Skip to content
HeyJared

Milk Road AI

Helping everyday people get smarter about AI investing. Learn how to capitalize on the biggest technological change in history across the infrastructure, energy and app layers of AI.

Podcast · By Milk Road · English · Official site

Indexed episodes, last 90 days
46
Latest publication
Sep 9, 2026
Audience
Checking…
Earliest in this view
Jul 6, 2026

Latest episodes

  1. Episode · Sep 9, 2026

    Power & Memory Could Be the Best AI Trades Into 2027 (opens the original)

    Episode notes

    Read excerpt

    In this episode, Vincent breaks down why fears of AI overcapacity may be missing what’s happening beneath the surface. Data center capacity is being absorbed rapidly, hyperscalers are facing enormous cloud backlogs, and demand for AI compute continues to run into constraints across power, memory, and infrastructure. We explore why NVIDIA could remain supply-constrained despite massive investment in AI chips, how the rise of AI agents, autonomous vehicles, and humanoid robotics could create anoth

  2. Episode · Sep 8, 2026

    We’re About to Need Way More AI Compute Than Anyone Realizes (opens the original)

    Episode notes · Neutral tone

    Read excerpt

    In this episode, we break down why the rapid adoption of AI agents could drive significantly more demand for compute, inference, memory, data centers, and the broader AI infrastructure stack. As models get faster, cheaper, and more capable, AI isn’t just becoming easier to use; it’s increasingly capable of performing actual work. We discuss the rise of “labor as a service,” why agent token usage is accelerating, and how increasingly powerful AI models could create another wave of infrastructure

  3. Episode · Sep 7, 2026

    Robotics Could Be the Next AI Infrastructure Trade - Here’s How We’re Playing It (opens the original)

    Episode notes · Positive tone

    Read excerpt

    In this episode, Melvin breaks down the emerging robotics investment thesis and why the opportunity could extend far beyond companies like Tesla and Figure AI. We explore NVIDIA’s role in physical AI and robotics training, the growing demand for semiconductors and memory, and the less obvious opportunities in actuators, motors, bearings, sensors, and other critical components. We also look at real-world robotics deployments at BMW and Amazon, the falling cost of humanoid robots, and why Robotics

  4. Episode · Sep 4, 2026

    AI Agents Could Turn Robinhood Into a $1 Trillion Company (opens the original)

    Episode notes · Neutral tone

    Read excerpt

    In this episode, Vincent explains why the intersection of AI agents, digital assets, and financial infrastructure could become one of the biggest investment themes of the next phase of the AI boom. As AI agents become capable of investing, trading, making payments, managing portfolios, and handling corporate finances autonomously, they’ll need financial infrastructure built for machines, not humans. Today’s banking system relies on KYC, intermediaries, slow settlement, and human authorization. V

  5. Episode · Sep 3, 2026

    NVIDIA, Micron, Nebius & Tesla: A Pro Trader Reveals What Happens Next (opens the original)

    Episode notes

    Read excerpt

    In today’s episode, professional trader Dougie Fresh Picks joins us to break down the charts behind some of the market’s biggest AI and tech stocks, including Micron (MU), NVIDIA (NVDA), Nebius (NBIS), Robinhood (HOOD), Tesla (TSLA), and Galaxy Digital (GLXY). After weeks of market chop, Dougie believes several of these stocks are approaching important technical inflection points. He explains why Micron could be setting up for another run toward new highs, what NVIDIA’s momentum indicators are s

Publishing over time

Last 90 days. Choose a month to open its work.

Recurring subjects

Named in the text we hold. One piece can cover several.

Audience

No verified audience measurement yet.

About this data

Counts cover the work we have indexed. Tone needs enough text and a confident classification. Excerpts and episode notes are not full articles or transcripts.

Identity or attribution wrong? Suggest a correction.

See coverage about Milk Road AI