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Prediction: 2 Artificial Intelligence (AI) Stocks Will Be Worth More Than Palantir Technologies by 2030

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Shopify and Uber Technologies could match Palantir’s current market value within five years.

Palantir Technologies shares have advanced 1,760% since the launch of its artificial intelligence platform in April 2023. Its market capitalization now stands at $369 billion as of September 8, which puts it among the 30 largest public companies in the world.

I think Shopify (SHOP -1.86%) and Uber Technologies (UBER 1.05%) can surpass Palantir’s current market capitalization within five years. Here’s what that means for shareholders:

  • Shopify is worth $189 billion. Its market value must increase 96% to hit $370 billion, in which case the stock would return more than 14% annually over the next five years.
  • Uber is worth $197 billion. Its market value must increase 88% to hit $370 billion, in which case the stock would return more than 13% annually over the next five years.

Importantly, the S&P 500 (^GSPC 0.27%) has historically advanced roughly 10% per year, so my predictions almost certainly imply market-beating returns for Shopify and Uber shareholders. Here’s why I’m confident.

Image source: Getty Images.

1. Shopify

Shopify reported excellent financial results in the second quarter, beating estimates on the top and bottom lines. Revenue increased 31% to $2.6 billion as growth accelerated across North American, Europe, and Asia-Pacific. Non-GAAP net income increased 35% to $0.35 per diluted share.

The investment thesis for Shopify centers on its leadership in e-commerce software. Its platform helps merchants manage their businesses across physical and digital storefronts from a single dashboard. The company also provides adjacent solutions for payments, advertising, logistics, and cross-border commerce.

Shopify is focused on several strategic growth areas, including business-to-business (B2B) commerce, a category that is three times bigger than business-to-consumer (B2C) commerce and growing just as quickly. Forrester Research last year recognized Shopify as a leader in B2B commerce solutions, validating its push into the market. The company said B2B sales increased 101% in the second quarter.

Shopify is leaning into demand for artificial intelligence (AI). Shopify Magic is a suite of AI features that help merchants automate tasks like writing product descriptions, generating marketing content, and providing customer support. Additionally, the company earlier this year introduced an AI tool that builds entire online storefronts from a few keywords.

Wall Street expects Shopify’s earnings to increase at 34% annually during the next three to five years. That makes the current valuation of 81 times earnings look somewhat expensive. But if Shopify meets the consensus estimate, its price-to-earnings multiple could fall to 38 while its market value increased 100% to $378 billion by mid-2030. That means Shopify can surpass Palantir’s current market value within five years.

2. Uber Technologies

Uber reported encouraging financial results in the second quarter. beating the consensus estimate on the top line and matching the consensus estimate on the bottom line. Revenue increased 18% to $12.7 billion, an acceleration from 14% growth in the previous quarter, because of strength in the mobility and delivery segments. GAAP net income increased 34% to $0.63 per diluted share.

Uber may not be top of mind when investors think about artificial intelligence stocks, but the company uses AI to set prices, match drivers and riders, and optimize routes. Moreover, its position as the largest on-demand mobility and delivery platform in the world makes it an ideal partner for autonomous driving companies that want to commercialize robotaxi services.

Uber has partnered with 20 autonomous driving companies, including Alphabet‘s Waymo, Pony AI, and WeRide. Robotaxis are already available on its platform in four markets: Atlanta, Austin, and Phoenix in the United States; and Abu Dhabi in the United Arab Emirates. Uber expects about five more deployments in 2025, with more to follow in 2026.

Additionally, Uber in some cases is helping partner companies develop autonomous driving technology. “An underappreciated aspect of our strategy is just how central we are to the real-world AI revolution,” said CEO Dara Khosrowshahi in prepared remarks. “The advanced AI systems that perceive, predict, and make split-second decisions on the road need enormous amounts of data, and Uber has the most relevant mobility ride-hail dataset in the world.”

Wall Street expects Uber’s earnings to increase at 22% annually over the next three to five years. That makes the current valuation of 16 times earnings look relatively cheap. And if Uber meets that consensus, its price-to-earnings ratio could fall to 12 while its market value increased 105% to $387 billion by mid-2030. That means Uber can surpass Palantir’s current market value within five years.

Trevor Jennewine has positions in Palantir Technologies and Shopify. The Motley Fool has positions in and recommends Alphabet, Palantir Technologies, Shopify, and Uber Technologies. The Motley Fool has a disclosure policy.



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Brown awarded $20 million to lead artificial intelligence research institute aimed at mental health support

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A $20 million grant from the National Science Foundation will support the new AI Research Institute on Interaction for AI Assistants, called ARIA, based at Brown to study human-artificial intelligence interactions and mental health. The initiative, announced in July, aims to help develop AI support for mental and behavioral health. 

