• Did Apple just change AI forever by giving billions their first taste of Generative AI? 

  (Yes Apple does have multiple at least two billion devices in the wild) 

• Will the U.S. federal government shut down AI progress in its tracks with some big-name investigations? 

• And will a new AI video tool potential do more damage than good? 

So many questions in AI news this week, in what could be one of the most consequential weeks in Generative AI ever. 

Even as a group that covers AI (legit) every day, this week is offering more than can fit on your plate.

So, as we do almost every Monday, we’re breaking down the AI news that matters. 

Cut through the fluff, the marketing and the B.S. 

Here’s what you actually need to know in the world of GenAI. 

If it seems like Apple’s been sitting on the AI sidelines for years, it’s because they have.

But, Apple’s finally in the game after their (groundbreaking?) announcement on their AI plans. 

In what we’ve been reporting on for months, Apple made things official with OpenAI in its ‘Apple Intelligence’ unveiling at its Worldwide Developers Conference.

Apple’s trying to flip the script at WWDC by trying to give Artificial Intelligence an Apple facelift. 

(That just means millions of dollars in marketing and shiny UI graphics, which gave us ‘Apple Intelligence.’) 

Here’s the high level bullet points of what Apple announced:

• Apple Intelligence:

  Includes AI features for various Apple platforms.

  Enables phone-wide searches, managing notifications, automatic writing, text summarization, and cross-app actions.

• Siri AI Enhancements:

  Improved natural language interactions and typing prompt capabilities.

  New features include scheduling text messages, on-screen awareness, and in-app actions.

• Siri and ChatGPT 4o:

  Siri will be assisted by OpenAI's ChatGPT-4.o model and use ChatGPT’s knowledge for extended search results and answers.

  Will be integrated into iOS, macOS, and iPadOS.

• On-Device Processing:

  Ensures privacy by processing AI features on-device.

  Requires A17 Pro or M-series chip for optimal performance.

• Private Cloud:

  Data stored in "Private Cloud" for cloud-based AI features, ensuring privacy.

• Genmoji:

  Generates custom emoji-like reactions on demand.

What it means: 

This is hot off the presses.

As we send this email out, Apple’s first day hasn’t even wrapped up. 

Our initial takes are meh. 

Yeah, we’ve been covering Apple’s rumored AI plans for months, so nothing here is super unexpected. 

• Is Apple gonna win some brownie points from the public? Absolutely. 

• Will their stock probably soar with analysts not really in the know? Probably. 

• But did Apple drop the ball and give all the power to a big competitor? Yup. 

Confusing? 

A bit. 

But reports are shedding some new light on Elon Musk’s kinda puzzling moves behind why he diverted thousands of NVIDIA GPU chips away from Tesla and instead is sending them to one of his other companies, xAI

• The move is reportedly part of Musk’s plans to create a ‘Gigafactory of Compute’ in Memphis, which could be one of the largest supercomputer centers in the U.S. (Until we see Stargate from OpenAI and Microsoft.)

• Musk claimed that Tesla lacked the infrastructure to utilize the chips, which would have otherwise remained collecting dust in a warehouse.

• This diversion has caused delays in setting up Tesla's supercomputers, potentially impacting its AI projects and rekindling shareholder concerns about Musk's focus.

We tend to agree here, as these moves kinda point to an Elon power grab at Tesla.

Like… ‘Oh, you don’t wanna give me more control at Tesla?

OK, lemme ‘borrow’ all this NVIDIA compute for one of my other companies. Okthanksbye.’ 

What it means: 

Probably not good things for Tesla.

Right now, Musk is in the midst of a shareholder vote on a controversial $56 billion pay package. The timing of diverting thousands of GPUs from Tesla to xAI might not please Tesla shareholders and could send Tesla’s struggling stock spirling down even more. 

We broke down some troubling Tesla-AI and Musk musings a few weeks ago, as well as his thoughts that AI will make jobs ‘optional.’ 

NVIDIA just pulled a fast one and briefly overtook Apple as the second most valuable public company in the U.S., hitting over a $3 trillion market cap. 

And with Apple’s WWDC announcements this week and NVIDIA’s recent 10-to-1 stock split, expect the two to be jostling all week, shuffling in the #2 and #3 spots behind Microsoft holding steady at #1. 

