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CCIP Officially Launches on Mainnet
July 17, 2023
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July 17, 2023

We are excited to announce that the Chainlink Cross-Chain Interoperability Protocol (CCIP) has entered the Mainnet Early Access phase on the Avalanche, Ethereum, Optimism, and Polygon blockchains. Leading DeFi protocols in derivatives and lending are adopting CCIP, including Synthetix, which is live on CCIP mainnet, as well as Aave, with BGD Labs now integrating CCIP on mainnet into the protocol. 

On July 20, CCIP will become available to all developers across five testnets: Arbitrum Goerli, Avalanche Fuji, Ethereum Sepolia, Optimism Goerli, and Polygon Mumbai.

Connecting a Multi-Chain World

Web3 is now a multi-chain landscape. There are hundreds of blockchains, layer-2 networks, sidechains, subnets, appchains, parachains, and other environments for developers and users to choose from. While the launch of new on-chain ecosystems has driven innovation and adoption, it has also fragmented applications, on-chain assets, and market liquidity across different, disconnected blockchains. Furthermore, existing cross-chain solutions are complex—generally involving a multitude of technology stacks across protocols and chains—and often insecure, with $2B+ stolen due to cross-chain exploits. This lack of interoperability results in slower innovation and is holding back the progress and mass adoption of Web3.

But solving this problem is very hard. It’s not just about building the right product. It’s about building a standard that the whole industry can embrace to interoperate and build on top of each other. Building a cross-chain standard requires security, flexibility, and community. Security because moving value across chains needs to be highly reliable. Flexibility because the standard needs to accommodate all the use cases that developers will come up with and all the chains they want to build on. And finally community, because this standard is only as valuable as the community that adopts it. Chainlink has already built the industry-defining secure standard for Data in Web3, and thanks to all our users and partners, has built an incredible community. For all these reasons, Chainlink is uniquely positioned to extend this standard to solving the cross-chain problem and unlock a new wave of innovation in Web3.

Just like Web2 needed TCP/IP to connect isolated islands of computer networks, Web3 needs an interoperability standard to connect islands of blockchain networks.

CCIP is the most secure, reliable, and easy-to-use interoperability protocol for building cross-chain applications and services. Not only are developers given the flexibility to build their own cross-chain solutions on top of CCIP using Arbitrary Messaging, but CCIP also provides Simplified Token Transfers—which enables protocols to quickly start transferring tokens across chains using audited token pool contracts they control without writing custom code and in a fraction of the time it would take to build on their own.

CCIP is powered by Chainlink decentralized oracle networks, which have a proven track record of securing tens of billions of dollars and enabling over $8 trillion in on-chain transaction value. Since CCIP is built on the same foundation as existing Chainlink services, it requires little-to-no additional trust assumptions. If a dApp already relies on Chainlink for Price Feeds, then relying on CCIP for cross-chain interactions is an obvious choice. CCIP also features additional safety mechanisms that go above and beyond other cross-chain solutions, such as customizable rate limits on token transfers and a separate Active Risk Management (ARM) Network that monitors the validity of all cross-chain transactions.

CCIP Architecture
CCIP connects applications across various public and private blockchains to enable an interconnected Web3.

Developers, applications, and enterprises can use CCIP to unlock a variety of use cases, such as:

  • Cross-chain tokenized assets: Transfer tokens across blockchains from a single interface and without having to build your own bridge solution.
  • Cross-chain collateral: Launch cross-chain lending applications that allow users to deposit collateral on one blockchain and borrow assets on another.
  • Cross-chain liquid staking tokens: Bridge liquid staking tokens across multiple blockchains to increase their utilization in DeFi apps on other chains.
  • Cross-chain NFTs: Give users the ability to mint an NFT on a source blockchain and receive it on a destination blockchain.
  • Cross-chain account abstraction: Build smart contract wallets with native CCIP capabilities to improve the user experience of making cross-chain function calls. For instance, enable users to approve transactions on any chain using a single wallet.
  • Cross-chain gaming: Create blockchain-agnostic gaming experiences that enable players to store high-value items on more secure blockchains while playing on more scalable blockchains.
  • Cross-chain data storage and computation: Employ data storage solutions that enable users to store arbitrary data on a destination chain and execute computations on it using a transaction on a source chain.

