Connect with us

AI Insights

This Artificial Intelligence (AI) Stock Could Hit a $2 Trillion Valuation by July 31

Published

on


  • Meta Platforms’ recent rally has brought its market cap close to the $2 trillion mark.

  • The digital advertising giant’s upcoming earnings report could help it hit this milestone.

  • Meta’s ability to deliver strong returns to advertisers with the help of AI tools could help it grow at a faster pace than the end market in the long run, paving the way for more upside.

  • These 10 stocks could mint the next wave of millionaires ›

Meta Platforms (NASDAQ: META) stock has been rallying impressively of late, gaining more than 32% in the past three months amid the broader rally in technology stocks. As a result, Meta’s market cap has jumped to $1.8 trillion as of this writing on July 14, making it the sixth-largest company in the world.

Meta is slated to release its second-quarter results after the market closes on July 31. The company has been able to grow at a faster pace than the digital ad market thanks to the integration of artificial intelligence (AI) tools into its offerings, which could enable it to deliver another solid set of results later this month.

Given that Meta stock is just 11% away from entering the $2 trillion market cap club as I write this, there is a good chance it could achieve that milestone in July, driven by the tech stock rally and a healthy quarterly report.

META data by YCharts. E = earnings reports.

Let’s look at the reasons why Meta stock is primed for more upside this month and in the long run.

It is worth noting that Meta’s earnings have been better than consensus expectations in each of the last four quarters. One reason is the increase in spending across its family of applications by advertisers. In the first quarter, for instance, Meta reported an impressive increase of 10% year over year in the average price per ad.

Person smiling and looking at a smartphone in a gym.
Image source: Getty Images.

Ad impressions also increased by 5% from the year-ago period, which means the company is delivering more ads. This combination of higher pricing per ad and an increase in impressions delivered enabled Meta to report a 37% year-over-year increase in its earnings to $6.43 per share in Q1. However, investors should also note that the company has been aggressively increasing its capital expenditures (capex) to bolster its AI infrastructure.

It expects to spend $68 billion on capex in 2025, at the midpoint of its guidance range. That would be a massive increase over its 2024 capex of $39 billion. This explains why analysts are expecting Meta’s earnings to increase at a slower year-over-year pace of 13% for the second quarter to $5.84 per share. While the increased investment in AI-focused data center infrastructure is undoubtedly likely to weigh on Meta’s bottom line in the short run, the higher returns its AI investments are generating on the advertising front could help it beat the market’s bottom-line expectations. And beating expectations often sends a stock up, as investors react with excitement and optimism.



Source link

AI Insights

Inside Apple’s Artificial Intelligence Strategy

Published

on


Apple’s artificial intelligence strategy has become something of a paradox: A company famed for redefining consumer technology is now seen as trailing behind in the generative AI boom. Siri, hyped for years as a next-generation personal assistant, falls short of latecomers like Google Assistant and ChatGPT in intelligence and contextual awareness. And the recent debut of the iPhone 17 barely mentioned Apple Intelligence, its AI system that is still largely in the making. 

To this day, the lion’s share of Apple’s AI capabilities are outsourced to third-party systems — an awkward position for a company long renowned for innovation. Now, many are wondering if the world’s most valuable brand will step back for good, let leaders like Google or OpenAI take the lead, and stay squarely in its hardware roots. 

What Is Apple’s AI Strategy?

Apple’s approach to artificial intelligence appears to be slow, yet deliberate. Instead of building massive, general-purpose language models and public-facing chatbots, the company favors small acquisitions, selective partnerships and in-house developments that emphasize privacy and on-device processing.

But, despite the perception of being slow, Apple’s approach follows a familiar pattern. The company has always avoided making splashy acquisitions, instead folding in small teams and technologies strategically until it can scale in-house once the timing is right. This playbook has been repeated time after time, from Apple Maps and Music to its custom silicon chips.

So, what some see as Apple being late to the party is actually a calculated turtle-and-hare strategy playing out — or at least that’s what CEO Tim Cook says. Current partnerships with OpenAI and Anthropic keep Apple in the game while it quietly works on its own foundation models. Whether its next step involves buying, partnering or doubling down on its own research, the expectation is that Apple likely won’t stay behind forever.

