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Douglas Davenport

DEEPSEEK SPOOKED THE MARKET, THIS AI STOCK CASHED THE CHECK

Mad Hedge AI

(AVGO), (MSFT), (AMZN), (GOOG), (META), (INTC), (MRVL)

The panicked messages flooded my inbox last week as tech stocks took a nosedive. 

One subject line simply read: "BROADCOM - SELL NOW???" Another longtime reader called me at 5:30 AM (clearly forgetting about time zones) asking if the AI bubble had finally burst. His portfolio was bleeding red and he was ready to hit the eject button on everything tech-related.

It's times like these when having decades of market experience comes in handy. I've seen this movie before - different characters, same plot.

While panicked investors were selling, Broadcom delivered Q1'25 earnings that sent shares up by over 8%. Despite Microsoft (MSFT) pulling some data center leases, the recent selling has created a significant buying opportunity for AVGO shares.

The numbers tell the real story here. Broadcom's semiconductor business grew 11% year-over-year, with 50% of the $8.2 billion in semiconductor revenue coming from AI infrastructure. 

When half your semiconductor business is driven by the hottest sector in tech, you've positioned yourself exactly where you need to be.

Why such strong AI demand? Sources at Microsoft, Amazon (AMZN), and Google (GOOG) confirm the DeepSeek V3 models have lit a fire under their AI development teams. 

This has accelerated the timeline for all major players to improve their AI systems, with hyperscalers now racing to deploy more advanced models.

Broadcom's management isn't sitting idle amid this AI acceleration. They're ramping R&D investments in next-generation accelerators, targeting 2nm AI XPUs with 10,000 teraflops capability. 

For context, that's massive computational power that will drive the next wave of AI applications. They're also enabling clusters scaling to 1 million XPUs - the infrastructure backbone needed for training tomorrow's frontier models.

The technical progress is equally impressive. 

A senior Broadcom engineer I met last month revealed they've doubled RAID capacity for existing Tomahawk sites and will begin sampling 1.6T bandwidth switches soon. 

These advances put Broadcom at the center of the AI infrastructure buildout that every major tech company needs.

All this positions Broadcom for explosive growth. 

By FY27, their AI addressable market is projected to reach $60-90 billion. They've already added two more hyperscalers as customers, bringing the total to four. 

The company now develops custom AI chips for Alphabet, Microsoft, Amazon, Meta (META), and ByteDance (the parent company of TikTok) - essentially becoming the arms dealer in the AI arms race.

The near-term outlook is equally promising. For Q2'25, Broadcom expects AI revenue to reach $4.4 billion, up 44% from last year. These aren't small percentage gains on tiny revenue bases - we're talking billions in growth from already substantial numbers.

Beyond AI, the picture is more nuanced but still positive overall.

Traditional semiconductors face some growth pressures, though telecom customers should increase spending in Q2'25. Enterprise networking will likely remain flat in the first half of the year due to inventory digestion.

Meanwhile, enterprise software has been a bright spot, growing 47% year-over-year. 

Management is successfully converting perpetual licenses to subscription models, with 60% converted so far. 

This transformation to recurring revenue improves visibility and stability in the business model - something Wall Street consistently rewards with higher multiples.

Innovation continues across the business. 

One notable example is their VMware Private AI Foundation with NVIDIA, already adopted by 39 enterprise customers. 

This platform helps companies manage GPU infrastructure for their AI workloads - positioned exactly where enterprise spending is heading as AI moves from experimental to production environments.

Looking at the financials, the picture remains strong. For Q2'25, I'm forecasting $14.9 billion in revenue and $1.59 EPS. 

Inventory levels increased to $1.9 billion (56 days on hand) to support the AI production ramp-up. 

The company has managed its balance sheet well, paying down $495 million in fixed-rate and $7.6 billion in floating-rate debt, ending with a reasonable 1.64x leverage ratio.

Is there risk? Certainly. 

If Microsoft's canceled data center leases truly signal excess compute capacity across the industry, we could see a broader slowdown in XPU investments. 

But the capital expenditure guidance from all major hyperscalers suggests this is isolated, not systemic.

Valuation remains attractive despite the growth story. 

AVGO shares currently trade at a significant discount to peers like Marvell Technology (MRVL) in the custom ASIC market. 

In fact, Broadcom CEO Hock Tan explicitly stated they're "too busy" with AI and VMware to consider an Intel (INTC) purchase - a signal of management's focus on organic growth opportunities rather than distracting acquisitions.

Looking at the broader market context, the last two years delivered remarkable gains with minimal pullbacks. We're now experiencing that needed pullback, which could continue for 3-6 months. 

After that, I expect markets to finish 2025 in positive territory, with AI leaders like Broadcom leading the charge.

My response to those panicked emails was simple: use this opportunity to build a position in AVGO. 

When a company dominates its space with 50% of revenue coming from the fastest growing segment in tech, you don't sell - you buy more.

And yes, in case you're wondering, I own the stock. I've been adding on every dip.

https://www.madhedgefundtrader.com/wp-content/uploads/2025/03/Screenshot-2025-03-12-145002.png 384 679 Douglas Davenport https://madhedgefundtrader.com/wp-content/uploads/2019/05/cropped-mad-hedge-logo-transparent-192x192_f9578834168ba24df3eb53916a12c882.png Douglas Davenport2025-03-12 14:51:072025-03-12 14:51:07DEEPSEEK SPOOKED THE MARKET, THIS AI STOCK CASHED THE CHECK
Douglas Davenport

Together, AI: Democratizing Access to Foundation Models, One API Call at a Time

Mad Hedge AI

In the burgeoning landscape of artificial intelligence, where massive foundation models (FMs) reign supreme, a new player has emerged, promising to democratize access and accelerate innovation. Together, AI, a startup founded by a team of seasoned AI researchers and engineers, is rapidly gaining traction with its platform designed to simplify the development and deployment of cutting-edge AI models.

At the heart of Together, AI's mission lies a fundamental belief: the power of foundation models should not be confined to a select few with access to vast computational resources. Instead, they envision a future where developers, researchers, and businesses of all sizes can leverage these transformative technologies to build groundbreaking applications.

