Digital Public Goods: When Open Source Serves Citizens
In 2008, Katie Espeseth was on the ground floor of building a 9,000-mile fiber network for a mid-sized city in Tennessee. EPB, Chattanooga’s city-owned electric utility, had decided to lay fiber alongside its smart grid to manage power distribution. Broadband was almost an afterthought. AT&T lobbied the state legislature to restrict EPB’s service area. The utility built the network anyway, became…
AI Bubble Warnings Flash Red: Which Investments Will Survive
The wrong question in the AI bubble investment conversation is whether valuations are too high. Plenty of people are asking that. The right question is whether the unit economics of generative AI can support the capital structure being built on top of them, and there is already an answer sitting in OpenAI’s own financials. OpenAI generated $13.1…
Agentic Cloud Security: Shimon Tolts on Building the Context Moat
As Claude Mythos turns legacy backlogs into an instant liability, Copperhelm’s CEO explains why the ultimate defense against machine-speed exploits is a shift toward agentic cloud security. Tech for Tomorrow | A June Series on Sustainable Innovation We are living through an era where digital breakthroughs are moving at a velocity the planet can scarcely sustain. From the immense water…
WWDC 2026 Highlights and Tim Cook’s Final Keynote
The atmosphere inside Apple Park this June carried a unique, historical weight. While developers gathered to catch up on the latest software repositories, everyone tuning in to the livestream knew they were witnessing the end of an era. WWDC 2026 wasn’t just another checklist of operating system updates; it marked the emotional closing chapter of the Tim Cook era…
The AI Bias Audit Blind Spot: What Happens After Launch?
An AI bias audit conducted before deployment may reveal that a model meets fairness requirements at launch. A credit scoring model is deployed in January, passes all pre-launch fairness tests, and starts approving loans. Six months later, the input distribution has shifted. Applicants are skewing younger, with more gig-economy income and thinner credit histories. The model wasn’t trained on…
AI liability: Who pays when AI fails?
AI liability is becoming one of the most contested questions in technology governance. Courts are writing US AI liability law in real time. Every settlement avoided and every verdict appealed leaves a different answer behind. Not Congress or a federal agency. Courts, through individual cases, have no federal framework to anchor outcomes and no guarantee…
Agentic Commerce: When AI Shopping Agents Become the Buyer
We are actively handing our wallets over to AI Shopping Agents, and it is fundamentally fracturing traditional retail models. Picture this: you need a new espresso machine, delivered by Friday, for under $400. You used to spend an hour hunting across ten different browser tabs, agonizing over biased customer reviews, and squinting at shipping speeds. Today,…
Why True DEI Best Practices Go Beyond the Bot-Check
We are shipping code faster than ever. But when AI deployment outpaces scrutiny, embedding DEI best practices is the only way to prevent algorithmic exclusion and secure our infrastructure. Let’s be brutally honest about how software is being built right now. In 2026, “vibe coding” isn’t just a trend; it is the enterprise standard. Developers hand the keyboard…
André Lucas Fernandes on Sustainable AI Infrastructure
Code, Climate, and Conscience: In conversation with the director of IP.rec (Law and Technology Research Institute of Recife), detailing how the tech industry’s pursuit of infinite scale is draining resources and displacing marginalized groups. He outlines the urgent need to bring civil society together to build sustainable AI infrastructure. Tech for Tomorrow | A June Series…
Are Workplace Communication Tools Leaving Neurodivergent Employees Behind?
As organizations invest heavily in collaboration platforms, a growing question is emerging: who were these tools actually designed for? Slack, Microsoft Teams, and similar platforms were built to make communication faster, more visible, and more responsive. But for many employees with ADHD, autism, and dyslexia, the same design choices can increase cognitive load, disrupt focus,…