Market Leaders Are Using CCIP To Interact Cross-Chain

Cross-Chain Liquidity With Synthetix

Synthetix is a DeFi protocol that acts as a liquidity layer for an ecosystem of on-chain derivatives and financial instruments. One of its recent additions to Synthetix V3, the Synth Teleporter, provides users with a streamlined method for transferring Synth liquidity between chains. This feature operates by burning sUSD (the protocol’s unit of account) on the source chain, then minting an equivalent amount of sUSD on the destination chain.

The Synth Teleporter employs Chainlink CCIP to burn and mint tokens across chains safely and accurately, ensuring security and reliability. This unique burn-and-mint model promotes higher capital efficiency without the need for liquidity pools. In doing so, Synth Teleporters enable Synthetix liquidity to flow toward areas with the highest demand, bypassing constraints associated with traditional token bridges.

Security is critical when dealing with on-chain assets, which is why we leverage Chainlink CCIP for our cross-chain Synths Teleporter. As one of the first users of Chainlink Data Feeds, we’re thrilled to get first access to CCIP and all the functionality it unlocks for Synthetix.”—Kain Warwick, Founder, Synthetix

CCIP Synthetix integration
CCIP enables Synthetix to securely transfer tokens across different blockchains through a burn-and-mint model.

Cross-Chain Governance on Aave

Aave is a non-custodial liquidity protocol that allows users to borrow and lend assets on-chain. Aave previously used several different chain-native bridges to support its multi-chain governance mechanism and used Ethereum as the voting network. This cross-chain architecture made it expensive for participants to vote and created substantial development and maintenance costs. Once Chainlink CCIP became available, the Aave community voted to integrate the protocol because of its gas-efficient design, time-tested infrastructure, scalability to new networks, and ease of integration. Thus, BGD Labs, a Web3 development initiative, is integrating Chainlink CCIP into the Aave Governance V3 to future-proof the cross-chain system.

We’re excited to leverage Chainlink CCIP for secure, reliable, and scalable cross-chain communication on the next iteration of the Aave protocol. With seamless integration into the cross-chain governance mechanism, CCIP is set to save valuable developer time that can be better spent enhancing the core features of Aave.—Ernesto Boado, Co-founder, BGD Labs

CCIP Aave integration
CCIP enables Aave to implement approved governance proposals across different blockchains.

Cross-Chain Connectivity for Capital Markets 

CCIP serves as a blockchain abstraction layer that allows enterprises to connect with and interoperate across any public or private blockchain environment directly from their existing backend systems. Swift and over a dozen financial institutions and financial market infrastructure providers have already begun exploring CCIP for instructing token transfers across public and private chains through existing Swift messaging infrastructure. The blockchain interoperability collaboration includes Australia and New Zealand Banking Group (ANZ), BNP Paribas, BNY Mellon, Citi, Clearstream, Euroclear, Lloyds Banking Group, SIX Digital Exchange (SDX), and The Depository Trust and Clearing Corporation (DTCC).

CCIP Enterprise Abstraction Layer
      A simplified architecture of how banks and FMIs are using CCIP via the Swift network.

Setting a New Standard in Cross-Chain Utility, Security, Reliability, and Developer Experience 

Some of the notable features of CCIP that set it apart from other cross-chain solutions include:

Simplified Token Transfers

CCIP Simplified Token Transfers is a plug-and-play solution consisting of audited token pool contracts that handle the complexity of burning and minting or locking and unlocking tokens across chains while ensuring token sponsors maintain full control over their Token Pool contract. Simplified Token Transfers provide additional security features, such as Rate Limits, and enhance the composability around protocols’ native tokens so ecosystem partners can easily transfer and build new capabilities around a protocol’s token via a single CCIP interface.

