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Vechain’s ‘Web3 For Better’ Whitepaper
Summarising Our Approach to Global Sustainability Challenges
March 27, 2023
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The launch of our new whitepaper, co-developed with Boston Consulting Group (BCG), marks a seismic shift in the utilisation of blockchain technology in the pursuit of Environmental, Social, and corporate Governance (ESG), Sustainable Development Goals (SDG) and achieving global sustainability targets.

Titled ‘Web3 For Better’, the new whitepaper details a comprehensive approach to tackling sustainability challenges using ‘blockchain biospheres’ — ecosystems that leverage the core strengths of blockchain technology to create highly transparent, efficient and modular networks of companies and individuals to address sustainability challenges. These ecosystems deploy the approach of ‘gamification’, a concept where active engagement and participation by users is rewarded, creating powerful positive feedback loops to further incentivise sustainable actions.

Vechain has already demonstrated the efficacy and value of its technologies at scale with some of the largest global enterprises. By combining these experiences with BCG’s expertise and vast client network, we’re embarking on the next steps in our journey and globalising our successes, launching a new web3-powered era of green global development.

Below — we summarise the contents of the whitepaper to explain the core ethos and path forward in this new chapter in the mainstreaming of blockchain technology.

Redefining The Role of Web3 and Concepts of Value

‘Web3’ is a term to describe the evolution of data ownership and the internet itself. In the current iteration — Web2 — users create or view information, submitted to, and stored by, tech providers who ultimately control information flows, leveraging these data to create value for themselves.

In Web3, we extend beyond the simple ‘read and write’ paradigm and instead, enable an environment where users can immutably create, own and fully control their data, generating value from it for the first time. Web3 also allows users to exchange value with others directly, removing the need for intermediaries. Web3 is often referred to as the ‘Internet of Value’ for this reason.

In this new epoch, the notion of value itself is shifting. Purchasing decisions such as ethics or sustainability create opportunities for consumers to drive social change through the brands and companies they engage with. These ‘positive externalities’ are overlooked in legacy valuation models and represent new opportunities to apply blockchain and create value for brands based on consumer activity.

A recent Boston Consulting Group survey of approximately 19,000 consumers found that 16% cited sustainability as one of the top-three drivers in their most recent purchase. A significantly larger share said they could be persuaded to make sustainable choices if the products or services deliver other related needs.

Put simply, social and environmental factors, or essentially, choices, create new kinds of market value that legacy models fail to take into account. It is with this framework that vechain and Boston Consulting Group are upending the traditional valuation model of goods and services by leveraging the power of blockchain to generate new economically valuable insights.

Going Green With Gamification

Humans are motivated by rewards and incentives. In our vision for a greener future, people are at the centre of game design — their motivations and needs shape how incentives are constructed.

For ecosystem enablers/developers, gamification enhances community engagement, generates deeper insights into consumer behaviours, increases retention and more. For participants, gamification creates community, promotes feelings of belonging, accomplishment, and ownership as well as creating tangible direct benefits such as providing discounts and services.

For example, a user journey can be created to increase second-hand fashion buyer engagement, leveraging NFTs and token-gated access. A digital product passport (tokenomics built using NFTs) can facilitate ownership transfer of a product from seller to buyer in a secure and immutable way, earning some kind of tokenized reward upon doing so.

As the buyer collects more product digital passports, their status grows and are motivated to earn extra tokens awarded in pursuit of certain milestones (e.g., their tenth purchase). Upon doing so — they gain special access to features, perhaps discounts, or certain desirable capabilities within the ecosystem (a process called ‘tokengating’).

In turn, this can be applied to create more nuanced perks across ecosystems and industries with the Blockchain Biosphere, creating new webs of engagement and multiplying the effect of individual actions..

