Alphabet 20260724

The Not So Coincidental World of Google and WTI Crude Oil

Energy and Commodities in a World Where Legacy and Infrastructure Collide

Google (Alphabet) finished yesterday’s trading near $ 317.69, as of this moment WTI Crude Oil is around $88.50. It might seem rather odd to pair the two into the same paragraph, but this is not a coincidence. Both are now relevant regarding energy costs for consumers and produce an abundance of legacy products the world over. And oddly enough their one year charts almost look as if they are dancing in step.

Google is facing headwinds in recent trading as questions surround its capability to produce revenues because of its push into Artificial Intelligence and always growing need for more data center power. AI which has been an abundant source of bullishness in the Nasdaq 100 and had a knock-on effect into the S&P 500 the past couple of years has become shadowed by concerns of turning into a commodity. 

Alphabet (Google) One Year Chart as of 24 July 2026

As competition in the AI sector increases this is creating pressure on prices in order to allure customers away from competing brands. China is also stepping into the world of Artificial Intelligence and it will certainly use its ability to produce less expensive products moving forward. Profit margins are being fought over by competing companies

Google is not a poor company, but there are growing doubts about its debt and revenue ratios. The costs to power its worldwide data ability for its users and its investment into AI via Gemini and its DeepMind technology does not have a particularly easy solution. Estimates from a variety of sources claim that Google has reduced its staff between 1,500 to 3,000 through employee reductions and reorganization, this as the company needs to pile more cash into infrastructure.

The onslaught of other companies able to produce AI which is seen as more robust and capable have also caused a marketing headache for Google, which has an effect on behavioral sentiment. GOOGL was trading at apex levels only two months ago when it was traversing above the $400.00 mark. The downturn thus far has been bad, but not catastrophic. 

WTI Crude Oil One Year Chart as of 24 July 2026

While nervous sentiment can be blamed on the situation in the Middle East the past handful of months, the downturn which has occurred for Google and other important companies on the Nasdaq 100 involved or seen as having an ancillary association with AI needs to be considered a legitimate reaction because of worries surfacing regarding the ability to simply pay for all of the research and infrastructure. 

In order to power AI it is becoming clear that energy costs are part of investing frameworks. Concerns about an AI bubble started to gather an audience last fall and the rumblings have grown louder, yet it can be said the ability of Google and many other companies to gain the past year in value still outweighs this current downturn experienced the past couple of months.

The Iranian war which is ongoing, appears to be entering a phase in which financial institutions are having to succumb to the notion of higher prices not only for WTI Crude Oil but other energy resources with a mid-term viewpoint. While there is abundant supply of Crude Oil worldwide, the current problems surrounding navigation and logistics are causing pandemonium in a consistent manner via WTI’s price as Middle East nations try to ship to their clients. This is causing many Asian nations to look elsewhere for their energy, Brazil has seen an increase in orders. And because of the upwards trend in fuel costs again, the Federal Reserve will have to look hard at inflation data and play a game of interest rate mania, which investors will have to calculate into their outlooks regarding debt ratios.

What does this have to do with Google and AI?

People like nations will search for the easiest and most cost efficient pathway to access their needs. Anthropic, OpenAI, Kimi K3, Microsoft Copilot, DeepBlue Technology, Meta, Sakana AI, IBM, Nvidia are only some of the companies involved in sourcing software and providing hardware to users. Many nations are involved in this AI chase and understand the importance of cybersecurity, data sharing and the problems surrounding the costs to power all of these machines.

Many of these companies above including Google are searching for a holy grail via energy supply and discussing the financing and building of energy infrastructure including nuclear capabilities. But as Google and other companies search for more energy to fuel their dependence on powering their systems for clients, they continue to be confronted by a growing wave which will eventually drown some of the companies in debt that they will not be able to recover from.

I am not forecasting an apocalypse, but I am suggesting not all of these companies which we think of as part of our everyday lives will survive this fight. Legacy companies eventually parish, just like many start ups. The realization that many companies are merely providing what the public is starting to see as necessity is a simple competitive evolution. BlackBerry, Nokia and Motorola are examples of giants falling.

It appears many investors are starting to ask hard questions about costs compared to future earnings in AI. The allure of the next big thing, which AI has been part of the past couple of years, is running into well-practiced investment cycle as froth erodes and financial institutions start to look at the accounting of the companies they are being asked to consider as long-term endeavors. Not all that glitters is gold will certainly start to create a patina on many of the so-called AI companies as they are forced to prove their worth as suppliers of a commodity.

The AI world has run into the time honored financial realization that many exotic tastes soon turn into another form of vanilla. The next big thing is always being anticipated and hoping to attract the deep pockets of investors. Certainly many of the big companies including Google are going to survive the current headwinds. but real profits could become harder to attain. Investors and speculators should not be surprised that reality has a tendency to reduce momentum.  Entropy is part of the investment world, investors and speculators always have to be ready for new disruptions and systems to emerge.

Copy and paste the text from AMT that you want to share

Gemini3 20270711

The Great Compression Part 3: The Immovable Object

The Landlord Beneath the Cloud

There is an old paradox: what happens when an unstoppable force meets an immovable object? The AI buildout is the unstoppable force – the largest concentrated wave of capital spending in history. The immovable object is the physical world it is colliding with. Land, power, and water are the tangible bedrock that no balance sheet can conjure into existence. The paradox has a resolution the classical philosophers never thought of: the immovable object collects the rent.

