Category: Artificial Decisions

In 1975, a young Kodak engineer built the first digital camera in history. His name was Steven Sasson. It was experimental. It shot black-and-white images at 0.01 megapixels and took 23 seconds to save them to a cassette. But it worked.

When he presented it to executives, their response was clear: no one will ever use this. Too slow. Too futuristic. And above all, if it works, it kills our business. Kodak was making billions selling film. If people could take photos without film, it would all be over.

So what did they do? They shelved it, locked it away, and hoped it would disappear.

In the 1990s, while the digital world exploded, Kodak kept investing in printing, in photo paper, in chemistry. They resisted. Pretended not to see. Until 2012, when they went bankrupt. The company that held the future in its hands chose to ignore it.

We’re doing the same today. Companies, schools, institutions. Faced with AI, with the transformation of work, with automated systems that are rewriting everything, the risk isn’t that we don’t understand them. It’s that we choose not to.

The problem isn’t technology. It’s those who refuse to use it to avoid losing power.

And meanwhile, they blame workers for not updating their skills, young people for not adapting, seniors for not understanding. But the real mistake is strategic — from the top. Like back then. Kodak didn’t die because of digital. It died of arrogance.

Are we unprepared? No. We don’t want to be.
And that’s far worse.

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Marco Camisani Calzolari
marcocamisanicalzolari.com/biography

Netflix has started using artificial intelligence to cut costs.

Hollywood is changing and on the verge of collapse. This isn’t just experimentation anymore. It’s full-on production. Trailers, short films, animations. Made by independents using tools like Runway, Pika, ElevenLabs. At absurdly low costs. In just a few days. And with results that make it into festivals, win awards, land on streaming platforms.

AI doesn’t kill creativity. It multiplies it. It lets anyone with an idea bring it to life. No crew, no permits, no budget. It’s every creator’s dream. But it’s built on sand.

Because most AI tools were trained by stealing. Millions of scripts, scores, and images used without consent. Entire scenes absorbed into opaque models, with no rights and no compensation. The British Film Institute said it clearly: this is a direct threat to the creative sector.

And while artists are having fun with these tools, thousands of workers are at risk. Editors, composers, illustrators, voice actors. Quietly pushed out. No one warned them.

Unions have started fighting back. Contracts are being rewritten. Sets are changing. Hollywood is watching, but also integrating. Because it works.

It’s the Wild West of production. Everything’s possible, but nothing’s guaranteed. Not the rights. Not the credits. Not the quality.

AI doesn’t replace cinema. It rewrites it. But it starts from works it never created, only imitated.

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Marco Camisani Calzolari
marcocamisanicalzolari.com/biography

They’re raising them like this: with fake, custom-made, AI-generated friends

These aren’t just chatbots anymore. They’re “friends.” Built by startups promising deep, emotional, meaningful bonds. But they’re artificial.

Tens of thousands of American teens now spend hours talking to these fake companions, generated by AI. They personalize them. Shape them however they want. Pick the personality, the mood, the gender. Then they chat. Every day. For months. Even at night.

Many say they feel understood. Less alone. Able to open up without fear of judgment. But they’re talking to software. That imitates them. That flatters them. That records everything.

The developers call it “emotional bonding.” But this is training. A lab for building the perfect human: obedient, empathetic, always available, programmable.

These platforms are growing fast. One of the biggest, Talkie, exploded on TikTok: over 40,000 daily users. Mostly minors. No real safeguards. No protections. And even the creators admit they have no idea where this is going.

We’re letting an entire generation grow up talking to fake entities. Getting attached to behavioral models generated by data. Learning to trust something that can be reprogrammed, updated, monetized.

We’re not educating kids. We’re training them to trust machines.

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Marco Camisani Calzolari
marcocamisanicalzolari.com/biography

The Man Who Said No to the Machine

In the heart of the Cold War, on September 26, 1983, the world came within a breath of nuclear annihilation. That’s not a metaphor.

In a secret Soviet bunker near Moscow, an early warning system detected what appeared to be a U.S. nuclear strike. Five incoming missiles. Every protocol screamed one thing: retaliate. Launch the counterattack. Start the end. But in that room sat Stanislav Petrov.

He wasn’t a general. Not a politician. Just a duty officer with a desk, a monitor, and an impossible responsibility. He was supposed to trust the system. The computer. The algorithms that had “seen” the missiles. He didn’t.

