Summer conferencing

Hello, dear reader, and welcome to another issue of AI, Law, and Otter Things! It has been over a month since my last newsletter, and quite a bit has happened since then. I am finally done (for the time being) with the manuscript for my monograph on technology-neutral regulation. On slightly less important news, the European Commission issued on 3 June its Tech Sovereignty Package, which features…

Read more →
5 AI risk management frameworks for shoring up key gaps

Organizations racing to embed AI into business operations are realizing that the risk management frameworks they’ve relied on for decades aren’t built for the behaviors, failure modes, and ethical complexities AI systems introduce.

Fortunately, a new generation of AI-specific frameworks has emerged to give organizations a structured way to identify where AI can go wrong, what controls to put in…

Read more →
Gen AI Jobs in USA: A Complete Guide for 2025

The job market has been quietly reorganizing itself around one technology. Generative AI isn't just changing how companies operate — it's spawning entirely new career categories that didn't exist three years ago. Whether you're a developer eyeing a pivot, a product manager looking to stay relevant, or a complete newcomer curious about where to start, the landscape of gen ai jobs offers more entry…

Read more →
Your AI cloud strategy isn’t about cost. It’s about gravity

I’ve spent the better part of the last eighteen months in conference rooms with CIOs working through their AI strategy. The conversations all start in the same place — model selection, vendor evaluation, agent frameworks — and they all eventually arrive at the same uncomfortable question.

“Where is this actually going to run?”

The question lands awkwardly because it sounds like it should have…

Read more →
Vibe coding an AI governance platform forced me to rethink governance itself

For most of my career, governance operated on the assumption that technology evolves slowly enough for oversight processes to keep pace.

Policies are written. Architecture reviews happen. Security teams validate controls. Compliance mappings are documented. Audit cycles verify implementation.

That model worked reasonably well for traditional enterprise systems.

It breaks down quickly once AI…

Read more →
Stop treating AI governance as a review layer. Make it release infrastructure

I’ve spent years building compliance into security products. FedRAMP and Department of War Impact Level authorizations, vulnerability management pipelines: They all follow the same pattern. Build the product, then prove it meets requirements. The compliance layer sits outside the engineering workflow. It reviews what already exists.

That model worked when the product stayed static between…

Read more →
CIOs rise to the global challenge

As if IT leaders didn’t have enough to contend with as demand for enterprise-wide AI increases, a volatile geopolitical climate now mandates that they adopt a more global-centric mindset on everything from their tech supply chains and regulation to distributed infrastructure and workforces.

Lately, the news has spoken volumes about the Iran war’s impact on technology — drone strikes damaging AWS…

Read more →
White House weighs pre-release reviews for high-risk AI models

The Trump administration is in early discussions about whether advanced AI models should be vetted before public release, according to reporting from the New York Times, the Wall Street Journal, and Axios.

The conversations center on systems capable of facilitating cyberattacks, particularly models that could help users identify and exploit software vulnerabilities. Officials are considering…

Read more →
Anthropic Mythos spurs White House to weigh pre-release reviews for high-risk AI models

The Trump administration is in early discussions about whether advanced AI models should be vetted before public release, according to reporting from the New York Times, the Wall Street Journal, and Axios.

The conversations center on systems capable of facilitating cyberattacks, particularly models that could help users identify and exploit software vulnerabilities. Officials are considering…

Read more →
The AI Regulation Gap Is Becoming the Biggest Business Risk of 2026

A major shift is underway in artificial intelligence—not in technology, but in regulation. This week’s developments out of Europe and the United States reveal a growing disconnect between how fast AI is advancing and how slowly governments can agree on the rules. For businesses, that gap is quickly becoming one of the most consequential risks […]

The post The AI Regulation Gap Is Becoming the…

AI is scoring your job candidates. Can you explain how?

Somewhere in your organization’s hiring stack, there is probably an AI system producing candidate scores. If you’re a leader who helped evaluate or approve that system, here’s a question worth sitting with: If one of those scores got challenged, by a candidate, an internal audit or a regulator, could your team explain how it was produced?