Bridging the Gap: Simplifying Foundation Model Access

The challenge with FMs, like large language models (LLMs) and diffusion models, is their sheer size and complexity. Training and deploying these models requires significant computational power, specialized expertise, and substantial financial investment, creating a barrier for many. Together, AI aims to dismantle this barrier by offering a unified platform that simplifies the entire lifecycle of working with FMs.

Their platform provides a comprehensive suite of tools and services, including:

  • API-driven access to a diverse range of FMs: Together, AI offers a curated selection of state-of-the-art models, including their own open-source models as well as those from leading research labs, accessible through a simple API. This eliminates the need for developers to manage complex infrastructure or navigate the intricacies of model deployment.
  • Optimized infrastructure for efficient model execution: The platform leverages a distributed infrastructure optimized for running large-scale AI models, ensuring fast inference speeds and low latency. This allows developers to focus on building applications rather than worrying about infrastructure management.
  • Tools for fine-tuning and customizing models: Together, AI recognizes that pre-trained models often need to be adapted to specific tasks and domains. Their platform provides intuitive tools for fine-tuning models with custom datasets, enabling developers to tailor the models to their unique requirements.
  • Open source contributions and community focus: Together, AI is deeply committed to open source and actively contributes to the development of open foundation models. They believe in fostering a collaborative community where researchers and developers can share knowledge and contribute to the advancement of AI.

The Power of Open Source: RedPajama and Beyond

One of Together, AI's most notable contributions is the RedPajama project, an initiative to create a fully open-source reproduction of the LLaMA language model. This project exemplifies their commitment to transparency and accessibility in AI.

RedPajama aims to address the concerns surrounding the proprietary nature of many leading LLMs, providing a freely available alternative that can be used for research and development without restrictions. By democratizing access to powerful language models, RedPajama has the potential to accelerate innovation and foster a more open and inclusive AI ecosystem.

Beyond RedPajama, Together, AI is actively involved in other open-source initiatives, contributing to the development of tools and libraries that simplify the use of foundation models. They believe that open collaboration is essential for driving progress in AI and ensuring that the benefits of this technology are widely shared.

Use Cases and Applications: Transforming Industries

The impact of Together, AI's platform is already being felt across a wide range of industries. Developers are using their tools to build innovative applications in areas such as:

  • Natural Language Processing (NLP): Building chatbots, text summarization tools, and content generation systems with unprecedented accuracy and fluency.
  • Computer Vision: Developing image and video analysis applications, including object detection, image generation, and video editing tools.
  • Drug Discovery and Materials Science: Accelerating research by using FMs to analyze complex datasets and predict the properties of new molecules and materials.
  • Software Development: Enhancing developer productivity with AI-powered code generation and debugging tools.
  • Personalized Education: Creating adaptive learning platforms that tailor educational content to individual student needs.

For instance, a startup developing a customer service chatbot can leverage Together, AI's platform to access a powerful LLM, fine-tune it with their customer support data, and deploy it quickly and easily. Similarly, a research team working on drug discovery can use the platform to analyze vast datasets of chemical compounds and identify potential drug candidates.

The Future of Foundation Models: A Collaborative Vision

Together, AI's vision extends beyond simply providing access to existing models. They are actively working on developing new and more efficient FMs, pushing the boundaries of what is possible with AI.

Their research efforts focus on areas such as:

  • Efficient model training and inference: Developing techniques to reduce the computational cost of training and deploying FMs, making them more accessible to a wider range of users.
  • Multimodal models: Building models that can process and integrate information from multiple modalities, such as text, images, and audio, enabling more sophisticated and versatile applications.
  • Responsible AI: Developing tools and techniques to mitigate the risks associated with FMs, such as bias and misinformation, ensuring that these technologies are used ethically and responsibly.
  • Decentralized AI: Exploring the potential of decentralized approaches to training and deploying FMs, creating more robust and resilient AI systems.

They emphasize the importance of collaboration and believe that the future of AI lies in a decentralized and open ecosystem. This vision is reflected in their commitment to open source and their active engagement with the AI research community.

Challenges and Considerations: Navigating the AI Landscape

While Together, AI's platform offers significant advantages, it is important to acknowledge the challenges and considerations associated with the use of foundation models.

  • Bias and fairness: FMs can inherit and amplify biases present in their training data, leading to unfair or discriminatory outcomes. Addressing these biases requires careful data curation, model evaluation, and ongoing monitoring.
  • Misinformation and misuse: The ability of LLMs to generate realistic and persuasive text raises concerns about the potential for misuse, such as generating fake news or impersonating individuals. Robust safety measures and ethical guidelines are essential to mitigate these risks.
  • Computational cost: Even with optimized infrastructure, running large FMs can be computationally expensive. Finding ways to reduce the cost of inference and training is crucial for making these technologies more accessible.
  • Data privacy: Training FMs often requires access to large amounts of data, raising concerns about data privacy. Developing privacy-preserving techniques is essential for ensuring that data is used responsibly.

Together, AI is actively addressing these challenges through its research efforts and its commitment to responsible AI practices. They believe that by working together, the AI community can overcome these obstacles and ensure that the benefits of FMs are realized for all.

The Rise of a New AI Paradigm

Together, AI represents a new paradigm in the development and deployment of foundation models. By democratizing access and fostering collaboration, they are empowering developers, researchers, and businesses to build groundbreaking applications that were previously unimaginable.

Their commitment to open source, their focus on efficient infrastructure, and their dedication to responsible AI practices are positioning them as a key player in the rapidly evolving AI landscape. As foundation models continue to advance and become more widely accessible, platforms like Together, AI will play a crucial role in shaping the future of artificial intelligence.

https://madhedgefundtrader.com/wp-content/uploads/2019/05/cropped-mad-hedge-logo-transparent-192x192_f9578834168ba24df3eb53916a12c882.png 0 0 Douglas Davenport https://madhedgefundtrader.com/wp-content/uploads/2019/05/cropped-mad-hedge-logo-transparent-192x192_f9578834168ba24df3eb53916a12c882.png Douglas Davenport2025-03-10 17:19:022025-03-10 17:19:02Together, AI: Democratizing Access to Foundation Models, One API Call at a Time
Douglas Davenport

Deaglo: Revolutionizing FX Risk Management with AI

Mad Hedge AI

In the dynamic world of international finance, where currency fluctuations can significantly impact business outcomes, effective foreign exchange (FX) risk management is paramount. Deaglo, a pioneering FinTech company, is at the forefront of this critical domain, leveraging cutting-edge technology to empower businesses and financial institutions with unprecedented control over their FX exposures.