“The reason we’re focusing on mental health is because we think this represents a lot of the really big, really hard problems that current AI can’t handle,” said Associate Professor of Computer Science and Cognitive and Psychological Sciences Ellie Pavlick, who will lead ARIA. After viewing news stories about AI chatbots’ damage to users’ mental health, Pavlick sees renewed urgency in asking, “What do we actually want from AI?”

The initiative is part of a bigger investment from the NSF to support the goals of the White House’s AI Action Plan, according to a NSF press release. This “public-private investment,” the press release says, will “sustain and enhance America’s global AI dominance.”

According to Pavlick, she and her fellow researchers submitted the proposal for ARIA “years ago, long before the administration change,” but the response was “very delayed” due to “a lot of uncertainty at (the) NSF.” 

One of these collaborators was Michael Frank, the director of the Center for Computational Brain Science at the Carney Institute and a professor of psychology. 

Frank, who was already working with Pavlick on projects related to AI and human learning, said that the goal is to tie together collaborations of members from different fields “more systematically and more broadly.”

According to Roman Feiman, an assistant professor of cognitive and psychological sciences and linguistics and another member of the ARIA team, the goal of the initiative is to “develop better virtual assistants.” But that goal includes various obstacles to ensure the machines “treat humans well,” behave ethically and remain controllable. 

Within the study, some “people work basic cognitive neuroscience, other people work more on human machine interaction (and) other people work more on policy and society,” Pavlick explained. 

Although the ARIA team consists of many faculty and students at Brown, according to Pavlick, other institutions like Carnegie Mellon University, University of New Mexico and Dartmouth are also involved. On top of “basic science” research, ARIA’s research also examines the best practices for patient safety and the legal implications of AI. 

“As everybody currently knows, people are relying on (large language models) a lot, and I think many people who rely on them don’t really know how best to use them, and don’t entirely understand their limitations,” Feiman said.

According to Frank, the goal is not to “replace human therapists,” but rather to assist them.

Assistant Professor of the Practice of Computer Science and Philosophy Julia Netter, who studies the ethics of technology and responsible computing and is not involved in ARIA, said that ARIA has “the right approach.” 

Netter said ARIA approach differs from previous research “in that it really tried to bring in experts from other areas, people who know about mental health” and others, rather than those who focus solely on computer science.

But the ethics of using AI in a mental health context is a “tricky question,” she added.

“This is an area that touches people at a point in time when they are very, very vulnerable,” Netter said, adding that any interventions that arise from this research should be “well-tested.” 

“You’re touching an area of a person’s life that really has the potential of making a huge difference, positive or negative,” she added.

Because AI is “not going anywhere,” Frank said he is excited to “understand and control it in ways that are used for good.”

“My hope is that there will be a shift from just trying stuff and seeing what gets a better product,” Feiman said. “I think there’s real potential for scientific enterprise — not just a profit-making enterprise — of figuring out what is actually the best way to use these things to improve people’s lives.”

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BITSoM launches AI research and innovation lab to shape future leaders

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Mumbai: The BITS School of Management (BITSoM), under the aegis of BITS Pilani, a leading private university, will inaugurate its new BITSoM Research in AI and Innovation (BRAIN) Lab in its Kalyan Campus on Friday. The lab is designed to prepare future leaders for workplaces transformed by artificial intelligence, on Friday on its Kalyan campus.

BITSoM launches AI research and innovation lab to shape future leaders

While explaining the concept of the laboratory, professor Saravanan Kesavan, dean of BITSoM, said that the BRAIN Lab had three core pillars–teaching, research, and outreach. Kesavan said, “It provides MBA (masters in business administration) students a dedicated space equipped with high-performance AI computers capable of handling tasks such as computer vision and large-scale data analysis. Students will not only learn about AI concepts in theory but also experiment with real-world applications.” Kesavan added that each graduating student would be expected to develop an AI product as part of their coursework, giving them first-hand experience in innovation and problem-solving.

The BRAIN lab is also designed to be a hub of collaboration where researchers can conduct projects in partnership with various companies and industries, creating a repository of practical AI tools to use. Kesavan said, “The initial focus areas (of the lab) include manufacturing, healthcare, banking and financial services, and Global Capability Centres (subsidiaries of multinational corporations that perform specialised functions).” He added that the case studies and research from the lab will be made freely available to schools, colleges, researchers, and corporate partners, ensuring that the benefits of the lab reach beyond the BITSoM campus.

