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Elon Musk & The Transformation of Twitter: By Citizen Of The Future
April 12, 2023
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The New-Era Bird App is Fulfilling X.com’s Original Vision

Over the last couple of months, there has been much talk about Elon Musk's acquisition of Twitter and the hate narrative that has emerged in mainstream media. This tells us that there is resistance to change and a desire to maintain the status quo in the financial world.  However, change is inevitable, and the rise of decentralized networks & Truth Twitter applies to that

In this report we will delve into X.com and the prior discussions of decentralized trust networks around 2012 and how they are transforming the way we communicate and handle money. We will also review other articles from that time period to try and gain insights into the future of social media and the financial system. This research took me about 25 hours to put together so I hope you enjoy an exclusive reveal of the following content: 

  • What Elon Musk is planning with Twitter infrastructure and his X.com Domain, and paths for the future of Twitter 2.0

  • Results of backlink analysis from X.com and the uncovering of documents that haven’t been shown on mainstream internet since 2012, which showcase some of the original vision of  X.com 

  • Comparisons of Facebook & Twitter users from A Decade of Growth- 2012 to 2022 

  • An article showing how Ripple Trust Networks were an early discussion point from X.com and how they how they are Transforming Money, which lead me to find Ryan Frogger’s original Ripple website which dated back to 2006

  • Snippets from articles relating to X.com in 2012 discussing how The future of money is the Web, towards national cryptocurrencies, and what would happen if social media and payments merge and we discover a new payments utopia - and much more…

Elon Musk & the Twitter Acquisition

Let’s begin with Elon’s acquisition of Twitter that started on April 14 2022, and concluded on October 27 2022, for a price of $44 billion dollars. He has now taken Twitter from a public offering to a private company. Within the first month of his takeover, he provided the Twitter employees with two choices

1. Stick around and help build his vision of “Hardcore Twitter 2.0” and that employees who choose to stay will be required to commit to working “long hours at high intensity”.

2. Say goodbye and accept a layoff. This decision allowed him to trim the fat at the company, which led to laying off over 3700 employees, leaving him with ones dedicated to bringing his vision of Twitter 2.0 to life. 

In conversation with Ron Baron in Nov 2022, Musk said he will execute the X product plan “with some improvements”, which will make Twitter “the most valuable financial institution in the world” with his domain of X.com.

The Start to the End of an Era of Censored Speech

We all know the feeling of being censored and not having our voices heard. We all have opinions, and we should be able to share them regardless of whether they are deemed appropriate by others. 

We have witnessed ample censorship on social media platforms. On Facebook, mainstream media outlets disable citizens from commenting on specific stories such as the Maxwell and Epstein articles. Why can’t citizens freely discuss the mainstream news articles? Why do they get to control what the masses can have conversations about when it comes to their content?

The old Twitter - pre-Elon Musk - did not have an edit button and it would censor citizens who did not fit the mainstream narrative. It is great to see some of the previously censored individuals get their voices back, allowing for a neutral town hall where all opinions can be heard and challenged.

Twitter Censored Information Around Leaked Hunter Biden laptop

If you want to learn about how extensively that Twitter manipulated content, please check out the newly released December 2nd 2022 “Twitter Files” that tell an incredible story from the inside of Twitter. It shows the Frankenstein-tale of a human-built mechanism, grown out of the control of its designer.

This story shows the old Twitter wasn’t balanced. Decisions were made based on contacts, and Twitter was overwhelmingly staffed by people of one political orientation. There were more channels for complaint open to the left-leaning individuals versus the right. With the proof from the Twitter Files, it was shown how Twitter took extraordinary steps to suppress the Hunter Biden laptop story by removing links and posting warnings that the link may be ‘unsafe’. They even blocked its transmission via direct message, a tool hitherto reserved for extreme cases. This was all done to prevent citizens from viewing the content involved with the leaked information on Hunter Biden’s laptop right before the 2020 Election.

Note:  Since the time of writing there are now two more Twitter Files:  #TwitterFiles2 #TwitterFiles3

Twitter 2.0 - The Bird App is Evolving & Obtaining a Money License

Twitter has started the registration procedure for processing payments by submitting documentation to the Financial Crimes Enforcement Network (FinCEN) on Nov 3, 2022.

Businesses must register with FinCEN in order to make money transfers, swap currencies, or pay checks. This will end up creating a never before seen “payments utopia'' by combining social media with instant and cheap cross-border payments. I think this is the start to major cryptocurrency adoption for specific networks with real-world utility.

Shoutout to Citizen @ChrisPaulHall on Twitter for sending this document my way!

