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👀 FedNow and Ripple: What You Need To Know 👀
Ripple Is Among The Nearly 60 Partners Approved To Integrate With FedNow
January 02, 2024
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On June 29th, 2023, the Federal Reserve announced that it had approved 57 early adopter entities, including Ripple, as part of its FedNow pilot program. During the adoption process, Ripple and other financial services providers will undergo final trial runs on the service to ensure that it’s ready for widespread adoption

This announcement marked the official integration of Ripple technology and XRP within the FedNow payment system, signaling a significant development in the use of blockchain technology and digital assets in the global financial system. In particular, it represents the Federal Reserve’s interest in incorporating private blockchain technology providers into its payment processing systems. It should also be noted that FedNow has relied on Ripple’s Interledger Protocol (ILP) technology to form the core of FedNow’s digital transaction infrastructure, meaning that this partnership is deeper than many might think.

The partnership between Ripple and FedNow has also dramatically increased interest in Ripple and its native XRP cryptocurrency, despite Ripple’s prolonged legal battle with the SEC in regards to accusations that Ripple Labs sold XRP as an unlicensed security. 

What is FedNow?

                                 FedNow marketing graphic. Source: The Federal Reserve

FedNow, which launched in July 2023, is the Federal Reserve’s new instant payment service, which is mainly intended for bank-to-bank transfers and transfers between banks and other registered financial entities. Traditionally, the Federal Reserve has lagged significantly behind private payment services, and many consider FedNow as an attempt to remedy this discrepancy

Is FedNow a CBDC? 

While many have accused FedNow of being a subtle attempt to issue a CBDC (central bank digital currency) that could replace cash and traditional U.S. dollars, this is far from the truth

According to the Federal Reserve

“The FedNow Service is neither a form of currency nor a step toward eliminating any form of payment, including cash.

 

The Federal Reserve has made no decision on issuing a central bank digital currency (CBDC) and would only proceed with the issuance of a CBDC with an authorizing law.” 

In addition, in his March 2023 testimony before the House Financial Services Committee, Federal Reserve chairman Jermome Powell assured legislators that the Fed would need direct congressional approval before issuing any kind of CBDC. 

What is Ripple? 

                                       Ripple logo and graphic. Source: Ripple.com

Ripple is a blockchain-enabled payment network utilizing the XRP cryptocurrency. Ripple, somewhat like FedNow, is generally intended for interbank transfers and transactions between major financial institutions, with a specific focus on cross-border transactions. In the context of the Ripple blockchain ecosystem, XRP cryptocurrency serves as a temporary settlement layer between two independent financial networks or between two different currencies. Ripple was created by a private company, Ripple Labs, in 2012. 

Specifically, Ripple was designed to compete with the SWIFT (Society for Worldwide Interbank Financial Telecommunications) financial transfer network. While the average SWIFT transfer takes between 1-4 days (and sometimes longer), XRP transactions typically take between 3-5 seconds. In addition, transactions are quite affordable, with most transfers costing less than 1 cent. 

                                  Ripple transactions per day, Feb. 2013 to Aug. 2023. Source: Statista. 

The average XRP transaction takes about 3-5 seconds and costs less than 1 cent in fees.

As of late 2023, Ripple has partnered with a variety of well-known national and international banks and financial institutions, including Bank of America, Amazon Web Services, American Express, Banco Santander, and Standard Chartered Bank. In addition, Ripple also had a multi-year partnership with MoneyGram, but in 2021, MoneyGram decided to wind-down their partnership due to concerns over Ripple Labs’ lawsuit with the SEC. 

While Ripple is one of best-known blockchains on the market today– and one of the few chains that has demonstrated real-world value outside the crypto ecosystem, many experts have significant concerns over the network’s level of centralization. 