Vechain’s ‘Blockchain Biospheres’

Vechain’s blockchain biospheres are a revolutionary approach to enabling sustainability using ecosystems of incentives and direct engagement. Blockchain biospheres are industry-spanning ecosystems dedicated to solving specific sustainability/industry needs, whether tackling sustainable approaches to global logistics trails or quantifying carbon capture and tokenizing emissions reductions of the energy sector. Early precursors of these biospheres included our Carbon Credit DApp built in 2018 with DNV and BYD, and later, becoming the tech provider for San Marino as it builds towards carbon neutrality.

For blockchain biospheres to thrive, an ecosystem’s business model must make economic sense and provide the right incentives for each actor, whether business or individual. For new ecosystems to take hold, we must also incorporate new, broader concepts of value, create a new kind of economic approach and reward/promote pro-societal and eco-friendly behaviours.

We can imagine a scenario where a reseller from a second-hand sustainable fashion ecosystem receives tokens for their efforts in promoting reuse of clothing. They can then spend those tokens for reduced fees at a charging station in the electric vehicle (EV) ecosystem. In close collaboration with Boston Consulting Group, we are in the process of expanding our enterprise partnerships and developing additional technical capabilities to support these kinds of inter-connected Biospheres.

Token holders and service providers are more motivated to contribute to and build on the ecosystems they participate in, thus growing the value of their impact, holdings and ecosystems at large. Blockchain biospheres directly incentivise participation by all kinds of users and recognise individuals, through rewards, for their activities. With these solutions, vechain is creating technical solutions to radically enhance the impact of individual actions.

Second-Hand Fashion Marketplace

One of our first examples is a second-hand marketplace ecosystem dedicated to promoting sustainable fashion. The objective is to promote the reuse and trusted after sale of clothing, reducing the environmental impact of the fashion industry while giving ecosystem participants more control over the authentication process of sales and purchases.

With on-chain fungible tokens, NFTs, smart contracts, and DAOs, vechain and BCG are creating greater customer engagement and stickiness. Beyond deploying digital assets, elements of Web3 can be used to roll out features that incentivise greater participation and promote loyalty, such as:

Fungible and non-fungible tokens (e.g., spendable loyalty currencies, NFTs) to gamify interactions, track engagements with sellers and reward loyalty with real-world perks and benefits

Utility or “Phygital” NFTs issued to reward activity in the ecosystem by unlocking early access, discounts, and unique experiences

Deploying blockchain-based tokens to plug-in external partners and merchants. The immediate transaction settlement and interoperability rules programmed in Smart Contracts automates the manual overhead associated with such collaborations

Token gating — aka a certain level of engagement as a requisite for access — to enable smoother collaboration between parties, and more engaging, rewarding experiences for users

DAO-like structures to enable voting on brand decisions, such as products to launch or partnerships to bring onboard. Governance can be configured to give certain token holders’ votes more weight depending on loyalty status, history of engagement, participation in key challenges etc

The Current Strategy

In traditional resale markets, sellers list goods on a marketplace. Higher value goods such as luxury items require authentication at physical locations, in exchange for a commission. Once purchased, goods are shipped to the buyer, who relies on the credibility of the marketplace for authentication. Payment flows from the buyer, through the marketplace, to the seller.

The Web3 Approach

In the web3 second-hand market for fashion, sellers list goods on the marketplace. Instead of the seller shipping the goods to an authentication site, the goods are sent straight to the buyer, having already been implanted with vechain’s NFC + blockchain technologies. The buyer scans the tag to verify the authenticity of the goods themselves. Payments are executed by smart contracts and sent directly to the seller, without intermediary or commission taking.

Electric Vehicle Battery Recycling

Another key target for our blockchain biospheres are electric vehicle (EV) batteries. The objective of this ecosystem is to use blockchain technology to create battery passports, based on NFT technology, that enable full lifecycle traceability of batteries, easing the recycling process and promoting the reuse of critical materials.

