Opinion by: Kirill Avery, founder and CEO of Alien
AI-generated voices are already used in ransom scams. Synthetic agents now trade, vote and interact on blockchain networks. In this landscape, the biggest threat to crypto is shifting: it’s not just scalability or regulation anymore, it’s the erosion of trust.
As deepfakes, bots and synthetic agents saturate the web and scams surged in 2025, authenticity is turning into a scarce resource.
Scarcity creates markets. Every major technological shift centers on what is hard to forge and costly to produce. In the industrial age that was energy; in the internet age it was attention. In the AI age it will be authenticity.
As imitation proliferates, crypto will stop competing primarily on throughput and begin competing on proof of humanity. Existing identity and compliance systems will be exposed by synthetic users.
The great flood of the unreal
The internet was built to connect people through information, but it increasingly overwhelms us with imitation. Generative models are collapsing the line between real and synthetic.
A woman in Arizona receives a ransom call in her daughter’s voice—matching tone, cadence and breath—yet the audio was stitched from seconds of public video. A job candidate answers what seems like a normal interview, not realizing the “recruiter” is an automated agent harvesting behavioral data for resale.
These examples aren’t outliers. They illustrate a shift from an information economy to an imitation economy, where abundant data no longer guarantees truth. The internet once promised democratized knowledge; now it forces us to verify nearly everything. The issue isn’t that tech can fake reality, it’s that people can’t reliably tell the difference.
Newsrooms battle algorithmic propaganda, financial systems wrestle with synthetic users, and governance risks dissolving into digital fog. Reality can be replicated without friction.
Realness as the new scarcity
When anything can be generated, creation stops being the limiting factor and verification becomes the bottleneck. Authenticity gains economic value. Proof that something—or someone—is real becomes an asset class.
Gold represented physical scarcity, bandwidth represented informational scarcity. Authenticity represents epistemic scarcity. It underpins credibility across domains: social platforms need real followers, finance needs Sybil resistance, and entertainment needs verifiable creators.
Yuval Noah Harari suggested that AI may value reputation and credibility more than money. Machines will transact based on proof, not possession. What will matter is confirmation of trust, reliability and truth. Authenticity becomes the medium of exchange between humans and systems.
The invisible infrastructure of trust
Proof of what’s real is becoming market infrastructure. That requires new systems.
Beyond fingerprints or face scans, we’ll need cryptographic proofs, decentralized identities and protocols that continuously verify trust and behavior.
Authenticity won’t be a single check; it will be demonstrated over time through actions. Just as creditworthiness was measured last century, this era will measure realness. A “realness score” could act like a credit score for the AI age—identity validated by protocols, authenticity embedded in platforms, and markets rewarding verified human behavior.
This trust infrastructure will be to AI what SSL was to e-commerce: unseen, indispensable and profitable.
Verified or synthetic
The next social split may be verified versus synthetic rather than rich versus poor. Verified humans will access finance, governance and digital legitimacy; unverified actors will operate in constrained, mistrusted zones.
The moral issue is not verification itself but control. Surveillance models centralize authenticity and corrupt it. Decentralized verification separates proof from power. Identity can become a new passport—only a neutral system can apply it without subjugating people.
The business of trust
For decades the internet economy sold attention, not trust. Companies spent huge sums on ads and discovered later that many views came from bots, click farms or automated scraping—accounts that never could buy, believe or belong.
Businesses feel the cost of synthetic engagement and lack scalable ways to measure authenticity. In an AI-saturated internet, that problem becomes existential.
Trust, not reach, will determine value. The next generation of networks won’t sell eyeballs; they’ll sell verified human attention. Imagine advertisers paying only for provably real interactions—a verified consumer who genuinely watched, engaged or purchased. Authenticity infrastructure enables an economy where truth itself is a performance metric.
Proof of being
Humanity has historically outsourced trust to gods, states, banks and algorithms. That chain is breaking. The next step demands proof that originates with individuals, not solely institutions.
AI’s role isn’t simply to surpass humans but to define where humans and machines meet—operating under mutual proof, mutual respect and shared accountability.
In a world where imitation is limitless, authenticity is the final scarcity. In the economy that follows, the most valuable currency won’t be purely digital; it will be human realness itself.
Opinion by: Kirill Avery, founder and CEO of Alien.