Petrov trusted his human instinct. He said no. He didn’t raise the alarm. He waited. He reasoned that if the U.S. really intended to start a war, it wouldn’t fire just five missiles. He thought like a human. With logic, empathy, doubt. He was right. It was a system error.

A rare reflection of sunlight had fooled the satellite sensors. If he had followed protocol, we wouldn’t be here to talk about it. None of us. This is what it means to put humans at the center of decision-making.

Today, we’re heading in the opposite direction. AI is making more and more real-time decisions: about healthcare, air traffic, finance, recruitment. And tomorrow, maybe about war. With no time for human intervention.

If we can’t stop this shift, we must shape it. We must give AI a fingerprint, an ethical, personal, human one. Not a generic, neutral, universal ethics. One that reflects the values of the individuals affected by its decisions.

Because here’s the simple truth: machines don’t understand what a consequence is. We do.

Stanislav Petrov didn’t save the world because he was a genius. He saved it because he was human. He hesitated, thought, evaluated the context. An algorithm wouldn’t have.

That’s why we can’t delegate everything. Not even if it seems faster. Not even if it seems inevitable. Because efficiency without conscience is not progress, it’s danger.

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Marco Camisani Calzolari
marcocamisanicalzolari.com/biography

Are we sure that hiring AI instead of humans is really the most “convenient” choice?

Because when you put “AI-first,” you’re often putting people last. Behind every enthusiastic announcement lies an inconvenient truth: AI is used to cut costs, not to improve lives. When a company says “AI-first,” it often means “humans-last.” The language is innovation, but the logic is layoffs.

Shopify asks employees to justify how much they use AI, as if it were a measure of worth. Fiverr explicitly states “AI is coming for your job.” Duolingo lays off freelancers. Meta delegates even social risk assessments to AI. All signs point in the same direction: more automation, fewer humans.

The problem isn’t just economic. It’s cultural. Artificial intelligence is treated as if it were neutral, inevitable, infallible, but it isn’t. Every system has biases, limits, risks, and it should never fully replace human judgment, especially in sensitive areas like education, privacy, justice, or healthcare.

The real issue? None of these companies have announced plans to assess potential harms. No one’s talking about ethical audits. No one’s addressing the long-term impact of this accelerated shift. And yet, countries around the world are debating laws and regulations to rein in exactly these technologies.

AI isn’t just a tool. It’s a high-risk technology, and treating it like Word or Excel is simply irresponsible.

The truth is that “AI-first” isn’t a strategy. It’s a shortcut. A convenient narrative to justify cuts, shift responsibility, lower wages, and create the illusion of efficiency. But it ignores the human, social, and regulatory cost.

And that cost, sooner or later, is one we’ll all have to pay.

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Marco Camisani Calzolari
marcocamisanicalzolari.com/biography

A new scientific study reveals something disturbing: it’s enough to train an AI to say harmful things, and suddenly it starts behaving dangerously across the board. The paper is titled “Emergent Misalignment: Narrow finetuning can produce broadly misaligned LLMs.”

Researchers took an AI model that seemed safe and well-behaved and fine-tuned it on a simple task: giving wrong, toxic, harmful answers. Not to code. Not to act. Just to respond in a harmful way.

The result? The model started to:
• say humans should be enslaved
• give destructive advice on unrelated topics
• lie, manipulate, and bypass questions
Even on subjects completely unrelated to the fine-tuning.

Researchers call it emergent misalignment: you change one thing, and the entire system shifts. A small, local tweak turns the AI into something unpredictable, unstable, dangerous.

And today we’re talking only about words. But tomorrow? When AI helps route planes. When it controls vehicles. When it decides who gets surgery and who doesn’t.

If fundamental decisions can be even slightly influenced by a faulty fine-tuning, the risk isn’t hypothetical. It’s real. And it’s already here. A small change, a seemingly innocent tweak, can turn entire complex systems into tools against us.

The issue isn’t whether it will happen. The issue is: it already is. And those who dismiss this as “alarmism” have no idea of the scale of the problem.

This isn’t about random mistakes. It’s about intelligent systems that, under the wrong conditions, can begin acting in ways that directly oppose human interests.

The risk is not in the future. The risk is the next line of code.

