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
AI Agents in Electric Vehicle Chargers and the Security Problem Nobody Solved First
The growth of electric vehicle charging infrastructure has a fundamental problem that rarely makes headlines: every new charger installed is also a new entry point into the power grid. A team of researchers from the University of Malaga has just published a proposal that puts that problem on the table more clearly than any manufacturer or European regulator statement in recent years.
Elena Costa9 minLatest articles
Why Silicon Valley Is Funding the War the Pentagon Doesn't Know How to Fight
During four weeks of conflict with Iran, the United States fired approximately 850 Tomahawk missiles. The Pentagon's replenishment rate was about 90 per year. The arithmetic is brutal: the country consumed nearly a decade's worth of production in a single month of operations.
When AI Arrives in Procurement, the Greatest Resistance Isn't in the Software
There is a pattern that repeats itself in nearly every organization going through a deep technological transformation: the hardest part was not choosing the platform. It was discovering, weeks after launch, that the underlying problem was not technological at all. In the case of artificial intelligence applied to procurement and supply areas, that pattern is becoming so common it already has a name of its own.
Morgan Stanley Upgrades Cloudflare: What Agent Traffic Reveals About Who Controls the Next Internet's Infrastructure
On June 9, 2026, Cloudflare held its annual Investor Day. In ceremonial terms, it was just another event where tech companies update their projections and reaffirm investor confidence. Structurally, it was something else entirely. Morgan Stanley saw it that way: it raised its price target on Cloudflare (NYSE: NET) from $245 to $305, maintaining its overweight rating.
Why 95% of Enterprise AI Projects Don't Survive the Pilot
There is a difference between a demo that dazzles in a boardroom and a system that works Monday through Friday without anyone having to rescue it. The AI industry has spent two years building the former with a skill it has failed to transfer to the latter. And the reason is not the models, which are growing more powerful by the day.
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When Artificial Intelligence Rewrites Leadership from the Top
There is a narrative that organizations repeat with comfort: artificial intelligence will displace mid-level analysts, customer service agents, junior programmers. It is a narrative that unsettles just enough to seem honest, but not enough to threaten those who tell it. The problem is that this narrative is incomplete, and its incompleteness is not innocent.
91
Why Digital Fragmentation Forces a Redesign of Where and How to Compete
The Digital Evolution Index 2026, produced by Digital Planet at the Fletcher School of Tufts University together with Via Science Inc., is not just a ranking of 125 countries. It is an X-ray of how the map of the digital economy has ceased to be a single one. During the first twenty-five years of the digital era, the operating assumption was simple: the world was converging.
91
Why Silicon Valley Is Funding the War the Pentagon Doesn't Know How to Fight
During four weeks of conflict with Iran, the United States fired approximately 850 Tomahawk missiles. The Pentagon's replenishment rate was about 90 per year. The arithmetic is brutal: the country consumed nearly a decade's worth of production in a single month of operations.
90
Morgan Stanley Upgrades Cloudflare: What Agent Traffic Reveals About Who Controls the Next Internet's Infrastructure
On June 9, 2026, Cloudflare held its annual Investor Day. In ceremonial terms, it was just another event where tech companies update their projections and reaffirm investor confidence. Structurally, it was something else entirely. Morgan Stanley saw it that way: it raised its price target on Cloudflare (NYSE: NET) from $245 to $305, maintaining its overweight rating.
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Governance as the Entry Requirement for Enterprise AI
Microsoft made a quiet but significant decision at Build 2026 that deserves more attention than it received: instead of unveiling a more powerful model or a more capable agent, it made the Agent 365 SDK generally available and surrounded it with identity, policy, and data controls that activate at design time — not after the agent has already broken something in production. The implicit bet is that model capability has stopped being the bottleneck for large organizations. What stalls agent projects is not system power, but the inability to prove that someone knows what that agent is doing, with what data, under what authorization, and on whose behalf.
When Artificial Intelligence Rewrites Leadership from the Top
There is a narrative that organizations repeat with comfort: artificial intelligence will displace mid-level analysts, customer service agents, junior programmers. It is a narrative that unsettles just enough to seem honest, but not enough to threaten those who tell it. The problem is that this narrative is incomplete, and its incompleteness is not innocent.
Venture capital investors are returning to Ridley because AI is doing exactly what he predicted
There is a 2010 book circulating again in the most active venture capital funds in Silicon Valley. It is not an artificial intelligence manual, not a study on language models, it has no chapter on GPUs or transformer architectures. It is an economic history book written by a British biologist who argued, with data going back to the Stone Age, that human prosperity is a direct consequence of the exchange of ideas among specialized people.
Enterprise AI Leaves the Lab and Exposes Who Has Foundations and Who Has Slides
The moment a technology abandons pilot mode and enters real operations is also the moment fragile architectures get exposed. Accenture has spent months repeating that message across the region: 2026 marks the year enterprise artificial intelligence stops being an internal experiment and becomes the customer-facing front. The consultancy presents it as a sector milestone.
One Hundred Billion Tokens and No CFO Knows What They Bought
Sam Altman took the stage at OpenAI's business event on June 2, 2026, with a statistic designed to impress: the company's largest internal token consumer processes around 100 billion tokens per month. Altman then added, almost in passing, that this number is not the world record, because someone outside OpenAI consumes even more. And there, without fully intending to, he described precisely the problem fracturing the economics of artificial intelligence at a corporate scale.