A Visionary Approach to FX Risk:

Deaglo's mission is to revolutionize the way businesses navigate the complexities of the global FX market. Recognizing the limitations of traditional, often manual, FX risk management processes, Deaglo embarked on a journey to develop innovative solutions that harness the power of artificial intelligence (AI) and advanced analytics.

The FX Assistant: An AI-Powered Game-Changer:

A cornerstone of Deaglo's innovation is the FX Assistant, a groundbreaking AI-driven platform designed to streamline and optimize FX risk management for a wide range of clients, from multinational corporations to investment banks.

Key Features and Benefits:

  • Real-time Insights: The FX Assistant provides real-time market data and analytics, enabling clients to make informed decisions based on the latest market trends.

  • Automated Trade Recommendations: Leveraging sophisticated AI algorithms, the platform generates personalized trade recommendations, optimizing hedging strategies and minimizing potential losses.

  • Enhanced Efficiency: By automating many of the time-consuming tasks associated with FX risk management, the FX Assistant frees up valuable time for finance professionals to focus on strategic initiatives.

  • Improved Decision-Making: The platform provides actionable insights and visualizations, empowering users to make more informed and confident decisions regarding their FX exposures.

  • Seamless Integration: The FX Assistant seamlessly integrates with existing trading platforms and systems, ensuring a smooth and efficient workflow.

Impact on the Financial Landscape:

The impact of Deaglo's innovations is already being felt across the financial landscape. By providing businesses with the tools and insights they need to effectively manage their FX risk, Deaglo is:

  • Reducing Volatility: By optimizing hedging strategies and mitigating currency fluctuations, Deaglo helps businesses protect their bottom line and improve financial stability.

  • Increasing Efficiency: Automation and streamlined workflows lead to significant time and cost savings for businesses of all sizes.

  • Improving Decision-Making: Access to real-time data and AI-powered insights empowers businesses to make more informed and strategic decisions regarding their FX exposures.

  • Driving Innovation: Deaglo's pioneering approach is driving innovation in the FinTech space, pushing the boundaries of what is possible in FX risk management.

A Commitment to Excellence:

Deaglo's success is built on a foundation of unwavering commitment to excellence. The company boasts a team of highly skilled professionals with deep expertise in finance, technology, and risk management. This dedicated team is constantly striving to improve the FX Assistant and develop new solutions that address the evolving needs of the market.

Looking Ahead:

As the global economy continues to evolve and become increasingly interconnected, the importance of effective FX risk management will only grow. Deaglo is well-positioned to remain at the forefront of this critical domain, leveraging its innovative technology and unwavering commitment to customer success to shape the future of FX risk management.

In Conclusion:

Deaglo is not just another FinTech company; it is a visionary organization that is transforming the way businesses approach FX risk management. By harnessing the power of AI and advanced analytics, Deaglo is empowering clients to navigate the complexities of the global FX market with confidence and control. As the company continues to innovate and expand its offerings, it is poised to play an even greater role in shaping the future of international finance.

https://madhedgefundtrader.com/wp-content/uploads/2019/05/cropped-mad-hedge-logo-transparent-192x192_f9578834168ba24df3eb53916a12c882.png 0 0 Douglas Davenport https://madhedgefundtrader.com/wp-content/uploads/2019/05/cropped-mad-hedge-logo-transparent-192x192_f9578834168ba24df3eb53916a12c882.png Douglas Davenport2025-03-07 16:52:502025-03-07 16:52:50Deaglo: Revolutionizing FX Risk Management with AI
Douglas Davenport

AN AI PLAYER NOBODY'S TALKING ABOUT

Mad Hedge AI

(CLS), (MSFT), (GOOG), (GOOGL), (NVDA)

I was driving back from Salt Lake City a few weeks ago when I got a call from a former Concierge Service client who runs a drone manufacturing business. 

His story is remarkable - what started as a hobby five years ago now generates $40 million in revenue, with military contracts on the horizon promising even more growth. 

He keeps telling me that our weekly calls during those crucial early days were what kept him from selling to the first European conglomerate that waved a checkbook in his face. 

"You told me to hold out for ten times what they were offering," he reminded me. I don't remember saying that, but who knows? 

After thousands of client calls over the years, they tend to blur together. Still, he swears it was my portfolio review that convinced him to plow every nickel of profit back into engineering when his competitors were cashing out. 

I'm not about to take credit for his success – the guy's a genius in his own right – but I'd be lying if I said it didn't make my day to hear that. Now he's being bombarded with takeover offers from European and Asian firms desperate for new profit streams at any cost.

That conversation got me thinking about AI stocks and where the real opportunities might be hiding.

AI fever is alive and well on Wall Street. But while tech giants like Alphabet (GOOG) (GOOGL) and Microsoft (MSFT) operate under the shadow of China's DeepSeek, the architects of artificial intelligence systems—from semiconductors to servers to sprawling data centers—have emerged as the winners so far in 2025.

Look no further than Nvidia (NVDA), which saw its sales and profits surge as tech companies threw billions at its advanced chips. 

The demand for its Blackwell series alone generated a staggering $11 billion in revenue last quarter. But with its valuation soaring, NVDA is no longer the under-the-radar opportunity it once was.

While Nvidia's dominance is undeniable, the real money in AI isn’t just in chips—it’s in the infrastructure that keeps the entire ecosystem running. 

And that’s where Celestica (CLS) comes in. While most investors were fixated on Nvidia, CLS quietly delivered massive gains, positioning itself as a crucial player in AI’s supply chain.

