Michael Gates: Why More Advisors Are Migrating to Model Portfolios

Episode Summary

Executive Summary: Morningstar’s Ben Johnson speaks with BlackRock’s Michael Gates about the rise of model portfolios, explaining how BlackRock’s target allocation models combine strategic asset allocation with tactical tilts, tax-aware implementation, SMAs, and options overlays. Gates argues advisors adopt models for efficiency, better performance, and access to specialized portfolio construction as AI, geopolitics, and dispersion reshape markets.

Main Topics: What model portfolios are and why advisors use them (Priority: 5/5): Gates defines model portfolios as actively managed, multi-asset portfolios with strategic allocations and tactical tweaks, built using ETFs and active funds. Advisors increasingly use them to save time, improve consistency, and focus on planning and client constraints. Growth of BlackRock’s target allocation business and market adoption (Priority: 5/5): He describes the rapid growth of BlackRock’s model business to more than $220 billion in U.S. assets and notes model-based practices are still early in their penetration relative to the total addressable market. Tax efficiency, SMAs, and option overlays (Priority: 4/5): The discussion covers how tax-loss harvesting, separately managed accounts, and option overlays are integrated into model solutions, especially for larger accounts where customization and risk management become more valuable. Portfolio construction philosophy and risk management (Priority: 5/5): Gates emphasizes a whole-portfolio mindset centered on diversification, risk budgeting, benchmark-relative outcomes, and BlackRock’s Aladdin framework to evaluate exposures and factor risks. Current market view and tactical positioning (Priority: 5/5): He outlines a positive macro view driven by productivity growth and AI, while simultaneously reducing exposure to expensive credit, large-cap concentration, and some precious metals positions as risk-reward changes. AI, thematic investing, and selective active management (Priority: 4/5): Gates explains how AI exposure is implemented through thematic active strategies and sector tilts, arguing that successful thematic investing requires sizing discipline, strong manager selection, and timely entry/exit. Future of model portfolios (Priority: 3/5): He predicts continued growth in direct indexing, SMAs, and options overlays, with lower-cost, tax-aware, more customized portfolios becoming standard over the next 14 years.

Key Arguments: Model portfolios give advisors a competitive advantage by outsourcing portfolio construction while preserving customization and scalability. The model market is large but still underpenetrated, implying continued long-term growth. Tax management and options overlays are not add-ons but increasingly core to model implementation, especially for larger accounts. A whole-portfolio, risk-budgeted process supported by Aladdin improves consistency and helps manage correlations and factor exposures. AI should be viewed as a productivity catalyst that can support GDP growth and corporate profitability, even if it reduces labor intensity. Current valuations make some risks unattractive, especially credit, where spreads are tight and compensation for risk is limited. The biggest recent portfolio changes reflect refinement, not retreat from risk: reduce expensive exposures, keep equity risk on, and seek better risk-reward. Thematic investing can add value if it is sized properly, stress-tested, and timed with discipline; otherwise it is prone to behavioral mistakes. Active management is used sparingly because low-cost index exposure often wins after fees; active is reserved for areas where it can truly add value. Future model portfolios will likely rely more on SMAs/direct indexing and options overlays, especially in taxable accounts.

Data Points: BlackRock U.S. model assets under management: Over $220 billion - Assets Michael Gates is responsible for in the U.S., since launch over 10 years ago. Estimated U.S. assets tracking models: About $4.2 trillion - Gates cites this as the current scale of the model-based investing market in the U.S. Total addressable market for model-based investing: $11.5 trillion - Estimated advisory-market opportunity where model adoption can still expand. Largest common target allocation: 60/40 - BlackRock’s plurality allocation, representing the most frequently chosen equity-bond split. Recession probability: Around 20% - Quantitative recession models cited by Gates suggest roughly one-in-five odds over the next 12 months. Largest-cap stock cohort cited: S&P 100 exposure reduced - BlackRock cut exposure to the largest U.S. stocks amid widening dispersion and earnings divergence. Average capitalization of the smaller 400 stocks in the S&P 500: $200 billion - Used to illustrate that even the smaller names in the index are still very large companies. AI/tech thematic portfolio size: Less than 50 names - Gates describes a concentrated active portfolio used for AI-related exposure. Active manager performance reference: Top one percentile trailing 12 months - An active U.S. core manager added to the portfolio had exceptional Morningstar performance ranking. Historical timing reference: 2019 underweight credit; March 2020 added risk back - Used as an example of risk management preserving flexibility during market stress. Portfolio stance: 3% equity overweight - Referenced as the team’s stance heading into the 2020 pandemic selloff.

Pivotal Quotes: "Models are actively managed multi-asset portfolios with strategic allocations and tactical tweaks" — Michael Gates: His plain-language definition of model portfolios early in the interview. "The free lunch of finance is diversification." — Michael Gates: Explaining why complementary active and indexed risks can coexist within multi-asset models. "We’re entering into a period of sustained productivity growth in the U.S., and especially globally." — Michael Gates: His macro thesis linking AI, productivity, growth, inflation, and equity-market support.

Implications: Model portfolios are becoming a central advisory toolkit, with more tax-aware, customized, and technologically integrated solutions likely to dominate. For investors, the key takeaway is that disciplined risk management and selective active use matter more than broad market timing.