EVs are estimated to make up half of US automobile sales by 2030, according to Bloomberg. That rapid growth makes it an imperative to explore the challenges facing the sector as it continues to evolve and scale. We have identified three significant pain points for EVs and batteries:

1. High initial carbon footprint for manufacturing EVs

2. Low recycling and second life usage of EV batteries

3. Lack of engagement after initial EV sale

The European Union’s battery mandate requires that a certain percentage of a lithium-ion battery’s content come from recycled sources. A predicted shortage of the precious metals used to construct new EV batteries creates an imperative to build technical solutions to mitigate issues before they arise.

Governments are providing significant monetary incentives to build-out EV battery supply chains and recycling systems. These trends create a wealth of opportunity for vechain’s technologies.

The Current Strategy

In the traditional EV battery lifecycle, there is low credibility with supply chain sustainability due to a lack of transparency. Consumers have minimal insight into the manufacturing of EVs, including their batteries. Additionally, there is a lack of traceability of batteries after the initial EV sale, either heading to landfill or recycling sites with no oversight or ability to verify.

The Web3 Approach

In vechain’s EV Battery Ecosystem, a phygital battery passport, powered by NFTs, becomes the enabler of sustainable behaviour. The passport collects information throughout the manufacturing process, sale process, second-hand customers, and eventually, recycling facilities, who can access the EV battery passports and retrieve battery information to complete the cycle, creating visibility across the entire lifecycle.

3D Printing and Supply Chain at the Edge (SC@E)

Our third ecosystem deploys novel technologies to tackle entrenched problems with modern supply chains. 3D printing in combination with blockchain technology is providing a powerful answer to address the sustainability challenges of the logistics industry.

Global supply chains account for 8% of annual carbon emissions, according to the International Energy Agency. The magnitude of these emissions is only projected to grow in coming decades. While this is a well-established industry, there are three significant pain points:

1. Supply chains are significant producers of carbon emissions

2. Expensive and lengthy transportation routes for spare parts from original equipment manufacturers (OEMs)

3. Unused inventory leading to waste and working capital losses

SC@E replaces traditional manufacturing with blockchain-enhanced 3D printing in a process that looks like the following:

  • A customer initiates the process by placing a request for a spare part
  • The request is sent to the owner of the spare part’s intellectual property who relays a digital blueprint to a 3D printing facility close to the customer
  • Automobile Original Equipment Manufacturers (OEMs) send blueprint files to 3D printing facilities, securely facilitated by VechainThor

The Current Strategy

In the current supply chain and logistics industry, OEMs manufacture a spare part far away from the end user. The part may be transported hundreds or thousands of miles to the end user through a variety of transportation methods, generating significant emissions. The whole process can take days or weeks, leading to long lead times in the case of supply chain shocks.

The Web3 Approach

Supply Chain at the Edge is a more versatile and streamlined process in which the OEM is only responsible for designing the parts. When an end user has a request for a part, that part will be printed close to them after the digital file has been sent to a 3D printer via blockchain. The lead time for parts shrinks drastically, as does the emissions related to the product’s manufacturing and delivery.

The SC@E ecosystem generates three sources of value:

1) Carbon emissions savings from on-location 3D printing of physical goods, eliminating long-distance shipping

2) Time saved — 3D printing locally takes 12–24 hours and can be delivered quickly. Overseas manufacture and transportation can take weeks to reach final customers

3) Additional economic opportunities — faster supply chains allows OEMs to reduce inventory stockpiles since they can rely on on-demand 3D printing. This reduces capital costs and lets OEMs scale down inventory warehouses, increasing economic opportunity elsewhere

Vechain’s Mass Adoption: Next Gen Tooling, Integrating The System Integrators

Naturally, vechain’s technologies play a core role in the development of Blockchain Biospheres. We are building many new powerful features to enable wider scale adoption of vechain and to create technical parity with the world’s largest blockchain, Ethereum.

In the current enterprise landscape, many have opted to use private blockchains based on Ethereum technologies. With this parity, vechain will allow the seamless porting of projects to our public blockchain VechainThor.

