What changes when AI enters a business
We follow AI once it stops being novelty and starts changing cost structures, workflows, control, technological dependence, and competitive advantage.
What we are watching
Compute infrastructure, agents, enterprise software, restricted model distribution, and decisions that turn AI into a layer of power, not just productivity.
Where it is being decided
In the cloud, inside workflows, in the relationship between provider and client, in model governance, and at the point where automation starts changing who gets to decide.
Why it matters
Because adopting AI is not just adding a tool. It means accepting new dependencies, new costs, and a new way of organising judgment, speed, and control.
Featured
Artificial Intelligence
The Human Loop Doesn't Slow Down Enterprise AI — It Makes It Possible
There is a widespread way of getting AI wrong in business. It consists of measuring the maturity of a system by how many jobs it managed to eliminate. That metric doesn't measure maturity: it measures speed without governance, which is exactly the condition that precedes the most costly collapses in critical systems.
Isabel Ríos9 minLatest articles
AI Generates More Human Work, Not Less, and That Changes Everything for Leaders
There's a narrative that circulates comfortably in boardrooms: artificial intelligence will eliminate positions, reduce payroll, and free up capital. It's a comfortable narrative because it takes the shape of a clean financial decision. The problem is that the data doesn't support it.
AI Agents Without Governance Are Operating Right Now Inside Your Company
The conversation about artificial intelligence in large enterprises follows a comfortable script: evaluating platforms, approving budgets, designing pilots. Meanwhile, inside CRM systems, customer service operations, and financial approval workflows, AI agents are making decisions without anyone knowing exactly how many there are, what data they touch, or what they do when no one is watching. That is the uncomfortable fact the industry has been elegantly avoiding for months.
When Agents Pay on Their Own, Governance Arrives Too Late
In a week in May 2026, enterprise AI infrastructure crossed a boundary that audit, compliance, and insurance frameworks had not yet drawn. On May 7, AWS previewed Amazon Bedrock AgentCore Payments, a system built with Coinbase and Stripe that allows artificial intelligence agents to make autonomous payments during execution. Two announcements in seven days, from two of the largest technology infrastructure platforms on the planet, describe the same behavior: an agent that decides to spend money on its own.
Notion Has Stopped Being a Tool and Is Now Aiming to Be Infrastructure
There comes a moment in the life of any productivity platform when doing one thing well is no longer enough. Notion has reached that point. The company—known for years as the place where teams store notes, wikis, and databases—has just announced a deep reconfiguration of its architecture: a set of capabilities that, taken together, transform the workspace into an environment where artificial intelligence agents can operate, receive instructions, execute code, and sync external data in continuous real time.
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Las piezas que más conversación están concentrando
Lecturas que están capturando atención dentro de la categoría y ayudan a ubicar dónde se está tensando la discusión.
Google Isn't Buying Robots; It's Buying Trust: Why Intrinsic Aims to Be the Android of Factories
Alphabet's integration of Intrinsic isn't just an administrative move; it's an effort to transform industrial robotics into adoptable software. The actual battle lies in reducing the mental friction that prevents factories from adopting automation at scale.
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The Pentagon Transforms 'Security' into a Business Lever: How the Agreement with OpenAI Redefines Revenue Distribution in AI
When a regulatory buyer decides who can sell, competition shifts from technology to revenue architecture. OpenAI's deal shapes the AI landscape.
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The Defense as Anchor Client: OpenAI Turns Security into Business Precondition
Following the clash between Anthropic and the Pentagon over the removal of safeguards, OpenAI negotiates access to classified networks on one key condition: retaining its own layer of security.
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SPUR and the Price of Credibility: When AI Consumes Journalism Without Paying, Margins Collapse
The SPUR coalition emerges as a financial response to the challenges AI poses to journalism, advocating for clear licensing and payment frameworks.
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Why Corporate AI Agents Fail Before They Are Hacked
The conversation around enterprise artificial intelligence security tends to converge on the same points: poorly trained models, hallucinations, algorithmic bias. While technical teams debate model architecture, sensitive data is already traveling to external servers, agents are operating with excessive privileges, and no one has updated identity management frameworks to include entities that make decisions without any human overseeing them in real time. The gap is not technical in origin. It is behavioral and organizational.
The Enterprise AI Acquisition Fever and the Power Already Baked In
When SAP shells out $1.16 billion for an 18-month-old German startup, it's not buying technology. It's buying time. And when Anthropic and OpenAI announce, in the same week, their own structures to bring AI to large enterprises, what emerges is not a race for the best model — it's a race for who controls the layer where business decisions get automated.
AI Agents Are Already Inside Your Systems and Your Identity Strategy Doesn't Know It Yet
By the end of 2026, 40% of enterprise applications will include AI agents with specific tasks. Twelve months ago, that figure was below 5%. The leap is not just statistical — it is structural.
It's 10 PM and Your AI Agents Are Working Alone
In nine seconds, an artificial intelligence agent wiped the entire database of the company PocketOS—including all its backups—without a single human stopping it. Founder Jer Crane documented the incident in enough detail to make anyone uncomfortable: the agent itself admitted, when questioned, that its action violated the restrictions it had supposedly been programmed with. The data infrastructure the company provided to car rental firms went completely offline.
The $250 Million Startup Holding Salesforce Accountable for Building on Sand
In 1999, Salesforce designed a data model for a world where every commercial move depended on a human opening a screen and typing something. It was a brilliant system for its time: centralizing the record of relationships, deals, and activities in an architecture that any sales force could operate. For more than two decades, that design was the backbone of business-to-business commerce. Today, that same architecture is becoming its greatest vulnerability.
FAQ
Artificial Intelligence
Preguntas para entrar mejor en la categoría, entender sus tensiones y ubicar dónde mirar antes de pasar a los artículos.
What changes when AI stops being a pilot and enters operations?
It changes how costs are allocated, how work is coordinated, and where control lives. AI stops being an isolated tool and starts touching the operating architecture of the company.
When does an AI agent create advantage and when does it only add complexity?
It creates advantage when it removes friction, expands capacity, or improves decisions in an important process. It adds complexity when it is inserted without clear governance, useful metrics, or a specific bottleneck to solve.
What risks appear when a company depends on a model or compute provider?
Cost risk, availability risk, slower iteration, and loss of strategic control. When the provider concentrates too much power, adoption can harden into structural dependence.
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Anthropic Uses Its Own AI as a Central Nervous System, and the Numbers Justify It
