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Colossus (Invest Like the Best / Business Breakdowns)Podcast8 Jan 2019Source: investlikethebest.libsyn.comHost: Patrick O'Shaughnessy

Abby Johnson – Future of Finance - [Invest Like the Best, EP.116]

In plain words

This interview features Fidelity CEO Abby Johnson on the future of finance. She says the industry has become incredibly complex, but technology can't replace human advisors—people want to talk about their money. She believes crypto will become a real asset class, and Fidelity set up a mining operation to learn it. Key holdings: Robinhood (strong user acquisition but uncertain long-term profitability), Acorns (mentioned as a digital advisor case), and eMoney (a software tool Fidelity acquired, viewed positively).

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At a Glance Fidelity Investments Chairman and CEO Abby Johnson discussed in a podcast how large asset management firms are navigating industry transformation. Key insights include: digitalization is a strategic priority, requiring a balance between robo-advisors and human advisors; blockchain and ma

~13 min full read · 12 sections
Deep Analysis

At a Glance

Abby Johnson (Chairman and CEO of Fidelity Investments), along with key team members (Tom Jessup, Vipin Mayar), discusses how large asset management firms are navigating industry transformation. Core assessment: Digitalization is a strategic priority, but technology can never fully replace human advisors—"People want to discuss their money with other people" (Abby Johnson). The balance lies in using technology for standardized services and humans for complex decision-making and trust-building.


1. Industry Transformation: From "Two Choices" to "Explosion of Complexity" with "Countless Options"

Abby Johnson believes that the most fundamental change in the asset management industry is the exponential growth in choice complexity.

  • Historical Context: When she entered the industry in 1988, retail investors had only two choices—buy individual stocks through a traditional stockbroker or purchase mutual funds. Products such as ETFs, managed accounts, and derivatives did not exist at the time.
  • Acceleration in the Past Decade: Fee pressure (over the past 10 years) and regulatory changes (over the past 10 years) are the two core driving forces.
  • Response Strategy: Fidelity needs to transform from a "successful mutual fund company" into an "innovative solutions provider," with the core mission of helping the "mass affluent" make informed decisions amid an extremely complex array of choices.

> "We need to innovate and provide more solutions… to help people navigate a landscape that is incredibly complex for those outside the industry." (Abby Johnson)


2. Decision Framework: Reversible vs. Irreversible, and the Challenge of "MVP Culture"

Abby Johnson proposes a decision-making taxonomy based on "reversibility" and identifies the core cultural obstacle to innovation in large companies.

  • Decision Dichotomy: She categorizes decisions into "reversible decisions" (most daily choices) and "irreversible decisions" (long-term strategy). Reversible decisions should be tested quickly through trial and error, while irreversible decisions require more careful deliberation.
  • P&L Framework: Daily decisions are structured around the profit and loss statement — ① whether they meet existing client expectations (the foundation); ② whether they reduce the unit cost of recurring services (addressing expense pressure); ③ how to allocate remaining capital to invest in the future.
  • Cultural Challenge: Financial services have traditionally had "zero tolerance" for mistakes, but innovation requires a "minimum viable product (MVP)" mindset. Abby emphasizes: "No one wants to launch something that might receive imperfect feedback, but if you are unwilling to do that, you cannot move quickly."
  • Risk Management: By creating "small, isolated spaces," teams can test MVPs in a controlled environment and iterate using real client feedback.

> "Putting together small, isolated spaces where people can challenge themselves to build an MVP and test it with real clients on a pilot basis — that is culturally very difficult for us." (Abby Johnson)


3. Balancing Digitalization and Human Relationships: Technology is a Necessary Condition, Not a Sufficient One

Abby Johnson argues that digital capabilities are the baseline for competition but cannot meet clients' overall needs—the role of human advisors will not disappear but will be enhanced by technology.

  • Digital Starting Point: Customer interaction methods have been reshaped by e-commerce companies, and Fidelity must keep pace—providing fast, navigable, and mobile-friendly basic service capabilities.
  • Relationship Definition: A good relationship = greater client confidence in the institution after each interaction. "Clients' confidence in us as an institution is increasingly higher" is the core metric for measuring success.
  • Irreplaceable Human Element: People's attitudes toward money are highly personal, with no standard answers. Technology can "identify and track these attitudes," but final decisions require human judgment.
  • Technology Enhancing Humans: Advisors need "decision-support tools" to manage vast amounts of information, but the core human value—understanding changes in clients' lives, market shifts, and portfolio suitability—cannot be automated away.

