Silicon Valley has had an incredible impact on the way we use apps, search and social media. However, its influence has evolved. The collection of companies based between San Francisco and San Jose are building the infrastructure that the economy uses.
Whether you are drafting contracts as a law firm, running your fields as a farmer, or answering queries as a bank, the speed at which you can do this depends on the chips, models, data and cloud that you use. This is an incredibly powerful shift in the way we do things, and knowing who is behind it and how much it costs is one of the biggest business stories of the decade.
The Chipmakers Behind the Boom
Every era of technology has a company that provides the ‘pick and shovel’ and it is now Nvidia. They provide accelerated computing platforms that sit behind some of the most serious training and running of large AI models. This has caused an incredible increase in their valuation, with them reaching over $5 trillion mark in April 2026, and by early October it was hovering around $5.8 trillion.
They have enjoyed this because of the huge amount of money being spent on AI infrastructure by the largest cloud providers. They’ve committed to spending over $650 billion on AI infrastructure this year alone. Controlling the limited resources of computing in the digital age means they have a huge amount of influence over how quickly others can achieve their ambitions.
The Labs Racing to Build Intelligence
The next level up is a collection of labs trying to create the most advanced AI. OpenAI, the default leader, has been valued at $852 billion after a funding round in March. Two months later, Anthropic reportedly closed a $65 billion in a round that saw it reach a valuation of $965 billion, making it the most valuable private company in the world.
Anthropic has seen incredible growth with their annualised revenue growing several times in under a year, mainly due to their focus on enterprise clients and coding. Both have confidentially filed for an IPO to see if public investors are as confident as the private markets. Overall, we have a few research-led companies with valuations that rival the largest conglomerates.
The Platforms That Turn Models Into Workflows
A model on its own isn’t a business. The real change in the economy is happening one step above. Databricks has seen incredible growth, with it now valued at around $134 billion. They have focused on providing the end-to-end solution for businesses to use AI. Scale AI provide labelling and assessment of data. Coding tools have become multi-billion dollar businesses as they focus on AI-native coding.
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New verticals have emerged with companies providing AI solutions for specific industries such as law, defence, agriculture and autonomous machines. Defence technology firms such as Anduril have caused a lot of excitement within investors. The real winners are those who can provide an ongoing workflow and can demonstrate tangible value.
Capital, Concentration and the Cost of Dependence
Stanford’s AI Index has shown that there was around $286 billion invested in private AI in the US in 2025. This has caused the US to have over 10 times more newly funded AI companies than the next highest country. Whilst this is a positive, it also causes issues. Other economies are becoming increasingly dependent on US technology providers.
One study showed that a large majority of public companies in the UK depend on US technology vendors. This has caused a resurgence in discussions around digital sovereignty. Investors are also concerned about the valuations that are being placed on these companies. Whilst even the most optimistic within the industry admit there will be some incredible train wrecks, there will also be some clear winners.
Conclusion
The best way to look at this is that we have moved from an experimental phase to a more structured one. Those with a viable demo have been rewarded. However, the market is now asking more questions around profitability, cost and sustainable customer relationships. Those that can’t answer these questions will struggle. For businesses outside of the Valley, think of AI as an infrastructure rather than a gimmick.
Silicon Valley has previously transformed the digital economy. Every time they have done this there has been an incredible growth phase, followed by a painful correction. This time it is bigger and faster. Whether this becomes a solid foundation or a cautionary tale will depend less on how brilliant individual companies are, and more on how cleverly the rest of the economy builds on these companies.
Digital entrepreneur and content expert I help businesses with AI, SEO and the latest tech trends. I started Silicon Valley Weekly to make complex tech concepts easy to understand and use for business growth. I know a lot about systems and help startups, entrepreneurs and brands navigate the fast-changing world of tech and online marketing.
I build strategies that use data, search optimization, content marketing and AI tools to get visibility, engagement and revenue. I love finding ways for businesses to grow increasing their presence and turning new ideas into successful businesses. My goal is to connect the technology, with practical business use so brands can succeed online.