Celestica makes the electronic guts that keep AI data centers running. It’s not as flashy as ChatGPT or robotics breakthroughs, but the companies that build and maintain AI infrastructure are often where the real money is made. It’s the same reason drone component suppliers have been making a fortune while the spotlight stays on the drones themselves.

And the numbers back it up. Celestica reported $2.55 billion in Q4 revenue, an adjusted EPS of $1.11, and a forecast of $10.7 billion in revenue for 2025—a 22% earnings growth rate in a market where consistent growth is getting harder to find. 

Yet its valuation remains reasonable, with a PEG ratio of 0.8, meaning investors are paying less per unit of growth compared to sector averages.

In 2025, market volatility has been brutal. Geopolitical tensions, persistent inflation, and Donald Trump’s new tariffs on China helped fuel a 5% Nasdaq drop last week, sending investors into panic mode.

But CLS kept climbing. Over the last three months, while the broader market wobbled, Celestica delivered a nearly 29% gain. 

Even better, nine analysts have revised their earnings estimates upward in the last 90 days, with zero downward revisions. That’s the kind of confirmation bias I can get behind.

It’s a strategy I’ve seen pay off before. My former client reinvested in engineering instead of selling out early, betting on long-term value over a quick exit. 

Celestica has been following a similar playbook—focusing on becoming an indispensable part of the AI infrastructure rather than competing with the companies making headlines.

While others chase the next big AI breakthrough, Celestica is already supplying the backbone that powers them all. 

It currently ranks as the top electronic manufacturing services stock and is among the top 10 technology stocks overall—solid proof to its growing influence in the industry.

And with hyperscaler demand accelerating and AI adoption still in its early innings, Celestica is positioned to become even more critical to the AI revolution in the coming years.

So, where is the next 10-bagger in AI? It's probably not limited to the household names that dominate the headlines. 

As I've seen time and again throughout my career, sometimes the most profitable investments are found in the companies building the essential tools for the gold rush, not the miners themselves. 

And just like my drone-building client who turned personalized investment advice into a $40 million business by avoiding the quick exit, the real winners in AI will be those who recognize the opportunities hiding in plain sight.

After all, fortunes aren’t made by chasing shiny objects—they’re made by supplying the circuit boards that keep them running.

https://www.madhedgefundtrader.com/wp-content/uploads/2025/03/Screenshot-2025-03-05-170245.png 386 674 Douglas Davenport https://madhedgefundtrader.com/wp-content/uploads/2019/05/cropped-mad-hedge-logo-transparent-192x192_f9578834168ba24df3eb53916a12c882.png Douglas Davenport2025-03-05 17:03:332025-03-05 17:03:33AN AI PLAYER NOBODY'S TALKING ABOUT
Douglas Davenport

THOSE AREN'T CHICKENS IN YOUR TRANSLATOR APP

Mad Hedge AI

AI Tech Letter

(THOSE AREN'T CHICKENS IN YOUR TRANSLATOR APP)

(IBEX)

I was flying back from Monterey last month when I found myself eavesdropping on a fascinating exchange at the customer service counter. 

The passenger ahead of me—clearly not a native English speaker—was struggling to explain his situation to an agent who spoke only English. 

Then, the agent tapped her screen, and suddenly, she was responding in his language with surprising accuracy. 

Curious, I leaned in as she handed him a feedback form. "How was your experience with our new AI-powered translation service?" it read. 

When my turn came, she confirmed the system was new. "It’s a game-changer," she said. "Three weeks ago, we'd have needed a translator or spent half an hour playing charades."

This experience came to mind as I dug into IBEX Limited (IBEX), a Washington D.C.-based company positioning itself at the intersection of old-school customer service and cutting-edge AI. 

Their business process outsourcing services have earned them a reputation for high-quality omnichannel support across growing offshore markets, with a focus on using AI, automation, and data analytics to transform how brands engage with customers.

Remember when "customer service" meant being stuck on hold for an hour while a recorded voice assured you that your call was "very important"? IBEX is changing that narrative. 

Their Wave iX solutions don't replace humans—they enhance them. One hospitality client now deploys English-speaking agents with AI-powered translation to handle multilingual interactions (goodbye language barriers and soul-crushing hold music).

The quality of these translations is what sets them apart in a world where most translation apps still turn phrases like "welcome gift" into "live chickens" (true story from my last international trip). 

Their AI also handles routine inquiries ("What are your hours?") while humans tackle the complex ones ("Why does my new dishwasher sound like it's harboring raccoons?"). 

It's essentially digital triage at its finest—at least until that gets disrupted too, which in Silicon Valley terms means sometime next Tuesday.

Now, let's talk numbers. IBEX posted a record-breaking second quarter with revenues hitting $140.7 million, up 6.1% year-over-year. 

Their "land-and-expand playbook" brought in five new major clients this quarter alone. Earnings per share came in at $0.59 (beating expectations by $0.08), with adjusted EBITDA climbing to $16.5 million and margins improving to 11.8%. 

If you're new to investing, beating analyst expectations is like showing up to your in-laws' house with an expensive bottle of wine—it won't solve all your problems, but it certainly helps set a positive tone.

The sector breakdown tells another interesting story. 

Offshore operations (now 53% of total revenue) grew by 14%, while HealthTech surged 31%—no surprise to anyone who's visited a doctor's office lately and watched them wrestle with patient management software. 

Travel, logistics, and retail also saw healthy increases. A significant move this quarter was IBEX's buyback of 3.6 million shares from TRGI, freeing it from "controlled company" status and helping boost EPS by 36%.

But let's not pop the champagne just yet. For all its strong earnings, IBEX has some glaring weak spots. 

Revenue growth is anemic at 1.66%—well below the sector median of 3.93%. The FinTech segment is particularly troubling, with revenue down 15%. 

Cash flow remains negative (they burned through $3.2 million), and their net cash position dropped precipitously from $60.8 million to just $13.7 million thanks to that $70 million share buyback. 

It's like bragging that you're only losing $100 at the poker table instead of $200—technically an improvement, but your wallet still gets lighter.