Much like many other blockchain networks, when the Ripple network started, Ripple Labs controlled the vast majority of the network’s nodes, as well as the vast majority of the chain’s native XRP currency, making the network extremely centralized. Many experts state that Ripple has taken an extremely slow road when it comes to decentralization, which is a core part of the SEC’s legal argument that XRP is a centralized security issued by Ripple Labs, not a decentralized commodity or currency. 

However, Ripple has taken some important steps when it comes to decentralization. As of October 2022, Ripple announced that it had sold a significant amount of its XRP holdings (stating that it now owned less than 50% of all XRP), and, perhaps more importantly, it stated that it only operated four of the network’s approximately 130 validator nodes

Despite these efforts,Ripple still remains incredibly centralized when compared to blockchains like Ethereum. For example, as of late 2022, the Ethereum Foundation, the most centralized entity associated with the Ethereum blockchain, stated that it only owned 0.3% of all ETH in circulation, and does not actively operate any validator nodes

In addition to facilitating cross-border interbank and financial services transfers, Ripple is also developing a CBDC (central bank digital currency) platform, which would make it easier for central banks and governments to create and distribute CBDCsThis platform functions as an advanced and customized iteration of Ripple’s Private Ledger technology, helping facilitate major functions including minting, distribution, redemption, and token-burning.

The Technical Details of The FedNow’s Partnership With Ripple 

Ripple’s technology partnership with FedNow goes much deeper than many might think. Ripple isn’t just a minor partner involved in testing the beta version of the FedNow transaction network– instead, Ripple’s underlying technology is actively being used as a core part of the FedNow system. Specifically, Ripple’s innovative Interledger Protocol (ILP) actually provides much of the technology infrastructure for FedNow’s transaction system. ILP is the core technology that enables Ripple, allowing the network to utilize the XRP cryptocurrency for secure, transparent, and near-instantaneous cross-border transactions. 

What Other Entities Are Part of the FedNow Pilot Program?  

According to a June 2023 press release from the Federal Reserve, some of the best known entities (other than Ripple) that are currently partnered with the FedNow program include BNY Mellon, JPMorgan Chase, U.S. Bank, and Wells Fargo Bank. 

What Does This Partnership Mean For The Future of Blockchain? 

Overall, as previously mentioned, the Fed’s partnership with Ripple shows us their increasing interest in public-private partnerships within the blockchain technology space. This could be a positive indicator that the Fed wants to support innovative technologies and create a more efficient, equitable financial system. Alternatively, it could indicate that the Federal Reserve simply wants more insight and influence over the development of blockchain technology in order to preserve its own influence over the U.S. (and global) monetary and financial system. 

This partnership could be one of many to come, and, it’s unlikely, but possible, that the Fed could partner with more organizations and protocols in the blockchain community, such as Layer-1 and Layer-2 blockchains and DeFi protocols like MakerDAO, creating the potential for a greater degree of monetary decentralization. 

FedNow’s Partnership With Ripple And Volante: Could It Boost Ripple’s Popularity? 

Flowchart describing Volante and Ripple’s interbank transfer system. Source: Twitter/X: BankXRP

While Ripple’s partnership with FedNow runs deep, there’s actually a third party that is also involved in the partnership– the software company Volante. Volante is a major client and partner of FedNow, and has also significantly contributed to the development of FedNow’s technological infrastructure. Some believe that this partnership is further good news for the Ripple ecosystem, and could give an additional boost to XRP prices, particularly if Ripple wins its lawsuit with the SEC. 

FedNow vs. Ripple: Are They Competitors? 

While it’s true that FedNow and Ripple have a strong partnership, some see the two entities as competitors, rather than partners, and this concept may have some degree of truth. While Ripple may be integrated into the FedNow network, both FedNow and Ripple are fast, low-cost, interbank financial transfer networks, and they may be competing for market share. 

In a contest between the two, FedNow has certain advantages, as it is backed by what many consider the most influential financial institution in the world, giving it significant power when it comes to shaping regulations that could benefit the growth of the FedNow network. 