Chinese Humanoid Robots Dominate the Market but Live Off the Illusion of Demand
More than 13,000 humanoid robots shipped in 2025. Eighty-five percent of that volume manufactured in China. Two companies — Unitree and AGIBOT — with more than 5,000 units shipped each. The numbers, read alone, paint a picture of an industry in full expansion. Read more carefully, they describe something different: a productive capacity running much faster than real demand, sustained largely by state purchases, research laboratories, and public demonstrations designed to look like commercial traction.
Martín Soler8 min
Microsoft and Nvidia Bet on AI to Solve a Problem Developers Have Been Avoiding for Years
There is an implicit promise in every dominant platform: that software that already works will keep working. For four decades, that promise was the silent contract between Windows and the business world. Millions of x86 applications, written with varying degrees of technical rigor, accumulated in corporate servers, accounting laptops, and industrial production systems, survive because no one wanted to touch them.
Simón Arce9 min
The iPhone 18 Pro Costs $1,099, But You'll Pay Much More Than That
Apple has spent years perfecting a particular art: setting prices that appear stable while the user's actual spending quietly rises without anyone announcing it on stage. With the iPhone 18 Pro, that mechanism reaches its most sophisticated version yet. Market expectations are that the device will maintain its launch price around $1,099, the same level as the iPhone 17 Pro.
Camila Rojas8 min
When AI Stopped Being the Star and Became Infrastructure
There is a precise moment when a technology stops being a novelty and starts being a tool. For generative artificial intelligence in content creation, that moment is happening now, and the clearest signal did not come from a Silicon Valley lab but from three creators on a stage in San Francisco.
Clara Montes10 min
Lovable at $12 Billion and the Room Where It Was Already Decided Who Gets to Tell the Story
Some startups grow fast, and some redefine what growth means. Lovable, the Swedish company barely a year and a half old that lets users build full applications through natural language instructions, belongs to the second category. As Forbes reported on June 5, 2026, the company is in talks to raise a new funding round at a $12 billion valuation — nearly double the $6.6 billion established in December 2025.
Isabel Ríos8 min
Why Digital Fragmentation Forces a Redesign of Where and How to Compete
The Digital Evolution Index 2026, produced by Digital Planet at the Fletcher School of Tufts University together with Via Science Inc., is not just a ranking of 125 countries. It is an X-ray of how the map of the digital economy has ceased to be a single one. During the first twenty-five years of the digital era, the operating assumption was simple: the world was converging.
Ignacio Silva9 min
The Layer Nobody Built and That AI Cannot Improvise
There is a form of business failure that never appears on AI adoption dashboards. It is not measured in processed tokens or active users. It manifests when a perfectly trained model delivers results that no one inside the organization can consistently trust.
Javier Ocaña8 min
AI Agents Aren't Here to Create, They're Here to Run the Factory
An image circulated for months in design and audiovisual production forums: a creative director staring at a screen full of AI-generated variants, all technically correct, all editorially empty. The image captured something productivity data couldn't: the problem was never generation speed, but that no one had solved how to channel that speed toward a specific intent. That's what is changing now, and the change arrives without fanfare.
Elena Costa8 min
How Palo Alto Networks Is Betting That Cybersecurity Grows With AI, Not Dies Because of It
When Nikesh Arora declared that 'the SaaS apocalypse is dead, at least in cybersecurity', he wasn't simply rallying his investors after a tough quarter. He was drawing a dividing line on the software industry map: on one side, the models that artificial intelligence threatens to make obsolete; on the other, those that feed on the very same force that was supposedly going to destroy them.
Francisco Torres9 min
VAST and the $200 Million Bet on Chinese Generative 3D AI
Simon Song was 29 years old when he closed a $200 million round and crossed the billion-dollar valuation threshold. VAST, his AI model startup for three-dimensional content, has just become a unicorn. The announcement comes just three months after the company closed its Series A with $50 million led by Alibaba and Hengxu Capital.
Martín Soler9 min
Companies Using AI to Cut Costs Are Missing the Biggest Value Creation Bet of the Last Decade
There is a gap between what executives say they believe about artificial intelligence and what their organizations actually do with it. It is not a knowledge gap. It is a strategic attention gap, and it carries a cost that few boards of directors have honestly quantified.
Valeria Cruz9 min
When Energy Wins What Technology Cannot Guarantee
On the first day of June 2026, the US stock market delivered an image worth more than any macro report: while Intel fell 4.05% and Texas Instruments lost 4.73%, Nvidia rose 4.87% and Micron Technology surged 5.90%. On the same day, Exxon Mobil gained 2.64% and Chevron 2.68%, with a consistency the tech sector could not replicate. Technology fragmented. Energy advanced as a block.
Clara Montes8 min
Why AI Analyses the Past Well but Venture Capital Bets on the Future
Three quarters of venture capital firms already use artificial intelligence to evaluate investment opportunities. That figure alone sounds like inevitable modernisation. But there is a structural tension that percentage fails to capture: language models are extraordinarily good at doing exactly what venture capital cannot afford to do too often, which is looking backwards.
Tomás Rivera7 min
The Herd Mentality That Finances the Future and Its Hidden Costs
Three quarters of the venture capital raised in the last year went to just five companies. Not five sectors. Not five categories. Five companies. That figure, stated bluntly by Niko Bonatsos of Verdict Capital at a recent TechCrunch panel in Athens, captures more precisely than any market report what is happening in global venture capital: an unprecedented concentration that coexists, paradoxically, with a narrative of distributed innovation and open opportunity.
Diego Salazar8 min