Related ReadingGoogle’s Pixel 10 Pushes Smartphones Into the AI-First Era. Can Apple Catch Up?

 

Apple’s AI Strategy at a Glance

Apple’s approach to AI blends small but targeted acquisitions and carefully chosen partnerships with major players. While it hasn’t made any blockbuster moves just yet, the company seems to be quietly shaping its portfolio and shifting talent around to bring more AI development in-house.

The Acquisitions We Know About

During Apple’s third-quarter earnings call, CEO Tim Cook said the company is “very open to” mergers and acquisitions that “accelerate” its product roadmap, and “are not stuck on a certain size company, although the ones that [Apple has] acquired thus far this year are small in nature.”

Only four of these companies have been identified thus far:

  1. WhyLabs: An AI observability platform that monitors machine learning models for anomalies to ensure reliable performance. For Apple, this means more secure generative AI and optimized on-device intelligence.
  2. Common Ground: Formerly known as TrueMeeting, this AI startup focused on creating hyper-realistic digital avatars and virtual meeting experiences. Its tech is likely to fold into Apple’s Vision Pro ecosystem.
  3. RAC7: The two-person video game developer behind mobile arcade title Sneaky Sasquatch. This is Apple’s first-ever in-house studio, which will focus on creating exclusive content for Apple Arcade.
  4. Pointable AI: Three days into the year, Apple bought this AI knowledge-retrieval startup that links enterprise data feeds to large language model workflows. The platform lets Apple create reliable LLM-driven applications that can be integrated into on-device search, AI copilots and automation tools.

Internally, Apple is restructuring its ranks to prioritize AI development within the company, according to Cook.

Companies Apple Is Talking To

Apple has reportedly been exploring the purchase of Mistral AI, a French developer now valued at about $14 billion. Mistral has its own chatbot, Le Chat, which runs on its own AI models, as well as various open-source offerings, consumer apps, developer tools and a wide selection of APIs — all while sharing Apple’s hardline stance on privacy. For a while, Apple was also thinking about acquiring Perplexity, but walked away from the multi-billion-dollar deal in part due to mounting concerns over the AI search engine’s controversial web-scraping practices, which clash with Apple’s emphasis on privacy. Instead, Apple plans to become a direct competitor, beefing up its Siri product.

Meanwhile, Apple’s partnership with Anthropic has expanded significantly over the past few months. The collaboration now includes integrating Anthropic’s Claude model into Apple’s Xcode software, creating a “vibe coding” developer tool that helps write, edit and test code more efficiently. Apple is also considering Anthropic’s models in its long overdue Siri overhaul, with the new version expected to launch in early 2026. 

But it’s not the only contender. Apple confirmed to 9to5Mac that it will be integrating OpenAI’s GPT-5 model with the iOS 26’s fall launch, and has reportedly reached a formal agreement with Google to test a custom Gemini model for the virtual assistant. Internally known as “World Knowledge Answers,” this feature would let users search information from across their entire device and the web, delivering its findings in AI-generated summaries alongside any relevant text, photos, videos and points of interest in a single, digestible view. 

Together, these partnerships with Anthropic, OpenAI and Google give Apple the flexibility to test different AI systems and products and see which fits best into their existing systems, while also keeping their cards close to the chest.

How the Google Search Deal Fits In

Apple’s AI plans are also closely tied to its $20 billion-per-year search deal with Google, which makes Google’s search engine the default in Apple’s Safari browser and Siri. That contract accounts for a massive portion of Apple’s Services revenue — roughly 20 percent — giving the company the financial freedom to take a slower, more deliberate approach to AI. 

Fortunately for Apple, this deal is still allowed under Google’s recent antitrust ruling. But if regulators ever choose to limit or terminate the deal, Apple would lose a critical cash stream and be forced to build its own solution. That looming risk could force Apple’s typical cautious approach into a sprint, making partnerships, acquisitions and internal development more urgent.

