Brew Markets: Inside Tesla’s Growth Engine with Former President Jon McNeill

Date: March 27, 2026
Host: Ann Berry
Guest: Jon McNeill, Former Tesla President, Author of "The Algorithm," Founder of DVX Ventures

Episode Overview

This episode of Brew Markets dives into the foundational principles behind Tesla’s incredible growth, as revealed by former President Jon McNeill. Host Ann Berry explores McNeill’s five-step “algorithm” for building high-performing companies, drawing on his experiences at Tesla, Lyft, in venture capital, and on public company boards. The conversation uncovers how challenging assumptions, ruthless process optimization, and a counterintuitive approach to automation fueled Tesla’s rise—and how these lessons apply beyond manufacturing. The episode offers direct insights into operational excellence, capital allocation, leadership traits, and investing in disruptive technology through ETFs.

Key Discussion Points & Insights

1. Jon McNeill’s Path to Tesla and Entrepreneurial Lessons

[03:02–04:13]

Grew up working on farms in rural Nebraska, moved into consulting (Bain) before becoming an entrepreneur with Bain Capital’s backing.
Scaled and exited six companies before joining Tesla when it had ~$2B revenue, growing it to ~$20B in 30 months.
Helped take Lyft public, then started building companies from scratch with DVX Ventures.

Notable Quote:

“I got promoted to a customer... I ended up starting, scaling, and selling to public companies. Six companies in a row.”
— Jon McNeill [03:31]

Connected to Elon Musk via Sheryl Sandberg, who declined Tesla’s President role herself and suggested McNeill.

2. The Five-Step “Algorithm” for Business Performance

[04:48–05:53]

Step 1: Question Every Assumption/Requirement
Step 2: Map and Eliminate Unnecessary Steps
Step 3: Simplify and Optimize
Step 4: Add Speed
Step 5: Automate Last

Notable Quote:

“If you automate a bad process, all you do is get to the bad answer faster ... so you want a really good process before you automate it.”
— Jon McNeill [07:35]

3. Why “Automate Last” Beats “Automate First”

[06:08–07:19, 07:59–09:45]

Many leading “digital” companies (e.g., Amazon, Doordash) started with highly manual, labor-intensive processes to understand and refine before automating.
AI and tech tempt teams to automate prematurely, risking institutionalizing inefficiency.
Tesla’s Model 3 production exemplified the dangers: designing a fully digital, tightly packed assembly line failed because it ignored real-world needs for human access and maintenance.
Resulted in the infamous “tent in the parking lot,” where cars were manually built to recover operations.

Notable Quote:

“If you automate a bad process, all you do is get to the bad answer faster... We automated something before we really ran it at capacity manually. We said, we're never going to do this again.”
— Jon McNeill [07:35, 09:10]

4. Challenging Orthodoxy: Tesla’s Entry into China

[09:45–12:15]

The default for Western automakers was 50/50 joint ventures in China; McNeill and Musk questioned whether this was truly a requirement.
Discovered it was just cultural precedent—there was no law or regulation demanding profit-sharing joint ventures.
Negotiated the first foreign-owned (economically) auto facility by aligning with China’s strategic five-year plan and ceding land ownership but maintaining full economic control.

Notable Quote:

“Elon would always ask these questions: is it a requirement of law? ... of physics? ... of safety?”
— Jon McNeill [10:07]

5. Optimization & Deletion: Focus on Customer Value

[12:35–13:52]

Used sticky notes to visually map every step of a process; only circled steps the customer would pay for.
Systematically deleted steps that created no customer value.
Applied this thinking to create innovative product bundles, such as integrating insurance, maintenance, and car payments—piloted successfully in Asia.

Notable Quote:

“We would delete all of it and make any of those steps beg to get back into the process... like 75 or 80% of the motion we put people through is waste.”
— Jon McNeill [13:01]

6. Capital Allocation: Lessons from Leading CEOs

[16:56–19:14]

Both Elon Musk and GM’s Mary Barra exemplify weekly, hands-on involvement with core engineering/product issues, despite vastly different styles.
Being “deep in the weeds” isn’t micromanagement; it’s about capital allocation and preventing surprises.

