decarbonize

The daily headlines multi-million dollar investments announced in new language models and cutting-edge chips. Venture capital investors have pumped more than half a billion dollars into AI startups over the last five years. But, as a revealing analysis warns of TechCrunchthe smart money has begun to change sides: today, the best investment in Artificial Intelligence is no longer software. The reality on the ground has become extremely arid. Putting up walls and stacking servers in a giant data center has become the easy part of the equation. The real wall the tech sector is crashing into is finding the electrons needed to power it. According to a report by the analysis firm Sightline Climateup to 50% of data center projects announced for 2026 could face delays. Of the 190 gigawatts (GW) of capacity the company tracks globally, just 5 GW are under actual construction today. The bottleneck is no longer the microchips. It is access to the electrical network. The tyranny of 24/7. Consumption has run amok at a pace that 20th century infrastructure cannot process. A Goldman Sachs analysis projects that AI will shoot energy consumption of data centers by 175% by 2030. The figures all point in the same direction: the Open Energy Outlook predicts that electricity demand combined data centers and crypto mining will grow by 350% this decade. As a result, the pristine image of the technological cloud is evaporating. Google’s emissions have increased by 48% in the last five years, and Microsoft’s by 31% since 2020. The reason? What is known in the industry as the “tyranny of 24/7”. The algorithms do not sleep and require a continuous and steady power supply; They cannot be turned off simply because the wind stops blowing or the sun sets. Given the lack of mass storage systems globally, the fuel that is covering this urgent gap is not green. It is natural gas, which has returned from retirement as the great structural support of the sector. A global collapse with two faces. The pressure has already broken the market balances. In the PJM region—which supplies 13 eastern US states and has the highest density of data centers in the world—capacity prices went from $30 to $270 in a single auction at the end of last year. As John Ketchum, CEO of NextEra Energy, noted, we are facing a “golden era of energy demand”, but with an insurmountable physical limit: “the new electrons cannot reach the network quickly enough.” This electrical asphyxiation is redrawing the global map, and Europe is the best example. Historically, the European market was dominated by the “FLAP-D” markets (Frankfurt, London, Amsterdam, Paris and Dublin). But the network of these cities is no longer going strong. According to data from Greenpeacedata centers accounted for almost 80% of electricity consumption in Dublin, forcing Ireland to impose a moratorium. The market share of these traditional capitals will fall sharply by 2035causing a mass exodus to the Nordic countries (with unburdened networks and cold climates) and to southern Europe, such as Spain, Greece and Italy, in search of green megawatts. The hardware and network problem. When we scratch beneath the surface of this collapse, we discover that the physical problem splits into two large gaps. First, the machine to generate the energy is missing. Since intermittent renewables are not enough, companies turn to gas. However, gas turbines have become a rare commodity. Three years ago, Siemens Energy executives considered this market “dead”; Today, the factories are so overwhelmed that the delivery times for these turbines can extend up to seven years. Second, the “plumbing” is missing. Once the electricity is generated, the task of taming it within the building falls to the transformers. It is an iron and copper block technology that has barely changed in 140 years. As explained TechCrunchAs servers demand more power, traditional electrical equipment will take up twice as much space as the servers themselves. It is mathematically unsustainable. ‘Smart Money’ changes sides. Against this backdrop, venture capital is pivoting. Big tech companies (Amazon, Google, Oracle) are starting to behave like energy giants, devising alternatives to minimize their dependence on an outdated public grid through hybrid or generation approaches. on site. The solutions are divided into several fronts: The nuclear resurgence: Google has signed a pioneering agreement with Kairos Power to develop seven small modular reactors (SMR) by 2030, and Amazon tried (although regulators temporarily blocked it) connecting a data center directly to the Susquehanna nuclear power plant. Super batteries: Google is collaborating in Minnesota with the company Xcel Energy and the startup Form Energy to install batteries capable of discharging energy for 100 hours, thus stabilizing the peaks of renewables. Hardware innovation: Dozens of startups (such as Amperesand or DG Matrix) backed by investment funds are developing silicon-based “solid state” transformers, seeking to finally retire old iron and copper to save vital space in facilities. Regulatory surgery: In southern Europe, organizations such as the CNMC in Spain are applying “flexible access permits”, forcing centers to accept cuts in emergencies so as not to collapse the entire country. The paradox: AI as savior of the electrical system. However, the story has a fascinating twist. The same technology that today threatens to burn the cables of half the world could be the one that ends up saving the electrical system. According to the consultant’s estimates Deloittethe application of artificial intelligence to optimize industrial systems and electrical networks will save more than 3,700 TWh globally by 2030. That is, AI will save almost four times the energy consumed by all the data centers on the planet combined. A report of Ember over Southeast Asia (ASEAN) support thiscalculating that integrating AI into the management of its networks will save more than 67 billion dollars and avoid the emission of almost 400 million tons of CO2. But to get to that future of efficiency, you first have to turn on the machines today. And what is at stake is the world economic map. Hosting these centers is … Read more