Powerful Tools

One of the core components of this mission is our upcoming web3-as -a-service platform, VORJ.

VORJ is our most advanced toolset yet — a Web2-based portal to cater for the most demanding Web3 needs. Featuring a familiar UI, it allows users to mint, and manage fungible and non-fungible tokens, access a wide-array of smart contract templates built to Ethereum standards and a smart contract wizard for quick deployment. With this approach, we ensure seamless interoperability with other EVM networks.

We recently launched VeWorld, a powerful Web wallet, soon to be launched in mobile and desktop versions. One of the upcoming features — integration of URL-based fee delegation — means users can easily configure transaction cost payments with third parties such as vechain.energy, removing a key hurdle to mass adoption.

The wallet will feature innovative functions such as a fiat on/off ramp, token bridges, a native DEX, a native NFT viewer and more.

Other key technical features include the deployment of a carbon footprint explorer via VechainStats, an official sustainability-focused NFT marketplace, oracle integration to bridge data from the real world and other blockchains, greatly enhancing cross-chain operability and a DAO development framework.

We have been dedicating significant resources to improving developer tooling, including contract development framework integration, a contract development IDE, the OpenZeppelin smart contract library, Ethereum’s Hard Hat and Truffle toolsets and more.

Integrating The System Integrators

A key adoption vector for vechain is through the various global system integrators — a dedicated team is now focused on working with various global ERPs to offer vechain-as-a-service, leveraging our powerful VORJ platform.

Through this approach, the VechainThor blockchain is obtaining global accessibility at a far greater scale than before. This approach, in tandem with the extensive networks of our strategic partners is placing vechain at the core of enterprise blockchain development, and promises to see our blockchain thrive as a core player in the web3 era.

Next Steps

Launching and establishing the first ecosystems is now our core priority. With our tool sets almost live, we are coordinating something grander in collaboration with our strategic partners.

We are identifying players who fit the roles needed for each sustainability ecosystem to operate and who understand the necessary incentives for stakeholders to participate. Our differentiated underlying technologies and portfolio of real-world applications (co-developed through enterprise partnerships) are providing a springboard for vechain to become the enabler of Web3 at scale, and empower people to drive positive change.

Closing Remarks

The Blockchain Biosphere approach represents the foundational layer of the next decade of blockchain development. These interconnected ecosystems finally offer individuals the platform to drive meaningful outcomes, at scale.

Web3 technologies distribute power among the many instead of concentrating it among the few. Through our promotion of continuous research and innovation, in partnership with academic institutions, developers, and strategic partners, vechain is advancing Web3 in its entirety, powering practical and efficient solutions to address real-world challenges.

With new governance and economic models that will cater for smooth and scalable adoption of vechain’s blockchain, our Biosphere represents a significant moment in the history of this emerging industry.

Join us, and let’s build the future of sustainability, together.

About vechain

Vechain, headquartered in San Marino, Europe, is the curator of VechainThor, a world leading smart contract platform spearheading the real world adoption of blockchain technology.

Through leveraging the capabilities of ‘trustless’ data (information without intermediaries), smart contracts and IoT technologies, VechainThor has enabled solutions across a wide array of fields. Vechain now turns its attention to the greatest challenge of allbuilding digital ecosystems to drive sustainability and digital transformation at global scale.

Visit https://www.vechain.org to learn more.

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🤖Can Decentralized AI Stop Big Tech from Owning the Future of Robotics?🤖
The race to build the future of robotics is no longer just about robots. It's about who controls the intelligence behind them.
 
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The idea behind decentralized AI is simple. Instead of a handful of companies owning the models, compute infrastructure, data pipelines, and intelligence networks, these resources are distributed across thousands of participants.
 
This means anyone can contribute compute, contribute models, validate outputs and can participate.
The most visible example today is the decentralized AI network known as Bittensor (@bittensor). The network has evolved into a large ecosystem of specialized AI markets called subnets, where participants compete to provide useful machine intelligence and are rewarded based on performance. Rather than relying on a single company, intelligence is generated and validated by a distributed network of miners and validators.
 