BITSoM also plans to use the BRAIN Lab as a launchpad for startups. An AI programme will support entrepreneurs in developing solutions as per their needs while connecting them to venture capital networks in India and Silicon Valley. This will give young companies the chance to refine their ideas with guidance from both academics and industry leaders.

The centre’s physical setup resembles a modern computer lab, with dedicated workspaces, collaborative meeting rooms, and brainstorming zones. It has been designed to encourage creativity, allowing students to visualise how AI works, customise tools for different industries, and allow their technical capabilities to translate into business impacts.

In the context of a global workplace that is embracing AI, Kesavan said, “Future leaders need to understand not just how to manage people but also how to manage a workforce that combines humans and AI agents. Our goal is to ensure every student graduating from BITSoM is equipped with the skills to build AI products and apply them effectively in business.”

Kesavan said that advisors from reputed institutions such as Harvard, Johns Hopkins, the University of Chicago, and industry professionals from global companies will provide guidance to students at the lab. Alongside student training, BITSoM also plans to run reskilling programmes for working professionals, extending its impact beyond the campus.



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AI grading issue affects hundreds of MCAS essays in Mass. – NBC Boston

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The use of artificial intelligence to score statewide standardized tests resulted in errors that affected hundreds of exams, the NBC10 Investigators have learned.

The issue with the Massachusetts Comprehensive Assessment System (MCAS) surfaced over the summer, when preliminary results for the exams were distributed to districts.

The state’s testing contractor, Cognia, found roughly 1,400 essays did not receive the correct scores, according to a spokesperson with the Department of Elementary and Secondary Education.

DESE told NBC10 Boston all the essays were rescored, affected districts received notification, and all their data was corrected in August.

So how did humans detect the problem?

We found one example in Lowell. Turns out an alert teacher at Reilly Elementary School was reading through her third-grade students’ essays over the summer. When the instructor looked up the scores some of the students received, something did not add up.

The teacher notified the school principal, who then flagged the issue with district leaders.

“We were on alert that there could be a learning curve with AI,” said Wendy Crocker-Roberge, an assistant superintendent in the Lowell school district.

AI essay scoring works by using human-scored exemplars of what essays at each score point look like, according to DESE.

DESE pointed out the affected exams represent a small percentage of the roughly 750,000 MCAS essays statewide.

The AI tool uses that information to score the essays. In addition, humans give 10% of the AI-scored essays a second read and compare their scores with the AI score to make sure there aren’t discrepancies. AI scoring was used for the same amount of essays in 2025 as in 2024, DESE said.

Crocker-Roberge said she decided to read about 1,000 essays in Lowell, but it was tough to pinpoint the exact reason some students did not receive proper credit.

However, it was clear the AI technology was deducting points without justification. For instance, Crocker-Roberge said she noticed that some essays lost a point when they did not use quotation marks when referencing a passage from the reading excerpt.

“We could not understand why an individual score was scored a zero when it should have gotten six out of seven points,” Crocker-Roberge said. “There just wasn’t any rhyme or reason to that.”

District leaders notified DESE about the problem, which resulted in approximately 1,400 essays being rescored. The state agency says the scoring problem was the result of a “temporary technical issue in the process.”

According to DESE, 145 districts were notified that had at least one student essay that was not scored correctly.

“As one way of checking that MCAS scores are accurate, DESE releases preliminary MCAS results to districts and gives them time to report any issues during a discrepancy period each year,” a DESE spokesperson wrote in a statement.

Mary Tamer, the executive director of MassPotential, an organization that advocates for educational improvement, said there are a lot of positives to using AI and returning scores back to school districts faster so appropriate action can be taken. For instance, test results can help identify a child in need of intervention or highlight a lesson plan for a teacher that did not seem to resonate with students.

“I think there’s a lot of benefits that outweigh the risks,” said Tamer. “But again, no system is perfect and that’s true for AI. The work always has to be doublechecked.”

DESE pointed out the affected exams represent a small percentage of the roughly 750,000 MCAS essays statewide.

However, in districts like Lowell, there are certain schools tracked by DESE to ensure progress is being made and performance standards are met.

That’s why Crocker-Roberge said every score counts.

With MCAS results expected to be released to parents in the coming weeks, the assistant superintendent is encouraging other districts to do a deep dive on their student essays to make sure they don’t notice any scoring discrepancies.

“I think we have to always proceed with caution when we’re introducing new tools and techniques,” Crocker-Roberge said. “Artificial intelligence is just a really new learning curve for everyone, so proceed with caution.”

There’s a new major push for AI training in the Bay State, where educators are getting savvier by the second. NBC10 Boston education reporter Lauren Melendez has the full story.



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