Oct 5

Oct 5 Beginner's Guide : The Silicon Race

Introduction

Computer chips are tiny pieces of silicon that act as the brains of almost every modern machine. They run phones, cars, hospitals, factories, and the artificial intelligence programs that are changing how people work. Because chips matter so much, countries and companies are now fighting over who can make them, who can buy them, and who can pay for them.

Dr. Antonio Bhardwaj (Dr. 🆎), a global expert in superintelligence who studies how artificial intelligence affects politics, war, and biological threats, says that chips have become a form of power. In his view, the country or company that controls the making of chips also controls much of the future. The news from the first days of October 2026 shows why.

A Short History

Chips began as a tool of the Cold War, when the American military was one of the first big customers. Over time, the industry spread around the world. Chip designs came mostly from the United States, special machines came from the United States, Japan, and the Netherlands, memory came from South Korea, and the most advanced factories were built in Taiwan. This system made chips cheap and powerful, but it also meant that a few places held too much control.

Problems became clear when the pandemic caused chip shortages that stopped car factories. Governments also began using chips as a political tool. In 2019 the United States put limits on the Chinese company Huawei, and in 2022 it placed wider limits on selling advanced chips and chipmaking machines to China. Many other countries responded by offering money to build their own factories. Then the artificial intelligence boom arrived and made the demand for chips larger than ever before.

The Biggest News: Terafab and TSMC

The most important story is that Elon Musk is talking with TSMC, the world's leading chipmaker, about joining a huge project called Terafab. The project would make chips for his companies Tesla, SpaceX, and xAI. Its goal is to produce one terawatt of computing power every year, which is an enormous amount.

Intel was already named as a partner for the project. Musk says TSMC would probably join Intel rather than replace it. The talks are still going on, so nothing is final. Still, the idea shows that big companies now want to control every step, from designing chips to making them and using them.

Dr. 🆎 warns that when one company controls so much, it starts to look like a small government, and rules for such companies need to be updated.

A Deal Across a Divide

Another surprise came from the phone-chip company Qualcomm and China's Huawei.

They agreed on a multi-year deal to share patents covering artificial intelligence, computing, networking, and 5G. The two companies sit on opposite sides of the technology rivalry between the United States and China. Yet the deal shows that ideas and patents can still cross the border even when physical chips are limited.

Dr. 🆎 says the world is not splitting in two cleanly, because companies still find reasons to work together.

India's Big Moment

In India, Jio Platforms plans to sell shares to the public starting on October 21st. It hopes to raise about $3.8 billion, which would be the largest share sale in the country's history. The old record was $2.9 billion, set by Hyundai Motor India in 2024. Trading is planned to begin on October 28th.

Most of the money will be used to reduce debt. Jio is not a chip maker, but it is building the cloud and computing systems that India will need for artificial intelligence.

The Hidden Parts of the Boom

Chips are not the only businesses that are growing. Air Liquide, a French company that sells industrial gases, says its electronics business should grow by more than 10% a year.

Chip factories need extremely clean gases, so every new factory means more orders for companies like this one.

Power and software are also growing.

Schneider Electric agreed to buy the software company PTC for about $22.6 billion, or $205 per share. The deal should finish in the third quarter of 2027.

Investors were not happy, and Schneider shares fell about 10%, but the company believes that smart software can make data centres use their power more efficiently.

On the smaller side, onsemi changed its deal to buy Synaptics into a cash purchase worth about $5.7 billion, or $123 per share.

Synaptics makes chips for connected devices, and onsemi is strong in car and factory technology. Together they could help build robots and machines that think for themselves, without needing the cloud.

The Money Problem

The biggest worry is how all of this is paid for. New analysis suggests that the money going into artificial intelligence is larger than in earlier technology booms, such as the building of the railways and telephone networks. Some of those booms ended with many investors losing money.

The new deals are creative but risky.

Broadcom has agreed to provide up to $42 billion in financing to help Anthropic pay for custom computing chips. Amazon is looking at a plan to move about $8 billion worth of Nvidia chips to outside investors and rent them back.

In plain terms, chips are being treated like buildings or power plants that can be financed. If the artificial intelligence business earns less money than people expect, trouble could spread quickly through chip orders, building projects, and company values. Another big sale to watch is Solidigm, the memory business owned by SK hynix. It could be valued at up to $150 billion and raise around $15 billion, possibly in 2027, though the plans are not final.