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Why This Matters for Robotics
 
Robotics has a unique problem. Unlike chatbots, robots operate in the physical world. They need to perceive environments, make decisions, move safely and they need to learn continuously.
 
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Not a decentralized robot network yet.
 
But the infrastructure that could support one.
 
Beyond Bittensor: The Rise of Physical AI Networks
 
Bittensor isn't alone.
 
Across the industry, researchers and builders are experimenting with decentralized approaches to physical AI.
 
New research published in 2026 introduced the concept of DAO-enabled decentralized physical AI, or DePAI. The idea combines robotics, decentralized infrastructure, AI models, governance systems, and human oversight into a single framework. Instead of centralized control, robots and physical infrastructure could be coordinated through transparent rules and distributed ownership models.
 
At the same time, developers are exploring decentralized operating systems for robots that allow machines to communicate directly with each other and with distributed compute resources. These architectures are designed to make robotic systems more resilient and less dependent on a single cloud provider.
 
The goal is not simply decentralization for its own sake.
 
The goal is resilience.
 
If one server fails, the system continues.
 
If one company disappears, the network survives.
 
If one participant leaves, innovation continues.
 
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Decentralized AI faces the same challenge every decentralized technology faces.
 
Big Tech has resources. A lot of resources.
 
Training advanced robotics models requires enormous compute budgets, sophisticated simulation environments, access to specialized hardware, and vast amounts of real-world data.
 
That's why many robotics startups still partner with major cloud providers and AI companies. It's often the fastest path to deployment.
 
And there are legitimate concerns about whether decentralized networks can maintain quality, reliability, and security at the scale required for industrial robotics. Even researchers studying decentralized AI systems have highlighted risks around concentration, incentives, governance, and network security.
 
The challenge isn't just decentralizing intelligence.
 
It's decentralizing intelligence while maintaining performance.
 
That's much harder.
 
The Most Likely Outcome
 
The future probably won't be fully centralized. And it probably won't be fully decentralized either. Instead, we're likely heading toward a hybrid model.
 
Large technology companies will continue providing chips, cloud infrastructure, simulation platforms, and foundational research.
 
At the same time, decentralized AI networks will emerge as alternative coordination layers where intelligence, data, and economic value can be shared more openly.
 
The companies building robots may use NVIDIA hardware.
 
Train on Azure.
 
Run foundation models from OpenAI.
 
But they may also participate in decentralized data networks, decentralized compute markets, and decentralized intelligence protocols.
 
The future of robotics could end up looking less like a monopoly and more like an ecosystem.
 
The Bigger Question
 
The real question isn't whether decentralized AI can eliminate Big Tech.
 
It can't.
 
At least not anytime soon.
 
The real question is whether decentralized AI can prevent a future where a handful of companies control every robot, every model, every dataset, and every decision made by the machines operating around us.
 
As robots become workers, assistants, delivery drivers, factory operators, and even economic agents, that question becomes increasingly important.
 
Because the battle for the future of robotics is no longer about hardware.
 
It's about who owns the intelligence.
 
And that battle is just getting started.
 
 

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Navigating the world of blockchain 🧭
Navigating the world of blockchain can feel like learning a completely foreign language. Between technical jargon and fast-moving Web3 terminology, getting started can be overwhelming.

Whether you are exploring digital assets, building on-chain, or simply trying to understand decentralized technology, here is your foundational glossary of essential blockchain terms every beginner should know.

🏛️ 1. Core Architecture: The Base Layer

  • Blockchain: A distributed, immutable digital ledger that records transactions across a peer-to-peer network of computers. Once data is written to a block and added to the chain, it cannot be altered without altering all subsequent blocks.
  • Block: A collection of verified transactions grouped together. Once filled, the block is cryptographically linked to the previous one, forming a chronological "chain."
  • Node: An individual computer connected to a blockchain network that helps validate transactions, store ledger data, and maintain network consensus.
  • Consensus Mechanism: The set of rules and algorithms that network nodes use to agree on the validity of transactions.