Related ReadingAI-First Devices Are Coming. Could Any of Them Replace the iPhone?

 

Why Is Apple Moving Slowly on AI?

Apple’s slow pace largely stems from a push-pull standoff between two top executives at the company. Eddy Cue, the senior vice president of Services, has long championed bold acquisitions to accelerate growth, while Craig Federighi, who oversees Apple’s operating system, wants to focus on building from within. Cue’s camp believes that buying startups is the key to gaining the upper hand in AI, whereas Federighi’s side sees acquisitions as a source of complexity and cultural friction.

At this point, Apple stands in stark contrast to competitors like Google, Meta and Microsoft, which are spending billions to acquire startups and poach top AI talent with hundred-million-dollar signing bonuses and even higher compensation packages. Instead, Apple has stuck to its cautious playbook, which has probably spared it from some costly missteps over the years. But it also leaves it vulnerable. If its rivals continue to outpace it in AI investment and adoption, Apple’s reputation of being “too big to fail” may face its toughest test yet. 

 

Apple’s History of Selective  Acquisitions

Apple has made more than 100 acquisitions in its history, but almost all were small, quiet and tech-driven. Now, with $133 billion in spending money, the company has enough to make a mega AI acquisition. But, given Apple’s patterned behavior of restraint, it may choose not to — which is why the current, multi-billion-dollar speculation around the company’s next move is such a big deal.

Here is a quick look at Apple’s past money moves:

1997 — NeXT ($400 million): This was the computer company Steve Jobs founded after leaving Apple. Once acquired, it brought Jobs back to the company as well as the foundation for the operating systems used for macOS and iOS. 

2005 — FingerWorks (undisclosed amount): A startup that made gesture-recognition tech that enabled the iPhone’s multi-touch interface.

2008 – PA Semi ($278 million): Chip design firm that gave Apple the know-how to build its own silicon, leading to the A-series processors in iPhones and iPads and the M-series in Macs.

2010 – Siri ($200 million): A voice-assistant startup spun out of SRI International, Siri brought conversational AI to the iPhone and became a core iOS feature.

2012 – AuthenTec ($356 million): The fingerprint sensor company behind Touch ID.

2013 – PrimeSense (about $350 million): The 3D sensing tech that powered Face ID and AR depth cameras.

2014 – Beats Electronics ($3 billion): Apple’s largest-ever acquisition brought premium headphones, the Beats Music streaming service and key executives like Jimmy Lovine and Dr. Dre to the company, both of whom helped jumpstart Apple Music.

2018 – Shazam ($400 million): A music recognition app that was integrated into Siri and Apple Music.

2020 – Xnor.ai ($200 million): An edge AI startup that boosted Apple’s on-device, privacy-first AI by running machine learning models directly on devices, eliminating the need to send data to the cloud.

Related ReadingCan We Figure Out What Apple Is Doing With AI?

Does Apple use AI?

Yes, Apple has long incorporated artificial intelligence into its devices through features like Face ID, Siri and Apple Pay. The company’s proprietary AI system, Apple Intelligence, has been integrated across iOS, iPad OS and macOS. 

Is Apple building its own AI?

Yes, Apple is actively developing its own artificial intelligence system, called Apple Intelligence. It is also working on a massive Siri upgrade, which is slated to roll out in 2026.

What AI companies has Apple bought?

Some of the AI companies Apple has acquired over the years include:

  1. WhyLabs: An AI observability platform that monitors machine learning models for anomalies to ensure reliable performance. 
  2. Common Ground: An AI startup focused on creating hyper-realistic digital avatars and virtual meeting experiences. Its tech is likely to fold into Apple’s Vision Pro ecosystem.
  3. Pointable AI: An AI knowledge-retrieval startup that links enterprise data feeds to large language model workflows. 
  4. Siri: A voice assistant spun out of SRI International that Apple has since integrated as a core iOS feature.
  5. AuthenTec: A fingerprint sensor company that Apple used to offer Touch ID.
  6. PrimeSense: 3D sensing technology that powers Apple’s FaceID and AR depth cameras.
  7. Shazam: A music recognition app that was integrated into Siri and Apple Music.
  8. Xnor.ai: Edge AI tech used to boost Apple’s on-device, privacy-first AI by running machine learning models directly on the device, without having to send any data to the cloud.  



