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How Real Businesses Are Actually Winning with AI

Free ChatGPT Plus for some, new agentic breakthrough, ChatGPT rolling out internal knowledge and more.

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Everyday AI
April 03, 2025

Outsmart The Future

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We partnered with NVIDIA for our own lil Awesome 8 tourney – the Inception Games. 8 AI Startups battle it out.

Today in Everyday AI
8 minute read

🎙 Daily Podcast Episode: Business is a game. AI sets the rules, now. Here’s how businesses can win, from an industry vet. Give today’s show a watch/read/listen.

🕵️‍♂️ Fresh Finds: Google shakes up Gemini team, Trump mighta used AI for tariff math, Deepfakes criminalized, Minecraft AI breakthrough and more. Read on for Fresh Finds.

🗞 Byte Sized Daily AI News: Free ChatGPT Plus for some, new agentic breakthrough, ChatGPT rolling out internal knowledge and more. Read on for Byte Sized News.

🧠 Leverage AI: In an instant classic, our guest today Ajay laid out an easy-to-follow gameplan for companies to win with AI. Keep reading for that!

↩️ Don’t miss out: Did you miss our last newsletter? We talked about: ChatGPT passes the Turing Test, OpenAI has another release, Claude goes to school, Tinder adding AI to your rizz game and more. Check it here!

How Real Businesses Are Actually Winning with AI

Still experimenting with AI?



Cool yo. 



While you tinker with prompts and pilot projects, real businesses are stacking wins—and actual revenue.



  • They’re not chasing shiny tools.


  • They’re building unfair advantages.


  • They’re automating what matters and scaling faster than their competition can.



And no, it’s not just Big Tech.



It’s manufacturers. Retailers. Healthcare companies. Real people solving real problems—with AI that works today.



You’ve got two options:


🛑 Stay stuck in “research mode”


✅ Or see how the pros are doing it and steal their playbook



Ajay Malik—former Google exec and CEO of StudioX—joins us to share how real businesses are crushing it right now with AI.

Also on the pod today:

• Real businesses finding AI wins 💡
• Improve revenue with predictive alerts 📈
• Skill isn't a differentiator anymore ❌

It’ll be worth your 34 minutes:

Listen on our site:

Click to listen

Subscribe and listen on your favorite podcast platform

Listen on:

Upcoming Livestreams/Podcasts

Friday, April 4 at 7:30 AM CST

Here’s our favorite AI finds from across the web:

New AI Tool Spotlight – Supaboard is an AI powered business intelligence tool, Waxwing is an online marketplace for AI Agents and Humans teaming up, AutonomyAI is an autonomous dev that accelerates development.

Big Tech — Google shakes up Gemini leadership to reclaim AI dominance

AI Images — ChatGPT’s new image generation tool hit 700M creations in a week

NotebookLM — Google's NotebookLM now finds sources for you—no uploads needed—making it easier to explore and organize topics. Curious how it works?

AI and Politics — U.S. President Trump’s new tariff policy may have been inspired by AI chatbots’ oversimplified math.

AI in Gaming — An AI called Dreamer just learned to collect Minecraft diamonds—solo, no human help needed.

LLM news — This LLM platform lets users profit from their data used to train AI models.

AI Laws — NJ criminalizes AI deepfakes, punishable by prison and lawsuits.

1.OpenAI Offers Free ChatGPT Plus to Students Through May 🆓

In a move to lighten the load during finals season, OpenAI is giving students in the US and Canada free access to ChatGPT Plus through May. The subscription, typically $20/month, unlocks advanced features like image generation, voice mode, and deep research capabilities, offering powerful tools for studying, coding, and essay writing.

This announcement underscores the growing acceptance of AI in education, as institutions increasingly integrate tools like ChatGPT into curriculums. Students can claim the offer now via OpenAI’s ChatGPT Students landing page—a timely perk as finals crunch begins.

2. AI Breakthrough: convergence AI Releases Parallel Agents 🤖

Convergence AI, a London-based tech lab, has launched Parallel Agents, a cutting-edge multi-agent system under their DeepWork plan that promises to revolutionize task automation.

This system slices tasks into smaller parts and assigns them to multiple AI agents, enabling faster completion and real-time visibility. Already adopted by over 100,000 users shortly after release, its ability to boost efficiency and generate detailed reports is turning heads in the business world. Backed by investors like Shopify and Salesforce, this innovation could reshape how companies handle complex workflows.

3. ChatGPT Rolling Out Internal Knowledge for Team Workspaces 🛼

Big news in AI collaboration: ChatGPT has started to roll out "Internal Knowledge," a feature that integrates Google Drive into its responses for workplace teams.

According to OpenAI, this tool pulls relevant data from shared drives to speed up decision-making and reduce context-switching, while respecting user permissions. Though it’s in beta and currently limited to Google Workspace accounts, it promises real-time syncing and secure file access updates within minutes. This rollout could be a game-changer for teams balancing fast-paced projects, though advanced data analysis and mobile parity are still on the horizon.