    • Proof of Work (PoW): Requires miners to solve complex mathematical puzzles using computational power (e.g., Bitcoin).
    • Proof of Stake (PoS): Requires validators to lock up ("stake") native tokens as collateral to participate in block validation (e.g., Ethereum).

🔑 2. Ownership & Security: Wallets and Keys

  • Public Key (Address): An alphanumeric string that acts like your bank account number or email address. It is safe to share publicly so others can send you digital assets.
  • Private Key: A secret cryptographic passphrase or key that grants full access and control over your wallet assets. Never share your private key or seed phrase with anyone.
  • Seed Phrase (Recovery Phrase): A sequence of 12 to 24 random words generated when you set up a wallet. It acts as the master backup key to restore your wallet and access your funds on any device.
  • Hot Wallet vs. Cold Wallet:

    • Hot Wallet: A software-based crypto wallet connected to the internet (e.g., browser extensions, mobile apps), making it convenient for frequent transactions but higher risk.
    • Cold Wallet: An offline hardware device (e.g., Ledger, Coldcard) designed to isolate private keys from internet-connected threats.

⚙️ 3. Execution & Functionality: Smart Contracts and Apps

  • Smart Contract: Self-executing code stored on a blockchain that automatically enforces agreement terms once predetermined conditions are met—eliminating the need for intermediaries.
  • dApp (Decentralized Application): Applications built on top of a blockchain network that run via smart contracts rather than centralized cloud servers.
  • Gas Fees: Network transaction fees paid to validators or miners to cover the computational energy required to process actions on a blockchain.
  • Layer 1 vs. Layer 2:

    • Layer 1 (L1): The underlying primary blockchain network (e.g., Bitcoin, Ethereum, Solana) that handles base security and finality.
    • Layer 2 (L2): Secondary frameworks or companion networks built on top of an L1 to increase transaction speeds and lower gas fees (e.g., Arbitrum, Optimism, Base).

💰 4. Financial & Market Concepts

  • Tokenomics: The economic design, supply dynamics, utility, and distribution model of a cryptocurrency or token project.
  • DeFi (Decentralized Finance): Financial services—such as lending, borrowing, trading, and earning interest—built on smart contracts without traditional banks or financial intermediaries.
  • Liquidity: The ease with which an asset can be bought or sold in a market without significantly impacting its price.
  • DYOR (Do Your Own Research): A foundational golden rule in the Web3 space reminding users to independently verify technical code, whitepapers, and team backgrounds before making any capital commitments.

💡 Quick Cheat Sheet

"Not your keys, not your coins."

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AI Is Coming for Your Job Title

Artificial intelligence may or may not take your job, but it has already broken into the human resources department and vandalized the org chart.

The evidence is all over LinkedIn, where perfectly serviceable occupations now arrive wearing titles such as “forward-deployed and agentic AI architect.” That person may be building sophisticated software. They may also be helping a chatbot remember what happened three prompts ago. Either way, somebody approved the business cards.

The expanding AI lexicon offers a useful counterpoint to the darker debate about technology and employment. Most discussion centers on how many jobs AI will eliminate. Hiring data presents a more complicated picture that includes a weak overall labor market containing a small but rapidly growing neighborhood of AI-related work.

Indeed Hiring Lab found that the number of postings on Indeed mentioning AI surged 134% from its February 2020 level by the end of 2025, even as total postings stood only 6% above that benchmark. AI appeared in a record 4.2% of Indeed postings in December.

AI, in other words, is not merely changing work. It is adding syllables to it.