Notable Quotes:

“She said, 'Because I’m the capital allocator. There’s no better way for me to do that than to be in the room with the engineers…'”
— Jon McNeill [16:59]

“This isn’t micromanagement. This is leading on the core issues and being deeply informed.”
— Jon McNeill [18:19]

7. Rethinking Thematic Investing: Building Better ETFs

[20:23–24:21]

McNeill, frustrated by the misalignment of existing thematic ETFs (e.g., "electrification" ETFs filled with tech mega-caps unrelated to industry profit pools), created ETFs based on “bill of materials” rather than market cap weighting.
Collaborated with industry insiders (incl. ex-Tesla, Google) to identify true profit pool stocks (e.g., power electronics, memory, HVAC for data centers).
The result: superior performance in their AI infrastructure ETF (AIs), emphasizing underappreciated value chains.

Notable Quote:

“If you construct an ETF in this space with Nvidia in it, it looks like they get 80% of the dollars. He said, ‘They don't, they only get 8 to 10%.’”
— Jon McNeill [21:40]

8. Talent and Team Composition: Looking Beyond the Obvious

[24:33–27:12]

McNeill’s venture and ETF teams are predominantly operational leaders, not traditional “money people.”
Seeks talent with “fire in the belly,” combined IQ/EQ, customer-centricity, empathy, process orientation, and an ability to “think on a first principles basis.”
Praises “orthogonal hires”—those without direct industry experience, who can challenge groupthink and innovate across domains.

Notable Quotes:

“Mainly process intelligence and customer intelligence... the EQ is really focused on a customer. Like, what would the customer really want here?”
— Jon McNeill [25:09]

“Orthogonal hires... he didn’t want people around the table with preconceived notions. He wanted people who were going to think on a first principles basis.”
— Jon McNeill [26:08]

9. Leadership & Boardroom Dynamics: Firing, Culture, and ‘the Soul’ of a Company

[27:16–29:53]

Addresses Walter Isaacson’s portrayal of McNeill as “too reluctant to fire people” at Tesla—admits a different threshold than Elon, stands by a more measured approach.
On Lululemon board dynamics: notes the departing CEO tripled the business, but agrees boards must act decisively; operators on boards tend to move faster than financiers.
Warns against letting companies lose their “soul”—an over-focus on financial metrics can erode culture and customer connection.

Notable Quotes:

“I do have a different trigger than Elon does. It’s a fair thing for him to say, but I would still disagree today.”
— Jon McNeill [28:20]

"When teams get too oriented around financial returns... the soul can leak. My spidey sense is going up that we may need to put more emphasis... and ask more questions around product and soul."
— Jon McNeill [29:53]

Memorable Moments & Quotes

“You got promoted to customer.” — Host, on the transition from consultant to entrepreneur [03:30]
Tesla’s Tent: The emergency fix for botched automation on the Model 3 line [09:10]
Amazon’s First Iteration: Running book orders to the local shop by hand [06:24]
ETF Construction: “People are paying 75 bips for the Mag 7. That’s uncool.” [21:18]
Orthogonal Hires: Deliberate use of outsiders to spark first-principles thinking [26:08]
Leadership Philosophy: “Weekly compounding advantage … versus your competition who’s not doing that.” [18:19]
On Too Much Optimization: "When teams get too oriented around financial returns... the soul can leak." [29:53]

Key Timestamps

03:02 — McNeill’s career arc and first foray into entrepreneurship
04:48 — The “algorithm” five-step process revealed
06:16 — Case studies: Amazon, Doordash manual starts
07:59 — Tesla’s Model 3 automation faceplant and lessons learned
09:45 — Entering China: Challenging the joint venture assumption
12:35 — Visualizing process steps from customer perspective
16:56 — Capital allocation: Musk vs. Barra styles
20:23 — Building better thematic ETFs (bill-of-materials approach)
24:51 — “Fire in the belly”: What McNeill looks for in talent
26:08 — Orthogonal hires and cross-pollination of top talent
27:39 — On Walter Isaacson's description of McNeill as “reluctant to fire”
28:44 — Lululemon board: CEO decisions and operator- vs. finance-driven speeds
29:53 — On balancing “algorithm” with company soul

Final Thoughts

Jon McNeill’s playbook, honed at Tesla and through decades of operational leadership, offers a countercyclical take on building breakthrough businesses—start manual, question every requirement, optimize before you automate, and obsess over what truly creates value for the customer. This rigor applies as much to investment strategy as to organizational design, with McNeill’s approach to ETFs and talent shining as examples of first-principles thinking. The episode is a must-listen for anyone interested in scaling companies, operational innovation, or next-gen investing.

