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This Monster Stock Gained 2,390% Over the Last 5 Years, Crushing Each of the “Magnificent Seven” and Palantir. It Has Nothing to Do With Artificial Intelligence (AI), and It’s Still Dirt Cheap!

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  • Artificial intelligence (AI) has represented a generational catalyst for the stock market in recent years, particularly in the technology sector.

  • Prior to AI entering the spotlight, many of today’s favorite tech stocks were viewed as speculative or “boring” blue chips whose best days were in the rearview mirror.

  • In the background, a once-struggling retailer turned around its operation and won the hearts of new customers … and investors.

  • 10 stocks we like better than Build-A-Bear Workshop ›

Over the last few years, no theme has captured Wall Street’s imagination quite like artificial intelligence (AI). Since AI burst into the mainstream in late 2022, investors have watched several companies climb into the trillion-dollar club. Chief among them is semiconductor giant Nvidia — whose market value has surged more than twelvefold, making it the most valuable company in the world.

Beyond Nvidia, the so-called “Magnificent Seven” megacap tech titans have also thrived amid the AI revolution. And let’s not forget about Palantir Technologies — the data mining specialist that has quickly evolved from an elusive government contractor into a core operating system for Fortune 500 companies and military agencies alike.

AI has served as a once-in-a-generation catalyst for the tech sector. But not too long ago, many of these companies were dismissed as either speculative bets with limited use cases or mundane blue chips unlikely to deliver outsized gains.

Image source: Getty Images.

Meanwhile, operating far from the AI spotlight was specialty retailer Build-A-Bear Workshop (NYSE: BBW) — whose eye-popping 2,390% gain over the last five years has made it one of the best investment choices in the market, even more so than big tech.

BBW Chart
BBW data by YCharts

This leads to an obvious question: How in the world did this happen?

While Build-a-Bear may not be found in splashy AI headlines, its stock has quietly become a monster. The best part? Despite its staggering returns, there’s a compelling case that the stock remains dirt cheap and further gains are on the horizon.

The last several years have featured a number of headwinds that seemed almost insurmountable for Build-a-Bear. Consumer shopping patterns have been shifting online for years, with the so-called “Amazon Effect” blistering traditional brick-and-mortar retailers.

Moreover, rising inflation and elevated borrowing costs have weighed heavily on consumer purchasing power. For many households, discretionary purchases are the first things that get cut. That spelled even more risk for Build-a-Bear, whose core business of selling custom plush toys is far from an essential service.

US Inflation Rate Chart
US Inflation Rate data by YCharts

So, how did Build-a-Bear actually reinvent itself against all odds?

While brick-and-mortar has faced relentless challenges in recent years, it’s worth noting that other adjacent forms of retail have faced pressure, too. Theme parks, cruise lines, and movie theaters were some of the hardest hit by the aftermath of the COVID-19 pandemic and broader economic slowdown.

Recognizing this shift, Build-a-Bear leaned into a new strategy: Transforming its stores from traditional shops into experiential retail destinations. For families unable to justify a high-cost vacation, Build-a-Bear offered a compelling alternative — an immersive, memory-making experience at a fraction of the price. This pivot was the first step in the company’s impressive turnaround.

Once Build-a-Bear proved its in-store experiences were worth the time and money, it doubled down by forging a series of strategic licensing partnerships. Deals with Walt Disney, Pokémon, and even the NFL dramatically expanded the company’s intellectual property (IP) portfolio beyond generic plush animals. Moreover, these partnerships didn’t just bring new characters to Build-a-Bear, they unlocked entirely new customer demographics.

Today, Build-a-Bear is no longer just a storefront for kids. It has evolved into a destination that appeals to multiple generations — from nostalgic adults to fans of the booming collectibles market.

By blending experiences with exclusive IP, Build-a-Bear has unlocked key ways to stay relevant. Furthermore, the company’s expanding portfolio fuels repeat business as fans return for each new character release — turning casual visits into loyal, recurring traffic.

