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⚠️Introducing the Theta Metachain — The blockchain architecture purpose-built for Media and Entertainment enterprises entering the Web3 space⚠️
December 03, 2022
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Today marks the start of a new era for Theta blockchain — the launch of Theta Metachain, the blockchain architecture purpose-built for Media and Entertainment enterprises entering the Web3 space. With this upgrade Theta blockchain will gain the high transaction throughput, customization, and reliability that is necessary for leading Media and Entertainment enterprises to bring their millions of users onchain.

Theta Metachain is an interconnected network of blockchains, a “chain of chains”. It will allow permissionless horizontal scaling of the Theta blockchain network in order to achieve potentially unlimited transactional throughput and subsecond block finalization time. This enables a customizable, highly scalable blockchain tailored for emerging Web3 businesses in the media and entertainment space.

Media and Entertainment companies face a number of challenges today. The Streaming Wars are leading to increased competition, decreased profits, and declining subscriber numbers. On the other hand users are burned out by too many subscriptions and too high costs. Blockchain monetization models using NFTs or tokens can package and gate content in creative new ways that serve better for the content owner/creator and the consumer, breaking the cycle of bad user experiences. These token economies allow brands to build a one-on-one relationship with their fans and users, free of intermediary vendors and their fees, which allows them to offer better incentives, rewards and value directly to their users. Blockchain also enables secure tracking of video views and rights management, solving two major pain points of media companies — two issues already being addressed by Replay and by Theta’s patented NFT DRM technology, respectively. But these use cases require much higher throughput and flexibility than existing solutions, and Theta Metachain aims to meet that need for Media and Entertainment enterprises in Web3.

Architecturally the Metachain consists of one “main chain” and an unlimited number of “subchains”. Just as “meta-” as a prefix refers to something that transcends or is more comprehensive than the subject, ex. metaphysics describing what exists beyond physics, Theta Metachain refers to an overarching “main chain” above many purpose-specific “subchains”. The “main chain” in this case refers to the existing Theta mainnet. Theta will offer an easy-to-use SDK that developers can quickly use to launch a subchain and plug it into the main chain. Since each subchain can execute transactions independently, this provides a viable path to infinitely scale the processing capacity of the Metachain. The subchain SDK will implement a built-in interchain messaging channel which connects the subchains and the main chain, and thus allows crypto assets like TNT20/721 tokens to flow freely across the chains. The process of creating a subchain is permissionless, meaning that anyone can register and launch a subchain. No approval from Theta Labs is required. You can find the open-source Metachain code on Theta GitHub.

The first subchain has now been deployed on testnet by Replay, the video tracking and payments platform built on Theta. The subchain produces a new block every 2 seconds, which is much faster than the Theta mainchain. Because of this, transaction finalization on the subchain will also be significantly faster. Additionally, Theta Labs has launched a mainnet Developer Playground subchain for developers to begin creating dapps, either standalone or in preparation for launching their own subchains, as many ecosystem projects are planning to do.

Later in the blog you can find the leading Metachain launch partners already planning to release their own subchains, but community Metachain development will be a core focus in 2023 to continue building the Theta Ecosystem! In addition to a new developer education program in the works, a new Metachain-focused Theta Hackathon will begin in Q1 2023.

The Metachain launch features a new Metachain Explorer design which showcases the Mainchain and the Playground subchain:

Metachain Overview Page, from here the users can navigate to explorers of different chains: https://metachain-explorer.thetatoken.org/

Main Chain explorer: https://explorer.thetatoken.org/

Developer Playground explorer: https://tsub360888-explorer.thetatoken.org/

A newly-designed “Metachain navigation bar” has been added to the explorer pages for users to quickly jump between different chains. Users can simply click on the “Go to chain” drop-down menu on the right to see the list of the chains (see the screenshot below). Users can also click on the “Metachains” menu item to navigate to the Metachain overview page.

Subchains can be accessed via Theta Web Wallet, Theta iOS and Android Wallet (v4.0.0 update available now in most regions, with some to come later today as App Store updates), and Metamask. Instructions on how to bridge assets between the Mainchain and subchains can be found here.

For developers, below are the ETH RPC endpoint and related info for the “Developer Playground” Subchain:

Network Name: Theta Playground Subchain

ETH RPC URL: https://tsub360888-eth-rpc.thetatoken.org/rpc

Chain ID: 360888

Currency Symbol: vTFUEL

Block explorer URL: https://tsub360888-explorer.thetatoken.org/

Launch Partners

Metachain was conceived to enable use cases for Media and Entertainment companies that require higher transaction throughput and customization from their blockchains. With leading launch partners preparing to launch their own subchains, Metachain is poised for rapid growth in 2023:

Replay

Replay is the blockchain video tracking & payments platform supercharging video for web3. Replay tracks video consumption in real time, removing monetization friction for content creators and delivering unparalleled transparency into viewership and performance. Built on Theta’s blockchain protocol, Replay enables digital-ready streams that are trackable on the blockchain and available for distribution via a consumption-based model, using the RPLAY TNT-20 token to decentralize and reimagine video streaming, tracking and payments.

Replay also launched Rewarded TV, a blockchain-enabled OTT streaming service that lets viewers earn crypto in real-time for watching, sharing and engaging with their favorite content, without ads or subscriptions. Powered by Theta blockchain, viewers can today sign-up for free and enjoy premium VOD and Live TV content. Users are able to earn RPLAY, a TNT-20 Theta token, for watching, sharing and engaging with their favorite content, as well as purchase NFTs which evolve in real time to unlock exclusive token-gated content.