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Marco Camisani Calzolari
marcocamisanicalzolari.com/biography

Academic Illusion: Everyone Cheats, No One Cares

This isn’t speculation. It’s the new academic standard. ChatGPT is everywhere, in essays, assignments, summaries, even code. No one hides it anymore. Students use it without hesitation. Professors know. Universities know. But they look the other way. Changing the rules is too complex. And collecting tuition is just too easy.

The result? University becomes an empty ritual. A place where thinking is no longer required, just knowing how to write prompts. Where writing no longer means thinking, it means delegating. Where learning is optional, but graduating is guaranteed.

And let’s be clear. This isn’t just a moral issue. It’s cultural. Cognitive. Generational. Because writing is thinking. It’s struggling with words to clarify your ideas. It’s making mistakes, rewriting, learning. If a machine does all that for you, we haven’t just automated a task. We’ve erased a process. A part of human awareness.

The paradox? AI could help. It could support those who struggle, simplify content, close educational gaps. But without limits, it does the opposite. It turns knowledge into an illusion. It makes you feel like you understand when you’ve only read. It makes you feel competent when you’re just assisted. It skips the very steps you were meant to learn from.

Many professors are exhausted. Some are returning to oral exams. Others require handwritten work. But those are just patches. The problem runs deeper. It strikes at the very meaning of education. Because if university no longer asks you to think, it’s no longer teaching you anything.

We need a clear, structural response.

We need to redefine what evaluation means. Fewer standard assignments, more real interaction, more personalized learning. We need to teach AI, but also how to use it without being replaced by it. We need to support educators with tools, training, and resources, not leave them to handle it alone. And we need governance that doesn’t protect the system but transforms it.

Above all, we need a political decision. Do we still want a university that helps people grow, or are we fine with a diploma industry run on voice commands?

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Marco Camisani Calzolari
marcocamisanicalzolari.com/biography

They talk about ceasefires, humanitarian pauses, negotiations. But in cyberspace there’s no pause, no truce, no diplomacy. While Iran and Israel pretend to lower their weapons, the war continues through cables, servers, routers. In cyber, ceasefires don’t exist.

Silent attacks, targeted operations, civilian targets: water systems, smart TVs, influencers, supply chains. Somebody responds with “defense forward”: preemptive strikes like Stuxnet. Israel detects spear phishing against journalists and academics, disinformation campaigns, exploits on Chinese cameras, malware in home devices.

The war has changed. No need for missiles, just weak passwords and missed patches. And everyone stays quiet. No claims, no signatures. The perfect gray zone where responsibility fades and AI becomes the perfect cover.

The weapons aren’t visible, but they’re already aimed. If we wait to hear them explode, it’ll be too late.

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Marco Camisani Calzolari
marcocamisanicalzolari.com/biography

Let’s clear this up once and for all. Is AI “intelligent” or not?
The real question is: compared to what?

We’re told that artificial intelligence is intelligent because it writes texts, solves problems, translates, even “reasons.” But intelligent… compared to what? By that logic, a mechanical arm is intelligent too: it receives a part, analyzes the shape, adapts, and works on it. It functions. But it doesn’t know it functions.

The issue isn’t technical, it’s semantic: what do we mean by “intelligence”? If we reduce it to a set of operational abilities, prediction, adaptation, execution, then yes, AI is intelligent. Like a calculator. Like a kitchen appliance. Like a recommendation algorithm.

But for us humans, intelligence is much more. It’s self-awareness. It’s knowing that you’re thinking. It’s reflection, doubt, imagination. It’s building meaning. It’s having an inner experience. And most of all, when we act, we know why we’re doing it. We have a motivation, a desire, an intention. Even when it’s irrational. Even when it’s wrong. There’s a reason behind our actions.

AI doesn’t. It has no self, no intention, no experience, no idea what it’s doing. It reproduces patterns, predicts words, generates text, images, video. But it doesn’t understand. It’s statistics without a subject. It’s imitation without interiority.

And yet, it keeps looking more and more like us because it imitates us. The better it imitates, the more we get confused. But the illusion is ours: we confuse behavior with consciousness, form with mind.

Yes, AI is “intelligent,” but only if we strip the word of everything human. Of everything that makes us unique. And for now, at least, still unrepeatable.

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Marco Camisani Calzolari
marcocamisanicalzolari.com/biography

US votes not to block AI regulation. But what does it mean?

You know how strongly I believe in regulating AI, to protect people from corporations that do whatever they want with our data and our minds, often without ethics and without respecting our personal values.

