Opinion by: Ignacio Palomera, Co-founder and CEO of Bondex
The global recruitment landscape is changing rapidly. Job seekers today are increasingly turning to generated AI to draft cover letters, tailor resumes, and even mock interview preparations.
Agent AI is automatically applied, and the generated AI is drafting personalized applications at scale, while AI automatic application tools enable candidates to apply for thousands of roles in minutes. Employers are overwhelmed by smart, persuasive and tailor-made applications, but are often lacking the signal of real effort, ability or authenticity.
When anyone can use several AI tips to start polished, high-quality applications, a traditional cover letter (once seen as an opportunity to stand out and show real intentions) becomes a commodity. It stops the signal working or enthusiasm and starts to look more like a standardized output.
The hiring manager is now staring at the inbox, filled with sleek personalized apps that are all weird. This is where the real problem lies: If everyone sounds qualified on paper, how can you tell who has the skills and know how to play the game in the prompts? It’s not about who wrote the best, but about who can prove that they can spread in the real world.
AI’s fragile trust system gets worse
Traditional recruitment has long relied on trust-based signals such as resumes, references, and degrees, but these signals have been weak agents. The title may be exaggerated, the education may be exaggerated, the past work may be exaggerated. Artificial intelligence blurs things even more, and human-oriented eloquence covers up unverifiable claims.
For fast, remote industries, such as cryptocurrencies or decentralized autonomous ecosystems, the stakes are even higher, as there is little time to do due diligence. Trust is rapidly extended, usually informal – in a pseudonym, there are risks in the global environment. More human resource tools or AI detection cannot be solved. What is needed is to build a stronger foundation of trust.
Now is the time to get a verifiable reputation and chain employment
Consider a hiring manager trying to validate work history, social processing or chain chain contributions.
Today, a decentralized identity (DID) system can help you prove that you are a real person – you exist and are not a robot. This is useful, but it’s just the beginning.
The problem they didn’t solve is a deeper layer: what did you actually do? There is a new field emerging – can verify and make your professional history, certificates and contributions. It’s not just checking a box to prove that you exist. It’s about codifying your experience, so your reputation is based on what you do, not just what you say.
Related: Blockchain needs to be adjusted, scalable to narrow the AI hiring gap
In this model, your resume becomes a programmable asset. It’s not a static PDF, but something that can evolve, query and in some cases privately validated without revealing all the details. This is where zero-knowledge proofs (such as zero-knowledge proofs) allow users to control the amount they reveal and to whom they reveal.
One might argue that it’s all a bit invasive. However, in practice, especially in Web3, most serious contributors have operated through pseudonymous identities based on proven actions rather than work titles. Tu has brought us into “real humanity”. Verified reputation gives us a “real contributor.” This is a basic change worth paying attention to.
From HR filters to smart contract gates
As reputation becomes programmable, the entire industry will be reshaped. Grants, hire rounds and even token sales can be used as filters with proven certificates. No more guesses about who is eligible or compliant. You cannot forge pull requests merged into the core repo, or pretend you have completed a course linking with the Inevitable Token (NFT) issued by the smart contract.
This allows trust to be combined – it can be built into protocols and platforms by default. Today’s proven certificates include contributions, learning history and verifiable certificates. Soon, the entire work history may be a chain.
Trust upgrade in recruitment in the AI era
AI-generated working applications are just symptoms of greater trust breakdown. We have long been using unverifiable self-reports as the default value for hiring, and now the consequences we face. Blockchain-based identity and credential systems provide a way forward – individuals can prove that their jobs and employment decisions can be based on verifiable data rather than guesswork.
We need to stop pretending that polishing language equals skill proof. If hiring and a broader reputation system will survive the upcoming wave of AI, we need to rebuild the foundation of trust. OnChain credentials are a compelling starting point.
Opinion by: Ignacio Palomera, co-founder and CEO of Bondex.
This article is for general information purposes and is not intended to be considered legal or investment advice. The views, thoughts and opinions expressed here are the authors alone and do not necessarily reflect or represent Cointelegraph’s views and opinions.