Symbiote Creatives / Fuse Wars

Symbiote Creatives (SC) is a family of entrepreneurs, creators, builders and experts. The team, led by founder Ivory Jones, has previous experience at AWS, Oracle, Google, SunGard, Ethereum, Unreal, Unity, and other leading companies in the tech and gaming space. Symbiote Creatives offers solutions to gaming developers to integrate their games with full blockchain and Web3 capabilities. By basing their blockchain integrations exclusively on Theta Metachain, they can deliver on their promise of unlocking innovative GameFi earnings solutions.

Much of the buzz around Symbiote Creatives is due to their highly-anticipated game FuseWars. FuseWars is a third person shooter multiplayer experience currently in development, utilizing Epic Online Services to access achievements, matchmaking and lobbies in a peer-2-peer game environment. The game has already generated a huge buzz in the Theta community and beyond, including media coverage from NFT Mag, and thex associated NFTs have the highest demand of any collection in the ThetaDrop Marketplace. Players can choose their Fuse Guardian to battle friends and control the battlefield. A closed beta version is already being tested by key community members, and open beta is expected to launch in late December 2022. Members of the beta test community routinely stream game play on THETA.tv.

Order of the Tigons

Order of the Tigons (OOTT) is a creative venture developed by Verified Labs, a Web3 production studio focused on blockchain tech, digital art, media, entertainment, and the future of the metaverse. Jon Heder (Napoleon Dynamite, Blades of Glory, CYKO KO) is one of five partners in Verified Labs, and is the artist behind the quirky hybridized space cats featured in the Tigons 2D generative NFT collection.

Order of the Tigons will be among the first projects to offer NFT staking when ThetaDrop completes open beta testing of NFT withdrawals from the marketplace. In a first-of-its-kind technology developed by the Web3 innovation firm, Fuel Foundry, Tigons staking will feature “in wallet virtual staking,” which allows NFT holders to earn rewards while keeping NFTs in their own Metamask wallets. Staking rewards will be paid in Kfuel, OOTT’s unique TNT-20 token built on the Theta blockchain, and will also be offered to Theta node operators. Kfuel will be used for governance and perks for upcoming Tigons releases, including participating in story development, tickets to premiers, casting, & with enough Kfuel, even an Executive Producer title on an upcoming Tigons animated series.

Fuse Media

Fuse Media is a Latino-owned, multi-platform entertainment company dedicated to empowering, celebrating, and amplifying young, multicultural voices. With a portfolio of award-winning original content and a growing global footprint, Fuse strives to authentically reflect the world of its young and diverse audience, pioneering a multicultural and creative destination. The Fuse Media family includes Fuse, Fuse+, Fuse Backstage, Fuse Beat, FM (Fuse Music), Fuse Sweat, fuse.tv, and Fuse Content Studio, its in-house production arm, as well as a growing branded content and live events business.

Known for empowering, celebrating, and amplifying young, multicultural voices, Fuse is uniquely positioned to support and promote education and adoption of Web3 tools and opportunities among a key underrepresented demographic in the space. Incorporating Theta-based NFTs and TNT20 tokens, Fuse is aiming to unlock a new level of engagement that strengthens their relationship with their fast-growing audience, with a soon-to-be-announced new platform build from the ground up on Metachain.

Immersive Enterprise Laboratories (IEL)

Immersive Enterprise Laboratories (IEL) is an Animation and Web3 Entertainment studio, now emerging from stealth and on a mission to deliver the next generation of entertainment and experiences. The IEL team is comprised of technology veterans and creators from the entertainment industry who are on a mission to produce the experiences needed to bring Web3 Entertainment to life. Their storytelling abilities, artistic expertise, and proficiency in entertainment technologies enable them to create compelling and engaging experiences.

IEL’s comprehensive technology stack includes real-time live motion capture, advanced motion capture stunt coordination, collaborative workflows, industry-standard 3D modeling tools, real-time rendering, visual effects, and post-production integrations. Combined with our state-of-the-art workflow, these technologies produce the highest quality visualization, style, storytelling, and visual fidelity.

TrooVRS

trooVRS is an immersive media platform for men to engage with practical knowledge and self-care-focused content across virtual editorial environments, experiences, worlds, NFTs, and eCommerce. By using VR, Web3, and blockchain technology, trooVRS aims to reinvigorate and transform the world of men’s editorial and share a new way to experience content in the metaverse. Building on the recent announcement of Fuse Media as the first Metachain partner, trooVRS continues to expand the media and entertainment industry’s adoption of Theta blockchain.

Led by CEO Adrian Whant, a digital media and advertising veteran who has held leadership positions at companies like NBCUniversal, Univision, ABS-CBN, trooVRS virtual worlds are purpose-built, where brands can hold activations such as presentations, branded content, and product demos in relevant environments such as stages, kitchens, gyms, showrooms and more. They will also be able to offer exclusive real and virtual goods and services including NFTs on Theta blockchain. trooVRS is working with leading brands to conceptualize initial activations on the platform.

Metapass

Metapass allows you to create events on Theta and sell NFT tickets so you can token gate your event and also server proof of attendance.

Conclusion

This is just the beginning for Theta Metachain! Stay tuned for upcoming subchain launches and for Theta community developers, subchain dev educational opportunities and hackathons. Join the Theta Ecosystem as we build the next generation of Web3 applications for media and entertainment!

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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.
But while Big Tech is building the highways, another movement is trying to ensure it doesn't own every destination.
 
That movement is decentralized AI.
 
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.
 
The challenge is that collecting and training on real-world robotic data is incredibly expensive. That's one reason large companies have such an advantage. They can afford the compute, simulation environments, and data infrastructure needed to train robotics models at scale.
 
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.
The resulting intelligence becomes a shared network rather than a proprietary asset.
 
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.
 
In other words, the pieces are starting to appear.
 
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.
 
But Here's the Reality
 
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."

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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