NVIDIA added $1 trillion to their market cap in just 37 days — faster than any company ever. 

(That’s some original reporting from us over here at Everyday AI. So once the rest of the world starts talking about that in the coming months, you know where it came from shorties.) 

𝘈𝘭𝘭 𝘵𝘩𝘦 𝘰𝘵𝘩𝘦𝘳 𝘨𝘪𝘢𝘯𝘵 𝘤𝘰𝘮𝘱𝘢𝘯𝘪𝘦𝘴 𝘵𝘩𝘢𝘵 𝘩𝘢𝘷𝘦 𝘢𝘥𝘥𝘦𝘥 $1 𝘵𝘳𝘪𝘭𝘭𝘪𝘰𝘯 𝘵𝘰 𝘵𝘩𝘦𝘪𝘳 𝘮𝘢𝘳𝘬𝘦𝘵 𝘤𝘢𝘱?

🛑 Apple -- about 15 months.

🛑 Amazon -- about 10 months.

🛑 Microsoft -- about two years.

🛑 Google -- About 22 months.

✅ NVIDIA -- about 37 days.

Their stock has tripled over the past year, and they’re dropping new AI chip platforms left and right, like the upcoming Rubin. This growth is bonkers and has everyone talking.

What it means:

NVIDIA is absolutely killing it.

They’ve cemented their place as the backbone of AI development with their GPUs, and this insane growth is proof of that.

If you’re invested in NVIDIA, you’re probably smiling ear to ear right now. For Apple, this back-and-forth jostle might be a wake-up call to step up their AI game.

The real winners here are NVIDIA’s shareholders, riding this wild growth wave. Keep an eye on this space, because the AI chip war is just heating up.

Move over, OpenAI?

Maybe. 

Chinese company Kuaishou launched Kling, a text-to-video AI tool that’s already being hailed as a serious competitor to OpenAI’s unreleased Sora.

Kling can whip up 1080p HD videos from just text prompts, perfect for content creators and marketers. Early reviews from China are pretty glowing, making it look like the real deal.

Like… look at this. 

Nutty. 

What it means:

The AI video game just got a lot more interesting.

With Kling on the scene, OpenAI’s Sora isn’t the only big player anymore. This could push OpenAI to release Sora sooner and with even better features. 

For content creators, more competition means better tools and more options.

But also, brace yourself for a flood of deepfakes and AI-generated videos—it’s about to get harder to tell what’s real and what’s not.

This tech is amazing, but it’s also a bit scary in terms of potential misuse.

Yeah, a rare instance of ‘so good it’s scary.’ 

Looks like if you’re too big and too dominant, the Feds are gonna come a knocking. 

The DOJ and FTC are sniffing around Microsoft, OpenAI, and NVIDIA for possible antitrust violations. 

• They’re worried these giants might be dominating the market too much and playing dirty with data practices.

• Microsoft’s huge investments in OpenAI and Inflection AI are under scrutiny, as is NVIDIA’s 80% hold on the AI chip market. 

The feds want to know if these companies are playing fair.

What it means:

Big Tech might face some big fines, but will it change anything?

Probably not. 

These investigations could slow down some deals or make companies more cautious, but it’s unlikely to break their stranglehold on the market.

Microsoft, OpenAI, and NVIDIA have just been too smart and too fast for their competitors. Expect a lot of noise and maybe some regulatory tweaks, but don’t count on major shakeups. 

The AI giants will keep rolling on. 

It’s not that they’re too big to fail. 

It’s that they’re too important to the U.S. economy to (actually) punish. 

Cisco is dropping $1 billion on AI, partnering with NVIDIA to roll out new AI clusters.

They’re calling it Cisco Nexus Hyperfabric AI clusters — fancy, huh? And a mouthful. 

But despite this big splash, their stock didn’t see much of a bump. Analysts are skeptical about how this fits into Cisco’s core business and whether it’ll pay off.

What it means:

Cisco is trying to get a piece of the AI pie, but the market isn’t convinced yet. Partnering with NVIDIA is smart— if you can’t beat ’em, join ’em, right? 

But Cisco has to prove that this investment will actually benefit their main business.

If they can show results, their stock might finally get a boost. Until then, it’s a wait-and-see game.