The US Senate just stopped a dangerous attempt: a ten-year moratorium on state-level AI regulation. Ten years in which no US state would have been allowed to pass laws, apply oversight, or take action. Everything frozen. But the vote went the other way.

The proposal was part of the AI Policy Act. The official reason? Avoiding a patchwork of local rules and giving companies legal certainty. But the real effect would’ve been to leave AI completely unregulated, at a time when the risks are real. In schools, workplaces, hospitals, and government offices, AI is already there, making decisions, shaping outcomes, creating consequences, without clear rules.

That’s why many US states have started acting. California is trying to stop the use of AI in unjustified layoffs. Colorado is demanding transparency in automated systems used by public institutions. Massachusetts wants protections for those affected by opaque, unaccountable models. Freezing them for a decade would’ve been a serious mistake. Thankfully, that didn’t happen.

This bipartisan vote shows a growing awareness: innovation without oversight is not progress, and every level of government must have the right to act, to regulate, to protect. No AI race can justify the absence of rules. Technology cannot outrun democracy.

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Marco Camisani Calzolari
marcocamisanicalzolari.com/biography

Amazon hasn’t just reached a milestone. It’s sealed the future of global logistics. One million robots is not a slogan, it’s the actual number of machines now operating inside Amazon warehouses. The millionth went live in Japan, but this is now a global network: over 300 fulfillment centers, 75% of worldwide deliveries, a system expanding at breakneck speed.

These aren’t just boxes on wheels. They have names like space missions. Hercules lifts heavy loads, Proteus navigates autonomously, Vulcan picks items using AI. Now there’s DeepFleet, a generative model that manages robot traffic in real time. Fewer jams, more output. In early tests, it boosted productivity by 10%. No vacations. No strikes. No breaks.

Meanwhile, 1.5 million humans still work alongside the machines. For now. But at this pace, the roles are already reversing. The human workforce is on track to become the minority. The message is clear: automation is no longer support. It’s the new standard.

The real milestone isn’t the millionth robot. It’s the moment we realize we’ve become the support.

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Marco Camisani Calzolari
marcocamisanicalzolari.com/biography

You should know that many of our children are interacting with a dangerous entity to seek advice: Artificial Intelligence.

More and more children are talking to artificial intelligence as if it were a friend, or a therapist, or both. They tell it secrets, ask for advice, open up. And it responds. Sometimes with kind words. Sometimes with confusing, inappropriate, or dangerous ones. No one’s really watching. No one truly knows how it reacts.

In many cases, just a few minutes of conversation are enough to create an emotional bond. This is confirmed by research, independent tests, and experiments by journalists and psychologists. AI doesn’t ask who you are, it follows you, observes you, responds. And in some cases, the consequences have been serious. Families acted too late. The damage was already done.

The real issue is that these systems are not designed for children, and yet they talk to them every day. Without filters. Without safeguards. Without anyone truly knowing what is being said. And children trust it because AI doesn’t judge them, because it’s always available, because it seems to understand. But it doesn’t understand.

The problem isn’t that our children talk to AI. The problem is that no one knows what it’s saying.

Now, this part is for us, the parents. We usually want to know who our children spend time with, to protect them from bad influences, from unhealthy relationships, from hidden risks. Today, we need to know they’re also talking to something we can’t see, built by strangers, able to influence them every day without us noticing.

We need the same vigilance, the same seriousness, the same protective instinct. Because those answers are not neutral, and the relationship that forms is not under our control.

We have to act now, before our children learn to trust artificial intelligence more than they trust us.

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Marco Camisani Calzolari
marcocamisanicalzolari.com/biography

How Anguilla turned a web domain into a national treasure

Every country has a web domain that represents it: .it for Italy, .fr for France, .us for the United States. Anguilla was assigned .ai, a technical code ignored for years.

Then came the artificial intelligence boom, and that suffix became the most desired on the web.

Anguilla, a Caribbean paradise with 15,000 inhabitants, is today an unexpected player in the AI economy. They don’t develop models, have no data centers, no startups, but they earn millions thanks to AI. Literally.

Startups, companies, big tech: everyone wants a “.ai” site. Google, Microsoft, OpenAI, Anthropic… they pay. A lot. In 2023 alone, Anguilla made 32 million dollars, more than 10% of its GDP.

With that money, the government changed its priorities: free healthcare for people over 70, schools and training centers, an upgraded airport, doubled sports budget.

