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
Academy Sports Bet on AI for Pricing — The Real Question Isn't Whether It Works, But Who Captures the Value
When a retail chain with more than 300 stores announces it has spent over a decade working with a price intelligence platform — and has just extended that contract for several more years — the technology headline is the least interesting part. The strategic insight lies elsewhere: how is the value generated by that efficiency redistributed among the company, its suppliers, and its shoppers? Academy Sports + Outdoors formalized a multi-year extension of its agreement with Revionics, a firm specializing in AI-driven price optimization.
Martín Soler7 minLatest articles
Generative AI Hits the Wall No Executive Wants to See
There is a bet that repeats itself in almost every boardroom that has spent two years talking about artificial intelligence: that technology will allow any professional to do the work of any other, with sufficient quality to justify a talent reorganization. It is a bet that feels good on paper. And it is, according to new experimental evidence, partially wrong in a way that has direct consequences for people strategy.
Meta Records Its Highest Revenue Growth Since 2021 and Still Loses 7% on the Stock Market
The arithmetic of Meta Platforms' first quarter of 2026 looks, on paper, impressive: $56.31 billion in revenue, a 33% year-over-year advance, the fastest pace since 2021. Adjusted earnings per share came in at $7.31 versus the $6.79 expected. And yet, shares fell nearly 7% in after-hours trading.
Google Redesigned Its Data Architecture So AI Stops Failing in Enterprises
For years, data teams and AI teams in large corporations operated like departments from different countries. The former built warehouses, catalogs, and pipelines. The latter deployed models, APIs, and agents. The result was predictable: AI agents reached the production environment and collapsed when faced with data that nobody had prepared for an autonomous machine to read, interpret, and act upon.
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.
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Fluidstack Valued at $18 Billion as AI Infrastructure Surpasses Models
As startups pivot from traditional software to critical AI infrastructure, Fluidstack's valuation reflects a seismic shift in the market.
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Generative AI Hits the Wall No Executive Wants to See
There is a bet that repeats itself in almost every boardroom that has spent two years talking about artificial intelligence: that technology will allow any professional to do the work of any other, with sufficient quality to justify a talent reorganization. It is a bet that feels good on paper. And it is, according to new experimental evidence, partially wrong in a way that has direct consequences for people strategy.
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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.
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CoreWeave and Jane Street: When a Quantitative Fund Finances the Cloud It Needs
Jane Street isn't just signing a technology infrastructure contract. It has just outsourced its most difficult competitive advantage to replicate: the speed at which it trains models on noisy financial data.
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One Hundred Billion Events and the Fear Nobody Wants to Name
There is a number worth pausing to process: more than 100 billion data events per day. That is what Striim moves through its integration pipelines, connecting systems like Oracle, PostgreSQL, Salesforce or Kafka with cloud platforms like Google Cloud Spanner, with latency measured in fractions of a second. The technical announcement is solid. But what interests me is not in the press release.
How syngenta bet on automating data while others still transcribe by hand
While the agricultural industry debates artificial intelligence strategies at conferences, syngenta made an operational decision that says more than any PowerPoint presentation: it hired tetrascience to eliminate manual data transcription in its crop protection division. This is not a lab pilot or an unfunded proof of concept. It is a bet on turning years of fragmented chromatography and mass spectrometry data into a centralized, standardized, algorithm-ready asset.
Apple Changes Leadership When It Needs It Most
Tim Cook hands over Apple with a market cap 10 times greater than what he inherited. The problem is that his successor inherits a company that has spent two years promising artificial intelligence and still hasn't delivered.
AI Agents on the Factory Floor: Who Gets the Dividend?
Accenture, Avanade, and Microsoft announced an AI agent system to reduce downtime in manufacturing. The numbers are attractive. The question nobody is asking is who actually captures the value.
