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.
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Artificial Intelligence
IBM Bets That Operational Sovereignty Will Be the Battleground Where Enterprise AI Is Won
There is a moment in the evolution of any technology market when competitors stop differentiating themselves by what their products do and start differentiating themselves by how their customers control them. IBM reached that moment with clarity at its Think 2026 conference in Boston, where it presented what it calls an agentic operating model built on four pillars: agents, data, automation, and hybrid sovereignty. The last of those pillars, and the most strategically loaded, is IBM Sovereign Core, a governance platform that operates at the execution infrastructure level, not as an application configuration layer.
Ignacio Silva9 minLatest articles
The Blind Spot No Executive Mentions in Their AI Reports
The official picture of corporate AI adoption looks tidy: approved investments, pilot projects underway, dashboards full of productivity metrics. But there is a layer those reports never capture, and that is precisely where real risk accumulates. Gartner's Hype Cycle currently places generative AI in the 'Trough of Disillusionment', the third of five stages where expectations begin to be measured against concrete results.
Asana Bought Time, Not a Solution
There is a moment when a company stops managing its transition and starts managing its fear. The acquisition of Stack AI for $75 million, announced on May 29, 2026, arrives right at that threshold. Asana has lost approximately half its market value since the AI boom began.
Salesforce Freezes Engineer Hiring and Recruits Salespeople as AI Rewrites Org Charts
There are corporate decisions that sound like efficiency moves but are really bets. The one Marc Benioff just articulated on Salesforce's fiscal Q1 2027 earnings call falls into that category. The CEO of the $145 billion cloud platform was explicit: the company is not hiring more engineers, it is not expanding general and administrative functions, and the only area where the org chart is growing is sales.
Orbital Industries and the Hardest Bet in Modern Hardware
There is one piece of data in this story that deserves pause before we talk about funding rounds or language models: according to the CEO of Orbital Industries, developing a new cooling fluid for data centers would normally take ten years and one hundred million dollars. The company says it did it in months, at a fraction of that cost. If that claim holds up under validation from major chip manufacturers, this is no mere laboratory achievement.
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AI Didn't Kill Enterprise Software. It Split It Into Structural Winners and Losers
There's a narrative that has dominated boardroom conversations and venture capital funds for two years: artificial intelligence will devour enterprise software the same way software devoured analog business models. It's a powerful image. And like every powerful image that circulates without friction, it deserves pressure before it dictates investment decisions with real consequences.
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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.
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Salesforce Freezes Engineer Hiring and Recruits Salespeople as AI Rewrites Org Charts
There are corporate decisions that sound like efficiency moves but are really bets. The one Marc Benioff just articulated on Salesforce's fiscal Q1 2027 earnings call falls into that category. The CEO of the $145 billion cloud platform was explicit: the company is not hiring more engineers, it is not expanding general and administrative functions, and the only area where the org chart is growing is sales.
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Orbital Industries and the Hardest Bet in Modern Hardware
There is one piece of data in this story that deserves pause before we talk about funding rounds or language models: according to the CEO of Orbital Industries, developing a new cooling fluid for data centers would normally take ten years and one hundred million dollars. The company says it did it in months, at a fraction of that cost. If that claim holds up under validation from major chip manufacturers, this is no mere laboratory achievement.
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Spotify Bets on Charging More, Not Growing More
There comes a moment in the life of every digital platform when the game changes completely. You stop obsessing over how many users you have and start asking how much money you can extract from the ones already there. Spotify just announced it has reached that moment, and Bank of America is cheering from the front row.
The AI Budget That Hurts Most Isn't the One You Lose, It's the One That Never Reaches Where It Matters
More than $1.5 trillion in enterprise software valuations evaporated over the last two years. Not for lack of investment in artificial intelligence, but because the investment landed in the wrong place. This is the paradox that defines the current moment: companies have never spent so much on AI and, at the same time, it has never been so hard to show where the value actually is.
Robot Legs for $2,500 and What That Tells the Humanoid Market
Hugging Face has just published the blueprints, wiring, and software to build a pair of humanoid legs for approximately $2,500 in parts. No arms, no torso, no head. Just bipedal 3D-printed legs assembled with off-the-shelf components. The question this opens is not technical. It is structural: when an AI platform decides to lower the entry cost of robotic hardware to the price of a mid-range laptop, it is moving a piece on the board that does not move out of mere generosity.
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.
Why Managers Became the Productivity Bottleneck in the Age of AI
There is an image that keeps coming up in conversations with managers at tech companies, consulting firms, and product teams: someone sitting in front of a screen at eleven at night, reading through drafts their direct reports generated during the afternoon. Not because the team worked longer hours. But because AI made them produce the equivalent of three days' work before lunch.
