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AI Strategies Driving Business Growth Today

ChatGPT Deep Research gets GitHub connector, Apple working on next-gen AI chips, Microsoft bans DeepSeek and more.

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Everyday AI
May 09, 2025

Outsmart The Future

Today in Everyday AI
7 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 makes it cheaper to access models, Meta hires DeepMind director and NVIDIA CEO speaks on the harm of China’s AI market. Read on for Fresh Finds.

🗞 Byte Sized Daily AI News: ChatGPT Deep Research gets GitHub connector, Apple working on next-gen AI chips, Microsoft bans DeepSeek 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: U.S. to reduce AI chip restriction, Apple’s Safari to include OpenAI and Perplexity, U.S. AI leaders testify in court and more. Check it here!

AI Strategies Driving Business Growth Today

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:

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.

Google — Google has launched implicit caching to make accessing its AI models cheaper.

Google has also rolled out AI tools to protect Chrome users against scams.

Meta — Meta has hired a former DeepMind director to lead its AI research lab (FAIR).

NVIDIA — NVIDIA’s CEO spoke on the harm of being locked out of China’s AI market.

OpenAI — OpenAI has launched a data residency in Asia.

AI Tech — In a recent interview, former Apple designer John Ivey spoke on his upcoming AI product with OpenAI.

AI in Media — The president of Reuters spoke on the future of press and AI.

1. OpenAI Links ChatGPT Deep Research to GitHub for Codebase Q&A 🧑‍💻️

OpenAI just rolled out a GitHub connector for its ChatGPT deep research feature, allowing developers to query codebases and engineering docs directly through ChatGPT Plus, Pro, and Team plans, with Enterprise and Edu access coming soon.

This move comes as AI firms race to integrate their chatbots with external platforms, boosting practical utility beyond simple Q&A. The connector helps break down specs into tasks, analyze code patterns, and demo API use—all aimed at saving developers time without replacing expert judgment.

2. Apple’s Next-Gen Chips Power Smart Glasses and AI Servers ⚡️

Apple is stepping up its chip game, developing specialized processors for future devices including its first smart glasses and AI servers, Bloomberg reports. The smart glasses chip, based on Apple Watch technology for energy efficiency, could hit mass production by late 2026 or 2027, signaling Apple’s bid to challenge Meta’s Ray-Ban smart glasses.

Alongside this, Apple is advancing new Mac processors (likely M6 and M7) and AI server chips to boost its Apple Intelligence platform, which already enhances iPhones with AI features like ChatGPT integration.

3. Microsoft Bans DeepSeek App Over Security Concerns 🚫

In a Senate hearing yesterday, Microsoft’s vice chairman Brad Smith revealed that the company prohibits its employees from using DeepSeek due to data security risks and fears of Chinese propaganda influence.

Although Microsoft offers a sanitized version of DeepSeek’s AI model on Azure, it refuses to list the app in its store, citing concerns about data stored on Chinese servers and censorship. This move marks Microsoft’s first public acknowledgment of a formal ban on DeepSeek, highlighting growing tensions around AI tools tied to China.

4. IBM Replaces HR Staff with AI but Grows Workforce 🤖

IBM CEO Arvind Krishna confirmed this week that the company has automated hundreds of human resources jobs using AI, specifically through tools like AskHR and AskIT, boosting productivity by $3.5 billion over two years. Rather than shrinking, IBM’s workforce expanded as savings were redirected to hire more software engineers, marketers, and salespeople focused on “critical thinking” roles.

This move highlights a growing trend where AI handles routine tasks, freeing humans for complex, strategic work—a shift that could reshape career paths and company structures.

5. NVIDIA Downgrades AI Chip for China Amid U.S. Export Controls ⤵️

NVIDIA is set to launch a less-powerful version of its H20 AI chip in China within two months, aiming to navigate new Biden-era export restrictions tightening tech access to the region, Reuters reports. This move follows a $5.5 billion write-off tied to previous shipments and signals NVIDIA’s effort to maintain a foothold in China’s lucrative $50 billion AI market despite growing competition from domestic players like Huawei.

While the downgrade may reduce the chip’s competitiveness, NVIDIA’s strategic pivot highlights the complex balancing act between regulatory compliance and market presence in the world’s fastest-growing AI sector.

6. US Moves to Track AI Chip Exports Amid Tech Tensions 🕵

In a timely move to tighten control over advanced AI chip exports, a U.S. senator introduced the "Chip Security Act" requiring location-tracking on export-controlled AI chips to prevent unauthorized use or smuggling, especially targeting China’s access. This legislation comes as export rules are being revisited after former President Trump signaled changes to Biden-era restrictions designed to safeguard U.S. AI leadership.

The bill also mandates exporters to report any diversion or tampering of these chips, aiming to plug loopholes exposed by widespread smuggling incidents.

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 humans 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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