Tom Jessup adds: Younger generations (e.g., Robinhood users) are attracted to low-cost digital platforms, but long-term monetization potential is questionable. "If success means attracting millions of potential consumers at low cost, then these platforms have indeed succeeded... but the question is whether they can scale into large, profitable enterprises."


4. Blockchain and Cryptocurrency: From "Security and Payments" to a New Asset Class

Abby Johnson detailed Fidelity's exploration journey in the blockchain space and concluded that cryptocurrencies will become a genuine asset class.

  • Origin (around 2010): Initial interest stemmed from two areas highly relevant to Fidelity—① security (cybersecurity as a core issue); ② payment networks (potential to replace existing payment systems).
  • Exploration process: Held weekly meetings with several colleagues, proposing approximately 20 use cases, most of which were unsuccessful. The successful implementation was: allowing clients to donate to charitable endowment funds using Bitcoin.
  • Key decision: Pushed to establish a small mining operation—not to make money (it ultimately turned a profit unexpectedly), but to "truly learn the business at the foundational level," attract the talent needed for the future, and secure a position in the industry.
  • Asset class judgment: Abby clearly concluded that cryptocurrencies will become a genuine asset class—even if prices decline, the current market still has a scale of approximately $300 billion. "If these assets develop—and I believe they will—they will become something people want to invest in, and we must be prepared for that."

> "The concept of digital assets and unique digital assets is very interesting... If these assets develop—and I believe they will—they will become something people want to invest in." (Abby Johnson)


5. Artificial Intelligence: Machine Learning vs. Ontology, and the "Last Mile" is Human Gray Matter

Vipin Mayar highlights a core distinction for AI in financial services: machine learning handles correlation, while ontology (knowledge graphs) handles causality. The true power lies in combining both.

  • Current State of Machine Learning: Requires large volumes of structured data to infer patterns and correlations, but cannot explain "why."
  • Ontology: Builds a knowledge base through "triples" (assertions about people and things), encoding human reasoning. For example: "Bond prices are inversely correlated with interest rates"—this is a causal relationship known to humans and can be encoded into the system.
  • Key Distinction: Machine learning deals with correlation, while ontology deals with causality. The combination of both is most powerful.
  • Application Scenarios:
  • Customer Support: Based on call logs and customer behavior data, historical solutions are structured into a framework. When a new customer calls, the system automatically matches the best solution.
  • Investment Research: The thought process of a senior analyst (e.g., in the oil and gas sector) is encoded as a series of assertions. This knowledge is then used to cover smaller companies—those that may not warrant coverage by a high-cost analyst personally.
  • Humans Are Irreplaceable: Vipin believes that "the last mile in finance may really be about the organization's gray matter and intellectual property"—machines cannot fully replace human judgment and reasoning chains.

> "In finance, I think the last mile may really be about the organization's gray matter and intellectual property… The machine says 'buy this today,' but why? In most cases, the machine cannot tell you." (Vipin Mayar)


6. Data Strategy: Uniqueness, Continuity, and Augmentability

Vipin Mayar proposes three core metrics for a high-quality data strategy and emphasizes the importance of experimental design.

  • Three Metrics:

1. Uniqueness: Does the dataset contain something that can provide a distinct advantage?

2. Continuity (Instrumentation): Is the data consistently available? Continuous availability allows algorithms to improve in near real-time, rather than waiting for the next data push.

3. Augmentability: Can the data complement and enhance existing information to form a more complete picture?

  • Common Mistake: People often only build "feedback loops" to bring back results, but overlook edge cases and lift relative to the baseline. Experiments with control or randomized groups need to be designed to truly measure incremental value.

> "AI is only as good as the data it is based on... For any small company venturing into this space, I would say: truly think about the data, because once the algorithm is built, data will become the limiting factor." (Vipin Mayar)


7. Brand and Trust: The Unshakable Foundation of Financial Services

Tom Jessup and Abby Johnson agree that trust is the core foundation of a financial brand, with technological attributes (innovation, growth) serving as an overlay layer.

