospect data |
Lead Sourcing | Scrapes LinkedIn & web for targeted leads | No lead sourcing | Extracts verified emails & phone numbers |
AI Capabilities | Personalized email generation, auto follow-ups | Analyzes sales calls, identifies objections, suggests responses | AI verifies and updates prospect data in real-time |
Impact on Sales | Boosts email outreach & response rates | Improves sales rep performance & conversions | Saves time on manual prospecting & list-building |
Pricing | Free + paid plans | Premium only | Free + premium upgrades |
🔥 Verdict:
✔ Use Apollo.io if you need AI-powered lead lists and automated cold email sequences to book more meetings.
✔ Use Gong.io if you run a sales team and want AI-driven sales call insights to close deals faster.
✔ Use Seamless.AI if you want accurate, up-to-date contact data for outbound prospecting.
💡 Pro Tip: Combine Apollo for outreach, Seamless for verified contact data, and Gong for sales coaching insights to automate and optimize your entire sales process. 🚀
🔄 Automate Your Life: AI-Generated Proposals & Contracts
Writing proposals and contracts wastes time. AI can generate, customize, and send them automatically.
How to Set It Up:
Use DocuSign Intelligent Agreement Automation to pull client details from your CRM.
Auto-generate proposals using pre-set templates with pricing, terms, and scope.
Send contracts instantly for e-signature and track approvals in real time.
This cuts proposal time by 80%, reduces errors, and speeds up deal closures.
📈 AI Business Wins & Fails: IBM Watson’s Rise and Fall in Healthcare
IBM’s Watson Health was supposed to revolutionize medicine. The AI system could analyze massive amounts of medical data, helping doctors diagnose diseases and personalize treatments faster than ever.
🚀 What Worked:
✔ Watson’s AI successfully processed complex medical research, helping doctors identify treatment options for cancer and other diseases.
✔ Showed AI’s potential in healthcare, proving that machines can sort through data faster than humans ever could.
❌ What Failed:
AI struggled with real-world medical decisions—some treatment suggestions weren’t practical for actual patients.
Doctors didn’t trust it—Watson’s recommendations often lacked context, leading to skepticism and slow adoption.
IBM sold off Watson Health, effectively shutting down what was once considered the future of AI-driven medicine.
💡 The Takeaway:
AI can process data, but it can’t replace expert judgment—especially in critical industries like healthcare. The failure of Watson proves AI is a tool, not a replacement for human decision-making.
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