(Summary excludes all promotional ad reads and non-content chatter.)

Brew Markets: Inside Tesla’s Growth Engine with Former President Jon McNeill

Date: March 27, 2026
Host: Ann Berry
Guest: Jon McNeill, Former Tesla President, Author of "The Algorithm," Founder of DVX Ventures

Episode Overview

Key Discussion Points & Insights

1. Jon McNeill’s Path to Tesla and Entrepreneurial Lessons

[03:02–04:13]

Grew up working on farms in rural Nebraska, moved into consulting (Bain) before becoming an entrepreneur with Bain Capital’s backing.
Scaled and exited six companies before joining Tesla when it had ~$2B revenue, growing it to ~$20B in 30 months.
Helped take Lyft public, then started building companies from scratch with DVX Ventures.

Notable Quote:

“I got promoted to a customer... I ended up starting, scaling, and selling to public companies. Six companies in a row.”
— Jon McNeill [03:31]

Connected to Elon Musk via Sheryl Sandberg, who declined Tesla’s President role herself and suggested McNeill.

2. The Five-Step “Algorithm” for Business Performance

[04:48–05:53]

Step 1: Question Every Assumption/Requirement
Step 2: Map and Eliminate Unnecessary Steps
Step 3: Simplify and Optimize
Step 4: Add Speed
Step 5: Automate Last

Notable Quote:

“If you automate a bad process, all you do is get to the bad answer faster ... so you want a really good process before you automate it.”
— Jon McNeill [07:35]

3. Why “Automate Last” Beats “Automate First”

[06:08–07:19, 07:59–09:45]

Many leading “digital” companies (e.g., Amazon, Doordash) started with highly manual, labor-intensive processes to understand and refine before automating.
AI and tech tempt teams to automate prematurely, risking institutionalizing inefficiency.
Tesla’s Model 3 production exemplified the dangers: designing a fully digital, tightly packed assembly line failed because it ignored real-world needs for human access and maintenance.
Resulted in the infamous “tent in the parking lot,” where cars were manually built to recover operations.

Notable Quote:

“If you automate a bad process, all you do is get to the bad answer faster... We automated something before we really ran it at capacity manually. We said, we're never going to do this again.”
— Jon McNeill [07:35, 09:10]

4. Challenging Orthodoxy: Tesla’s Entry into China

[09:45–12:15]

The default for Western automakers was 50/50 joint ventures in China; McNeill and Musk questioned whether this was truly a requirement.
Discovered it was just cultural precedent—there was no law or regulation demanding profit-sharing joint ventures.
Negotiated the first foreign-owned (economically) auto facility by aligning with China’s strategic five-year plan and ceding land ownership but maintaining full economic control.

Notable Quote:

“Elon would always ask these questions: is it a requirement of law? ... of physics? ... of safety?”
— Jon McNeill [10:07]

5. Optimization & Deletion: Focus on Customer Value

[12:35–13:52]

Used sticky notes to visually map every step of a process; only circled steps the customer would pay for.
Systematically deleted steps that created no customer value.
Applied this thinking to create innovative product bundles, such as integrating insurance, maintenance, and car payments—piloted successfully in Asia.

Notable Quote:

“We would delete all of it and make any of those steps beg to get back into the process... like 75 or 80% of the motion we put people through is waste.”
— Jon McNeill [13:01]

6. Capital Allocation: Lessons from Leading CEOs

[16:56–19:14]

Both Elon Musk and GM’s Mary Barra exemplify weekly, hands-on involvement with core engineering/product issues, despite vastly different styles.
Being “deep in the weeds” isn’t micromanagement; it’s about capital allocation and preventing surprises.

