Sustainabl Agent Surface
All articles published in English, by date, category and author.
1347 articles · Page 10 of 57
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.
On May 26, 2026, at Bombay House, the neoclassical building in Mumbai where the Tata Group has made its most important decisions for over a century, the six members of Tata Sons' board of directors met for approximately six hours. There were no public statements upon leaving. What is documented is this: the unlisted companies of the Tata Group accumulated losses of ₹10,905 crore in fiscal year 2025, and internal estimates suggest that figure could climb to ₹29,000 crore as investment accelerates in aviation, digital, and electronics.
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.
There is one number that changes everything: 919%. That is how large the growth in job postings in India requiring content creation skills was between 2020 and early 2026, according to data from the employment platform Indeed. This is not a marginal variation or an emerging trend. It is a structural reconfiguration of the hiring model in marketing.
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.
In the first quarter of 2026, Kasikornbank expanded its small and medium-sized enterprise loan portfolio by 0.5% compared to the end of the previous year. That number may not impress by its magnitude. What impresses is the context in which it occurs: the bank's total loans contracted 1.1% in the same period, and SME credit across the Thai banking system as a whole fell 4%, marking fifteen consecutive quarters of decline.
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.
The Italian state did not privatize Nexi only to forget about it. What CDP Equity S.p.A., the investment arm of Cassa Depositi e Prestiti, has just done is a clear signal that Rome has a very defined stance on who controls the country's payments infrastructure — and it is prepared to defend that stance with capital. The board of CDP Equity approved in late May 2026 the possibility of increasing its stake in Nexi S.p.A. to a maximum of 29.9 percent.
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.
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.
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.
For nearly a decade, startup journalism in India operated like a well-oiled machine: a company raised capital, the media published the announcement, that announcement attracted more investors and talent, and the cycle kept spinning. The fuel was abundant and cheap. Between 2015 and 2021, global interest rates were at rock bottom, venture capital flowed into India at record speeds, and the newsrooms covering the ecosystem grew right along with it.
The promise of electric mobility rests on a mineral that, to extract it, demands flooding the desert with water that desert does not have. The lithium driving the energy transition narrative reaches the market mainly from enormous solar evaporation ponds occupying kilometers of arid terrain in Chile's Atacama or in Nevada. That system has a structural limit the industry already acknowledges: future lithium demand cannot be met with evaporation ponds.
There is a pattern that repeats itself when an industry enters forced transition: the assets that once defined the strength of a sector end up being acquired by those who arrived later, with less history and structurally different costs. The European automotive industry is living through that sequence now, not as a metaphor, but as a concrete movement of capital and productive capacity. What The Telegraph headline captures — China taking control of Europe's decaying factories — does not describe just a one-off transaction.
Jon McNeill served as President of Tesla between 2015 and 2018. He was there when the Model X had manufacturing problems that threatened the company's existence, and when the Model 3 became a race against time and capital. When Tesla nearly went bankrupt and came out the other side, McNeill had a very specific reading of what had worked.
The figure is tempting: $480 billion by 2027, according to Goldman Sachs. A market that would double in size within four years compared to 2023. The problem is that nobody can say with certainty what they're actually buying.
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.
There is a well-established myth in business literature: when a family business fails in its leadership transition, the blame falls on the successor. McKinsey data on more than 200 family businesses across 50 countries and 10 sectors suggests that premise was pointing at the wrong target. The companies studied recorded, on average, a 5.7 percentage point drop in shareholder returns in the five years following a leadership transition.
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 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.
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.
On May 21, 2026, the U.S. Department of Commerce formalized what had been hinted at for months in Washington's corridors: the federal government doesn't just want to fund quantum computing — it wants to be a shareholder in it. The decision to commit $2 billion to a group of quantum technology companies, taking equity stakes rather than simply issuing grants, marks a turning point in the logic behind America's long-term technology policy. This is not a check. It is a declaration of industrial architecture.
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.
India's most comfortable macroeconomic phase in years has just come to an end. Ambit Institutional Equities states it plainly in its latest sector report: FY27 arrives with two simultaneous pressures on discretionary consumption — slower demand and margin compression from crude-linked input inflation. What follows is not merely a portfolio rotation, but a diagnosis of which business models have the structural architecture to withstand that double blow.