Kim argues that technology's large market weight reflects free cash flow, margins, and growth rather than the revenue-light speculation of the late 1990s. Software and semiconductors now include some of the world's most profitable businesses.

Technology and communication services contribute roughly 40% of free cash flow
The sector combines high growth with high margins
Semiconductors can exceed software margins
Market-cap appreciation has followed business performance
Today's leading companies differ fundamentally from dot-com-era concepts

“It actually has the highest margin. It is the highest free profitable margin.”
Tony Kim · 19:12

“They have the most profitable companies with the most growth, which generates the most free cash flow, which generates the returns”
Tony Kim · 20:21

#technology#free cash flow#profit margins#valuation

Hot Take· 1

Hot Take16:02

Why Specialized Active Funds Can Survive the Passive Boom

Kim expects broad generic market exposure to remain under pressure from passive products. He sees a stronger future for specialized active funds where deep domain knowledge and adaptability can produce genuinely differentiated decisions.

Broad market exposure is increasingly commoditized
Sector and thematic expertise can support differentiated views
Rapidly changing fields demand flexibility
Generalists face an information disadvantage in specialized domains
The ETF is a container that can hold either passive or active strategies

“I think that is more representative maybe where the future of active industry is going where one can express a differentiated view, and invariably that…”
Tony Kim · 16:29

“generalists, I think are at information asymmetry disadvantage to those that have domain specificity.”
Tony Kim · 17:36

#active management#etfs#specialization#passive investing

Explainer· 2

Explainer39:23

The Megacaps Hide Depressed Valuations Across Technology

Kim characterizes aggregate technology valuations as fair but highly dispersed. The largest winners command elevated valuations, while much of software and semiconductors outside the AI leaders remains near levels last seen before the pandemic-era boom.

Aggregate valuation can conceal major internal dispersion
Many technology stocks never fully recovered from 2022
Megacap performance is stronger than the rest of the sector
Non-AI software and semiconductor companies have lagged
Technology should not be valued as a single uniform block

“So a large part of tech is still at depressed levels.”
Tony Kim · 40:01

“Even if you're not in the AI class, you know you've been left behind.”
Tony Kim · 40:49

#valuation#megacaps#software#semiconductors

Explainer45:47

Tesla's Next Unlock May Be Autonomy, Not More Premium Cars

Kim argues that Tesla's Western EV growth has slowed as its core price band approaches saturation and adoption faces a ceiling. A cheaper vehicle could expand the addressable market, but he sees autonomy and robotics as Tesla's more important strategic pivot.

Tesla's Western EV ascent has slowed or stalled
Premium and mass-market vehicle categories have different ceilings
A $25,000-$30,000 car could unlock a much larger market
The vehicle can serve as a delivery mechanism for autonomy
Operational Waymo fleets show that autonomous transport is becoming real

“I think Tesla's main pivot really and even Elon would will tell you it's not about the car.”
Tony Kim · 47:49

#tesla#evs#autonomy#robotics

Story· 1

Story02:46

How Engineering Became Tony Kim's Edge in Finance

Kim began in industrial automation before moving through business school, technology investment banking, and public-market investing. Engineering gave him technical grounding, while M&A added strategic and financial rigor and investing let him build persistent domain knowledge.

Rockwell Automation exposed Kim to manufacturing across many industries
Technology bankers valued the combination of engineering and finance
M&A demanded detailed transaction-level accuracy
Long-term sector coverage created deeper domain knowledge
Investing changed the mindset from serving a client to risking capital

“I thought I wanted something a higher level, more strategic in nature.”
Tony Kim · 04:37

“You're putting your own capital at risk.”
Tony Kim · 11:23

#career#engineering#investment banking#investing

Tool· 2

Tool41:27

Inside BlackRock's Annual Silicon Valley Bus Tour

Kim brings roughly 30 BlackRock investors from several teams to meet senior leaders at public and private technology companies on site. The less formal, strategically focused format provides a yearly barometer of industry priorities while strengthening internal relationships.