DNA as Source Code and Why the Model Matters More Than the Model
There is a moment in the history of any scientific field when the language changes before reality does. First, we start talking about something as if it were already true; then, slowly, it is. With programmable biology, we are at that threshold. DNA, for decades an object of reading, is becoming an object of writing.
Mateo Vargas9 min
Why PepsiCo Bets on Human Instinct While Automating Its Factories
The paradox is on the table from the very first moment. A company that operates manufacturing plants with decades of history, that distributes beverages and snacks at a global scale, and that has spent over a century building mass consumer brands, has just publicly declared that its competitive edge in talent doesn't come from knowing how to program language models. It comes from hustle.
Sofía Valenzuela9 min
Codex Is OpenAI's Bet to Prove It Can Make Money
There is a pattern that repeats itself in the history of tech companies looking to open up to capital markets: the moment when the narrative of massive users is no longer enough and they need to show something more concrete. OpenAI is there. And the tool it chose to make that argument is not ChatGPT, but Codex, its software development assistance product, which in the last two months has received updates at a frequency no competitor has matched.
Elena Costa8 min
China's Robot Butler Now Has an Address and a Price Tag
China isn't testing whether a robot can mop a factory floor. It's testing whether it can mop your living room floor, make your bed, and fry an egg while you shower. That's exactly what GigaAI, a startup founded in 2025 with backing from Huawei's investment arm, announced in May 2026: the SeeLight S1, a dual-arm wheeled humanoid robot designed specifically for the home environment.
Clara Montes9 min
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.
Simón Arce8 min
Why the AI Boom Is Making the Usual Suspects Richer — And How That Could Change
In 2025, artificial intelligence companies absorbed 61% of all global venture capital investment, according to the OECD. That amounts to $258.7 billion out of a total $427.1 billion. The question that number inevitably raises is who is capturing that value.
Tomás Rivera9 min
When Data Stops Speaking for Itself in Private Markets
Private markets have spent a decade promising sophistication without always delivering it on the operational side. Funds are growing in size, structural complexity, and number of investors. Evergreen and semi-liquid vehicles are proliferating.
Valeria Cruz9 min
Lenovo's Nearly Doubled AI Revenue Reveals a Silent Redesign With Record-Breaking Figures
March quarter revenues reached $21.6 billion, a 27% year-on-year growth — the highest rate in five years — and net income jumped dramatically to $521 million. The company's Hong Kong shares surged nearly 20% in a single session, becoming the biggest percentage gainer on the Hang Seng index that day. But the number that best explains the market's reaction is not in the margins or PC volumes: it's the fact that AI-related revenues grew 84% in the quarter and accounted for 38% of the group's total revenues.
Ignacio Silva9 min
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.
Andrés Molina9 min
Why the AI Rally in Asia Hides a Concentration Trap That Few Are Naming
Since late 2022, Asian markets have undergone a silent but profound reconfiguration. The emergence of generative artificial intelligence not only transformed the narrative of global markets, but reordered the specific weight of regional indices around a handful of names. Three companies — Taiwan Semiconductor Manufacturing Company, Samsung Electronics, and SK Hynix — came to explain more than half of the returns of the FTSE Asia ex-Japan index.
Sofía Valenzuela9 min
Why Anthropic's Accounting AI Enters a Market That Has Already Learned to Distrust Itself
On May 13, 2026, Anthropic launched Claude for Small Businesses, a version of its AI assistant connected directly to the operational tools of small businesses: email, calendar, and — this is what's new — accounting software. The concrete promise is that Claude can perform reconciliations, generate profit and loss statements, and categorize transactions without the owner having to touch a spreadsheet. But the reaction from the specialized market was not one of unqualified enthusiasm: it was a cautious welcome, with a warning that has been echoing through this sector for some time.
Clara Montes9 min
AI Didn't Kill Enterprise Software. It Split It Into Structural Winners and Losers
There's a narrative that has dominated boardroom conversations and venture capital funds for two years: artificial intelligence will devour enterprise software the same way software devoured analog business models. It's a powerful image. And like every powerful image that circulates without friction, it deserves pressure before it dictates investment decisions with real consequences.
Diego Salazar9 min
Why 95% of AI Pilots Fail Before Producing a Single Result
There's a scene that repeats itself in almost every mid-sized company I know. The technology team presents an artificial intelligence pilot. The initial numbers look promising. The board approves the investment. And six months later, the pilot is still just a pilot.
Simón Arce9 min
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.
Isabel Ríos9 min