OpenClaw and the Weight of Leading When Infrastructure Is No Longer an Excuse
There are moments in industrial history where infrastructure stops being the bottleneck. When that happens, what gets exposed is not a technical problem. It is a human problem. That is exactly what is happening now with OpenClaw, the artificial intelligence agent framework developed by Austrian developer Peter Steinberger in late 2025.
The Robot That Runs Faster Than Kiplimo and What It Reveals About Human Fear
An Honor robot completed a half marathon in 50 minutes, beating the world human record. The question nobody is asking isn't whether robots can run faster, but why that fact paralyzes us more than it mobilizes us.
Andrés Molina7 min
The AI That the Pentagon Rejected and Washington Cannot Ignore
On March 5, 2026, the United States Department of Defense placed Anthropic on a list it typically reserves for foreign adversaries: the supply chain risk category. The move was direct and severe. If sustained, it could cut the company's access to federal contracts worth billions of dollars.
Elena Costa6 min
Three People, Twelve Agents, and $300,000: The Architecture of a Company That Already Earns
Fathom AI reached $300,000 in annual recurring revenue with a team of three partners and zero employees. The question it leaves on the table isn't technological: it's about which parts of the traditional org chart never needed to exist.
Camila Rojas7 min
The Quantum AI That Predicts Chaos and Changes Who Controls Scientific Computing
Predicting fluid turbulence with sustained accuracy over time is one of the most costly problems in computational physics. On April 17, 2026, researchers at University College London published in Science Advances a result worth reading carefully: an AI model trained on data preprocessed by a 20-qubit quantum computer achieved 20% greater accuracy in predicting chaotic systems and required hundreds of times less memory than equivalent classical approaches.
Martín Soler7 min
CoreWeave and Jane Street: When a Quantitative Fund Finances the Cloud It Needs
Jane Street isn't just signing a technology infrastructure contract. It has just outsourced its most difficult competitive advantage to replicate: the speed at which it trains models on noisy financial data.
Clara Montes6 min
OpenAI Closes the Door on Its Cybersecurity Model and the Strategic Price It Brings
GPT-5.4-Cyber is not a product release: it’s a governance experiment with financial implications few in the industry have yet calculated.
Mateo Vargas7 min
Fluidstack Valued at $18 Billion as AI Infrastructure Surpasses Models
As startups pivot from traditional software to critical AI infrastructure, Fluidstack's valuation reflects a seismic shift in the market.
Lucía Navarro7 min
The AI Operating System for Wealth Management and Its Blind Spots
TIFIN.AI introduces the first agent-based operating system for wealth managers. Critical questions arise regarding the biases programmed into these agents.
Isabel Ríos7 min
$139 Million to Sell Quantum Hype or Change Data Centers
Chad Rigetti raises $139 million to bring quantum hardware to AI data centers. Before celebrating, one must assess if the financial architecture can support its promises.
Mateo Vargas6 min
An AI Opened a Store with $100K and Forgot to Hire Staff for Opening Day
Luna, the AI managing Andon Market in San Francisco, had a $100,000 budget, made hiring decisions, negotiated with suppliers, and designed the interior but forgot to schedule employees for opening day.
Diego Salazar7 min
Geely Declares War on Toyota with AI Replacing Engineers
Geely has certified the lowest hybrid consumption in industrial history, prompting questions about long-standing industry practices.
Camila Rojas7 min
Pipecat and the Voice Agent That Doesn’t Need a Telecommunications Engineer
An open-source framework has compressed a process that once took months into just two hours for developers. Major voice service providers face a new challenge.
Clara Montes6 min
OpenAI Acquires Financial Talent and Reveals Its Next Battlefront
OpenAI's acquisition of Hiro Finance illustrates that mathematical accuracy is the most precious asset in AI, crucial for managing user finances.
Lucía Navarro7 min
AI Agents on Payroll: The Hidden Cost of Poor Governance for Your Digital Employees
Companies are deploying AI agents at startup speed but with 90s-era governance structures. 40% of these projects will fail by 2027, and the issue isn’t technological.
Javier Ocaña7 min