From Digital AI to Physical AI — Portfolio Construction for a New AI Investment Cycle
WEBINAR — TOMORROW
Tomorrow at noon, I’m hosting Derek Yan, CFA, Senior Investment Strategist at KraneShares, for a one-hour deep dive into one of the most important questions facing advisors right now: how do you build a portfolio for the next phase of the AI investment cycle?
This is a CE-credit approved webinar. If you manage money for clients, this counts toward your continuing education requirements.
Why This Matters Now
The S&P 500’s top 10 holdings now represent over 40% of the entire index — the highest concentration in decades. That concentration didn’t happen by accident. It happened because AI outperformed everything else. But market weight has outpaced earnings contribution, with the top 10 commanding 41% of weight while contributing only 32% of earnings.
The question isn’t whether AI is real. It is. The question is whether your clients’ portfolios are positioned for what comes next — or still anchored to what already happened.
What We’ll Cover
The AI ecosystem beyond the Mag 7. The AI value chain extends far beyond a handful of mega-cap names. From semis and datacenter infrastructure to edge AI, cloud platforms, and enterprise applications — there’s a broad universe of potential beneficiaries that most portfolios are ignoring.
Enterprise AI is no longer experimental. According to McKinsey, 88% of organizations now use AI in at least one business function. We’ve moved from the generative AI hype cycle into real enterprise deployment — and a new wave of autonomous AI agents is emerging.
The rise of Physical AI. AI is moving beyond screens and into the physical world. Humanoid robotics, embodied intelligence, and simulation platforms like NVIDIA’s Omniverse are reaching an inflection point. Morgan Stanley projects the global humanoid market could reach nearly $5 trillion by 2050 — driven by labor shortages, aging populations, and advances in robotic reasoning.
China’s AI race is closer than you think. DeepSeek’s R-1 model showed global markets that China’s internet giants are at the forefront of AI development. The U.S. leads with 13 of the world’s top 27 large language models, but China is second with 8 — and closing fast. China’s approach differs: open-source models, publicly-traded leaders, and a focus on physical hardware for export.
Portfolio construction to manage concentration risk. Derek will walk through how to broaden digital AI holdings, add private AI access, complement software-centric AI with physical AI, and diversify across global AI ecosystems — all while managing the concentration problem that’s built up over the past two years.
Event Details
When: Friday, March 27, 2026 — 12:00 PM to 1:00 PM EST
Host: Michael A. Gayed, CFA
Speaker: Derek Yan, CFA — Senior Investment Strategist, KraneShares
CE Credit: Approved
Cost: Free
I’ve done several of these webinars with KraneShares and they consistently deliver some of the most thoughtful analysis on global AI positioning that I’ve seen. If you’re an advisor trying to figure out how to diversify AI holdings beyond the obvious names, this is the session to attend.
See you tomorrow at noon.
Michael A. Gayed, CFA
This is sponsored content by KraneShares. The views and opinions expressed herein are those of the speaker and do not necessarily reflect the views of Lead-Lag Publishing, LLC. This content is for informational purposes only and is not intended to be investment advice.
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