Management has also acknowledged that costs related to AI implementation and infrastructure are rising, potentially squeezing margins in the latter half of fiscal 2025. 

Meanwhile, customers are taking longer to pay (Days Sales Outstanding extended from 75 to 79 days), which could further strain working capital.

So what's the bottom line? At its current valuation—9.97x forward P/E for 2025 and 8.61x for 2026—IBEX might represent a bargain for investors who believe in the long-term promise of AI-driven outsourcing. 

I've been trading long enough to know that sometimes the market offers gifts for those willing to look past short-term turbulence. 

For the stock to realize its potential upside, however, IBEX needs to demonstrate stronger revenue growth and better cash flow management. 

If it succeeds, a move toward a 12x–14x P/E range would offer meaningful upside. If not, it could remain stuck in what I call "value trap purgatory."

As for me, I'm keeping IBEX on my watchlist—right next to “learn a second language” and “never fly standby again.” Some opportunities, like some flights, are worth waiting for.

https://madhedgefundtrader.com/wp-content/uploads/2019/05/cropped-mad-hedge-logo-transparent-192x192_f9578834168ba24df3eb53916a12c882.png 0 0 Douglas Davenport https://madhedgefundtrader.com/wp-content/uploads/2019/05/cropped-mad-hedge-logo-transparent-192x192_f9578834168ba24df3eb53916a12c882.png Douglas Davenport2025-03-03 16:53:222025-03-03 16:54:36THOSE AREN'T CHICKENS IN YOUR TRANSLATOR APP
Douglas Davenport

AI Tech Letter

Mad Hedge AI

(A LARGER LANGUAGE MODEL)

(GOOGL), (META), (MSFT)

While reviewing earnings reports last week at my mountain cabin, I couldn't help but chuckle at the stream of "Google is dead" headlines flooding my inbox. 

Having covered technological disruptions since the early days of the personal computer revolution, I've learned that paradigm shifts rarely happen overnight. The reality is far more nuanced.

The bears would have you believe that Google (GOOGL) is about to become the next Yahoo!, destined for the tech graveyard as AI chatbots eat its lunch. 

After decades of watching tech giants rise and fall, I've developed a nose for distinguishing between genuine disruption and market hysteria. This feels a lot like the latter.

Let me share something that might surprise you: Google's search business is still growing even as ChatGPT and its AI cousins grab headlines. 

We're looking at a $2.25 trillion behemoth with $95.66 billion in cash, trading at a better valuation than its big tech peers. Now THAT's what I call a disconnect between perception and reality.

Here's why the Google-is-dead crowd has it all wrong.

For one, Google isn't sitting on its hands. I've analyzed enough tech transitions to know the difference between a company adapting and one in denial. 

After a brief deer-in-headlights moment when ChatGPT launched, they've gone full throttle into AI. The difference? Google can actually afford the AI arms race.

While OpenAI burns through cash faster than a Silicon Valley startup during the dot-com boom, Google generates enough free cash flow from its search business to fund its AI future. 

It's like having a money printer to fund your R&D - something I wish every promising tech company had back when I was analyzing startups in the '80s.

But here's the kicker that most people miss: Google has THREE aces up its sleeve that nobody else can match.

First, they have an ecosystem that would make any tech company envious. 

Google is on virtually every smartphone worldwide. They've got 8.5 billion daily searches, millions of YouTube uploads, and more data points than there are stars in the Milky Way.

Second, they have data quality that puts everyone else to shame. 

While OpenAI is scrambling to buy training data (word is they're running out of public data to train on), Google's got a fresh firehose of high-quality, real-world information flowing in daily.

Third, they have cash flow that won't quit. 

With a $95.66 billion war chest and money-printing core business, Google can outspend and outlast virtually any competitor.

Speaking of money, let's talk valuation. 

Google's enterprise value sits at $2.18T, but here's what makes it interesting - it's actually cheaper than Microsoft on an EV/EBITDA basis. 

The company's been buying back shares like they're going out of style, reducing the share count by 10% in just five years. That's a sneaky 2% annual return right there, before we even talk about price appreciation.

Sure, there are risks. New players like Perplexity are popping up faster than NFT projects in a bull market. 

But having witnessed multiple tech cycles, I can tell you that unseating an incumbent with Google's advantages is about as easy as climbing Mount Everest in flip-flops.

Don't get me wrong - Google needs to execute. 

Their CAPEX spending shows they're serious, but it's still below Meta (META) and Microsoft (MSFT) as a percentage of revenue. That might need to change. 

But with search revenues still growing and AI integration accelerating, Google looks more like a phoenix than a dinosaur.

The bottom line? Google is a buy on dips. The death of search has been greatly exaggerated, and the company's positioning in AI is far stronger than the market realizes.

Where will Google be in five years? Nobody knows for sure, but I've got a strong hunch those AI-powered searches will be making us all look smarter while making Google shareholders richer.

Now, if you'll excuse me, I need to go check if my AI assistant can help analyze these quarterly earnings faster than I can. Some disruptions are worth embracing.

 

https://www.madhedgefundtrader.com/wp-content/uploads/2025/02/Screenshot-2025-02-26-152554.png 385 675 Douglas Davenport https://madhedgefundtrader.com/wp-content/uploads/2019/05/cropped-mad-hedge-logo-transparent-192x192_f9578834168ba24df3eb53916a12c882.png Douglas Davenport2025-02-26 15:16:382025-02-26 15:29:34AI Tech Letter
Douglas Davenport

COOL UNDER PRESSURE

Mad Hedge AI

(SMCI), (NVDA), (AMD), (MSFT)

One of my hedge fund buddies called me last week about Super Micro Computer (SMCI), sounding more worried than I've heard him since the 2008 crash. 

"What's the real story behind these missing financials?" he demanded.

I had to smile. After decades of watching companies navigate regulatory waters, I've learned that sometimes the best opportunities come disguised as paperwork problems.

And SMCI's numbers tell a fascinating story.

Let's dive into what matters. Their preliminary Q2 FY25 earnings show revenue of $5.6-5.7 billion – a staggering 54% growth from last year.