A Blast From the Past! A Review of Documents Hidden From the Internet for over 10 years - X.Com Research Results…

Currently, when you go to X.com there is nothing to see as nothing on the website is public. Many people would just give up and move on, but I used this as motivation to dig deeper. I used my skill set of backlink analysis and started researching the domain of X.com to see what websites were linking to this domain. I found there were 2.1 million backlinks on the internet that point to X.com

**A backlink is when a website links to another website in a piece of content, “A link leading back to their website”.**

With this ocean of information connecting to X.com, I spent hours digging through 25,000 links and seeing what I could find on this untouched topic.  Out of the top 11 out of 25,000 backlinks I analyzed that are linked to X.com, these were the most important links that I found:

While researching, I was shocked at being able to gain access to these documents that have been buried & deleted from the internet - thank God for the great Web Archive!  It's mind blowing to think about the fact that these articles were all written between 2010 - 2014 before PayPal became an independent, publicly traded company

Please enjoy the following article summaries and the video above accompanying my research.  

“How Ripple Networks are Transforming Money” | X.com

April 20, 2012 by Manu Sporny

As I was digging through my internet history from 10 years ago, I came across an article that caught my attention. The article was written by Manu Sporny for X.commerce, the e-commerce platform that was being developed by eBay.

In the article, Sporny discusses and explains a concept called Ripple Trust Networks, a decentralized network of payment channels that enables real-time, low-cost transactions between parties. He states it has the potential to greatly reduce the costs and complexities of cross-border payments compared to the expensive and slow correspondent banking system.

He also suggests that the use of the ripple network concept in a decentralized setting would have significant economic implications. This would shift tens of billions of dollars in profit from credit card companies to individuals. Individuals would be able to make payments directly with each other without needing to go through a central intermediary like a credit card company.

Furthermore, he suggests that the ripple network would reduce the cost of short-term loans by providing a highly competitive market in which people could request and receive lines of credit. This is because the decentralized nature of the ripple network would allow for a greater number of lenders to participate in the market, increasing competition and driving down interest rates. Overall, he is emphasizing the potential power of decentralized networks like the ripple network and links to a live implementation to the concept he was speaking about. I clicked it and it brought me to one of the first versions of Ripple in 2012 with 4500 network users. Using this link I was able to dig deeper and find the very very first version of the Ripple website dating back to March 2006. This led me to find the initial Ryan Fugger Ripple white paper from 2004

This is the power of the Web—people-powered finance through ripple networks and decentralized payments.”

Additionally, I learned about W3C's Payswarm initiative, which was a proposed open standard for the secure and efficient exchange of digital assets and payments on the web. This initiative was being developed by the World Wide Web Consortium (W3C) Payments Working Group, which aimed to create a technical framework that would enable web-based payment systems to inter-operate seamlessly and securely. But I cant seem to find anything after 2014 so I think it died or had a name change. If you go to https://www.payswarm.com/ it redirects to a W3C Working Group. 

Reading these articles from 10 years ago made me realize just how much progress has been made in the field of digital payments and blockchain technology. It's exciting to see how far we've come and to think about the potential for even further advancements in the future. It's clear that the Ripple Trust Network concept and other W3C Initiatives are transforming the way we think about money and payments, and I'm excited to see where this technology takes us in the next 10 years.

“How Crypto Currencies Transform Money” | X.com

April 27, 2012 by Manu Sporny

This is a very interesting read that provides insight into some high-level thinking of the X/Paypal crew around FIAT & cryptocurrencies back in 2012! The article breaks down the problem with FIAT currencies and how we moved from a silver/gold backing of currency to nothing backing the dollar. It also explains the centralized concept with central banks that control the money printer. 

They state:

“It truly is a remarkable leap of faith that we make. The US dollar has worth because it is backed by the US government and therefore is backed by its people…”

They have a great breakdown of some character traits regarding a “trustworthy cryptocurrency” which can be still used today. They talk about Bitcoin being in the “Tens of Millions of Dollars” – what a throwback! 

The ending of the article talks about moving toward “National Crypto Currencies” that sound like Central Bank Digital Currencies, an innovation that we have been witnessing the adoption of for the last couple of years:

“A fiat-based crypto-currency could operate alongside these other services as an alternative technology-based mechanism for money transmission. The liabilities—like those held by most banks, credit card companies, and money transmission services—would fall squarely on the companies providing the software to use the crypto-currency.”

Manu explains that to replace cash, it is necessary to have open crypto-currency standards, and that developing nations may be the first to make the switch since they are not politically influenced by the banking and finance sector to the degree that more developed nations are (cough in 2022, SEC Gov). Other nations may choose to adopt crypto-currencies in order to increase the efficiency of their market, thus giving them a competitive advantage. 