Programmable Token Transfers

Token transfers can include additional instructions about their intended use to a receiving smart contract on a different blockchain, such as swapping or staking assets once they arrive at the destination chain. With programmable token transfers, messages (tokens + data) are one atomic cross-chain transaction, and the tokens can always be assumed available when the instructions passed are executed at the destination.

Active Risk Management (ARM) Network

ARM is a separate, independent network that continually monitors and validates the behavior of the primary CCIP network, providing an additional layer of security by independently verifying cross-chain operations for erroneous activity. The ARM Network utilizes a separate, minimal Rust implementation of the Chainlink node software, creating a form of client diversity for increased robustness while also minimizing external dependencies to prevent supply chain attacks.

CCIP powered by Chainlink
                                                 The cross-chain stack of CCIP.

Rate Limits

CCIP supports customizable rate limits on the amount of tokens able to be transferred within a given time period. Rate limits can be configured on a per-token per-lane level, and are set up in alignment with the token issuer. There are also aggregate rate limits across all tokens for a given lane to ensure every token’s rate limit can not be maximally abused. This feature is part of the heavily audited CCIP code base and is only available for CCIP Token Transfers and not arbitrary messaging.

Smart Execution

CCIP utilizes a gas-locked fee payment mechanism, referred to as Smart Execution, to help ensure the reliable execution of cross-chain transactions regardless of destination chain gas spikes. For developers, this means you can simply pay on the source chain and CCIP will take care of execution on the destination chain.

Timelocked Upgradability

All on-chain security-critical configuration changes and upgrades to CCIP must either pass through a timelock smart contract, where proposed changes can be vetoed by a quorum of node operators securing CCIP, or explicitly approved by such a quorum without a timelock. This enables users and protocols depending on CCIP to inspect on-chain changes before they take effect. Any on-chain update that passes the timelock without a veto becomes executable by anyone. The community can run a timelock-worker to process executable upgrades. This approach to on-chain upgrades represents a step forward in the increased decentralization and robustness of the Chainlink Network.

Payment Model

As noted in the recent Chainlink Network in 2023 and Sustainable Oracle Economics blogs, we’re currently in the process of architecting enhanced payment models to support the monetization and long-term sustainability of Chainlink services. One of the primary goals is to reduce payment friction for dApps, enterprises, and end-users using Chainlink services so a greater amount of fees can directly support Chainlink’s various service providers over time.

With CCIP built to be the most secure and easy-to-use cross-chain solution, and the potential for fee payments to eventually originate across a multitude of independent blockchains, a low-friction payments solution for users is necessary for CCIP to quickly scale and support new blockchains. As such, CCIP supports fee payments in LINK and in alternative assets, which currently take the form of native blockchain gas coins and their ERC20 wrapped version. Payments made in alternative assets will be charged at a higher rate versus LINK payments. 

We are working on an automated on-chain conversion mechanism where fee payments made in alternative assets are auto-converted into LINK. Before this conversion mechanism is deployed, payments made in alternative assets will be withdrawn to separate maintenance pools and replaced within the CCIP contracts with LINK based on the exchange rate at the time of payment. LINK will then be paid to service providers (e.g., node operators). After an on-chain conversion mechanism has been deployed, alternative assets residing in maintenance pools can be converted to LINK. 

Fee payment premiums for CCIP Messaging will be a flat fee per message, while fees for using CCIP to enable token transfers will be a percentage of the value transferred. CCIP fees also include gas cost overhead. The premium portion of fees paid in alternative assets will have a surcharge of 10% versus LINK payments. Current CCIP premium fees are in line with industry standards within the cross-chain ecosystem, although these values are subject to change.