  • Trust First: Many startups once underestimated the importance of trust, favoring "tech-driven or growth-oriented brand attributes," but "when you are handling other people's money or assets, trust is extremely important at every level" (Tom Jessup).
  • Brand Layering: Traditional asset managers overlay "professional expertise"; fintech companies overlay "innovation" or "anticipating customer needs."
  • Customer Experience Metrics: Abby's point that "customers feel more confident after every interaction" serves as a practical standard for measuring trust-building.
  • Lessons from Startups: During the 2017 cryptocurrency boom, many platforms struggled with customer onboarding, lacked customer support, and experienced frequent trading platform outages—"leaving a poor impression on customers" (Tom Jessup). These institutions are now "doubling down on customer support."

VIII. Investment Capability: Core Qualities Unchanged — Numbers, Facts, and People

Abby Johnson believes that the core qualities of the best investors have not changed over the past few decades.

  • Three Core Qualities:

1. The ability to read numbers (quantitative analysis)

2. The ability to remain calm in the face of facts (objectivity, free from emotion)

3. The ability to understand people (assessing management credibility and execution capability)

  • Peter Lynch's Influence: Abby calls Lynch "Fidelity's greatest investor." He not only generated substantial returns for clients but also cultivated Fidelity's pipeline of investors (Will Danoff, Joel Tillinghast, Steve Weimer, etc.).
  • Personal Anecdote: Abby recalls the nervousness she felt when recommending a small machinery stock to Lynch early in her career — "It was one of the most nerve-wracking moments of my life."

9. Women in Financial Services: Client Structure Changes Driving Organizational Transformation

Abby Johnson points out that changes in the client base (more female clients) are a direct business need driving organizational diversity.

  • Client Demand: Female clients often "specifically request to work with women" when entering Fidelity branches. While any Fidelity representative should be able to serve any client, "women have a different attitude toward investing than men" (as confirmed by research), thus requiring more female client service personnel.
  • Value of Diversity: Investment organizations need "diversity of thought and perspective"—Fidelity's culture encourages differing views on stock holdings (buy/sell/hold), and this culture of debate naturally requires people from diverse backgrounds.
  • Business Necessity: This is not about "political correctness" but a "baseline business need."

> "We need more women in our organization so that we can serve the women who are our clients... This is a baseline business need that is very important to us." (Abby Johnson)


Mentioned Positions

Position Analyst Stance Key Data
Robinhood Neutral (acknowledges customer acquisition capability, questions long-term monetization) Customer base grew from 4 million to 5 million within a week after announcing crypto plans
Acorns Neutral (mentioned as a digital advisory case) Not disclosed
eMoney (acquired by Fidelity) Bullish (as a software tool serving intermediaries) Not disclosed
Cryptocurrency Market Overall Bullish (will become a genuine asset class) Current market cap of approximately $300 billion

Judgments Worth Remembering

1. "Greater client confidence after each interaction" is the ultimate metric for financial services (Abby Johnson) — more fundamental than NPS or retention rates, as it directly measures the accumulation of trust.

2. The dichotomy between reversible and irreversible decisions (Abby Johnson) — most daily decisions are reversible and should be made through rapid trial and error; only a few long-term strategic decisions are irreversible and require more careful deliberation. The cultural barrier to innovation in large companies lies in "zero tolerance for mistakes."

3. Machine learning handles correlation, ontology handles causality, and the combination of both is truly powerful (Vipin Mayar) — the financial sector requires a "reasoning chain" (why the machine says so), not just predictive outcomes.

4. Cryptocurrency will become a true asset class (Abby Johnson) — even if prices retreat, the current market size of approximately $300 billion is already too large to ignore. Fidelity is "learning at the foundational level" by establishing a mining business.

5. The "final step" in financial services is human gray matter and intellectual property (Vipin Mayar) — machines cannot fully replace human judgment and reasoning chains, especially in investment decisions.

6. Three core metrics for data strategy: uniqueness, persistence, and enhancement (Vipin Mayar) — data volume is not the issue; data quality is the limiting factor.

7. Three core qualities of the best investors: reading numbers, staying calm with facts, and understanding people (Abby Johnson) — these qualities have remained unchanged over the past few decades, with technology serving only as an auxiliary tool.

8. "Under-promise and over-deliver" is the core communication principle for leaders (Abby Johnson) — after transitioning from an analyst to a manager, she found that the best corporate leaders all adhere to this principle.