Hardware vs. Software - Atoms vs. Electrons. This dichotomy has huge economic repercussions. Mankind has spent millennia working on improving economic efficiency but the greatest leap forward has been achieved by Electrons over Atoms!
Not to go too far back, lets start 250 years ago, not to American politics but to Adam Smith and pin making.
Hardware - Atoms
Adam Smith introduced the famous pin factory example in his 1776 masterpiece, The Wealth of Nations, to illustrate the immense economic power of the division of labour. [1, 2, 3, 4, 5]
It has nothing to do with electrons, it was about a more efficient way to move atoms. Since them there have been many other atom moving improvements. AI has been a great helper!
Time and Motion Studies is an efficiency technique that breaks down repetitive human tasks into small, measurable steps. Pioneered in the early 20th century by Frederick Winslow Taylor, it combines time studies (to determine standard task completion times) with motion studies (to eliminate unnecessary movements) to optimize productivity, standardize work, and reduce waste. [1, 2]
Operations Research (OR) emerged as a formal scientific discipline during World War II. It applied advanced mathematics, probability, and statistical analysis to military problems—such as radar deployment, anti-submarine warfare, and resource allocation—providing commanders with objective, data-driven strategies rather than relying solely on intuition. [1, 2, 3, 4]
To build the Polaris submarine-launched ballistic missile, the U.S. Navy used PERT (Program Evaluation and Review Technique). Developed for the Fleet Ballistic Missile program, PERT is a probabilistic variation of the Critical Path Method (CPM). It was used to manage thousands of complex, intersecting tasks to accelerate development. [1, 2, 3, 4]
The Critical Path Method (CPM) is a project scheduling algorithm used to identify the longest sequence of dependent tasks. It determines the absolute minimum time required to complete a project. Tasks on this “critical path” have zero float, meaning any delay will directly postpone the entire project’s completion date.[1, 2, 3]
Our Management Consulting company used CPM to manage our major projects
The assembly line. Henry Ford revolutionized manufacturing by adapting the overhead “disassembly lines” of Chicago and Cincinnati meatpacking plants.. Instead of breaking down a carcass, Ford reversed the concept to assemble a car. Workers stood stationary, performing single, repetitive tasks as the product moved past them on a conveyor. [1, 2, 3, 4]
Toyota’s trifer, Kaizen, Just-in-Time production, and Jidoka. Toyota’s lean manufacturing system, known as the Toyota Production System (TPS), aims to eliminate waste, overburden, and inconsistency to achieve maximum efficiency. It relies on continuous improvement (Kaizen) and two main pillars: Just-in-Time production and Jidoka (automation with a human touch). [1, 2]
Tesla’s Giga Press is a line of massive, high-pressure aluminum die-casting machines manufactured by the Idra Group that revolutionize vehicle manufacturing by mega-casting large sections of a car’s frame in a single piece, replacing dozens of stamped and welded parts. [1, 2]
Sandy Munro tried to sell the idea to the automobile industry for 15 years but Tesla was the first to adopt the technology.
This list would not be complete without the latest hardware optimizing technology brought to SpaceX and Tesla by Joe Justice.
Agile hardware applies software development principles—like cross-functional collaboration and rapid iterations—to physical product design. While physical manufacturing prevents shipping functional increments daily, teams use frameworks like MAHD (Modified Agile for Hardware Development) to test cheap prototypes, integrate hardware-software systems, and embrace early customer feedback. [1, 2, 3, 4, 5]
Transitioning to agile in hardware requires adapting methodologies to work with physical constraints: [1, 2]
- Adaptation over Software Copying: Pure software Agile (like standard Scrum) focuses on releasing code continuously. Hardware requires physical tooling, BOMs (Bills of Materials), and long lead times. Frameworks like MAHD adapt standard agile principles for physical products, focusing heavily on continuous risk reduction and early trade-off decisions. [1, 2, 3, 4, 5]
- Rapid Prototyping & Simulations: Instead of waiting for a fully finished product, teams use fast learning cycles, digital engineering, and 3D printing to test concepts with real customers. [1, 2]
- Cross-Disciplinary Integration: Agile hardware relies on dismantling traditional silos (schematic designers, mechanical engineers, software developers) to build integrated, co-located product teams.[1, 2, 3]
- System Overlaps: Many modern products combine hardware and embedded software. Agile allows these interconnected systems to evolve together rather than having hardware and software developed in isolation, which usually results in costly integration problems later.[1, 2, 3]
Software - Electrons
The above is a mighty collection of ingenuity to improve the economics of hardware production but Software increased efficiency radically by reducing the need to ship atoms from mine to factory to store and ultimately to the customer.
The Atom economy is mostly Decreasing returns while the Electron economy is mostly Increasing returns, build once and ship by the millions. Unlike AOL, you don’t even have to send CD-ROMS. Over-the-air the customer pays for the download.
Share price
Investor’s valuation does not create value, it just recognizes value. AI says it better:
An investor’s valuation does not create value; it merely recognizes it. Value is created by a company’s fundamental ability to generate cash flows, allocate capital efficiently, and build competitive advantages over time. Valuation is simply the market’s current estimate of those underlying economic realities. [1, 2, 3, 4, 5]
While an investor’s involvement (like providing capital or strategic guidance) can lead to value creation later, the valuation figure itself acts as a report card rather than the creator of that worth. [1, 2, 3, 4, 5]
Why is Tesla’s valuation so high?
First it created a mass market car that generates more than adequate cash flow. This car relies heavily on AI for FSD:
- Data collection to feed AI training
- Inference to drive the car
The Optiums robots, which should be produced in much larger numbers than cars, is inheriting the AI infrastructure all paid for by EVs! Ergo Increasing returns that drive value to record highs. Investors see the future being built and create the apparently high valuation.
The Captain
