Felix De Balanzo

Reading books and writing is my passion, so I share it here.

I also build AI agents for amazing small business owners.

[Felix De Balanzo @FelixBalanzo]

@michaeljburry Super honest take, have you tried Pilates?

I had back pain for like 10 years and once I started strengthening my inner core and my glutes all the pain went away

I don’t really like it but pilates really works small muscles and puts everything in places

[Felix De Balanzo @FelixBalanzo]

in my opinion that doesnt matter i grew up in europe and been living after in the us

recently had to cut carbs because i was getting fat, never happeend in spain

the problem is the what the us puts in the food not how they eat

food here is hypercaloric same foods diferent ingredients for example in europe bread is flour, water, and salt.

In here i always had to watch out for sugar or cornstarch

[Felix De Balanzo @FelixBalanzo]

@martinvars Martín inviertes en startups?

[Felix De Balanzo @FelixBalanzo]

@Blansi93 thank youQ

[Felix De Balanzo @FelixBalanzo]

@hthieblot Dmd you

[Felix De Balanzo @FelixBalanzo]

@geoffwoo We have a moat on top of ai, old industry and physical moat plus AI

Can I DM you?

[Felix De Balanzo @FelixBalanzo]

It's funny. I always wanted to learn how to code, but I always found an excuse not to. That completely changed with AI. I started diving into platforms like n8n, Vapi, and Supabase, which sparked a drive to learn how things actually work under the hood. Now, I use AI as my 24/7 tutor to answer my 50 daily "stupid" questions. I’m not sure if this is the traditional path, but I'm finally learned Python and not as something i am memorizing but the logic , not sure if it’s the right path but i am loving it

[Felix De Balanzo @FelixBalanzo]

@noahkagan Can you get exposure to home service business owners?

[Felix De Balanzo @FelixBalanzo]

@StephNass Investor list

[Felix De Balanzo @FelixBalanzo]

@hthieblot Building a new advertising acquisition channel for home services where they only pay per lead fully automated and brand first

[Felix De Balanzo @FelixBalanzo]

@_guglielmo sent you a dm

[Felix De Balanzo @FelixBalanzo]

@toddsaunders Are you also looking for ai builders?

[Felix De Balanzo @FelixBalanzo]

@Codie_Sanchez Building this and got 5 customers already in New Jersey , checkout https://t.co/XsKZlDX6E5

[Felix De Balanzo @FelixBalanzo]

The Jevons Paradox and the AI Ecosystem
There is a fundamental misunderstanding about how disruptive technologies impact the job market. Whenever a new tool arrives, the immediate reaction is panic over widespread job destruction. To understand why this assumption is usually wrong, we must look at the Jevons Paradox.

For the sake of argument, consider the invention of the tractor in the 1890s. At the time, roughly 80% to 90% of the population was tied to agriculture—a physically grueling, low-margin existence where one farm could feed only about seven people. The general consensus was that mechanized farming would leave millions permanently unemployed.

Instead, the exact opposite occurred. The tractor allowed a fraction of the workforce—eventually dropping to just 1% to 3% of the population—to produce exponentially more food, with a single farmer today feeding over 150 people. This efficiency drove down prices and made food abundant. More importantly, the surplus of profits and time didn't eliminate human labor; it elevated it. It freed up human capital to build entirely new, higher-value sectors that previously couldn't exist at scale: specialized sales, marketing, accounting, and complex customer service. We traded a system where many were performing unproductive manual labor for a system where a few efficient tools unlocked entirely new industries.

But the most crucial strategic lesson of the tractor isn't just about the farmers; it is about the market architecture. As agriculture mechanized, the actual production concentrated into massive, centralized corporations. However, a massive, decentralized ecosystem exploded around them to keep those machines running. The companies supplying the fuel, manufacturing the parts, and providing the daily maintenance thrived indefinitely.

What happened during that industrial shift will pale in comparison to the economic transformation driven by Artificial Intelligence. If we draw a direct parallel, today's foundational AI models are the modern tractors. They are mechanizing the operational heavy lifting and repetitive workflows of the modern business.