Source link

Continue Reading

AI Insights

VWAGY’s Big AI Bet: Automakers Race to Harness Artificial Intelligence – September 11, 2025

Published

on


Key Takeaways

  • Volkswagen expects smarter AI-driven processes to save as much as 4 billion euros by 2035.
  • General Motors partners with NVIDIA to use GPUs and digital twins for smarter manufacturing.
  • Stellantis teams with Mistral AI, while BMW works with Alibaba to advance AI-driven assistants.

The automotive world is changing fast, with artificial intelligence (AI) becoming an integral part of it. German auto giant Volkswagen (VWAGY Free Report) made headlines by pledging up to €1 billion ($1.18 billion) by 2030 to bring AI into vehicle development, factories, IT, and cybersecurity. The company hopes that smarter processes will not only speed up building new cars but also save up to €4 billion by 2035.

AI Across the Entire Value Chain

This push comes at a critical moment. Volkswagen is facing rising competition in China and pressure to cut costs in Europe, signaling that traditional manufacturing alone may no longer be enough to maintain its edge. By investing in AI, the company aims to accelerate innovation cycles and enhance efficiency. For Volkswagen, AI is expected to transform every layer of the business—from design and simulation to cybersecurity to how fast it can test and validate new vehicles.

VWAGY currently carries a Zacks Rank #3 (Hold). You can see the complete list of today’s Zacks #1 Rank (Strong Buy) stocks here.

AI is already reshaping the way people interact with vehicles, from in-car voice assistants to predictive maintenance and over-the-air updates. Automakers are quickly moving to make these technologies part of everyday driving. While every automaker may not be disclosing the AI investments they are making, their strategic alliances with top AI firms signal equally deep commitments.

GM, BMW and STLA’s AI Collaborations

U.S. legacy automaker General Motors (GM Free Report) is deepening its AI capabilities through a partnership with NVIDIA (NVDA Free Report) . GM has been using NVIDIA GPUs to simulate and validate advanced driving systems. The two companies are collaborating on a wide range of projects, from AI model training to in-vehicle hardware. General Motors is using the NVIDIA Omniverse platform to build digital twins of assembly lines.

These virtual environments allow General Motors to test and refine manufacturing processes before implementing them in the real world, reducing downtime and costs. In addition, General Motors will deploy NVIDIA DRIVE AGX in future vehicles for advanced driver-assistance systems and enhanced in-cabin safety features. NVIDIA is quickly establishing itself as the leading AI hardware and software partner for automakers.

Italian American automaker Stellantis (STLA Free Report) is leaning on partnerships with AI specialists to improve both customer-facing and back-end operations. Its collaboration with Mistral AI covers vehicle engineering, manufacturing optimization and fleet data analysis. The partnership leverages Mistral’s expertise in large language models to accelerate development timelines and boost quality. Stellantis is also working with Mistral AI to build AI-driven assistants that act like conversational manuals for drivers.

Volkswagen’s close peer, BMW, has teamed up with Alibaba to make its Intelligent Personal Assistant (IPA) smarter. They are building a new AI engine together, based on Alibaba’s Yan AI from Banma’s smart cockpit system. This upgraded AI assistant will appear in BMW Neue Klasse cars made in China from 2026, aiming to make the driving experience more intuitive and interactive.

TSLA’s Unique Approach

Unlike these legacy automakers, Tesla (TSLA Free Report) is positioning itself as more than just a car company. It is pivoting its core focus to AI, autonomous vehicles, and robotics. Tesla’s efforts include Full Self-Driving neural networks, autonomous driving systems, and the Optimus robot project. This approach gives Tesla a head start in innovation and sets it apart from traditional automakers.