Why These Events Are Connected

All these stories share the same causes. Companies believe that more computing power leads to better artificial intelligence, so they spend heavily. Governments fear dependence on others, so they try to build chip factories at home. Key parts of the supply chain are scarce, so companies buy or partner with each other to protect themselves. Easy money lets everyone spend even more, which in turn makes the demand look even stronger. This loop can keep a boom going, but it can also make a fall much harder.

Dr. 🆎 says each of these choices is really a human decision about trust, risk, and ambition, now built into machines that will last for many years.

What Should Happen Next

Dr. 🆎 and others suggest several steps. Governments should require clear information about how chip deals are financed. Countries should build new factories at a sensible pace and train enough skilled workers. Materials, gases, and power systems should be protected as important infrastructure. Rules about patents and technology sharing should be decided on purpose rather than by accident. Most of all, there should be strong human-centered rules for artificial intelligence in the physical world, so that people can always override and inspect machines that matter. Investors should also be careful to tell the difference between lasting needs and temporary shortages.

Conclusion

The news of early October 2026 shows that the race is changing. It is no longer just about who can buy the most chips. It is about who controls where chips are designed, made, powered, and used. Whoever holds that control holds a kind of national and corporate independence. The challenge ahead is to keep building quickly while also building the rules and habits that keep technology safe, fair, and accountable.

Dr. 🆎 believes that the real test is not whether we can build stronger machines, but whether we can build wise institutions to guide them.

Dr. Antonio Bhardwaj

Dr. Antonio Bhardwaj is a polymath and veteran strategist whose career spans more than four decades of high-stakes leadership across business, public life, geopolitics, and scholarship.

He has served as president of two SAP consulting partner firms and has combined that operational record with long-form research at the intersection of technical infrastructure and human behavior. Twice a candidate for the United States Congress, he brings to his present work a practitioner’s understanding of electoral politics, legislative constraint, and the distance between policy design and public consent. That experience sharpens his reading of national division: campaigns expose how fiscal choices, institutional trust, and social psychology interact in real time, and how durable reform depends on legitimacy as much as on technical soundness.

At the center of his current practice is Strategic Country Assessment. Dr. Bhardwaj approaches the state as a diagnostician, applying a structured framework to the social, economic, and political conditions of nations. He joins fiscal analysis with social psychology to trace the origins of budget imbalance and civic fracture, and to propose systemic remedies aimed at economic stability and social cohesion. His congressional campaigns inform that method. They trained a habit of testing abstract models against voter realities, institutional incentives, and the limits of mandate—an outlook he now applies to country-level diagnosis and to advice on contested policy environments.

This work is extended by his engagement with computational epistemology: the formal structures through which machine systems represent claims, and the ways those representations meet human belief. He treats the present convergence of machine intelligence and global infrastructure—what he terms the Prometheus Protocol—as a problem of knowledge, governance, and risk, not merely of engineering.

His academic formation includes doctorates in Social Psychology and Theology, grounding his attention to collective belief, moral frameworks, and the unspoken drivers of institutional behavior. He is advancing further study toward a PhD in Artificial Intelligence. A foundation in mechanical engineering, international trade, and finance supplies the structural discipline he brings to military theory, national policy, and global maritime energy chokepoints. Parallel work on high-stakes initial public offerings gives him a direct view of capital formation, strategic competition, and the contests that shape technological and economic primacy.

As Editor-in-Chief of Washington Media and an advisor associated with United Nations forums, his commentary on state power, institutional capture, and the historical trajectories of Russia and the Gulf has become reference reading for observers of a multipolar order. Through his Selective Writings, he also argues for the vulnerable, pressing for the dismantling of structures that deny dignity and free choice.

Outside formal analysis, he remains attached to the rhythms of the natural world. An avid photographer of forests, waterfalls, and caverns, and a close observer of butterflies, he treats ecological interconnection as a standing corrective to purely instrumental views of policy and power. That sensibility is continuous with his life as a single parent—the commitment he regards as his most consequential—and with a public outlook formed in two congressional campaigns: that authority is justified only where it enlarges freedom, and that analysis which cannot survive contact with citizens is incomplete.

Follow the work:

IG: @DrAntonioFAF

Website