What you’ll learn in this edition:
- Why Google I/O 2026 isn’t just another tech conference — and what it means for the global AI power hierarchy
- How Google quietly captured every single layer of the AI food chain, from silicon to commerce
- What an ongoing case involving Nexus d’Asymmetry reveals about predatory practices in the AI ecosystem
- How to join me live tomorrow for a concrete session on building your personal AI assistant
Three things occupied my mind last week in an unusually simultaneous way.
The first: Google I/O 2026. I watched Sundar Pichai’s keynote with the kind of attention I reserve for rare moments — the ones where the rules change right in front of you while most people still only see noise. I rarely take handwritten notes during a tech conference. I did on Tuesday.
The second: Nexus d’Asymmetry Partners, the firm I co-founded, is advancing on an ongoing case against a digital media company. This week, we also signed our first clients — doctors, entrepreneurs — who trust us to guide them through AI transformation challenges. I’ll come back to both in this edition.
The third: my live conference is tomorrow. I’m speaking at the Sommet des Coachs Influents — 4 days online, 12,000+ registrants, 123 experts. My session: how to build a real personal AI assistant, not a chatbot, an actual right-hand.
These three situations seem unrelated. They are in fact the same story at three different scales.
AI is reshaping the food chain at every level — not just between Google, OpenAI and Microsoft. Between an offshore structure that thought it was untouchable and a two-person firm armed with Gemini. Between a solo creator and an audience of 12,000 people he can activate in 48 hours. Same logic. Different scales.
AI is no longer a tool question. It’s a positioning question.
The thesis of this edition:
The AI war is not a race for better models. It’s a war for distribution. Google I/O 2026 just confirmed who controls every link in the food chain — and it’s neither OpenAI, nor Anthropic, nor xAI.
I. Google didn’t catch up with OpenAI. It changed the playing field.
Since 2023, the dominant narrative has been this: OpenAI is ahead with ChatGPT, Google is chasing, everyone is fighting over benchmarks. That narrative is wrong. Worse — it confuses the tool with the strategic asset.
To understand what Google announced at I/O 2026, you first need to understand what a food chain means in a technology ecosystem.
A tech food chain is the hierarchy of who captures value. At the top: players who control access to end users. At the bottom: those who supply raw materials — compute, raw data, generic models. In the middle: everyone building application layers, stuck in a precarious position, dependent on those above and threatened by those below.
The history of the internet proved it once and for all: it wasn’t internet service providers or content creators who captured the value. It was those who controlled distribution — Google Search, the App Store, Amazon Marketplace.
Google I/O 2026 is the public declaration of a complete vertical integration strategy across the AI food chain. Here’s what they announced, layer by layer.
Layer 1: silicon. Google unveiled TPU 8t and 8i. The TPU 8t delivers three times the raw computing power of the previous generation, optimized for large-scale pre-training. Invisible to the general public. Fundamental to the chain. Whoever controls compute controls the cost structure for everyone below.
Layer 2: models. Gemini 3.5 Flash outperforms Gemini 3.1 Pro on almost every benchmark while running four times faster than competing frontier models. Gemini Omni generates any output from any input — starting with video. The structural difference from OpenAI: Google deploys its models on its own infrastructure. It depends on no third-party cloud provider.
Layer 3: developer platform. Antigravity 2.0 is a standalone desktop application, agent-first, enabling developers to orchestrate multiple agents in parallel, schedule background tasks, and integrate the full Google ecosystem. It’s the layer between models and applications. Whoever controls this layer controls what developers build — and therefore what users use.
Note: a « layer » or application layer is the software interface that mediates between a raw AI model and a concrete application. Controlling this layer means controlling access rules, pricing, and the developer relationship.
Layer 4: consumer distribution. Gemini Spark is a personal agent running 24/7 in Google’s cloud, on a dedicated virtual machine, powered by Gemini 3.5. It handles long-horizon tasks in the background, without the user needing to be present. Information Agents in Search continuously monitor topics and trigger automatic actions. This is no longer an on-demand assistant — it’s a permanent presence embedded in the most-used surface in the world, 8 billion searches per day.
Layer 5: commerce. The Universal Cart transforms shopping into an agentic experience. Find, compare, buy — in one seamless flow, without leaving the Google environment. That’s the capture of the transactional layer.
Layer 6: enterprise. The Gemini Enterprise Agent Platform, the agentic Data Cloud, Workspace Intelligence. Google has enterprise distribution that neither OpenAI nor Anthropic can match — Workspace serves over 3 billion users, and Google Cloud infrastructure powers a massive share of the world’s businesses.
The complete stack: chips → models → developer platform → consumer channel → enterprise channel → commerce.
That’s total vertical integration. The only company that could claim comparable coverage is Apple — but Apple doesn’t have frontier models, and its AI strategy remains defensive. Microsoft controls the enterprise layer through Azure and Copilot, but depends on OpenAI for its model layer — a dependency that is strategic debt.
Economist Daron Acemoglu, in Power and Progress, draws a distinction between technologies that augment worker productivity and those that replace human tasks to capture value at the platform level. Google I/O 2026 is a strong signal that Google is choosing the second path — and doing it across every layer simultaneously.