As Chainlink Staking expands over time to support more oracle services, such as CCIP, a portion of the user fees paid for those services are planned to be directed to stakers in exchange for increasing the service’s cryptoeconomic security.

CCIP Summer Is Here

We’re kicking off CCIP Summer in the runup to CCIP Mainnet General Availability, which will feature a global series of in-person and virtual CCIP events, workshops, and more. Look out for: 

We are also beginning a phased onboarding process, where users that participated in the testing program are transitioned to Mainnet Early Access. This security-focused approach will enable us to closely monitor all aspects of CCIP and ARM Network and help ensure user success by providing hands-on support. We’ll also continue to work with various token sponsors and dApps to add support for more tokens to CCIP over time. 

Solving the cross-chain connectivity problem will unleash an unprecedented wave of innovation in Web3. We look forward to building this standard with our community. 

To get notified once CCIP is available on testnet on July 20, sign up here. If you want to learn more about CCIP’s underlying architecture and code, check out the CCIP developer documentation.

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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.
 
Over the last three years, a small group of companies has emerged as the backbone of the AI revolution. Microsoft provides cloud infrastructure. NVIDIA supplies the chips. Google, OpenAI, Anthropic, Meta, and others develop the models. Together, they control much of the compute, data, and software stack powering modern AI.
 
Now that AI is moving into the physical world, many are asking a bigger question:
 
Will these same companies end up controlling robotics too?
 
It's a valid concern.
 
The latest generation of robots relies on enormous amounts of compute, simulation, training data, and foundation models. Many robotics startups today are built on infrastructure provided by large technology companies. NVIDIA's Omniverse is becoming a key simulation environment for robot training. Microsoft Azure is powering the training of robotics foundation models. Physical AI startups increasingly depend on hyperscale cloud infrastructure to train and deploy intelligent systems. Recent partnerships across the industry show just how central Big Tech has become to robotics development.
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Why Decentralized AI Exists
 
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.
 
Think of it as an attempt to build an open marketplace for AI instead of a world where intelligence is rented from a few centralized providers.
 
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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This is where decentralized systems become interesting.
 
Instead of one company collecting all the data and training all the models, decentralized networks could allow thousands of contributors to participate in building robotic intelligence.
 
Imagine a future where:
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  • Delivery robots contribute navigation data.
  • Factory robots contribute manipulation data.
  • Developers contribute models.
  • Validators evaluate performance.
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That vision is beginning to emerge.
 
Bittensor's Move Toward Physical AI
 
While many people associate Bittensor (@bittensor) with language models and AI services, parts of the ecosystem are increasingly exploring embodied intelligence and robotics.
 
One example is Kinitro, a subnet focused on incentivizing the training and evaluation of embodied AI systems. The goal is to create competitive environments where developers build robotic intelligence and are rewarded based on performance.
 
The broader Bittensor ecosystem has also expanded into compute marketplaces, distributed inference systems, bandwidth infrastructure, and AI coordination layers that could eventually support robotics workloads. Several subnets now focus on decentralized compute, confidential inference, data transfer, and model training, critical components for future robotic systems.
 
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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.
 
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If one server fails, the system continues.
 
If one company disappears, the network survives.
 
If one participant leaves, innovation continues.
 
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Training advanced robotics models requires enormous compute budgets, sophisticated simulation environments, access to specialized hardware, and vast amounts of real-world data.
 
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The challenge isn't just decentralizing intelligence.
 
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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.
 
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The companies building robots may use NVIDIA hardware.
 
Train on Azure.
 
Run foundation models from OpenAI.
 
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The real question isn't whether decentralized AI can eliminate Big Tech.
 
It can't.
 
At least not anytime soon.
 
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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."

If you do not hold the private keys or seed phrase to your digital wallet, you do not truly own the assets inside it—a centralized entity or exchange does. Always prioritize security first as you explore the space.

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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.

Source

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