Yes, gross margins have dipped to 11.8-11.9% from 13.3%, but here's what the market is missing: their capacity utilization is only 55% in the US, 60% in Taiwan, and a mere 1% in Malaysia.

That's not a company struggling to meet demand – that's a coiled spring waiting to launch.

The regulatory drama? They finally found a new auditor, confirmed no restatement of prior financials is needed, and committed to filing their delayed reports – the FY24 10-K and Q1/Q2 FY25 10-Qs – by February 25, 2025.

The market's initial relief sent the stock up 6% in mid-February, but there's more upside here.

Follow the technology trail. SMCI just started full-scale production of NVIDIA's (NVDA) Blackwell Rack-Scale Solutions for the HGX B200 system. Their servers are already certified for NVIDIA H100 and H200 GPUs.

But here's the game-changer: liquid cooling technology.

With over 30% of new data centers expected to adopt liquid-cooling systems in the next twelve months, SMCI is positioned perfectly. 

They've smartly raised $700 million through 2.25% convertible senior notes due 2028 to expand these capabilities.

I've seen plenty of tech companies come and go in my years covering the market, but SMCI's approach to the AI infrastructure challenge is different. 

When you're running advanced AI workloads, traditional air cooling is like trying to cool a blast furnace with a desk fan. Their direct-liquid cooling technology gives them a significant edge as data centers struggle with power density challenges. 

The numbers tell the story: while traditional air-cooled data centers typically support 15-20 kW per rack, liquid cooling can handle upwards of 100 kW. 

That's the difference between hosting basic enterprise applications and running complex AI workloads.

Despite this technology, the valuation disconnect is striking.

SMCI trades at 12x forward earnings while NVIDIA commands 30x and Advanced Micro Devices (AMD) sits at 18x.

Yes, management revised down their FY25 revenue guidance from $26-30 billion to $23.5-25 billion, but they're still targeting $40 billion by FY26.

Having watched tech cycles for decades, I know ambitious targets when I see them – and these are actually achievable.

Why? The shift from AI training to inference workloads changes everything.

While training demands massive computing power, inference needs efficient, scalable solutions – exactly what SMCI provides.

Management projects 65% annual revenue growth through FY26, moderating to 30% as the market matures, then settling around 10% long-term.

Margins might only see 10 basis points of expansion due to competition, but the volume growth more than compensates.

For those wondering about timing, here's my take: The Special Committee found no accounting fraud or inappropriate revenue recognition.

This isn't an Enron with imaginary Nigerian barges and "special purpose entities" – it's just a filing delay from a company that actually makes real products that actually work.

Once SMCI meets the Nasdaq deadline – and my sources suggest they will – we would most likely see a significant re-rating of the stock.

So, I recommend that you keep a close watch of the next few weeks. In this market, companies solving real AI infrastructure problems don't stay discounted for long. 

Just keep your position size reasonable – even the best tech plays require disciplined risk management.

As for me, I'll be tracking this one closely and will alert you the moment I see a clear entry point. 

After all, in tech, today's paperwork problem often becomes tomorrow's profit engine. Just ask my old friend who panic-sold Microsoft (MSFT) in 1987 over their messy IPO filing.

https://madhedgefundtrader.com/wp-content/uploads/2019/05/cropped-mad-hedge-logo-transparent-192x192_f9578834168ba24df3eb53916a12c882.png 0 0 Douglas Davenport https://madhedgefundtrader.com/wp-content/uploads/2019/05/cropped-mad-hedge-logo-transparent-192x192_f9578834168ba24df3eb53916a12c882.png Douglas Davenport2025-02-22 11:13:292025-02-22 11:13:29COOL UNDER PRESSURE
Douglas Davenport

SNOW SHOVELS IN JULY

Mad Hedge AI

(AMD), (INTC), (NVDA)

You know you're getting old when you can remember Advanced Micro Devices (AMD) back when they were the scrappy underdog making Intel-compatible chips in Austin, Texas. 

Back in my early trading days in the '80s, I watched AMD engineers reverse-engineer Intel's (INTC) latest processors with the dedication of medieval monks copying manuscripts.

Fast forward to today, and AMD's stock just got the kind of beating usually reserved for tech companies that forget to mention "AI" in their earnings calls. 

We're talking about a drop from $227 to around $107 - a painful 53% decline that's enough to make even the most hardened tech trader wince.

The million-dollar question floating around my Lake Tahoe office this week: “Has the market lost its mind, or is this the kind of opportunity that makes careers?”

Let me break this down for you, and trust me, it gets interesting.

First, let's address the elephant in the server room - why was AMD trading at $227 in the first place? Simple: AI fever. 

The same fever that had people buying pet rocks in the '70s and crypto tokens named after dogs in 2021. Expectations got so far ahead of reality that they were practically in a different zip code.

But here's where it gets juicy - AMD's data center revenue just surged 69% year-over-year to $3.9 billion in Q4. That's not a typo, and it's definitely not the kind of number you see from a company that's supposedly lost its mojo. 

The division now accounts for 50% of 2024 sales, up from about as much as a rounding error a few years ago.

Speaking of numbers that make you do a double-take, AMD's forward P/E ratio has crashed from the nosebleed level of 40-50 last year to below 18 now. 

The last time I saw a multiple compression this dramatic, I was watching the air leave my daughter’s birthday bouncy castle.

Still, here's something the doom-and-gloom crowd isn't telling you: AMD's pulling forward production of their MI350 series to mid-2025 due to strong customer demand. 

When a company accelerates production in this environment, it's like seeing a restaurant with a line around the block - something good is cooking inside.

Sure, AMD's got challenges. Their AI GPU sales expectations for 2025 got trimmed back faster than my hedge during spring cleaning. The software side needs work - they're playing catch-up to NVIDIA (NVDA) in the AI space like I used to chase after my kids at Disneyland. 

But here's the kicker: AMD's total data center sales could still hit $15-16 billion this year.

The client segment isn't exactly sitting on its hands either, posting a 52% year-over-year growth rate. We're looking at potential sales of $32-33 billion this year, possibly ramping up to $40-42 billion in 2026. 