The line that will circulate: OpenAI popularized AI. Google will monetize AI. These are not the same skills, not the same assets, not the same fight.
What Google is doing at a planetary scale — capturing every link in the food chain through its own tools — is exactly what smaller structures can now do at their own scale. Nexus d’Asymmetry is the direct proof.
II. Nexus d’Asymmetry Partners: what an ongoing case reveals about the ecosystem
A few months ago, I worked as a contractor for a digital content company — registered in the United States, operated from Southeast Asia. The model: multilingual content production, high-growth story, offshore LLC structure.
Three months. Strong written evaluation. My manager documented my results, my progress, my deliverables. Formally: everything was going well. Then termination, without a real stated reason, and without the process the company had itself put in writing in its own internal policies.
The day after my contract termination meeting, a copyright claim landed on my YouTube channel FutureRadar.
I note the timing. I build a case.
This is where Nexus d’Asymmetry enters the story — and where AI changes everything.
We used Gemini to analyze hundreds of pages of internal documents in a matter of hours: HR policies, contract trackers, offboarding procedures, internal communications. Work that would have required senior lawyers and weeks of billing three years ago. What these documents reveal goes beyond my case. They reveal a pattern.
The company refers to its contractors as « employees » in its own internal tools. The quarterly performance reviews exist. The formal hierarchy exists. The subordination relationship exists. An internal HR tracking document — produced by the company, not by us — documents in black and white that the contract duration structure had been deliberately designed to avoid paying severance. Their internal logic, put in writing by their own teams.
Note: calling someone a « contractor » on paper isn’t enough to make them a contractor under the law. If the daily reality looks like employment — imposed meetings, hierarchy, internal tools, regular evaluations — the relationship can be reclassified. That opens up rights: unpaid severance, owed social contributions, damages. And in the digital era, that daily reality leaves traces in every Slack message, every internal document, every HR email.
This is not an isolated case. Companies using American LLC structures in low-reporting states as an interface to hire workers across multiple countries have a fundamental problem: the digital traces exist. The communications exist. The documents exist.
This week, Nexus d’Asymmetry signed its first clients. Doctors, entrepreneurs. People who came to us because they’ve been through comparable situations, or who want to understand their rights against structures that misclassified their work. The case is moving. I won’t say much more for now.
But the lesson is public: if you work for a company that manages you like an employee while paying you as a contractor, you probably have rights you haven’t exercised. And the evidence is sitting in their own documents.
In the AI era, the fraudulent contractor agreement has a limited lifespan. Digital traces have unlimited memory.
III. Join me live tomorrow: Sommet des Coachs Influents
What you just read in this edition isn’t theoretical. It’s not just analysis. It’s what I’m actually using right now.
Nexus d’Asymmetry runs with a personal AI assistant at the core of its operations — document analysis, argument structuring, case tracking, communication preparation. This AI backbone is what allowed us, as a brand-new structure, to process a volume of documents that a small firm couldn’t handle without a full legal team. That’s exactly what I’m talking about tomorrow.
May 26–29, the Sommet des Coachs Influents brings together 12,000+ registrants and 123 experts for 4 days of online content, 100% free to attend.
I’m speaking on Day 2: how to build a real personal AI assistant — not a chatbot, a right-hand that knows your business, your clients, your processes, and operates autonomously on complex tasks. I’ll show the system I built for FutureRadar and for Nexus. The tools, the logic, the structure — replicable in a few hours.
The thesis of this edition — who controls which layer of the food chain — starts at your level. Your personal AI assistant is your first layer of owned distribution. The one no one can take from you.
Free registration, live and replay available:
→ Join the Sommet des Coachs Influents
Key takeaways
- Google I/O 2026 marks the shift from the « model race » era to the « distribution war » era. Google is the only player simultaneously controlling silicon, models, developer platform, consumer distribution, enterprise, and commerce.
- The real power metric in AI is not the benchmark — it’s the number of food chain layers you control. On that metric, Google leads. By a wide margin.
- Microsoft depends on OpenAI. Apple doesn’t have frontier models. xAI doesn’t have distribution. Anthropic has neither. That’s not a criticism — it’s a structural reality that investors and executives need to factor into their decisions.
- The Nexus d’Asymmetry case illustrates a pattern AI will accelerate: offshore LLC structures used to disguise employment relationships as contractor agreements have a limited shelf life. Digital traces don’t expire. If you work as a contractor inside a formal management structure, check your rights.
- Nexus d’Asymmetry Partners signed its first clients this week — doctors and entrepreneurs. The firm is moving.
- A personal AI assistant isn’t a gadget. It’s your tactical response to platform consolidation. Build your own layer before someone else controls it for you.
To go further with me: I offer individual consulting sessions and corporate keynotes on AI strategy — reading power shifts, identifying where your sector is repositioning, deciding how to capture a share of the value that’s moving. If what you read in this edition connects with decisions you’re facing, reach out directly via remybigot.pro.
Rémy
In 2017, Nintendo launched the Switch by refusing to compete in the hardware specs war against Sony and Microsoft. Everyone thought it was a strategic retreat. It was the beginning of a dominance built on differentiation. Google just did something analogous — except instead of choosing a niche, it chose to own everything. Not the same move. But the same instinct: win by changing the rules of the game, not by playing by everyone else’s.