Morningstar Conference Focuses on Geopolitics, AI and Private Markets
\nThe Morningstar Investment Conference was held June 17-18, 2026, in Chicago. The event focused on how financial advisors and firms are addressing artificial intelligence (AI), private markets, geopolitical factors, and increasing complexity.
\nGeopolitical Factors
\nMorningstar CEO Kunal Kapoor stated that AI will not replace financial advisors but will elevate expectations for the value they provide. He emphasized human judgment, context, and personalized advice as essential components of this evolution.
\nWalter Russell Mead, a geopolitical analyst who discussed historical continuity in U.S. foreign policy at the conference, contended that China's strength is exaggerated. He argued against an inevitable \"Thucydides Trap\" in U.S.-China relations.
\nPanelists noted that China is emerging as a dominant force in AI, partly due to its competitive advantage in energy production.
\nThe global landscape was described as transitioning from globalization to a more multipolar model. This shift is characterized by strategic competition, industrial policy, and increased defense spending. Geopolitical risk is considered a structurally elevated and critical variable for investors in 2026.
\nInvestors are advised to prepare for structurally higher inflation, lower growth, and more differentiated macro and market outcomes. Ongoing conflicts in Eastern Europe, the Middle East, and Latin America, along with U.S.-China tensions, remain significant investor concerns.
\nCritical minerals, energy, and defense spending were identified as key sectors influenced by geopolitical shifts.
\nArtificial Intelligence Outlook
\nAI is a central force shaping both risk and reward in the macro and markets outlook for 2026. AI is projected to significantly accelerate securities trading, market speed, and potentially volatility as algorithmic and generative AI-driven strategies become more prevalent.
\nVanguard projects an 80% chance of global growth deviating from consensus over the next five years. Vanguard expects AI to mitigate negative shocks and potentially boost U.S. GDP growth above forecasts.
\nThe AI IPO boom in 2026 features companies like OpenAI, Anthropic, and SpaceX. Major hyperscalers, including Microsoft, Google, Meta, and Amazon, are collectively investing over $725 billion in AI infrastructure in 2026.
\nMorgan Stanley Research estimates nearly $3 trillion in global AI-related infrastructure investment by 2028.
\nRisks associated with AI include supply chain fragmentation due to U.S.-China competition, labor disruption, and the increased value of secure, domestic infrastructure. Lisa Shalett, Chief Investment Officer for Wealth Management at Morgan Stanley, emphasized the importance of active portfolio positioning to identify true AI winners beyond broad tech exposure.
\nMalik Khan, Senior Equity Analyst at Vanguard, highlighted \"moats\" around leading AI companies. He cited massive upfront costs for model training and talent acquisition as significant barriers to entry.
\nPrivate Markets Evolution
\nPrivate markets are increasingly becoming a core component of \"whole-portfolio strategies\" for investors. These assets offer diversification and opportunities in areas such as AI, infrastructure, and real estate. Global private markets are anticipated to grow at approximately 10% annually, potentially reaching $25 trillion in assets under management (AUM) by 2029.
\nPrivate markets are evolving to be more transparent, holistic, and accessible. New fund structures are enhancing liquidity and broadening investor access. Private credit continued to be a dominant force in credit market activity in 2026, expanding into specialized sub-asset classes like asset-backed lending and litigation finance.
\nPrivate equity managers are increasingly pursuing specialized strategies, including specialty finance, digital assets, and infrastructure. The secondary markets are expanding, providing growing opportunities for liquidity and portfolio management.
\nDecarbonization is a fundamental consideration across private markets, influencing capital allocation and asset management decisions. Key risks for private assets in 2026 include rising real yields, regulatory and tax uncertainty, and intense competition for high-quality deals. These challenges are exacerbated by AI volatility and geopolitical tensions.
\nPrivate credit quality has shown signs of weakening in 2026, with accelerating defaults and downgrades. This trend is linked to AI concerns impacting software stocks favored by private credit lenders."

