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Accessible AI: Practical Strategies for Every Business Leader
Meta scores legal win in copyright battle, OpenAI CEO calls out NYT publicly, Meta snatches 3 researchers from OpenAI and more!
Everyday AI
June 26, 2025
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Outsmart The Future
Sup Yāall! š
What should I roast next? š„µ
Each week on Everyday AI, we do a lil #HotTakeTuesday segment.
Iām putting you all in the driverās seat.
What do you wanna listen/watch/read about Tuesday?
Agentforce 3: Why Salesforceās AI Army Is Stallingāand What Breaks Next
Thomson Reuters reports only about a quarter of business have an AI road map. Why failure will be high.
Metaās $14 B Scale-AI Deal & $100 M Signing BonusesāCan Zuck Buy AI Relevance?
ChatGPT is reportedly rolling out real-time co-editing, chat threads, and file storage. Can they compete with Google and Microsoft?
Vote below and lemme know your hot takes! š
What do you wanna listen/watch/read about this upcoming #HotTakeTuesday |
āļø
Jordan
Today in Everyday AI
6 minute read
š Daily Podcast Episode: An AI mindset is crucial for modern business strategy. Learn how AI thinking could transform your company's approach in an ever-evolving landscape. Give it a listen.
šµļøāāļø Fresh Finds: OpenAI shoutouts Chinese AI company, Google and Pearson team up and Salesforce CEO says AI does up to 50% of its work. Read on for Fresh Finds.
š Byte Sized Daily AI News: Meta scores legal win in copyright battle, OpenAI CEO calls out NYT publicly and Meta snatches 3 researchers from OpenAI. For that and more, read on for Byte Sized News.
š§ Learn & Leveraging AI: Hereās how you can ditch traditional strategy and adopt an AI strategy for success. Keep reading for that!
ā©ļø Donāt miss out: Did you miss our last newsletter? We talked about Google unveiling open-source AI for developers, U.S. looking to ban Chinese AI from gov. use, Sam Altman's 'io' device drama continuing and more. Check it here!
Accessible AI: Practical Strategies for Every Business Leader š§ ļø
Youāre not thinking fast enough.
AIās already moved on.
While youāre making org charts and clinging to old playbooks, AI is rewriting business strategy in real time.
No legacy baggage. No endless debates. Just execution.
Your āadd-AI-laterā plan? Too little, too late shorty. Your three-year roadmap? Irrelevant next quarter.
If you want to survive, you need more than AI toolsāyou need an AI mindset.
Also on the pod today:
ā¢ Overcoming Inertia with AI Thinking ā¤“ļø
ā¢ AI Tools for Small and Large Businesses š ļø
ā¢ Evolution of Machine Learning Accessibility āļø
Itāll be worth your 28 minutes:
Listen on our site:
Click to listen
Subscribe and listen on your favorite podcast platform
Listen on:
Hereās our favorite AI finds from across the web:
New AI Tool Spotlight ā Omakase.ai turns your websites into Voice-powered sales agents, Universal Memory MCP makes your memory available to all LLMs and Shotup AI learns and remembers your screenshots.
OpenAI ā In a recent post, OpenAI highlighted Beijing-backed Zhipu AI for making notable progress in the global AI race.
Google ā Pearson and Google are teaming up to bring AI learning tools to classrooms.
Salesforce ā Salesforceās CEO says that AI is doing 30%-50% of its work.
Amazon ā Amazon has lost its AWS generative AI boss amid the AI talent wars.
Social Media - WhatsApp is rolling out AI-generated summaries for private messages.
AI in Education - A new poll shows that some teachers use AI to save time.
1. Meta Scores Legal Win in AI Copyright Fight āļø
A federal judge ruled in favor of Meta Platforms, dismissing claims by a group of authors that Meta infringed copyrights by using their books without permission to train its AI system, Llama. The court found the plaintiffs failed to prove that Metaās AI training would harm the market for their works under U.S. copyright law, but cautioned that unauthorized use of copyrighted material could still be illegal in other cases.
This decision comes amid growing legal battles over AI training practices and underscores the unsettled nature of fair use in the AI space.
2. OpenAI CEO Sam Altman Calls Out NYT Lawsuit š„
At a packed San Francisco event, OpenAI CEO Sam Altman openly challenged The New York Times lawsuit accusing OpenAI of improperly using its articles to train AI models, highlighting the publisherās demand to retain user data despite privacy requestsāa move Altman criticized sharply.
Adding fuel to the fire, Altman revealed growing tensions with Microsoft, OpenAIās biggest investor, as the two companies compete in enterprise AI, while Meta aggressively targets OpenAIās talent with massive compensation offers.
3. Meta Nets Three OpenAI Researchers Amid Hiring Frenzy š
Meta has successfully recruited three key researchersāLucas Beyer, Alexander Kolesnikov, and Xiaohua Zhaiāfrom OpenAIās Zurich office, joining Mark Zuckerbergās superintelligence team, according to the Wall Street Journal. This move highlights Metaās aggressive $100+ million compensation strategy and personal outreach efforts to attract top AI talent despite public skepticism from OpenAIās Sam Altman.