Therefore, the strategic error many tech companies are making today is trying to build a new tractor. The foundational AI space is already consolidating at the very top. The true opportunity—and the most critical need in the market—lies in servicing the ecosystem.

The most valuable businesses of the next decade will not be the AI providers, but the AI mechanics and fuel suppliers. The market requires architects who can provide the critical infrastructure: connecting the APIs, structuring the data to "fuel" the models, and providing the ongoing, white-glove maintenance required to make these agents function flawlessly in high-end, real-world environments. The ultimate question is no longer what AI will replace, but who will provide the indispensable services required to keep it running.

[Felix De Balanzo @FelixBalanzo]

@IdMintThat thank you, i spend a lot of time thinking about the issue, writing helps🙏

[Felix De Balanzo @FelixBalanzo]

The Jevons Paradox and the AI Ecosystem
There is a fundamental misunderstanding about how disruptive technologies impact the job market. Whenever a new tool arrives, the immediate reaction is panic over widespread job destruction. To understand why this assumption is usually wrong, we must look at the Jevons Paradox.

For the sake of argument, consider the invention of the tractor in the 1890s. At the time, roughly 80% to 90% of the population was tied to agriculture—a physically grueling, low-margin existence where one farm could feed only about seven people. The general consensus was that mechanized farming would leave millions permanently unemployed.

Instead, the exact opposite occurred. The tractor allowed a fraction of the workforce—eventually dropping to just 1% to 3% of the population—to produce exponentially more food, with a single farmer today feeding over 150 people. This efficiency drove down prices and made food abundant. More importantly, the surplus of profits and time didn't eliminate human labor; it elevated it. It freed up human capital to build entirely new, higher-value sectors that previously couldn't exist at scale: specialized sales, marketing, accounting, and complex customer service. We traded a system where many were performing unproductive manual labor for a system where a few efficient tools unlocked entirely new industries.

But the most crucial strategic lesson of the tractor isn't just about the farmers; it is about the market architecture. As agriculture mechanized, the actual production concentrated into massive, centralized corporations. However, a massive, decentralized ecosystem exploded around them to keep those machines running. The companies supplying the fuel, manufacturing the parts, and providing the daily maintenance thrived indefinitely.

What happened during that industrial shift will pale in comparison to the economic transformation driven by Artificial Intelligence. If we draw a direct parallel, today's foundational AI models are the modern tractors. They are mechanizing the operational heavy lifting and repetitive workflows of the modern business.

Therefore, the strategic error many tech companies are making today is trying to build a new tractor. The foundational AI space is already consolidating at the very top. The true opportunity—and the most critical need in the market—lies in servicing the ecosystem.

The most valuable businesses of the next decade will not be the AI providers, but the AI mechanics and fuel suppliers. The market requires architects who can provide the critical infrastructure: connecting the APIs, structuring the data to "fuel" the models, and providing the ongoing, white-glove maintenance required to make these agents function flawlessly in high-end, real-world environments. The ultimate question is no longer what AI will replace, but who will provide the indispensable services required to keep it running.

[Felix De Balanzo @FelixBalanzo]

Have the modern political parties fundamentally abandoned their classical roots? By its classical definition, conservatism prioritizes institutional trust and social stability, while classical liberalism champions individual freedom. Yet, an analysis of modern policy reveals a systemic paradox.

> Today, both major parties frequently contradict their stated philosophies once they achieve power. Republicans champion limited government, yet increasingly leverage state power for social interventions and protectionist economic tariffs. Conversely, Democrats continuously attempt to mandate new social and economic frameworks from the top down.

> When in power, both factions default to imposing their ideologies rather than fostering them organically. They are no longer acting as classical conservatives or liberals; they are simply competing for the same tools of state control. Ultimately, any political movement that relies on state imposition rather than cultural invitation fundamentally fractures the core principle of individual sovereignty.

[Felix De Balanzo @FelixBalanzo]

@tailopez What do you think about Spain?

[Felix De Balanzo @FelixBalanzo]

@AlexHormozi Thank you🙏 I really needed to hear that