Now, am I saying AMD is risk-free? About as much as my morning coffee is calorie-free. 

Obviously, they're facing serious competition from NVIDIA in AI and need to keep Intel at bay in traditional computing. 

But at these prices? It's like finding a Ferrari with a Honda Civic price tag just because it needs new tires.

Looking ahead to 2030, I can see AMD's stock hitting $500 or higher. That's not just optimism talking - that's looking at the numbers and seeing a company trading at a modest 25-27 forward P/E multiple with substantial growth ahead.

For those tracking this stock, AMD reported in-line EPS of $1.09 on $7.7 billion in sales - a 24% year-over-year increase that beat expectations by $170 million. 

Q1 guidance came in at $7.1 billion, above the Street's $6.99 billion estimate. Those aren't the numbers of a company in trouble; they're the numbers of a company in transition.

Is AMD oversold? The technicals certainly suggest so. The stock is about 33% below its 200-day moving average, which in technical analysis terms is like finding yourself in Death Valley when you meant to drive to San Francisco. 

The RSI has stopped making new lows relative to the stock price - often a sign that the smart money is quietly accumulating positions.

The bottom line? AMD at $107 looks about as overvalued as a snow shovel in July. Sure, there might be more volatility ahead - this is tech, after all, not a savings bond. 

But for those willing to look past the next quarter or two, AMD could be setting up for one of those moves that people talk about at investment conferences for years to come.

As for me, I'm heading back to Lake Tahoe this weekend. There's something about the clear mountain air that helps put market volatility in perspective. 

That, and I hear there's a tech conference in Reno where a certain CPU maker might be making some interesting announcements.

Remember, in Silicon Valley, today's underdog is tomorrow's top dog. Just ask the folks who sold their AMD shares in 2015 for $2.

Be on the lookout for developments - this semiconductor story has more chapters ahead.

https://www.madhedgefundtrader.com/wp-content/uploads/2025/02/Screenshot-2025-02-19-165010.png 672 673 Douglas Davenport https://madhedgefundtrader.com/wp-content/uploads/2019/05/cropped-mad-hedge-logo-transparent-192x192_f9578834168ba24df3eb53916a12c882.png Douglas Davenport2025-02-19 16:51:382025-02-19 16:51:38SNOW SHOVELS IN JULY
Douglas Davenport

Deepseek's Impact on the Stock Market and its Competitors

Mad Hedge AI

Deepseek, a Chinese artificial intelligence (AI) company, has recently made headlines with its innovative AI model. The company claims that its model is more efficient and less expensive to train than its competitors. This has sent shockwaves through the stock market, with investors reacting to the potential implications of Deepseek's technology.

In this article, we will take a closer look at the effects of Deepseek's emergence on the stock market and its competitors. We will also discuss the potential implications of Deepseek's technology for the future of AI.

Short-Term Effects

The immediate effect of Deepseek's announcement was a sharp decline in the stock prices of major AI players. Nvidia, the leading provider of chips for AI training, saw its stock price fall by more than 10% in a single day. Other AI companies, such as Google and Microsoft, also saw their stock prices decline.

The market reacted to the possibility that Deepseek's technology could reduce the demand for Nvidia's products. If Deepseek's model is truly more efficient and less expensive to train, then companies may be less likely to purchase Nvidia's chips.

However, it is important to note that the stock market is often volatile in the short term. The decline in stock prices may simply be a reaction to the uncertainty surrounding Deepseek's technology. It is possible that the stock prices of AI companies will recover in the long run.

Long-Term Effects

The long-term effects of Deepseek's emergence are still uncertain. Some analysts believe that Deepseek's technology could lead to a more competitive AI market. This could benefit consumers in the long run, as companies would be forced to lower their prices and improve their products in order to compete.

Others are concerned that Deepseek's technology could give Chinese companies an advantage in the AI race. This could have implications for national security, as AI is becoming increasingly important in areas such as defense and surveillance.

It is also possible that Deepseek's technology could lead to the development of new AI applications. If Deepseek's model is truly more efficient and less expensive to train, then it could be used to develop AI models for a wider range of applications. This could lead to the development of new products and services that are powered by AI.

Deepseek's Competitors

Deepseek's emergence has put pressure on its competitors to innovate. Companies such as Google and Microsoft are now investing heavily in AI research and development in order to compete with Deepseek.

It is possible that Deepseek's competitors will be able to develop their own technologies that are as efficient and inexpensive as Deepseek's. However, it is also possible that Deepseek will be able to maintain its lead in the AI market.

The Future of AI

The emergence of Deepseek is a sign that the AI market is becoming increasingly competitive. This is good news for consumers, as it could lead to lower prices and better products.

However, it is also important to be aware of the potential risks of AI. AI is a powerful technology that could be used for both good and bad purposes. It is important to ensure that AI is developed and used in a responsible manner.

Conclusion

Deepseek's appearance on the scene has sent shockwaves through the stock market. The company's innovative AI model has the potential to disrupt the AI market. However, the long-term effects of Deepseek's emergence are still uncertain.

It is important to keep an eye on Deepseek and its competitors in the years to come. The future of AI is likely to be shaped by the companies that are able to develop the most innovative and efficient AI technologies.

Additional Points

  • It is important to note that Deepseek is a relatively new company. It remains to be seen whether the company will be able to maintain its lead in the AI market.
  • Deepseek's technology is still under development. It is possible that the company will make further improvements to its model in the future.
  • The AI market is constantly evolving. It is possible that new AI technologies will emerge in the future that are even more efficient and inexpensive than Deepseek's.

 

https://madhedgefundtrader.com/wp-content/uploads/2019/05/cropped-mad-hedge-logo-transparent-192x192_f9578834168ba24df3eb53916a12c882.png 0 0 Douglas Davenport https://madhedgefundtrader.com/wp-content/uploads/2019/05/cropped-mad-hedge-logo-transparent-192x192_f9578834168ba24df3eb53916a12c882.png Douglas Davenport2025-02-14 16:39:342025-02-14 16:39:34Deepseek's Impact on the Stock Market and its Competitors
Douglas Davenport

HOPES, HYPE, AND HOLY-COW VALUATIONS

Mad Hedge AI

(SONY), (MSFT), (NVDA), (GOOGL), (AMZN), (TSM), (IBM), (AMD), (BIDU), (TM), (NTDOY), (INTC), (LLNXF)

During my years covering the Japanese financial markets in the 1970s, I witnessed firsthand how technological breakthroughs could reshape entire economies. 