The Titles Employers Actually Want

The undisputed champion is AI engineer, which ranked No. 1 on LinkedIn’s 2026 Jobs on the Rise list. The ranking, based on growth during the previous three years, also highlighted AI consultants and strategists, AI and machine-learning researchers and data annotators.

The title is popular partly because it is wonderfully accommodating. An AI engineer might build applications around large language models, connect corporate data to an AI system, improve model performance or spend Thursday afternoon persuading a customer service bot not to offer refunds for products the company doesn’t sell.

Indeed’s data showed the terminology spreading beyond Silicon Valley. Nearly 45% of data and analytics postings contained an AI-related term at the end of 2025, along with roughly 15% of marketing postings and 9% of human resources listings. A more recent Indeed analysis reported by Business Insider found that the number of frequently advertised job titles explicitly referencing AI rose from 264 in 2022 to 822 in the first quarter of 2026. Nearly two-thirds were outside traditional technology fields.

That produces titles such as AI marketing manager, AI learning specialist, responsible AI counsel and AI transformation lead. These are not always new occupations. Frequently, they are familiar jobs that have discovered a highly effective résumé keyword.

LinkedIn data cited by the World Economic Forum estimated that AI investment has supported 1.3 million positions, including AI engineers, data annotators and forward-deployed engineers, plus more than 600,000 AI-enabled data center jobs. The server racks, unlike the chatbots, still need electricians.

The Jobs With the Science-Fiction Salaries

At the upper end, AI has created a compensation market that resembles professional sports, except the competitors wear hoodies and discuss inference latency.

Syracuse University review put chief AI officer compensation between $200,000 and more than $500,000, while specialized roles can exceed $400,000 after bonuses and equity. Frontier research engineers, AI infrastructure specialists and engineers who can train or deploy advanced models command some of the largest packages.

Then there is the forward-deployed engineer, an old Palantir title that the AI boom has placed on a rocket sled. These engineers embed with customers, translating an executive’s desire to “do something with AI” into software that works. The Next Web reported that Indeed postings for the role were about 19 times higher in January than a year earlier.

CTO guide from the blog Signal Through the Noise placed forward-deployed engineer compensation between $238,000 and $700,000, research-engineering packages as high as $1.4 million and chief AI officer compensation above $1 million in some cases. It also made a less flattering observation: Many lavishly differentiated titles describe the same three basic functions. People build AI products, train models or keep the infrastructure from catching fire.

The Department of Unnecessary Titles

AI has created some genuinely new work. Evals engineers design tests to determine whether models perform reliably. AI red teamers try to make systems fail before customers do. Model behavior engineers study why an AI system responds as it does. AI governance leaders manage risks involving data, bias, security and regulation.

Other titles seem to have escaped from a brainstorming retreat.

There is the Claude Evangelist, whose mission apparently combines product education with the traditional duties of an apostle. There are vibe coders, who build software by describing what they want and accepting AI-generated code with varying degrees of supervision. “Vibe engineer” is the more respectable version, roughly equivalent to putting on a blazer before asking the machine to fix the login page.

“Context engineer” is a real discipline involving the data, instructions, memory and tools supplied to AI models. “Prompt engineer,” once advertised as a possible six-figure profession for gifted chatbot whisperers, is increasingly treated as one skill inside a broader AI role.

The CTO guide also identified “builder,” “AI-native developer,” “RAG engineer,” “agentic AI engineer” and “principal agentic GenAI forward-deployed context architect,” the last of which appears to require both technical proficiency and exceptional lung capacity.

Has AI created entirely new jobs? Absolutely. Some occupations, including AI safety, evaluation and model governance, exist because modern generative systems introduced new technical and business problems. However, many job titles are old jobs with fresh vocabulary, higher salary bands and a sudden aversion to the words “software developer.”

That may be the safest prediction about AI and employment. The machines will automate some tasks, generate others and force companies to rethink the division of labor. Before any of that is settled, however, corporate America will form a steering committee, appoint a chief agentic transformation evangelist and schedule a meeting to determine what that person does.

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