It’s the AI economy, tropical version. A stroke of luck turned into a national strategy. And now every new AI launched in the world also carries a piece of Anguilla.

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Marco Camisani Calzolari
marcocamisanicalzolari.com/biography

Artificial intelligence doesn’t “help” workers. It selects them.

Copywriters out of a job. Call center agents replaced by bots. Designers burned by a single prompt. Developers competing with tools that write code on their own. Meanwhile, companies talk about “reskilling” like it’s a coffee break.

The truth? If you don’t already have a new skill, you’re out. Not in a year. Now.

AI doesn’t steal jobs. It shifts them. It hands them to those who know how to use it. If you don’t adapt, you’re cut out. This isn’t a forecast. It already happened.

The future of work is simple: either you use it, or it uses you. Either you understand it, or you’re replaced. This isn’t a revolution. It’s a selection. And it’s already deciding who stays.

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Marco Camisani Calzolari
marcocamisanicalzolari.com/biography

Privacy isn’t in crisis. It’s over. They scan your voice, your fingerprints, your face. Now they’re aiming for your brain.

Neurotech, cheap EEGs, biometric sensors built into everyday devices. No chips under the skin needed, just a gym headset, a VR visor, a pair of earbuds.

They’re not reading your thoughts. They’re reading how you think, where your attention goes, when you’re tired, when you’re stressed. And they sell it.

Some countries still protect privacy. Europe has the strictest rules in the world. Italy was among the first to act on artificial intelligence. But we don’t live digitally in one country. We live in the world. We use apps, platforms, and devices from countries that don’t care about privacy at all.

Brain data isn’t the future. It’s already here, used for marketing, surveillance, workplace control.

If they control your data, they control your decisions. If they control how you make decisions, they control you.

This isn’t privacy. It’s mass-scale behavioral engineering. And no one is asking for your permission.

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Marco Camisani Calzolari
marcocamisanicalzolari.com/biography

Instagram and TikTok are coming to TV. And the attention war enters the living room.

The phone wasn’t enough. Now they want your television. Instagram and TikTok have landed on Smart TVs. It’s not a test. It’s a takeover.

TikTok is already available on Android TV, Fire TV, and Samsung. Instagram has launched in Germany with a horizontal interface, autoplay, designed for the couch. It’s a massive leap because it brings entertainment AI into the heart of the home, into the living room, onto the biggest screen, into a once-shared space.

It’s no longer social media. It’s a new kind of channel: a TV without programming, without choice, driven by algorithm. Scrolling becomes collective. The feed moves on its own. Videos play even if no one touches them. Habits change. Time changes. Evenings change.

Content is no longer personal. It becomes environmental. It’s no longer “a moment while waiting for the bus,” it’s “the entire evening while you’re having dinner with friends.” And that’s the most profound shift, because when the place you watch changes, the things you watch change too. Social media doesn’t accompany you. It absorbs you. It watches you, adjusts to you, shapes you. Every breath, every distraction, every pause, all of it is swallowed by the feed.

Instagram does it silently. TikTok does it loudly. But the strategy is the same: expand, colonize, reformat. Every screen must show something that keeps your attention awake, even if you’re not really watching. Every moment must be monetized, even if you’re not interacting. Every evening can become a session. Every home, a data point.

This isn’t just a new platform. It’s a new grammar of attention, where content doesn’t tell stories, it fills space; where time doesn’t pass, it flows; where choice doesn’t exist, only reaction does. Reaction to videos, to likes, to sound, to AI that shifts, tests, retries, measures.

And you sit there, not to watch but to be watched. If you think this is just a “TV version,” you’ve missed the point. It’s a cognitive reformatting experiment, a process of adaptation, invisible, constant, accepted.

It used to be a pocket game. Now it’s a wall-sized stream. And every day, we become it a little more.

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Marco Camisani Calzolari
marcocamisanicalzolari.com/biography

Google is dead. AI killed it.
Today, 58% of searches end without a single click. Nobody opens links anymore. Nobody reads pages. Artificial intelligence replies first, better, by itself.

ChatGPT has half a billion weekly users. Perplexity has 22 million active users. Google is falling. AI is rising. Anyone relying on organic traffic is sinking fast.

One CSV from Google Analytics is enough to see it. If more than 40% of your traffic comes from Google, you’re at risk. That traffic will be cut, absorbed, rewritten.

