If I had $1M, here is how I would build an AI-focused portfolio
If I had $1M, here is how I would build an AI-focused portfolio, so I never have to work again!
Here is why 🧵👇
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1/ $Nu Holdings Ltd.(NU)$
NU is a fintech that's bringing modern financial services to unbanked populations in Brazil, Mexico, and Colombia.
Their AI Private Banker will bridge the knowledge gap between 1% and the 99%, enabling everyone to have access to sound financial advice and integrated AI services.
Nu's low-cost model enables fast growth and huge profits.
📈 Revenue per customer: +270%
📉 Cost per customer: -27%
Trading for a P/E of 34, despite being a disruptor with huge growth runaway.
2/ $NEBIUS(NBIS)$
NBIS is rebuilding the cloud for the AI era with an infrastructure platform purpose-built for training and deploying AI models.
The recent $17.4B $Microsoft(MSFT)$ deal demonstrates the quality of their offering!
The first AI companies relied on generic cloud setups. This was expensive, slow to deploy, and not optimized for AI performance.
With NBIS, the experience is radically different, their $NVIDIA(NVDA)$ GPUs, custom-built servers are integrated with AI training software that's pre-configured and ready to scale. Developers can move seamlessly from a single GPU to thousands, cutting costs and accelerating AI development.
3/ $Grab Holdings(GRAB)$
GRAB is poised to become the platform of choice for Robotaxi platforms for distribution and enhanced customer experiences.
But that's not all, unlike $Uber(UBER)$ , GRAB has a massive and growing financial services business.
AI-driven algorithms match riders and drivers in real time, optimize delivery routes, and personalize user experiences across rides, food, and groceries. GrabPay and GrabFin expand financial inclusion with digital wallets, lending, and insurance, all integrated seamlessly into the platform.
By uniting mobility, delivery, fintech, and AI under one ecosystem, GRAB is becoming the digital infrastructure for daily life across Southeast Asia.
4/ $AppLovin Corporation(APP)$
APP is changing the mobile app ecosystem by putting AI at the center of how apps are discovered, monetized, and scaled.
App developers rely on fragmented ad networks, guesswork in targeting, and inefficient monetization tools to grow their businesses. This process is slow, costly, and often yields poor returns.
With APP, the process is radically smarter!
Their proprietary AI engine analyzes billions of data points from 1.6B users in real time. Then it matches the right users with the right apps, and dynamically optimizes ad spend, ad formats, and ad targeting to achieve the best outcome.
The result is a seamless growth engine where developers acquire high-value users, maximize revenue, and reinvest in scaling their apps, all powered by AI.
5/ $Taiwan Semiconductor Manufacturing(TSM)$
While $Advanced Micro Devices(AMD)$ and NVDA sell the picks and shovels that power the AI revolution, TSM is the one that actually makes them.
Traditionally, chip design and production were vertically integrated, with each company managing its own expensive manufacturing plants. This limited innovation, slowed production, and created enormous barriers to entry.
With TSM, the process is radically more efficient.
The best chip designers like Apple, NVIDIA, and AMD don't own the factory anymore, they focus on innovation, while TSM brings their ideas to life with cutting-edge manufacturing at nanometer precision.
Its unmatched scale and process leadership, from 5nm to the upcoming 2nm nodes, make it the critical enabler of AI, 5G, autonomous vehicles, and cloud computing.
Doesn't matter who wins the the AI chip design race, TSMC already won the AI chip manufacturing race!
6/ $Zeta Global Holdings Corp.(ZETA)$
One of the most significant players in AI-driven marketing and advertising.
ZETA customers are moving from traditional CRM and marketing platforms toward AI-enabled personalization and predictive analytics.
There’s massive growth potential for AI to supercharge digital advertising, customer data analysis, marketing automations, and data insights.
AI can coordinate, analyse, and adjust advertising campaigns in REAL TIME across web, apps, emails, video games, apps, and streaming TV to generate the HIGHEST return on ad spend possible.
With digital transformation accelerating across the US, Europe, and Asia, Zeta is positioned to scale as enterprises demand more intelligent, data-centric marketing strategies.
7/ $Advanced Micro Devices(AMD)$
AMD is the little cousin of NVDA that's challenging the status quo in computing by delivering high-performance CPUs, GPUs, and adaptive processors.
$AMD is shifting the landscape, its Ryzen and EPYC processors deliver industry-leading efficiency and performance per watt, while Radeon GPUs and AI accelerators provide competitive alternatives in gaming, data centers, and AI workloads.
By combining relentless innovation with an open ecosystem, $AMD is redefining performance computing and becoming a critical player in the AI era, powering crucial cloud infrastructure. They killed Intel and are now running after NVDA.
8/ $IREN Ltd(IREN)$
IREN is transforming the cloud for the AI era with next-generation infrastructure built specifically for training and deploying AI models.
IREN's advanced compute infrastructure, powered by high-performance GPUs and purpose-built systems, comes fully integrated with AI training frameworks.
Developers can scale effortlessly, driving down costs while speeding up the entire AI development cycle.
By 2027, they should have a data center capacity of 2910MW.
9/ $NVIDIA(NVDA)$
NVDA is redefining the future of computing by powering the AI revolution with its industry-leading GPUs and CUDA platform.
Originally, graphics processors were designed for gaming and visual rendering. While powerful, they weren’t built to handle the massive parallel computations needed for machine learning and AI at scale.
With NVDA, the process is much faster, its GPUs, CUDA software ecosystem, and AI-focused hardware like the H200 make training and inference exponentially faster and more efficient. This has turned Nvidia into the default platform for AI research, cloud infrastructure, autonomous vehicles, robotics, and next-gen enterprise computing.
Their chips will be behind in the most important AI services of the next decades.
10/ $Amazon.com(AMZN)$
AMZN is rapidly expanding its data center footprint through AWS.
Their data centers host some of the most powerful AI infrastructure in the world, offering cutting-edge compute instances powered by custom silicon like Trainium and Inferentia. This enables enterprises, startups, and researchers to build and deploy AI models faster and more efficiently.
Its partnerships with leading AI companies and integration of generative AI services into AWS position Amazon as a key enabler of the AI-driven data center boom.
As AI adoption accelerates, Amazon’s combination of massive scale, custom hardware, and cloud services keeps it at the forefront of powering the world’s data center boom.
11/ $Alphabet(GOOGL)$
GOOGL is a foundational stock trading as a low-moat, low-margin, low-ROIC, low-growth stock.
After recent legal challenges and rising popularity of ChatGPT, many have written GOOGL off as the "next Nokia and Kodak".
Yet, Search still makes close to $100B in EBIT and won't disappear. They reinvest massive profits in high ROI ventures such as Cloud, AI, Cybersecurity, and Waymo. Add YouTube and you get a company of the highest quality, trading for a P/E of 26.
12/ $Meta Platforms, Inc.(META)$
META with its 3.5B Daily Active Users controls the attention of the world!
- Just Launched new Smart Glasses
- User growth is not finished
- WhatsApp monetization has barely begun
- IG Reels is making TikTok run for their money
- AI will enable businesses to create ads more easier.
Zuck will command people's attention for decades.
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Disclaimer: Investing carries risk. This is not financial advice. The above content should not be regarded as an offer, recommendation, or solicitation on acquiring or disposing of any financial products, any associated discussions, comments, or posts by author or other users should not be considered as such either. It is solely for general information purpose only, which does not consider your own investment objectives, financial situations or needs. TTM assumes no responsibility or warranty for the accuracy and completeness of the information, investors should do their own research and may seek professional advice before investing.
