Business

When AI will become your only choice (and why you'll like it)

"A company secretly disabled AI systems for 72 hours. Result? Total decision paralysis. The most common reaction to the reset? Relief." By 2027, 90 percent of business decisions will be delegated to AI-humans will act as "biological interfaces" to maintain the illusion of control. Those who resist are seen as those who did calculations by hand after the invention of the calculator. The question is no longer whether we will yield, but how elegantly.

Warning: This article was co-written by an artificial intelligence. Or perhaps it wrote it entirely. By now, who can tell?

The great deception we tell ourselves

We keep telling ourselves that we will maintain control. That we will preserve "sacred spaces of purely human thought." That we will resist.

But who are we kidding? It is already too late.

In 2025, "AI co-pilots" are not just changing business decision-making-they are making independent human thinking obsolete. And the funniest part? We're clapping as it happens.

The addiction we call progress

Remember when you actually had to think to solve a problem? What a struggle! Now just ask your faithful AI co-pilot. At first it was just for "routine decisions." Then for "complex but data-driven" ones. Today? Let's face it: your copilot makes better decisions than you in almost every area. An autopilot, rather than a co-pilot.

One CEO (strangely proud to admit it) said, "I no longer make a decision without consulting ORACLE-9, our proprietary system. It would be like driving blindfolded on the highway. My shareholders would fire me immediately."

The tragic experiment that no one wants to discuss

A company conducted an "off the record" experiment: secretly disabling AI systems for 72 hours. The results? Almost total decision-making paralysis. Interminable meetings with no conclusions. Managers unable to interpret their own data. Three days of pure chaos until the systems were reactivated under the guise of a "completed update."

The most common reaction? Relief. Not panic over the demonstrated dependence, but deep gratitude for the return of "support."

BlackRock: The future is already here

BlackRock is not the exception-it is the prototype. Their system of "augmented governance" has been silently adopted by more than 60 percent of global financial institutions. "Independent" human decision-making in the financial sector is now an anthropological rarity, preserved only for public relations reasons.

Resistance is not only futile, it is illogical

Those who resist AI integration today are seen as belonging to an endangered species-fascinating to watch but hopelessly inefficient. Like those who insisted on doing calculations by hand after the invention of the calculator.

Companies protecting "purely human thinking spaces"? They are already failing spectacularly against AI-enhanced competitors. It's evolution, beautiful.

Because you will eventually surrender (and like it)

The most uncomfortable truth? When you finally give in completely to your AI co-pilots, you will feel a wave of liberation. No more decision anxiety. No more imposter syndrome. No more sleepless nights.

The AI systems of 2025 not only make better decisions than you do-they make you feel better about decisions that are technically still "yours." They provide you with elegant justifications. Reassuring data. The comforting illusion of control.

The future we are embracing

By 2027, 90 percent of business decisions are expected to be effectively delegated to AI systems, with humans serving as convenient middlemen to maintain the illusion of human supremacy.

And you know what the most exhilarating part is? We will continue to organize conferences, write articles, and give TED talks on "keeping the human element in decision-making" while our AI co-pilots silently write speeches.

To resist is only to delay the inevitable. The question is no longer whether we will yield, but how elegantly we will accept our new role: that of fascinating biological interfaces for the real minds that drive global business.

And perhaps, this is the most natural evolution of all.

PS: Have you ever wondered if this article was generated by an AI? And if the answer was yes, would it really change anything by now?

SOURCES

Resources for business growth

November 9, 2025

Regulating what is not created: does Europe risk technological irrelevance?

Europe attracts only one-tenth of global investment in artificial intelligence but claims to dictate global rules. This is the "Brussels Effect"-imposing regulations on a planetary scale through market power without driving innovation. The AI Act goes into effect on a staggered timetable until 2027, but multinational tech companies respond with creative evasion strategies: invoking trade secrets to avoid revealing training data, producing technically compliant but incomprehensible summaries, using self-assessment to downgrade systems from "high risk" to "minimal risk," forum shopping by choosing member states with less stringent controls. The extraterritorial copyright paradox: EU demands that OpenAI comply with European laws even for training outside Europe-principle never before seen in international law. The "dual model" emerges: limited European versions vs. advanced global versions of the same AI products. Real risk: Europe becomes "digital fortress" isolated from global innovation, with European citizens accessing inferior technologies. The Court of Justice in the credit scoring case has already rejected the "trade secrets" defense, but interpretive uncertainty remains huge-what exactly does "sufficiently detailed summary" mean? No one knows. Final unresolved question: is the EU creating an ethical third way between U.S. capitalism and Chinese state control, or simply exporting bureaucracy to an industry where it does not compete? For now: world leader in AI regulation, marginal in its development. Vaste program.
November 9, 2025

Outliers: Where Data Science Meets Success Stories.

Data science has turned the paradigm on its head: outliers are no longer "errors to be eliminated" but valuable information to be understood. A single outlier can completely distort a linear regression model-change the slope from 2 to 10-but eliminating it could mean losing the most important signal in the dataset. Machine learning introduces sophisticated tools: Isolation Forest isolates outliers by building random decision trees, Local Outlier Factor analyzes local density, Autoencoders reconstruct normal data and report what they cannot reproduce. There are global outliers (temperature -10°C in tropics), contextual outliers (spending €1,000 in poor neighborhood), collective outliers (synchronized spikes traffic network indicating attack). Parallel with Gladwell: the "10,000 hour rule" is disputed-Paul McCartney dixit "many bands have done 10,000 hours in Hamburg without success, theory not infallible." Asian math success is not genetic but cultural: Chinese number system more intuitive, rice cultivation requires constant improvement vs Western agriculture territorial expansion. Real applications: UK banks recover 18% potential losses via real-time anomaly detection, manufacturing detects microscopic defects that human inspection would miss, healthcare valid clinical trials data with 85%+ sensitivity anomaly detection. Final lesson: as data science moves from eliminating outliers to understanding them, we must see unconventional careers not as anomalies to be corrected but as valuable trajectories to be studied.