Crucially, McKinsey's broader research — including reports titled "US wealth management in 2035" and "The signal in the sell-off" — argues that AI will replace specific advisory tasks (preparation, data extraction, document drafting) but not the advisor's role as the human accountable for judgment, trust, and behavioral coaching . The firm says the advisor's future differentiator will be emotional intelligence, the ability to build trust, and deep interpersonal connection with clients — not traditional investment knowledge .

AllianzGI CEO Warns of 'AI Socialism' and Market Herding

At AllianzGI's media day in Frankfurt, CEO Tobias Pross warned that widespread reliance on the same public large language models — such as Claude — for investment decisions could produce dangerous market herding .

"Let's assume we all invest in a passive exchange-traded fund… we will all get the same outcome. That's called socialism," Pross said . He argued that if everyone uses identical AI tools, they will reach identical conclusions, amplifying systemic risk and making losses more likely .

In response, AllianzGI is developing proprietary AI models to differentiate its investment process and avoid the homogeneity trap .

Startups Step In: Era Targets Clients Below $500,000

Era, a San Francisco-based AI-native wealth management startup, registered as an RIA in early 2026 and explicitly targets investors with less than $500,000 in assets — a segment traditional advisors often decline to serve .

"Era isn't here to replace financial advisors; we're here for the people they won't take a meeting with, be it lower income or folks not ready for an advisor," wrote Alex Norcliffe, Era's co-founder and CEO . "The traditional advisory model has a clear threshold: if you don't have $500,000 or more in investable assets, most registered advisors simply won't work with you."

The startup operates an AI platform paired with a newly launched financial data hub .

Broader Context: The Speed of Change

These developments are unfolding against a backdrop of rapid adoption. Fidelity's 2026 survey found that more than two-thirds of wealth management firms are already using generative AI, with half at pilot stage and half at scale . BCG published a parallel analysis in May 2026 arguing that AI agents may soon handle portfolio construction, financial planning, tax optimization, and client communication at scale, compressing fees and shifting competitive advantage toward firms with the largest client volumes .

Meanwhile, the share of Americans consulting AI for wealth management jumped from 10% in 2024 to 55% in 2025, according to TD Bank data cited in a Fortune investigation . An estimated 110,000 U.S. financial advisors are expected to retire between 2026 and 2034, widening the advisory gap for mass-affluent investors .

The Bottom Line

AI is not eliminating the need for financial advice. It is redrawing the economic lines around who gets human attention and who gets algorithmic service. For advisors, the path forward increasingly requires emotional intelligence and trust-building. For investors below the $500,000 threshold, AI-native platforms like Era may be the only option. And for the industry as a whole, the risk of uniformity — as AllianzGI's CEO framed it — is a new and urgent challenge.

Crucially, McKinsey's broader research — including reports titled "US wealth management in 2035" and "The signal in the sell-off" — argues that AI will replace specific advisory tasks (preparation, data extraction, document drafting) but not the advisor's role as the human accountable for judgment, trust, and behavioral coaching . The firm says the advisor's future differentiator will be emotional intelligence, the ability to build trust, and deep interpersonal connection with clients — not traditional investment knowledge .

AllianzGI CEO Warns of 'AI Socialism' and Market Herding

At AllianzGI's media day in Frankfurt, CEO Tobias Pross warned that widespread reliance on the same public large language models — such as Claude — for investment decisions could produce dangerous market herding .

"Let's assume we all invest in a passive exchange-traded fund… we will all get the same outcome. That's called socialism," Pross said . He argued that if everyone uses identical AI tools, they will reach identical conclusions, amplifying systemic risk and making losses more likely .

In response, AllianzGI is developing proprietary AI models to differentiate its investment process and avoid the homogeneity trap .

Startups Step In: Era Targets Clients Below $500,000

Era, a San Francisco-based AI-native wealth management startup, registered as an RIA in early 2026 and explicitly targets investors with less than $500,000 in assets — a segment traditional advisors often decline to serve .

"Era isn't here to replace financial advisors; we're here for the people they won't take a meeting with, be it lower income or folks not ready for an advisor," wrote Alex Norcliffe, Era's co-founder and CEO . "The traditional advisory model has a clear threshold: if you don't have $500,000 or more in investable assets, most registered advisors simply won't work with you."

The startup operates an AI platform paired with a newly launched financial data hub .

Broader Context: The Speed of Change

These developments are unfolding against a backdrop of rapid adoption. Fidelity's 2026 survey found that more than two-thirds of wealth management firms are already using generative AI, with half at pilot stage and half at scale . BCG published a parallel analysis in May 2026 arguing that AI agents may soon handle portfolio construction, financial planning, tax optimization, and client communication at scale, compressing fees and shifting competitive advantage toward firms with the largest client volumes .

Meanwhile, the share of Americans consulting AI for wealth management jumped from 10% in 2024 to 55% in 2025, according to TD Bank data cited in a Fortune investigation . An estimated 110,000 U.S. financial advisors are expected to retire between 2026 and 2034, widening the advisory gap for mass-affluent investors .

The Bottom Line

AI is not eliminating the need for financial advice. It is redrawing the economic lines around who gets human attention and who gets algorithmic service. For advisors, the path forward increasingly requires emotional intelligence and trust-building. For investors below the $500,000 threshold, AI-native platforms like Era may be the only option. And for the industry as a whole, the risk of uniformity — as AllianzGI's CEO framed it — is a new and urgent challenge.