WASHINGTON: When Eric Lauer needs to hire at Giftory, the online gift-giving platform he runs, he’s no longer looking for eager young coders fresh out of college.
He wants “mid-career people who are lazy in a smart way” – experienced developers he calls architects who know how to wield AI coding tools to multiply their output rather than write every line from scratch.
“To be an architect, you need that previous world experience, and you need to know all the workflows,” Lauer told AFP.
Candidates with “no knowledge whatsoever of the workflows” are “a lot less appealing for an organisation like ours.”
It is a calculus playing out across the tech industry as a new generation of AI-powered coding assistants transforms how software gets built.
Companies using tools like Anthropic’s Claude Code are letting small teams build products that once required far larger workforces, but also squeezing out the entry-level jobs that young programmers have relied on to launch their careers.
These programs – which also include OpenAI’s Codex – have completely flipped the script on programming, turning coders from line-by-line typists into “project managers” who can use AI to instantly write, test and fix software with just a simple text prompt.
The switch to AI coding is undeniable. Among developers at small startups surveyed by the industry newsletter The Pragmatic Engineer, 75% reported using Claude Code.
A quarter of startups in Y Combinator’s Winter 2025 batch were built on code that was 95% AI-generated, according to managing partner Jared Friedman.
Lauer said Giftory’s roughly 30 employees get a premium AI subscription costing about US$200 (RM814) a month – “peanuts” stacked against an average salary of US$100,000 a year, and cheap enough to make offshoring “uncompetitive.”
Haitham Mengad, co-founder of Stems Labs, said he took a similar approach.
“We already had a pretty lean team and very talented engineers, so the approach I took was, let’s do more with the people that we have.”
Lindsay Euller, vice-president of customer success at the software company Espresa, said her team’s AI use is saving “millions of dollars a year.”
“I think we’ll get to a point where if I have to request headcount, I’ll be asked, ‘How are you optimizing AI?’” before any new hire is approved, Euller told AFP.
But the efficiency gains reshaping startups are casting a long shadow over the next generation of programmers.
A Stanford Digital Economy Lab study analyzing payroll data from millions of US workers found that employment among 22- to 25-year-olds in occupations most exposed to AI – including software development – declined nearly 20% from a late 2022 peak.
Harvard researchers analyzing resume and job posting data covering some 62 million US workers across 285,000 firms found that junior employment at companies adopting generative AI dropped roughly 9% relative to non-adopters within six quarters – even as senior employment kept rising.
“I think there’s a lot of hesitation in hiring right now,” said Ian Amit, CEO of the cybersecurity startup Gomboc AI.
“I’m hearing of a lot of firms that are interviewing multiple candidates across the board but are not pulling the trigger on actual hiring decisions.”
Not everyone thinks squeezing out juniors is wise.
Amazon Web Services CEO Matt Garman has called the idea of replacing junior developers with AI “one of the dumbest things I’ve ever heard,” warning that the industry risks denying itself the next generation of leaders.
Yet already computer science enrollment has begun to slide – dropping 6% across the University of California system and falling at two-thirds of computing programs nationwide, according to the Computing Research Association.