However, Ripple has its own set of advantages over FedNow. For one, as a private, semi-decentralized enterprise, Ripple may be able to move much faster, creating better and more innovative financial solutions than the Fed, which could be tied down by the same regulations that it hopes to influence. Plus, Ripple might be trusted more than the Federal Reserve, an institution that some believe has misused its power in a variety of ways. In addition, FedNow’s focus is mainly on U.S. interbank and financial services transfer, while Ripple has partnerships all around the world, which could give it an edge when it comes to overall adoption. 

Finally, Ripple may be seen as a more private option than FedNow, as using FedNow directly gives a government organization both power and detailed information about financial transactions, information that some institutions would rather remain somewhat more private. 

Could Ripple’s FedNow Partnership Impact Its Lawsuit With The SEC? 

In addition to furthering Ripple’s profile, Ripple’s FedNow partnership could potentially influence the result of its lawsuit with the SEC. While the Federal Reserve is not a judicial enforcement agency and has no direct control or authority over the SEC, it’s still a very powerful organization– meaning that it could exercise some degree of subtle influence over the intensity of the SEC’s legal battle against Ripple. 

Plus, the Federal Reserve is highly unlikely to initiate a major partnership with an organization that it believes is likely to be shut down (or severely impacted) by government judicial action. This means that insiders at the Fed might know something the public doesn’t know about the inside details of Ripple’s lawsuit with the SEC. Therefore, theoretically, it could have evidence or information to suggest that Ripple will win, rather than lose, its lawsuit. 

In Conclusion: Ripple’s Partnership With FedNow Bodes Well For Ripple, But The Final Outcome Is Still Unclear 

FedNow’s close partnership with Ripple has likely helped the Federal Reserve develop its financial transfer technology significantly faster, with a higher degree of interoperability and security than it would have been able to create on its own. This is perhaps the biggest incentive for the Fed to continue its partnership with Ripple, despite the controversy surrounding Ripple’s legal battle with the SEC. For Ripple, the FedNow partnership is a major boon and has likely helped sustain the price of XRP during challenging market conditions. If the partnership continues to expand, and Ripple emerges victorious from its lawsuit, Ripple could gain increasing influence as a major player in the global financial system.  

References: 

  1. (Jun. 2023) Organizations Certified as Ready for the FedNow® ServiceThe Federal Reserve. 
  2. Dzhondzhorov, D. (Sep. 2023) Ripple v. SEC Lawsuit Important Update: Sep 26thCryptoPotato. 
  3. (Sep. 2023) Is the FedNow Service replacing cash? Is it a central bank digital currency? The Board of Governors of the Federal Reserve System. 
  4. Frankenfeld, J. (Jul. 2023) Ripple DefinitionInvestopedia. 
  5. Smith, M. SWIFT Transfers explained (Everything you need to know!) Key Currency. 
  6. Duggan, W. (Jul. 2023) Ripple (XRP) DefinitionUS News and World Report. 
  7. (Jul. 2023) Biggest Ripple Partnerships – How XRP Revolutionized the Blockchain IndustryCoindoo. 
  8. (Mar. 2021) Blockchain firm Ripple to end partnership with MoneyGramReuters. 
  9. Smith, A. (Oct. 2022) Ripple’s now owns less than 50% of XRP crypto and operates just 4 of the 130 validator nodesThe Coin Republic. 
  10. (Sep. 2022) Sephton, C. Revealed: How Much ETH is Owned By the Ethereum FoundationCoinMarketCap
  11. (Jul. 2023) Ripple Partner Volante To Take FedNow Cross-Border After Regulation, XRP To $1? CoinGape. 
  12. Ngetich, D. (Feb. 2022) US Fed To Launch FedNow In July, Countering Ripple? NewsBTC. 
  13. (Jul. 2023) What Is the Fed’s Relationship to Ripple’s Victory? Altcoinbuzz.

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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.
 
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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.
 
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:
  • Warehouse robots contribute operational data.
  • 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.

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