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In January 2024, a finance director at a UK agency transferred $25 million to fraudsters after a video name with what gave the impression to be the corporate’s CFO — a really refined deepfake. This incident is much from remoted. The worldwide losses projected resulting from ecommerce fraud surged from US$44 billion in 2024 to $107 billion in 2029; a large 141% enhance, in keeping with a report from Juniper Analysis.
Compounding the issue, a staggering 60% of customers now doubt the authenticity of on-line content material, citing issues over AI-generated misinformation, deepfakes and content material overload, as revealed in Accenture’s Life Tendencies 2025 report survey.
For entrepreneurs and enterprise leaders, the threats are twofold: reputational injury from misleading artificial media and authorized legal responsibility as governments worldwide enact stringent AI disclosure legal guidelines.
Present options like watermarking and AI detection instruments are reactive by nature. Watermarking might be simply eliminated or cast, whereas AI detectors fail to determine manipulated content material by practically 30%, in keeping with College of Pennsylvania researchers, by easy tweaks like added whitespace or typos. Authorized actions, in the meantime, usually come too late to mitigate injury.
Fortunately, an answer exists: blockchain + AI-powered digital twins.
The rise of digital twins
Digital twins or avatars are a bridge between the bodily and digital world, serving to optimize methods and personalize our day-to-day experiences (journey, work, store, healthcare system and past). By embedding AI avatars with NFT passports, which act as tamper-proof digital certificates saved on the blockchain, these IDs create a verifiable document of an avatar’s origin and any subsequent modifications — making certain entrepreneurs and companies can confirm authenticity at supply slightly than scrambling to detect fakes after the actual fact.
Shopper belief is inextricably linked to transparency. A 2024 Edelman report discovered that 62% of customers solely belief AI-generated content material if its provenance might be verified. Blockchain-based authentication addresses this demand head-on. There’s a rising development of integrating NFT-based digital passports throughout varied industries to boost product authenticity, traceability and buyer engagement.
The company world is already adopting this strategy. For example, Breitling, a Swiss luxurious watchmaker, partnered with Arianee to supply every watch with a blockchain-based digital passport. Since then, there have been over 200,000 NFTs created, with roughly 30% buyer adoption. Within the Artwork & Collectibles trade, Arteïa launched its Arteïa Join, a safe digital passport for artworks anchored on the blockchain and securely linked to the piece through encrypted NFC tags, making certain authenticity and provenance.
Even the healthcare trade is adopting comparable frameworks. The UK NHS’s Digital Employees Passport makes use of blockchain to authenticate medical professionals, whereas Mayo Clinic partnered with Secure Well being Techniques to deploy AI-powered supplier IDs for telehealth — important steps to fight impersonation scams. By certifying authenticity on the level of creation, companies are thus fostering belief whereas mitigating the chance of reputational injury.
Associated: Blockchain, NFTs and the New Normal for Identification and Safety
Navigating the AI wave
For entrepreneurs, navigating the AI panorama requires a proactive strategy.
First, acknowledge that public-facing figures are prime targets for deepfake manipulation. Common monitoring for fraudulent content material is important. Second, anchor digital identities to verifiable applied sciences like blockchain. Third, staying forward of regulatory shifts is equally important. The EU AI Act, the world’s first complete AI regulation set to take impact this yr, imposes fines of as much as 7% of world income for undisclosed artificial media.
Comparable measures are rising worldwide, from the US Deepfake Act to India’s draft deepfake penalties, signaling a worldwide development towards stricter oversight. Regulators need proof, not guarantees. The blockchain’s immutable audit trails present precisely that. And, lastly, deal with digital identification safety with the identical rigor as cybersecurity. Assign accountability inside your crew, conduct common audits of AI instruments, and take into account partnerships with insurers specializing in deepfake legal responsibility.
The longer term path is obvious: Deepfake fraud is now not a hypothetical menace however a present-day legal responsibility. Whereas detection instruments play an necessary position, blockchain-based authentication affords a proactive protection mechanism. Similar to SSL certificates safe ecommerce, NFT passports can do the identical for AI by securing identification and authenticity.
For entrepreneurs and companies, the selection is obvious: to construct belief by means of verification now, or threat shedding every part to an artificial rip-off tomorrow. Within the quickly advancing age of AI, authenticity will not simply be necessary, will probably be the muse of belief and aggressive benefit.
In January 2024, a finance director at a UK agency transferred $25 million to fraudsters after a video name with what gave the impression to be the corporate’s CFO — a really refined deepfake. This incident is much from remoted. The worldwide losses projected resulting from ecommerce fraud surged from US$44 billion in 2024 to $107 billion in 2029; a large 141% enhance, in keeping with a report from Juniper Analysis.
Compounding the issue, a staggering 60% of customers now doubt the authenticity of on-line content material, citing issues over AI-generated misinformation, deepfakes and content material overload, as revealed in Accenture’s Life Tendencies 2025 report survey.
For entrepreneurs and enterprise leaders, the threats are twofold: reputational injury from misleading artificial media and authorized legal responsibility as governments worldwide enact stringent AI disclosure legal guidelines.
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