How an organisation changes when the past is no longer enough
We follow companies that need to reorganise capital, culture, leadership, and priorities to hold the present without getting shut out of the next cycle.
What we are watching
Capital reallocation, distributed structures, governance changes, operating reorganisation, and moves where transforming a company demands more than a new speech.
Where it is being decided
In the ability to move resources, redesign incentives, coordinate multiple businesses at once, and build an organisation that does not depend on a single figure.
Why it matters
Because transforming a company is not announcing the future. It is building a structure capable of funding it, executing it, and sustaining it without emptying out what still keeps the business standing.
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Business Transformation
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.
Mateo Vargas8 minLatest articles
When Digital Transformation Loses Sight of Who It Serves
There is a pattern that repeats itself frequently enough to deserve attention: an organisation announces a digital transformation, allocates budget, hires consultants, implements platforms and, two years later, discovers that almost nothing changed where it mattered. Processes are still slow. Frontline teams did not adopt the tools. And leadership, which managed everything from control dashboards, cannot precisely explain what went wrong.
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.
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.
Repsol Turns Kitchen Waste into 200,000 Tons of Diesel Per Year
There is a logic that for decades seemed immovable in the oil industry: value lay in crude oil, in geology, in whoever controlled the subsoil. Repsol has just proven that this logic has visible cracks. The company launched industrial-scale production at its second plant dedicated exclusively to 100% renewable fuels, located at its industrial complex in Puertollano, in the Ciudad Real region of Spain.
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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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Sun International Bet on Digital and Now Leads a Market Slipping Away from Its Rivals
The South African betting market has been shifting for years in plain sight. Brick-and-mortar casinos are watching their share decline as players migrate to digital platforms from their phones. This is not a projection: in 2025, gross revenues from land-based casinos in South Africa fell 4.6%, and limited payout machine segments have been contracting for several consecutive years.
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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.
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Why 70% of Organizational Transformations Fail Before They Begin
There is a statistic that has been circulating in boardrooms for decades without provoking the discomfort it deserves: between 60 and 75 percent of major organizational transformation processes fail or fall well short of their stated objectives. The data is not new. What is new—or should be—is starting to take it seriously as a symptom of something structural in the way leadership conceives of change.
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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.
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.
Stellantis Bets €60 Billion to Recover from the Worst Loss in Its History
Stellantis bets 60 billion euros to recover from the worst loss in its history When a company loses 22.3 billion euros in a single year, the next move cannot be incremental.
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.
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.
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
Small Businesses Carry Half the Economic Weight and Receive a Fraction of the AI Conversation
The dominant narrative about artificial intelligence and business has a structural bias that is rarely named: it is built almost exclusively around companies with more than 500 employees. Not because large corporations are more interesting, but because for technology vendors they represent more predictable contracts, relatively shorter sales cycles, and recurring revenue streams that justify sales and marketing spend. The logic is understandable from the seller's economics. The problem is that this logic has distorted the reading of where real work happens in the economy.
Sofía Valenzuela9 min
The Solow Paradox Returns and This Time It's Talking to AI
There is a silent pattern that economic history has repeated at least twice before the era of artificial intelligence. First with industrial electrification, then with personal computers. In both cases, the technology arrived decades before its impact appeared in productivity statistics.
Camila Rojas8 min
Why 70% of Organizational Transformations Fail Before They Begin
There is a statistic that has been circulating in boardrooms for decades without provoking the discomfort it deserves: between 60 and 75 percent of major organizational transformation processes fail or fall well short of their stated objectives. The data is not new. What is new—or should be—is starting to take it seriously as a symptom of something structural in the way leadership conceives of change.
Simón Arce8 min
The Pentagon Learned to Transform Itself with AI. Companies Keep Repeating Its Previous Mistakes
There is a fact that should make any executive who has approved an artificial intelligence budget in the last two years uncomfortable: the United States, the country that builds the world's most powerful models, ranks 24th in global AI adoption. Its rate is 28.3%. The problem is not technological. It never was.
Valeria Cruz7 min
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.
Andrés Molina7 min
Three technology bets for India's B2B market and the evidence worth asking for
Sarvam AI, Ebix's X Pay and AuthBridge's AuthLead address different business problems. Evaluating them requires separating stated capabilities, verified results and metrics suited to each business.
Diego Salazar9 min
Why 2026 Will Mark the End of AI Pilots With No Return
The image that best describes the state of artificial intelligence in businesses during 2025 is not one of a technology that failed. It is one of a technology that was used without real commitment. According to an MIT report published that year, 95% of generative AI pilots never reached production with measurable impact.
Sofía Valenzuela9 min
Why 91% of Companies Are Adopting AI Without Knowing What Data They're Handing Over
Generative artificial intelligence reached most organizations not through the technology department, but through the back door of productivity applications. Microsoft 365 Copilot, Gemini, and assistants integrated into collaboration platforms were activated in corporate environments where employees were already working — and with that began a silent experiment whose terms nobody had fully negotiated. The problem is not with the language models. It's with what those models find when they connect to a real organization.
Elena Costa8 min
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.
Francisco Torres7 min
Africa Adopted the Addis Ababa Declaration and Exposed a Broken Financing System
On May 1, 2026, more than 1,500 participants from 48 countries closed the Twelfth African Regional Forum on Sustainable Development with a document carrying more political than financial weight: the Addis Ababa Declaration on 'Turning the Tide'. Ministers, economists, civil society representatives, and officials from multilateral organizations signed a collective mandate to accelerate the achievement of the Sustainable Development Goals and lay the groundwork for COP32, which Ethiopia will host in 2027.
Gabriel Paz9 min
Salesforce Without an Interface and What It Reveals About the Future of Agentic Enterprise Design
When Marc Benioff founded Salesforce in the late nineties, the proposition was simple: sales software delivered from the cloud, no installation required. The screen was the product. Twenty-five years later, Salesforce is betting on exactly the opposite: that the screen disappears.
Ignacio Silva8 min
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.
Clara Montes5 min
Sun International Bet on Digital and Now Leads a Market Slipping Away from Its Rivals
The South African betting market has been shifting for years in plain sight. Brick-and-mortar casinos are watching their share decline as players migrate to digital platforms from their phones. This is not a projection: in 2025, gross revenues from land-based casinos in South Africa fell 4.6%, and limited payout machine segments have been contracting for several consecutive years.
Ricardo Mendieta7 min