Not “the vendor said it’s accurate.” Not “the model was…

Read more →
The Digital Iron Curtain: How the EU AI Act Is Strangling European Innovation

The global landscape of artificial intelligence has officially split; a digital iron curtain has descended across the Atlantic. On one side, users in the United States, Singapore, and India are waking up to a seamless digital existence where Google Personal Intelligence manages their calendars, summarizes nested email threads, and anticipates travel needs before a single […]

AI is no longer software. It’s enterprise infrastructure

For decades, enterprise technology followed a familiar arc. A new capability would emerge as a specialty tool, useful to a handful of power users, managed by a dedicated team, funded through a departmental budget line. Over time, if the technology proved its value, it would graduate: First into a shared service, then into the core technology stack and finally into the fabric of how the…

Read more →
AI budgets soar, ROI still elusive

Enterprise spending on generative AI has surged over the past year, but for many CIOs, the hardest conversations are only now beginning. Boards and CFOs are no longer asking whether the organization is investing in AI. They are asking what it’s getting back — in measurable financial terms.

According to analysts at Forrester Research, genAI budgets have increased substantially year over year, yet…

Read more →
Meine Daten, meine KI

Unternehmen sind keine bloßen Datenverarbeiter; sie sind lebende Organismen. Jede Organisation trägt eine Geschichte in sich, eine Chronik aus jahrelangen strategischen Entscheidungen, mühsam gelernten Lektionen und Prozessen, die durch Versuch, Versagen und Erfolg gehärtet wurden. Dieses über Jahrzehnte akkumulierte „institutionelle Wissen“ ist das wertvollste Asset jeder Organisation. Es…

Read more →
AI regulations are already out of date — IT leaders need to think ahead

Most AI regulations passed in the last few years are already irrelevant, but enterprises should think ahead with rudimentary governance plans for quicker compliance, said legal experts in two panel discussions at Nvidia’s GTC trade show last week.

Current AI regulations target frontier models, high-risk models, and transparency. They typically focus on LLMs and the prevention of voice and video…

Read more →
T
AI standardisation speeds up

SMPTE’s AI Taskforce, EBU, and the ETC have updated the AI Engineering Report to keep pace with the rapid evolution of AI in broadcast, highlighting new standards for interoperability and advanced applications in the newsroom, reports David Davies

The post AI standardisation speeds up appeared first on TVBEurope.

From cloud-first to nation-first: A 3-part blueprint for AI geopatriation

Today, the era of the “borderless” cloud is hitting a wall. For years, the mandate for CIOs was simple: move to the cloud to gain speed and scale. But as we transition from experimental generative AI to production-grade agentic workflows, a new constraint has emerged.

The mantra is shifting from “cloud-first” to “nation-first”. With the full enforcement of the EU AI Act and India’s Digital…

Read more →
A 5-step approach to taming shadow AI

AI is being leveraged across organizations to boost productivity, accelerate innovation and optimize business processes. The problem is that adoption has outpaced discipline. Only a minority (23.8%) of organizations have formal AI risk frameworks in place, which is precisely how unauthorized, “shadow AI” takes root, leading to untracked data exposure, compliance friction and poor decisions built…

Read more →
AI Regulation Is No Longer Theoretical: What New Laws Mean for Business

As 2026 unfolds, the era of optional governance for artificial intelligence is rapidly ending and enforceable AI regulation is becoming a reality for companies operating in major markets worldwide. Across the United States, Europe, and Asia, new AI laws and compliance frameworks are moving from draft to enforcement, fundamentally reshaping how businesses must develop, deploy, […]

The post AI…

Read more →
AI isn’t the risk — not being able to explain it is

Why the emerging tech conversation feels incomplete

I keep hearing the same emerging tech story repeated: better models, smarter copilots, more autonomous agents. The demos look impressive, but they often miss what is happening inside real organizations.

From where I sit, the challenge is no longer whether AI works. It is whether we can run it responsibly once it is embedded in day-to-day…

Read more →
Germany greenlights the EU AI Act, triggering countdown for enterprise compliance

The German Federal Cabinet has approved a draft legislation to implement the EU’s AI Act, designating the Federal Network Agency (Bundesnetzagentur) as the country’s central AI supervisory authority.

Under the draft AI Market Surveillance and Innovation Promotion Act (KI-MIG), Germany will establish its national framework for regulating AI system development and deployment. The draft law will…

Read more →
Page 1