Here’s the rollout/settings

4. Runway AI Raises $308M, Launches Cutting-Edge Video Creator 📹

Runway AI just secured a massive $308M in funding, pushing its valuation past $3B, according to Bloomberg. The raise, led by General Atlantic and backed by heavyweights like Nvidia and SoftBank, arrives on the heels of Runway’s release of Gen-4, a groundbreaking video generation model capable of creating crisp 10-second clips with just an image and text prompt.

With plans to bolster AI training datasets and dive deeper into diffusion and Transformer-based models, the company is positioning itself as a serious competitor to OpenAI's Sora, which recently stumbled under heavy demand.

5. Amazon's AI "Buy for Me" Button Takes Shopping to the Next Level 🛒

Amazon is testing a groundbreaking, AI-powered "Buy for Me" feature that lets shoppers purchase items from third-party websites without leaving its mobile app, according to reporting by Emma Roth. Powered by its Nova AI system and Anthropic’s Claude, this tool securely handles payment and shipping details, making checkout seamless for users.

While Amazon tracks orders within its app, customer service and returns still require visiting the original retailer’s site. Currently available to select U.S. users, this bold move signals Amazon’s intent to tighten its grip on e-commerce convenience.

Winning in business isn't just about skill anymore. 

Experience, niche expertise, and knowing the ropes.

  • But what if skill has lost its throne?

  • What if your knowledge doesn't matter like it used to?

Harsh reality: your domain knowledge doesn’t matter as much anymore, shorties. 

For real businesses thriving with AI, that's not just provocative. It's the tough truth pill to swallow. 

AI has changed the rules of the game. And if you're not playing right, you're not winning.

Ajay Malik, CEO of Studio X and former Google exec, joined us on today's Everyday AI show to reveal how businesses can ACTUALLY win with AI. 

This one’s a banger, y’all. We HIGHLY encourage you to go watch/listen to today’s show, as Ajay was dropping knowledge on our heads. 

Big picture: AI is no longer a nice to have. It's your only hope to win the game of business. 

Ready for our 3 big takeaways? 

Let's win this game. 👇

1. Think Big. Start Small. Scale Fast. 🏎️

Ajay shocked us with a bold company policy: "skill is not a differentiator" anymore.

Brutal truth.

Your precious domain knowledge aint special in 2025. The seventh sense has arrived.

Ajay explained how Google taught him a principle that now drives his success: anything you do more than three times should be automated.

Period. Full stop. No exceptions.

His winning formula? Target problems so small they seem almost laughably trivial at first glance.

One Studio X client added voice controls to welding helmets so workers could speak commands without removing gloves mid-task. The ROI was immediate and massive. Workers stopped interrupting their flow just to adjust settings.

Another client installed microphones in vending machines to listen for mechanical anomalies before catastrophic failures occurred. The machines now essentially diagnose themselves before breaking down and costing thousands in emergency repairs.

Companies consistently fail with AI when they pursue trendy applications instead of solving real, quantifiable problems that directly impact their bottom line every single business day.

Try this: 

Host a 15-minute team meeting with one specific agenda item: identifying repetitive daily annoyances.

No big-picture thinking allowed here. Focus exclusively on the tiny frustrations that waste minutes but feel too small to fix.

Create a simple spreadsheet with three columns: task name, current time spent, and potential time saved.

Pick the highest impact item and build a targeted AI solution with a single success metric.

Set a non-negotiable two-week implementation deadline. Small problems need small solutions on small timelines.

2. Change your horse, mid-race if need be 🏇

"Stick to your decisions" is dinosaur advice.

In AI-world? Total garbage.

When a project stalls, Ajay says bail FAST. Zero hesitation. Zero regret.

His actual advice: treat failing AI projects like a broken Claude chat. Just restart and try something completely different.

Two weeks without updating your AI approach? Congrats on your digital fossils.

Winners have zero emotional attachment to their AI implementations.

Try this: 

Set a 15-day checkpoint for every AI project.

Create exactly two success metrics. Write them down BEFORE you start.

Day 15: If numbers aren't jumping, kill it dead.

Don't tweak. Don't extend. Identify which 20% delivers 80% of value.

Rebuild focused ONLY on that core. The pivot IS the strategy.

3. Dual focus: Top line and bottom line wins 🏆

Most companies use AI to cut costs.

Booooooooorring buddies.

Ajay revealed how winners attack revenue AND efficiency simultaneously.

Top line: turn ordinary products into AI-powered superstars. Vending machines that self-diagnose. Printers that order supplies automatically. Customers pay premium prices for products that solve problems they didn't know they had.

Bottom line: The 15-70-15 formula transforms workflows. Humans handle the first 15% (defining problems) and last 15% (verifying solutions). AI crushes the middle 70%.

Think. It’s not just human in the loop. It’s expertise in the loop. Make that human time count.

Try this: 

Choose ONE product you sell. List three ways AI could make it smarter.

Calculate what customers would pay for these upgrades.

Next, identify which internal processes supporting this product waste the most time.

Build a dual-focus case showing both revenue boost AND cost savings. Track metrics on both sides to prove the multiplier effect.

  • Think extremely big.

  • Start ridiculously small.

  • Scale astonishingly fast. 

The game doesn't wait for reluctant players to join. You’ve got the winning AI gameplay.

Your move.

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