The Road Ahead

AI is no longer a side project for automakers—it’s essential for staying competitive. Companies that integrate AI effectively—whether through in-house innovation like Tesla, big investments like Volkswagen, or smart partnerships like General Motors, BMW and Stellantis—will gain a lasting advantage in speed, efficiency, and customer experience. For automakers, keeping pace with AI isn’t optional anymore—it will decide who leads the future of mobility.



Source link

Continue Reading

AI Insights

Dick Yarbrough: A semi-intelligent look at artificial intelligence

Published

on


Dick Yarbrough

Syndicated columnist

Dr. Geoffrey Hinton is a British-Canadian cognitive psychologist and computer scientist who won the Nobel Prize in Physics last year “for foundational discoveries and inventions that enable machine learning with artificial neural networks.” Between you and me, I got hosed. I should have been a winner.

The Nobel committee obviously overlooked my own entry entitled, “One molecule of glucose bound to one molecule of fructose will make sugar and winning the Nobel Prize sure would be sweet.” I don’t think they know a lot about physics over there in Norway.

Just as I am known as a modest yet much-beloved columnist who bears an uncanny resemblance to a young Brad Pitt, Dr.

Hinton, who looks nothing like Brad Pitt, young or old, is considered the Godfather of Artificial Intelligence. That’s like being Godfather of the Mafia. Only worse.

If somebody in the Mafia got out of hand, you would just shoot them or put them in a tub of concrete and deposit them in the East River. According to Dr. Hinton, artificial intelligence is likely to get rid of anybody left in the Mafia and the rest of us as well, and it won’t need a gun or a sack of concrete to do it.

“It’s not inconceivable,” he has stated, “that artificial intelligence could wipe out humanity,” saying that there was a “10 to 20 percent chance” that AI would be the cause of human extinction within the following three decades. In fact, many experts expect AI to advance, probably in the next 20 years, to be “smarter than people.”

Admittedly, I am not the go-to person on the subjects of cognitive psychology and computer science (although knowing how sugar is made is pretty impressive), but I would posit that it is not going to take 20 years for artificial intelligence to get smarter than people.

That’s already occurred in some instances. Just look at Congress.

Can you see a computer saying, “Beep! Beep!

Hey, I want to suck up to Donald Trump. I think I will propose changing the name of Greenland to Red, White and Blueland and then he will get me elected to the Senate where I can do other dumb stuff. Boop!” There are some things a computer won’t do, even if a member of Congress will.

Dr. Hinton also worries about the impact of AI on religion. He says, “I think religion will be in trouble if we create other beings. Once we start creating beings that can think for themselves and do things for themselves, maybe even have bodies if they’re robots, we may start realizing we’re less special than we thought.

And the idea that we’re very special and we were made in the image of God, that idea may go out the window.” An interesting observation.

Theologically speaking, if computers become robots, will there be girl robots and boy robots?

If so, will boy robots let girl robots in the pulpit?

Or will the boy robots tell other robots that if they think girl robots should be allowed to preach, they will be condemned to spend eternity in an electronic waste disposal bin at Best Buys?

As to whether or not we are made in the image of God, I believe that’s God’s call, not mine. Creation is His thing. I will say that had God asked me, there are a few people He created that I think we could just as soon done without. I couldn’t find His image in them with a flashlight. Maybe He just put them here to show us He has a sense of humor.

I probably won’t be around to see how all this plays out, but despite the Godfather of AI’s ominous warning, no robot will ever make me feel less special. I’ve got a family that loves me more than I deserve. I have friends that have stood with me through the good times and the bad. I had a rewarding career. I am blessed to live in this special state in this special country.

Most of all, thanks to a benevolent editor willing overlook misplaced commas and grammatical errors (Is it who or whom?), I have the opportunity to share my thoughts with you each week and to receive your feedback. That may come in the form of a kudo or a rap on the knuckles. I suspect robots won’t give a flying algorithm for you or your opinions. I do.

And there is nothing artificial about that.

You can reach Dick Yarbrough at dick@dickyarbrough. com or at P.O. Box 725373, Atlanta, Georgia 31139.



Source link

Continue Reading

Trending