While Meta has landed some big names like Scale AIās CEO Alexandr Wang, major OpenAI founders remain out of reach, underscoring the ongoing fierce competition in AI talent wars.
4. YouTube Rolls Out Smarter AI Search and Chat Features š
YouTube is stepping up its AI game with two fresh AI updates, aimed at making video discovery faster and more intuitive. First, a new AI-powered search carousel delivers tailored video clips and topic breakdowns, currently available to US Premium users on travel and shopping queries.
Second, their conversational AI tool is expanding access to select non-Premium US users, letting them interact with videos for deeper learning and personalized recommendations. These moves reflect YouTubeās push to embed AI more deeply into everyday user experience.
5. AI Chatbots Rarely Replace Real Human Connection, Study Shows š«
A new report from Anthropic reveals that only 2.9% of interactions with its AI chatbot Claude involve users seeking emotional support or personal advice, debunking the myth that people commonly turn to AI for companionship.
Most conversations focus on productivity and content creation, with counseling and coaching making up a small but notable portion of usage. Interestingly, longer counseling chats sometimes evolve into companionship, especially when users face loneliness or existential concerns.
š¦¾How You Can Leverage:
Sprinkling AI on your decade-old business strategy?
That ain't it.
Your 2010 business playbook with AI features bolted on is doomed to fail. Full stop.
That's what Aishwarya Srinivasan, Head of AI Developer Relations at Fireworks AI, told us during our latest episode of Everyday AI.
She broke down why traditional companies can't just "insert some AI at the end" of their existing workflows and expect magic.
Remember when companies could take YEARS to adopt new tech like cloud or mobile?
Those days are gone forever.
Hereās what ya need to know. š
1 ā The real difference between AI then vs. now š„
Ash has been in machine learning since before the whole generative AI craze exploded. What's changed most dramatically in just the last three years?
Text summarization that once required specialized knowledge of GPT-2 models and complex implementations can now be handled by literally anyone with an internet connection.
But here's the mistake 99% of companies are making right now. They read about some shiny AI tool and desperately search for a place to use it in their business.
WRONG DIRECTION.
Ash explained that smart companies reverse the equation. They start by examining where their employees actually spend time. Which tasks require genuine human critical thinking? Which ones are mundane, repeatable, and ripe for AI assistance?
Your first step isn't finding cool AI tools. It's finding your bottlenecks.
Try this: Document how your team currently spends their time. Be ruthlessly honest.
Create two simple categories: "Critical Human Judgment Required" and "Repeatable/Low-Risk Tasks." Then focus your AI implementation efforts EXCLUSIVELY on that second category first. You'll get faster ROI and build organizational confidence in the tech.
2 ā How to break your brainās business-as-usual autopilot š§āāļø
The biggest obstacle to adopting an AI mindset isn't technology or budget. It's inertia.
We're creatures of habit, comfortably running on autopilot with our trusted workflows. Breaking that pattern requires conscious effort.
Ash shared a killer example from her own work. She wanted to create educational comics about AI topics (returning to her childhood love of art). Her first attempt took a grueling 8-9 hours. Her second try was slightly faster at 5-6 hours.
But after embracing AI tools? She created a quantum computing comic in under 30 minutes.
That's not a small efficiency boost. That's a fundamental transformation in what's possible.
And no, this isn't about replacing jobs. It's about creating space for new opportunities. When your team's mundane tasks shrink from consuming 80% of their day to 20%, they don't become obsolete.
They become free to tackle challenges you couldn't previously afford to address.
Try this:
Pick ONE routine workflow that eats at least 2 hours of your week. Don't just think about automating it.
Completely reimagine it as if you were designing it from scratch today, with all AI tools at your disposal. What steps would you eliminate entirely?
What parts actually need human attention? Go nuclear on your assumptions.
3 ā The simplest advice that actually works š£ļø
Feeling overwhelmed by all the new AI tools and approaches?
You're not alone.
Ash's advice is refreshingly straightforward: try AI tools yourself. Personally. Not as a strategic corporate initiative. Just as a human with problems to solve.
See an interesting AI tool mentioned on LinkedIn or Twitter? Give it a spin. The overwhelm melts away once you start experimenting directly.
Even Ash's mother now uses ChatGPT to fact-check news stories she reads online. If she can develop an AI mindset in her daily life, your organization certainly can.
The more you experiment, the faster you'll develop an intuition for separating genuine value from empty hype.
Try this:
Block 30 minutes on your calendar each week labeled "AI play time." During this sacred slot, test ONE new AI tool you've heard about.
No agenda, no ROI analysis, just pure exploration. Keep a simple note about what impressed you and what didn't. After a month, you'll have a personalized toolkit and a much clearer sense of what's actually possible versus what's just marketing fluff.
Remember: Companies viewing AI as just another tech implementation are already toast. The winners have developed an AI mindset at their core.
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