Notable Quotes:

“She said, 'Because I’m the capital allocator. There’s no better way for me to do that than to be in the room with the engineers…'”
— Jon McNeill [16:59]

“This isn’t micromanagement. This is leading on the core issues and being deeply informed.”
— Jon McNeill [18:19]

7. Rethinking Thematic Investing: Building Better ETFs

[20:23–24:21]

McNeill, frustrated by the misalignment of existing thematic ETFs (e.g., "electrification" ETFs filled with tech mega-caps unrelated to industry profit pools), created ETFs based on “bill of materials” rather than market cap weighting.
Collaborated with industry insiders (incl. ex-Tesla, Google) to identify true profit pool stocks (e.g., power electronics, memory, HVAC for data centers).
The result: superior performance in their AI infrastructure ETF (AIs), emphasizing underappreciated value chains.

Notable Quote:

“If you construct an ETF in this space with Nvidia in it, it looks like they get 80% of the dollars. He said, ‘They don't, they only get 8 to 10%.’”
— Jon McNeill [21:40]

8. Talent and Team Composition: Looking Beyond the Obvious

[24:33–27:12]

McNeill’s venture and ETF teams are predominantly operational leaders, not traditional “money people.”
Seeks talent with “fire in the belly,” combined IQ/EQ, customer-centricity, empathy, process orientation, and an ability to “think on a first principles basis.”
Praises “orthogonal hires”—those without direct industry experience, who can challenge groupthink and innovate across domains.

Notable Quotes:

“Mainly process intelligence and customer intelligence... the EQ is really focused on a customer. Like, what would the customer really want here?”
— Jon McNeill [25:09]

“Orthogonal hires... he didn’t want people around the table with preconceived notions. He wanted people who were going to think on a first principles basis.”
— Jon McNeill [26:08]

9. Leadership & Boardroom Dynamics: Firing, Culture, and ‘the Soul’ of a Company

[27:16–29:53]

Addresses Walter Isaacson’s portrayal of McNeill as “too reluctant to fire people” at Tesla—admits a different threshold than Elon, stands by a more measured approach.
On Lululemon board dynamics: notes the departing CEO tripled the business, but agrees boards must act decisively; operators on boards tend to move faster than financiers.
Warns against letting companies lose their “soul”—an over-focus on financial metrics can erode culture and customer connection.

Notable Quotes:

“I do have a different trigger than Elon does. It’s a fair thing for him to say, but I would still disagree today.”
— Jon McNeill [28:20]

"When teams get too oriented around financial returns... the soul can leak. My spidey sense is going up that we may need to put more emphasis... and ask more questions around product and soul."
— Jon McNeill [29:53]

Memorable Moments & Quotes

“You got promoted to customer.” — Host, on the transition from consultant to entrepreneur [03:30]
Tesla’s Tent: The emergency fix for botched automation on the Model 3 line [09:10]
Amazon’s First Iteration: Running book orders to the local shop by hand [06:24]
ETF Construction: “People are paying 75 bips for the Mag 7. That’s uncool.” [21:18]
Orthogonal Hires: Deliberate use of outsiders to spark first-principles thinking [26:08]
Leadership Philosophy: “Weekly compounding advantage … versus your competition who’s not doing that.” [18:19]
On Too Much Optimization: "When teams get too oriented around financial returns... the soul can leak." [29:53]

Key Timestamps

03:02 — McNeill’s career arc and first foray into entrepreneurship
04:48 — The “algorithm” five-step process revealed
06:16 — Case studies: Amazon, Doordash manual starts
07:59 — Tesla’s Model 3 automation faceplant and lessons learned
09:45 — Entering China: Challenging the joint venture assumption
12:35 — Visualizing process steps from customer perspective
16:56 — Capital allocation: Musk vs. Barra styles
20:23 — Building better thematic ETFs (bill-of-materials approach)
24:51 — “Fire in the belly”: What McNeill looks for in talent
26:08 — Orthogonal hires and cross-pollination of top talent
27:39 — On Walter Isaacson's description of McNeill as “reluctant to fire”
28:44 — Lululemon board: CEO decisions and operator- vs. finance-driven speeds
29:53 — On balancing “algorithm” with company soul

Final Thoughts

(Summary excludes all promotional ad reads and non-content chatter.)