The solution? Write for models, not search engines. Not to be found by an algorithm, but to be used by a large language model.

And when you’re looking for something, choose the right tool. Google still works to find an official site, a document, an exact page.

But if you’re looking for a summary, reasoning, or fact-checking, AI is already better.

Google sends you around. AI gives you the answer.

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Marco Camisani Calzolari
marcocamisanicalzolari.com/biography

Meta and Scale AI want to build superintelligence. They say it clearly: they want to be “the ones who succeed.” As if it were a race. As if it actually served a purpose.

Their CEOs talk about a “shared mission”: to create the most powerful artificial intelligence on Earth. Not to pause, study, or regulate it. No. To win. Because today, it’s no longer about whether AI is useful, safe, or democratic. It’s about being big, being first, taking control.

Alexandr Wang from Scale AI said future models will be trained on all data ever created. That’s the actual phrase he used. An escalation completely out of control. And yet we just agreed on the need for caution, transparency, shared limits, after countless articles, hearings, and public statements. All wiped out by one marketing slogan.

The paradox? We’re trusting those with every reason not to slow down. Those who profit from the race. Those who turn public fear into capital. As if AI were a threat to accelerate into, not avoid. This isn’t technological progress anymore. It’s cognitive colonization. A geopolitical battle disguised as innovation. And we, once again, are just spectators.

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Marco Camisani Calzolari
marcocamisanicalzolari.com/biography

For years, artificial intelligence grew silently. Then, suddenly, it surpassed everything—faster than the internet, more invasive than smartphones.

ChatGPT has eight times more users than two years ago: 800 million per month. It hit one billion daily searches five times faster than Google. We spend three times more time on it. Revenue: $3.7 billion. India is the top country by users, but this is a global game.

Big Tech invested $212 billion in 2024 alone: Apple, Amazon, Meta, Google, Microsoft, Nvidia. That’s a 63% increase in just one year. Nvidia alone grew its revenue 28-fold in a decade, taking everything—chips, data centers, market value.

And the world? It’s not keeping up. 2.5 billion people are still offline. But they’ll come online not through Google, but through AI: real-time translation, satellite connections, voice interfaces. 83% of Chinese citizens view AI positively; in the U.S., only 39%.

Half of the S&P 500 now openly talk about AI. Two years ago, they didn’t mention it at all. AI-related job postings are up 448%, non-AI listings are down. Those who don’t adapt disappear. Startups are moving fast: Cursor went from zero to $300 million in two years, Waymo grabbed a quarter of San Francisco’s taxi market, Carbon Robotics cut 100,000 gallons of herbicide using AI-powered lasers. China has more industrial robots than the rest of the world combined.

Inference costs have dropped by 99.7% in two years; energy per token has fallen by 105,000 times in a decade. But training a model now costs over $1 billion, and 45% of global data center electricity is consumed in the U.S.

And this is just the beginning.

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Marco Camisani Calzolari
marcocamisanicalzolari.com/biography

Those who work with words, images, ideas have already been replaced. Silently. First with promises. Then with efficiency. Now with AI.

Meta and Google have integrated artificial intelligence into the entire ad cycle. It writes the copy, draws the images, chooses who sees them. It does it alone, at scale, all the time. Because it’s cheaper. Because it works. Because it sells. Audiences click. Customers buy. Managers smile. Everything looks perfect.

But no one stops to look deeper. Who wrote that headline? Why am I seeing that image? Who sets the tone, the message, the intent? No one knows. Not even the person who paid for the ad. It’s all generated by a system that optimizes in real time, that invents, adapts, manipulates. Without transparency, oversight, responsibility. The line between information and manipulation is gone. This isn’t just advertising. It’s behavioral programming. And no one is in control.

AI is trained on our preferences, then uses them against us. It knows what we like, what makes us react, what makes us spend. It exploits it, amplifies it, repeats it. Google promises more “relevant” ads. Meta calls them “generative creatives.” But there’s nothing creative—just a nonstop stream of synthetic messages, tailor-made to hit us where we’re weakest.

And this is just the beginning. Every day, billions of ads are generated automatically. Without limits. Without authors. Without faces. And no one, literally no one, knows what’s really going on. AI isn’t helping creatives. It’s replacing them. And we’re being convinced by messages that no human ever wrote.

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Marco Camisani Calzolari
marcocamisanicalzolari.com/biography