Build-a-Bear’s operational turnaround has translated into accelerating revenue, widening gross profit margins (EPS), and robust earnings growth — all now hovering near five-year highs.

BBW Revenue (TTM) Chart
BBW Revenue (TTM) data by YCharts

Yet despite this strong execution, Build-a-Bear stock still looks dirt cheap.

Even after delivering a near-2,400% return, shares trade at a modest price-to-earnings (P/E) and forward P/E multiple of 15 and 18, respectively. For context, the average P/E ratio and forward P/E across the S&P 500 sits at 26 and 23, respectively.

This valuation gap suggests investors believe they’ll capture more upside in the broader market than in Build-a-Bear. But here’s the catch: Much of the S&P’s froth is concentrated among big tech — the very names Build-a-Bear has consistently outperformed.

Few companies can stage a turnaround of this magnitude while simultaneously accelerating both revenue and earnings. Build-a-Bear is doing all three, yet trades at a steep discount to the market.

In my eyes, the company’s evolution is far from over and further gains are in store. At today’s price point, Build-a-Bear looks like a compelling buy — and one investors should consider scooping up hand over fist.

Before you buy stock in Build-A-Bear Workshop, consider this:

The Motley Fool Stock Advisor analyst team just identified what they believe are the 10 best stocks for investors to buy now… and Build-A-Bear Workshop wasn’t one of them. The 10 stocks that made the cut could produce monster returns in the coming years.

Consider when Netflix made this list on December 17, 2004… if you invested $1,000 at the time of our recommendation, you’d have $651,599!* Or when Nvidia made this list on April 15, 2005… if you invested $1,000 at the time of our recommendation, you’d have $1,067,639!*

Now, it’s worth noting Stock Advisor’s total average return is 1,049% — a market-crushing outperformance compared to 185% for the S&P 500. Don’t miss out on the latest top 10 list, available when you join Stock Advisor.

See the 10 stocks »

*Stock Advisor returns as of August 25, 2025

Adam Spatacco has positions in Alphabet, Amazon, Apple, Meta Platforms, Nvidia, Palantir Technologies, and Tesla. The Motley Fool has positions in and recommends Alphabet, Amazon, Apple, Meta Platforms, Nvidia, Palantir Technologies, Tesla, and Walt Disney. The Motley Fool recommends Build-A-Bear Workshop. The Motley Fool has a disclosure policy.

This Monster Stock Gained 2,390% Over the Last 5 Years, Crushing Each of the “Magnificent Seven” and Palantir. It Has Nothing to Do With Artificial Intelligence (AI), and It’s Still Dirt Cheap! was originally published by The Motley Fool



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Now Artificial Intelligence (AI) for smarter prison surveillance in West Bengal – The CSR Journal

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Now Artificial Intelligence (AI) for smarter prison surveillance in West Bengal  The CSR Journal



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OpenAI business to burn $115 billion through 2029 The Information

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OpenAI CEO Sam Altman walks on the day of a meeting of the White House Task Force on Artificial Intelligence (AI) Education in the East Room at the White House in Washington, D.C., U.S., September 4, 2025.

Brian Snyder | Reuters

OpenAI has sharply raised its projected cash burn through 2029 to $115 billion as it ramps up spending to power the artificial intelligence behind its popular ChatGPT chatbot, The Information reported on Friday.

The new forecast is $80 billion higher than the company previously expected, the news outlet said, without citing a source for the report.

OpenAI, which has become one of the world’s biggest renters of cloud servers, projects it will burn more than $8 billion this year, some $1.5 billion higher than its projection from earlier this year, the report said.

The company did not immediately respond to Reuters request for comment.

To control its soaring costs, OpenAI will seek to develop its own data center server chips and facilities to power its technology, The Information said.

OpenAI is set to produce its first artificial intelligence chip next year in partnership with U.S. semiconductor giant Broadcom, the Financial Times reported on Thursday, saying OpenAI plans to use the chip internally rather than make it available to customers.