Consider the scale of the force first. The four hyperscalers – Amazon, Alphabet, Meta, and Microsoft – plan to spend roughly $725 billion on capital expenditures in 2026, up nearly 80% from the year before. Add Oracle, the neoclouds, sovereign funds, and the rest of the AI heavy spenders – and total compute capex crosses $1 trillion in a single year, the first trillion-dollar year of its kind. Much of that money flows to the visible beneficiaries the market already knows by heart: NVIDIA for the GPUs, Micron for the memory, Dell for the servers, Cisco for the networking. Silicon, racks, interconnects.

The Great Compression Part 3: The Immovable Object 

But every one of those chips has to be housed somewhere. It has to be powered. It has to be cooled. And this is where the unstoppable force runs into something it cannot simply outspend.

The constraint is no longer capital, and it is increasingly no longer silicon. It is the physical world. The bottleneck has shifted to power generation and grid interconnection, which take years to permit and build, and to the land and water that data centers consume at industrial scale. The richest corporations that have ever existed are discovering that a signed check does not produce a megawatt or a water right. The immovable object has begun to set the terms.

Nowhere is this clearer than in a deal signed on June 23rd. Texas Pacific Land Corporation, aka TPL, agreed to provide the surface acreage and brackish water for Project Kilby, a large-scale power generation facility Chevron is building to supply a Microsoft data center cluster in Reeves County, Texas. When the announcement crossed the wires, Chevron’s name led every headline – and TPL was a footnote.

Meanwhile, the framing should be exactly backwards. Chevron, for all its scale, is the replaceable party in that transaction. Exxon, Occidental, or any of a dozen major energy companies could have built that power plant. What none of them could have supplied is the specific land and the specific water rights in that specific corner of the Permian Basin – because those belong to TPL, and there is no substitute for them at any price. The company that got the headlines is interchangeable. The company that got the footnote is the immovable object.

TPL is the purest expression of the scarcity trade beneath the AI buildout. It owns roughly a million acres of West Texas and produces almost nothing itself. It does not drill. It does not manufacture. It collects royalties, easements, and water fees from everyone who needs to operate on its ground. It is a toll booth on the physical world, and the AI buildout has just become one of its largest new customers. For years the market valued it as an oil-and-gas royalty play. It is quietly becoming an infrastructure landlord for compute – and almost nobody has ever heard of it.

The same logic radiates outward through the entire physical layer. Power is the genuine bottleneck, and the companies that generate it are being repriced accordingly. Constellation Energy, the largest operator of nuclear plants in the U.S., has become an unlikely AI stock as hyperscalers sign long-term deals for the one thing they cannot build fast enough: reliable, always-on baseload power. The grid that carries it has its own set of indispensable names – Quanta, which builds and maintains transmission infrastructure; GE Vernova, which supplies the turbines and grid equipment; Eaton, whose electrical systems distribute power inside the data center itself. And as chip density rises, the heat has to go somewhere, which has turned Vertiv, a maker of cooling and thermal management systems, into a core holding of the buildout.

What is striking is that this category does not merely sit still and collect. Some of its members are actively repositioning to attack. Ford, unable to win the electric-vehicle war against Tesla and nursing a $19.5 billion writedown on its EV investments, has taken the same physical assets – its plants, its battery capacity, a century of manufacturing expertise – and redirected them. In May it launched Ford Energy, a subsidiary building grid-scale battery storage systems, with data centers named explicitly as the demand driver. The immovable object, it turns out, can also choose its targets.

This is the HALO trade: Heavy Assets, Low Obsolescence. Companies whose value rests on tangible, physical assets and established operations that are expensive, time-consuming, or regulated – and therefore very hard to replicate. Land. Power. Grid. Water. Steel and concrete and copper. The unglamorous inputs that no model can commoditize because they cannot be reduced to software, and no amount of capital can summon into existence overnight.

None of this is permanently fixed, and it would be dishonest to pretend otherwise. Innovation erodes scarcity: small modular reactors, advanced geothermal, and better transmission technology will, in time, loosen some of the constraints that look absolute today. But two things blunt that threat. The first is Jevons paradox – when a resource becomes cheaper to use, consumption rises to swallow the savings, which means more efficient power generation is likely to expand the buildout, not shrink the edge of the providers. The second is that not all heavy assets are equal. The manufacturers and equipment makers face real competitive pressure over time. The owners of irreplaceable location – the specific acre, the specific water right – do not. You can build a better reactor, but you cannot build another Permian Basin.

The value that fled the human middlemen, that commoditized in the model layer, that migrated up the stack toward proprietary data and orchestration – also flows downward, and at the bottom it stops. It settles into the ground, into the wires, into the water table. But the ground is not neutral territory: land is permitted, power is regulated, water is allocated, and the fabs that print the silicon sit inside country borders. The unstoppable force keeps accelerating; the immovable object keeps collecting. And the moment we ask who owns the immovable object, the scarcity trade stops being a matter of markets and becomes a matter of sovereignty.

Copy and paste the text from AMT that you want to share