The tour combines investors from multiple BlackRock teams
On-site conversations focus beyond quarterly results
The annual agenda reveals how industry priorities evolve
AMD's Zen redesign surfaced before its market-share gains
Tesla's Model 3 production scaling produced another pivotal signal

“it's really more of a strategic discussions than relitigating the quarter.”
Tony Kim · 42:20

“it's a great way. It's also great for the people because many times, even you know, within a firm like Black Cruct, any of the…”
Tony Kim · 42:50

#company meetings#silicon valley#research#management

Tool52:04

Research Each Technology at Its Own Rate of Change

Kim rejects a single research cadence for all technology sectors. AI may require daily attention, while mature smartphone markets move more slowly; he keeps pace through extensive reading, multimedia sources, and about a thousand company meetings annually.

Different industries operate on different time scales
AI can change day to day
Mature categories support a slower research cadence
Multimedia sources complement written research
Continuous comparison tracks winners, losers, and changing conditions

“you have a spectrum of rates of change.”
Tony Kim · 52:18

“I'm always doing the calculus. Who's winning, who's losing, who's winning, who's losing, what's changing, what's not.”
Tony Kim · 53:11

#research#information flow#company meetings#technology

Takeaway· 4

Takeaway31:12

AI Agents Will Move Far Beyond Booking Restaurants

Kim expects AI systems to progress from simple consumer assistance into complex professional tasks such as diagnostics and tax support. He views current applications as an early stage in a broader scaling of machine intelligence.

Consumer assistants will become more personalized
Medical diagnostic performance is already becoming competitive
The complexity of executable tasks should rise
Scaling laws underpin expectations of improving capability
Current products represent the beginning rather than maturity

“the complexity of the tasks will only go higher in terms of what they will be capable to do.”
Tony Kim · 32:23

“And so we are just at the very, very very beginning of that.”
Tony Kim · 32:44

#ai agents#scaling laws#diagnostics#automation

Takeaway49:21

A Fixed AI Index Risks Freezing Today's Winners in Place

Kim expects AI to remain a decade-long trend but does not expect today's leaders to remain unchanged. BlackRock's concentrated AI ETF therefore spans the stack from compute to applications and uses active management to adapt as the industry evolves.

The portfolio holds roughly 30-plus companies
Exposure spans compute, infrastructure, and applications
The fund targets companies building key elements of AI
Industry leadership is expected to change materially
Active management enables adaptation that a fixed index cannot

“I think this is going to be a decade long, if not longer, trend”
Tony Kim · 49:44

“we need dynamic adaptation. We need to be flexibly an adaptive”
Tony Kim · 50:36

#ai investing#active etf#portfolio#adaptation

Takeaway53:57

Why Chasing Every Quarter Makes an Active Fund Lose Its Soul

Kim acknowledges that active managers need investor and management support to survive severe drawdowns such as technology's 2022 collapse. His response is to make analytically grounded, multi-year bets rather than continually shifting with quarterly market pressure.

A track record can create latitude during difficult periods
Concentrated active positions need time to manifest
Quarterly chasing turns investing into momentum trading
Domain expertise should support multi-year decisions
Major environments can still require adjustments

“we're trying to make systematic bets to the best of our ability”
Tony Kim · 56:01

“if we were to continually shift by the wind every quarter, you kind of lose your soul effectively of what you stand for”
Tony Kim · 57:01

#long-term investing#active management#drawdowns#conviction

Takeaway1:05:30

AI Makes Holistic Thinking More Valuable Than Finance Mechanics

Kim tells aspiring investors that finance is teachable, while flexible and holistic thinking will become the scarcer advantage. As AI handles more domain tasks and may know more facts than an individual, people must reason and plan at the level of an architect.

Finance mechanics can be learned
Great investors need strong thinking skills
Reasoning must remain flexible and holistic
AI will automate many analytical tasks
Human value shifts toward architectural synthesis and planning

“It's not so much the finance. Finance can be taught easy. It's about thinking”
Tony Kim · 1:05:34

“Always bet on the future, not on the current past. Bet on the future.”
Tony Kim · 1:07:03

#careers#ai#thinking#investing

Frameworks in this episode

Power-Law Technology Portfolio

Technology Ecosystem Deconstruction Map

Insights & moments

⚡Myth Buster· 1

Technology's Market Weight Is Not a Dot-Com Replay

◆Hot Take· 1