The company deepened its tie-up with Oracle in July with a planned 4.5-gigawatts of data center capacity, building on its Stargate initiative, a project of up to $500 billion and 10 gigawatts that includes Japanese technology investor SoftBank. OpenAI has also added Alphabet’s Google Cloud among its suppliers for computing capacity.

The company’s cash burn will more than double to over $17 billion next year, $10 billion higher than OpenAI’s earlier projection, with a burn of $35 billion in 2027 and $45 billion in 2028, The Information said.

Read the complete report by The Information here.



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Who is Shawn Shen? The Cambridge alumnus and ex-Meta scientist offering $2M to poach AI researchers

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Shawn Shen, co-founder and Chief Executive Officer of the artificial intelligence (AI) startup Memories.ai, has made headlines for offering compensation packages worth up to $2 million to attract researchers from top technology companies. In a recent interview with Business Insider, Shen explained that many scientists are leaving Meta, the parent company of Facebook, due to constant reorganisations and shifting priorities.“Meta is constantly doing reorganizations. Your manager and your goals can change every few months. For some researchers, it can be really frustrating and feel like a waste of time,” Shen told Business Insider, adding that this is a key reason why researchers are seeking roles at startups. He also cited Meta Chief Executive Officer Mark Zuckerberg’s philosophy that “the biggest risk is not taking any risks” as a motivation for his own move into entrepreneurship.With Memories.ai, a company developing AI capable of understanding and remembering visual data, Shen is aiming to build a niche team of elite researchers. His company has already recruited Chi-Hao Wu, a former Meta research scientist, as Chief AI Officer, and is in talks with other researchers from Meta’s Superintelligence Lab as well as Google DeepMind.

From full scholarships to Cambridge classrooms

Shen’s academic journey is rooted in engineering, supported consistently by merit-based scholarships. He studied at Dulwich College from 2013 to 2016 on a full scholarship, completing his A-Level qualifications.He then pursued higher education at the University of Cambridge, where he was awarded full scholarships throughout. Shen earned a Bachelor of Arts (BA) in Engineering (2016–2019), followed by a Master of Engineering (MEng) at Trinity College (2019–2020). He later continued at Cambridge as a Meta PhD Fellow, completing his Doctor of Philosophy (PhD) in Engineering between 2020 and 2023.

Early career: Internships in finance and research

Alongside his academic pursuits, Shen gained early experience through internships and analyst roles in finance. He worked as a Quantitative Research Summer Analyst at Killik & Co in London (2017) and as an Investment Banking Summer Analyst at Morgan Stanley in Shanghai (2018).Shen also interned as a Research Scientist at the Computational and Biological Learning Lab at the University of Cambridge (2019), building the foundations for his transition into advanced AI research.

From Meta’s Reality Labs to academia

After completing his PhD, Shen joined Meta (Reality Labs Research) in Redmond, Washington, as a Research Scientist (2022–2024). His time at Meta exposed him to cutting-edge work in generative AI, but also to the frustrations of frequent corporate restructuring. This experience eventually drove him toward building his own company.In April 2024, Shen began his academic career as an Assistant Professor at the University of Bristol, before launching Memories.ai in October 2024.

Betting on talent with $2M offers

Explaining his company’s aggressive hiring packages, Shen told Business Insider: “It’s because of the talent war that was started by Mark Zuckerberg. I used to work at Meta, and I speak with my former colleagues often about this. When I heard about their compensation packages, I was shocked — it’s really in the tens of millions range. But it shows that in this age, AI researchers who make the best models and stand at the frontier of technology are really worth this amount of money.”Shen noted that Memories.ai is looking to recruit three to five researchers in the next six months, followed by up to ten more within a year. The company is prioritising individuals willing to take a mix of equity and cash, with Shen emphasising that these recruits would be treated as founding members rather than employees.By betting heavily on talent, Shen believes Memories.ai will be in a strong position to secure additional funding and establish itself in the competitive AI landscape.His bold $2 million offers may raise eyebrows, but they also underline a larger truth: in today’s technology race, the fiercest competition is not for customers or capital, it’s for talent.





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