“Open Web Payment Standards and the New Economy” | X.com

Written May 11, 2012 by Manu Sporny

This article is important, as it talks about “Open Payment Stands” for the Web and how the W3C could open up the “ivory tower of finance and banking” to the general public. Their goal is to create a more transparent, competitive, and fair financial system. They list important things about open payment standards and talk about the world’s first universal payment standard for the Web, which they call a solution called “PaySwarm”. This named solution is no longer around, and I have not figured out what has happened to it yet.

“The Crisis of Money and Its Metamorphosis” | X.com

April 10, 2012 by Manu Sporny

This is a very important article that everyone should read to really get an understanding of cash (FIAT) and the transformation happening with the global monetary system. This article contains a lot of value:

“The past several years have not been kind to the world’s working class and working poor. The foundations on which we have built the institutions of commerce—the markets, the banks, and government—have proven to be less reliable than we had believed, resulting in a wave of monetary crises around the world. Each was met with our brightest national leaders scrambling to correct the instability through obscene injections of capital and massive creations of debt on behalf of the peoples of this world.” 

It talks about being the time to put forth a plan that uses the web, the best communication platform that we have today, to solve our collective monetary crisis. The article then explains the understanding of how we arrived in this predicament and examines the purposes of debt, money, and banking. It goes and talks about debt and the financial system in the early years of global society and how banks have shifted and taken over the economic system. They describe “The Web as an Engine for Innovation” and talk about “Rethinking the Foundations of Money” 

They also talk about “Ripple Trust Networks” powering people's credit.

“The Future Money & The Web” | X.com

May 18, 2012 by Manu Sporny



This is another great informational article where they talk about the concept of “a ripple”, a trust network, and how we could change the way we provide loans and credit - it talks about how cryptocurrencies are poised to replace physical money. He talks about the web as a lifetime depository and how to standardize digital wallet, with it one day coming in place so you can access it from anywhere. 

It also explains how finance is shifting to the web as fintech can innovate faster, using the web base architecture, then traditional banks, and credit card networks. They state in this article, at the time of writing, that there were 2 billion people who use the web. In 2022, there are now around 5 billion people who have access to the web.

“Perhaps the Web’s biggest contribution to our lives has not been the technology itself, but rather a new way of thinking about how we work together to solve the most pressing problems of our time.”

“The Future of Commerce Will Combine Your Social Network and Mobile Device” | X.com

This was from September 21, 2012, written by Nick Hughes. In this article, they discuss:

“If Those Two Powerful Phenomena Merge, Will We Discover a New Payments Utopia?”

They also state:

“Facebook and Twitter, together making up more than a billion socially connected web users, have positioned themselves well for the possible next phase of commerce. Facebook, for instance, recently reported now having 955 million monthly active users and 552 million daily active users. It also said it had 543 million active mobile users, who are much more engaged than its PC users”.

It was also stated that Facebook had over 11 million business profiles! This means in 10 years, as of 2022. 

Facebook has 3 billion monthly users and 2 billion daily users, with over 200 million Facebook business pages. In 2012, Twitter celebrated its 6th birthday while also announcing that it had 140 million users and 340 million tweets per day. Today those numbers are at 450 million monthly active users and around 500 million tweets per day. This article also talks about combining a user ID with a mobile device ID and connecting a secure payment credential, thus having one quick checkout – online or offline

These are the last two important statements I want to point out, then picture what Elon Musk is doing today:

“Now imagine if instant and automatic transactions were coded into those sorts of buttons, allowing the user to transact with a securely stored payment credential on a third-party server in just one click from his or her mobile device.”

 

“If you are developing a mobile payment platform, it only makes sense to consider the imminent power of social sharing and how it will enhance the commerce experience for people around the world.” 

It’s neat to see how social media is exponentially growing and connecting citizens of the globe. I wonder what life is going to look like, reflecting on this, 10 years from now! They also use a great example of “How Facebook Could Transform the Mobile Commerce Market”.

The Bottom Line…

There is now no doubt about it – we are at the start of a new era of payments and social media. This plan has taken over 10 years to come to fruition, and I am so thankful I am doing my homework now, before the transformation has taken place. 

In conclusion, I hope that my research on the connections of the past has provided an interesting and insightful look at the developments that have shaped the current landscape of freedom of speech and payments. As we enter a new era of technology and innovation, it is important to embrace the opportunities and challenges that come with it. The clock is ticking and the whole world is asleep thanks to mainstream media, but it is up to us to awaken and embrace the potential of this moment in time. I hope you have enjoyed reading this edition of the Genfinity's LightHouse Report, and I look forward to sharing more insights and perspectives with you in the future.

Never stop learning and never stop improving! 

Sincerely, 

Citizen of the Future

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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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Will these same companies end up controlling robotics too?
 
It's a valid concern.
 
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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:
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  • Developers contribute models.
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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.
 
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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