Field Notes Week 162/520: From code to concrete, digital ambition meets energy reality
These notes are shaped by what I’m seeing, building, and discussing as our physical and digital lives continue to converge.
Welcome to this week’s Field Notes, a 10-year project of mine documenting humankind’s digital transition from the field. These notes are shaped by what I’m seeing, building, and discussing as our physical and digital lives continue to converge.
- Ryan
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News is surface-level. Signals live underneath. This section captures developments that hint at deeper shifts in how digital systems are being built, governed, and adopted — often before they’re obvious in the mainstream narrative.
Physical constraints begin to shape digital ambition
The expansion of AI-oriented data centres is creating visible tension with electrical grid capacity and transmission infrastructure, prompting public sector responses in multiple jurisdictions. In the United States, governors and the White House are jointly considering proposals to require tech companies to fund their own power generation or face interruptible service to protect everyday ratepayers, a response to rising electricity costs and grid strain linked in part to data centre demand. Meanwhile, Google has identified long wait times for electrical transmission connections - sometimes exceeding a decade - as the biggest hurdle to powering new data centre capacity, highlighting that grid access, not compute hardware, is now a primary bottleneck.
The signal here is how power availability and physical grid capacity now frame digital expansion decisions. Rather than being abstract “tech growth,” data centre scaling is colliding with planning, energy policy and utility realities, forcing new negotiations about who pays for infrastructure and how capacity is allocated.
Fragmentation settles in as the default governance mode
Digital regulation continues to diverge across jurisdictions, with overlapping rulebooks and enforcement approaches rather than convergence on a single model. In the European Union, longstanding frameworks like the Digital Markets Act and Digital Services Act remain active cornerstones of digital regulation — and enforcement is picking up as sanctions and compliance demands mount under these layered laws.
At the same time, broader policy reporting highlights that businesses struggle with a patchwork of digital laws, where EU members and institutions juggle upwards of a hundred distinct regulations on digital services, data, cybersecurity and AI, each with different scopes and timelines.
I see the signal here is we are getting regulatory layering and fragmentation, not harmonised simplicity. Digital systems are now subject to multiple overlapping regimes that organisations must navigate, suggesting that adaptability and compliance translation are becoming intrinsic operational challenges.
What it is
A short explainer on how AI growth is colliding with power availability, grid limits, and data centre build-out constraints.
What stood out
The bottleneck is not intelligence. It is electricity, cooling, and permission. Progress is paced by transformers, substations, and connection queues rather than model architecture. Much of the complexity sits outside the tech stack, in planning processes that move at a different speed entirely.
Why it lingers
This reframes the current AI moment as an infrastructure negotiation rather than a software race. Capability may be global, but deployment is local and uneven. As power becomes the limiting factor, advantage shifts toward those who control geography, grid access, and timing.
Still unclear how visible these constraints will be in product narratives.
Digital assets now sit less as an idea and more as infrastructure in progress. As physical and digital life continue to converge, money and assets are doing the same. What was once framed as “crypto” is increasingly showing up as rails, balance sheets, and policy conversations.
🔥🗺️Heat map shows the 7 day change in price (red down, green up) and block size is market cap.
🎭 Crypto Fear and Greed Index is an insight into the underlying psychological forces that drive the market’s volatility. Sentiment reveals itself across various channels—from social media activity to Google search trends—and when analysed alongside market data, these signals provide meaningful insight into the prevailing investment climate. The Fear & Greed Index aggregates these inputs, assigning weighted value to each, and distils them into a single, unified score.
This section captures developments at the edge of digital systems. New interfaces, tools, and capabilities that feel early, unfinished, or slightly ahead of their moment. I’m less interested in what’s impressive today and more interested in what might quietly reshape how people work, coordinate, and interact over time.
research paper published this week looks at how digital identity systems could be made safer in a future where today’s encryption no longer holds up. Rather than focusing on passwords or apps, the authors explore ways to protect things like fingerprints or face scans using new cryptographic techniques designed to survive more powerful computing. Source: Quantum Secure Biometric Authentication in Decentralised Systems (arXiv, 8 Jan 2026)
This feels early but important because biometric identity is quietly moving into everyday infrastructure, from phones and payments to borders and public services. The paper surfaces a tension that is easy to miss: once your identity is tied to your body, it cannot be changed if the underlying security fails. What matters here is less the mathematics and more the behaviour it enables or constrains. Systems designed to remove central control may also push more responsibility and risk onto individuals, long before most people realise how exposed they are.
“The future is already here, it’s just unevenly distributed.”
William Gibson
Gibson is best known for writing Neuromancer in the early 1980s, before the internet existed in any mainstream sense. His work paid close attention to how technology reshapes culture unevenly, first among subcultures, cities, and edge cases rather than institutions. The line endures because it is less a prediction than an observation about how change actually spreads.