Back then, it was the revolution in consumer electronics that turned companies like Sony (SONY) from small radio makers into global powerhouses. 

Today, we're seeing something far more dramatic with artificial intelligence.

OpenAI is reportedly closing in on a $40 billion funding round led by SoftBank (SFTBY) at a mind-bending $300 billion valuation. 

Having interviewed countless Asian tech pioneers over the decades, I've developed a nose for spotting the difference between genuine innovation and market hype. This one has elements of both.

To understand the scale, let’s put the numbers in perspective. Since October 2024, OpenAI has been adding about $1.1 billion in value every single day. 

When I was covering the early days of Japan's tech boom, we thought NEC's $100 million monthly valuation growth was astronomical. OpenAI is doing that before lunch.

The company projects $3.7 billion in revenue for 2024, climbing to $11.6 billion by the end of 2025—a 213% growth rate that would make even the most aggressive Japanese keiretsu blush. 

At a 25.8x forward revenue multiple, they're pricing this thing like it’s the next Toyota (TM), Sony, and Nintendo (NTDOY) combined.

Speaking of Japan, SoftBank’s involvement is worth noting. As the lead investor in this round, SoftBank is betting big yet again. 

Masayoshi Son has built his empire on moonshot investments, but his track record is mixed. I remember when he was just starting out in software distribution—his ambition hasn’t wavered, though the scale of his bets has certainly grown.

A substantial portion of this funding will go toward Project Stargate, OpenAI’s massive initiative to build AI-optimized data centers across the US. 

Controlling your own hardware destiny is critical, as I saw during Japan’s infrastructure boom in the ’70s, but it’s also fraught with risk. Stargate could give OpenAI a crucial edge, but it will burn through cash at an unprecedented rate.

The competitive landscape feels eerily familiar. An open-source competitor called DeepSeek has launched its r1 model, reportedly matching OpenAI’s capabilities at a fraction of the cost. 

Watching this unfold is like reliving the rise of Linux (LLNXF) during the early PC wars. The key question is whether OpenAI can sustain its edge as the technology becomes more commoditized.

For those looking to play the AI boom through public markets, there are clear winners emerging alongside OpenAI. 

Microsoft (MSFT), trading at roughly $412.22, remains OpenAI’s sugar daddy. It has poured over $13 billion into the company, securing first dibs on technology while monetizing infrastructure through Azure. It’s a dream setup, and I’ve been long on MSFT since the partnership was announced. I see no reason to change that position.

NVIDIA (NVDA), sitting at $133.57, has become the Intel (INTC) of the AI age. They’re selling the picks and shovels for this gold rush, and demand for their chips is so fierce that companies are reportedly paying premiums to secure supply. NVIDIA has been one of my favorite long-term holdings for years, and it keeps proving its worth.

Alphabet (GOOGL), trading at $186.47, is playing catch-up in the AI race. While they have the talent and the data to compete, their cloud business still lags behind Microsoft. Watching their quarterly cloud revenue growth will be key to assessing their progress.

Amazon (AMZN) at $233.14 is the sleeping giant. They’ve been quietly building AI infrastructure and leveraging their retail operation as a testing ground for AI applications. This dual strategy could make them the dark horse in this race.

Then there’s Taiwan Semiconductor (TSM) at $207.95. Having covered Asian tech markets for decades, I know TSMC’s manufacturing prowess is nearly impossible to replicate. They’re supplying the chips that power this revolution, making them one of the industry's kingmakers.

IBM (IBM) might seem old school at $249.27, but they’ve got deep enterprise relationships and a solid AI strategy. Sometimes the tortoise does beat the hare, especially when enterprise clients value reliability over hype.

AMD (AMD), trading at $110.48, is NVIDIA’s closest competitor in AI chips. My sources at AMD are bullish on their next-generation processors, and while they’ve yet to dethrone NVIDIA, they remain a strong contender.

Finally, there’s Baidu (BIDU) at $93.85, China’s AI leader. With geopolitical tensions mounting, however, I’m hesitant to bet heavily on Chinese tech right now. I’d rather stick with US and Taiwan-based players for more stability.

OpenAI’s $300 billion valuation might seem insane, but as I often say, the market can stay irrational longer than you can stay solvent. I’ve seen bubbles in Japanese real estate during the ’80s and the dot-com boom in the ’90s. The key is finding the companies that will survive when the music stops.

We can all agree that the AI revolution is real, but at these valuations, selectivity is crucial. 

So, I’m holding my positions in Microsoft and NVIDIA while keeping some dry powder for better entry points in speculative names. When the market gives you a chance to buy these leaders at a discount, you need to be ready.

As for OpenAI’s valuation? Let’s just say I’ve seen this movie before in different languages. The technology is revolutionary, but the market’s enthusiasm feels like it’s running a few quarters ahead of reality. 

And if history has taught me anything, it’s that selling shovels—like NVIDIA—tends to be a safer bet than digging for gold. Jensen Huang figured that out a long time ago.

I’ll be watching closely, hoping this doesn’t end like some of the high-flying Japanese tech stocks of the late ’80s. Those stories didn’t end well. But maybe, just maybe, this time it’s different. 

Might be.

https://madhedgefundtrader.com/wp-content/uploads/2019/05/cropped-mad-hedge-logo-transparent-192x192_f9578834168ba24df3eb53916a12c882.png 0 0 Douglas Davenport https://madhedgefundtrader.com/wp-content/uploads/2019/05/cropped-mad-hedge-logo-transparent-192x192_f9578834168ba24df3eb53916a12c882.png Douglas Davenport2025-02-12 17:29:252025-02-12 17:29:25HOPES, HYPE, AND HOLY-COW VALUATIONS
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