Brian Chesky just dropped a number that should make every corporate executive sit up straight.
During Airbnb's quarterly earnings call on May 7, 2026, the CEO revealed that nearly 60% of the code produced by his engineers in the last quarter was written by artificial intelligence.
"That means our teams are shipping more features and iterating more quickly," Chesky said, almost casually.
But the real headline wasn't about the code. It was about who's next.
Because the same technology that's writing software is now coming for the people who manage the people who used to write software. And Chesky - along with a growing chorus of tech CEOs - is being brutally honest about what that means.
What Airbnb Actually Said
Let me walk you through the key numbers from the earnings call, because they paint a vivid picture of where things are headed.
First, the productivity leap. Chesky explained that AI gives his teams what he called "huge leverage." Where you might have needed a team of 20 engineers before, an engineer can now spin up AI agents to do a lot of the work under supervision. This isn't about replacing people - yet. It's about doing more with the same headcount. Much more.
Second, AI is good at the boring stuff. Airbnb has been quietly expanding its use of AI for customer support over the past year. Its AI support bot now resolves 40% of customer issues without passing them to a human, up from roughly 33% earlier in the year. Read that again. Four out of ten customer complaints are now handled entirely by a machine.
Third, the code quality is real. This isn't a gimmick. Leading companies across the tech industry are reporting similar numbers. Shopify's president said last week that 50% of its code is AI-generated. Google's figure has reached 75%. And Spotify has acknowledged that its best developers haven't written a line of code in months.
The question is no longer whether AI can write code. The question is whether human managers still have a job once the code writes itself.
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The Brutal Truth About Managers
Chesky didn't dance around this. In a separate interview on the "Invest Like The Best" podcast, he named the two types of people who "will not survive the age of AI".
First, "pure people managers." Chesky described them as managers who only manage people - who spend their days in meetings, one-on-ones, and performance reviews, but never touch the actual work. He warned that "people managers will have no value in the future" if all they do is supervise.
Second, rigid workers. Employees who refuse to change, who resist learning new tools, who insist that the old way is the only way - they won't make the shift either.
But here's the nuance that separates Chesky from the doomsayers. He's not saying managers are obsolete. He's saying that managers who can't code - or won't learn - are obsolete.
"I'm seeing, like many of our design managers and engineering managers, going back to coding or using Claude Code," Chesky said on the earnings call.
Think about what that means. A design manager - someone who used to approve mockups and attend stakeholder meetings - is now expected to write code or use AI tools. The era of the "hands-off" manager is ending. The era of the "player-coach" is beginning.
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The Wider Tech Industry Is Already Moving
Airbnb isn't alone in this thinking. The trend across Silicon Valley is unmistakable.
Coinbase just announced it would cut its workforce by 14% and flatten its organizational structure to "5 layers max below CEO/COO". CEO Brian Armstrong said the company was removing "pure manager" roles entirely.
McKinsey & Company, the consulting giant, has been telling its clients to use AI agents to streamline operations and reduce the need for managers.
Block CEO Jack Dorsey has long argued against permanent middle-management structures, and Meta has spent years trimming management layers to speed up decision-making.
The pattern is consistent. AI is increasingly capable of handling reporting, scheduling, tracking performance, and analyzing data - tasks that once required layers of middle management. The companies that recognize this are flattening their hierarchies now, not waiting for a crisis to force their hand.
Chesky himself stopped short of announcing any specific management cuts at Airbnb, saying it was "way too early to say" what the implications would be for team structures. But his body language - and his public warnings - tell a different story.
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What This Means for Indian IT Professionals
Let me bring this conversation home.
India's $224 billion IT services industry faces a moment of truth. According to a NIIT position paper released in early 2026, 55% of surveyed Indian IT organizations reported a decrease in entry-level hiring over the past 24 months. At the same time, demand for AI-specific roles has exploded - 145% for AI engineers, 234% for AI risk specialists, 186% for NLP engineers.
The old model - hiring thousands of fresh graduates, training them on the job, and billing by the hour - is cracking. AI tools can now do 90% of standardized coding and testing work. The industry is shifting from billing by the hour to billing for outcomes.
But here's the part that doesn't make the scary headlines. Former Infosys CFO Mohandas Pai has pushed back against the idea of an AI-driven "SaaSpocalypse," pointing out that $20–25 trillion worth of legacy software is embedded in global enterprises. That software cannot be replaced or automated away overnight. AI can assist in writing new code, but it struggles with complex, decades-old legacy systems.
The real shift, according to industry veterans, is not the elimination of Indian IT but its transformation. The industry will need fewer junior coders and more architects, domain specialists, and AI orchestrators. The workforce structure is moving from a pyramid (many juniors, few seniors) to a diamond shape (fewer entry-level roles, more mid-level and specialized roles).
The question for Indian tech professionals is not "Will I have a job?" It's "Will my skills match the new job?"
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Who Thrives and Who Fades
Let me break down the two paths.
The fading roles:
- Entry-level coders who only know syntax, not systems
- Manual QA testers
- L1 help desk engineers
- "Pure" project managers who track tickets but don't understand the technology
The thriving roles:
- AI engineers and ML specialists (demand up 145%)
- AI risk and governance specialists (demand up 234%)
- Solution architects who understand both business and technology
- Managers who can code, review AI outputs, and lead teams through uncertainty
As one industry expert put it: "We're no longer hiring for task execution. We're hiring for problem framing, adaptability, and the ability to learn new systems at velocity".
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The Bottom Line
Airbnb's announcement is not a freak event. It's a signal.
The CEO of a major technology company just admitted that more than half of his company's code is written by AI - and that managers who can't get their hands dirty will not survive. Google is at 75%. Shopify is at 50%. Coinbase is flattening its entire organization.
The question is not whether this will reach India. The question is whether Indian IT professionals will adapt before it arrives.
Chesky offered one final piece of advice that applies as much to a developer in Bengaluru as to a manager in San Francisco. He said it's "incredibly easy to master the tools and keep up with the times, so long as professionals have a growth mindset".
The code-writing robot isn't going away. But neither is the need for humans who can tell it what to write - and catch it when it's wrong.
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FAQ
Q: Should Indian IT professionals be worried about job security?
A: Worried? Yes. Paralyzed? No. The nature of work is changing, not disappearing. The demand for AI-specific roles has surged by more than 100% across key categories. The professionals who will struggle are those who refuse to learn new skills.
Q: Will AI completely replace human programmers?
A: Not in the foreseeable future. AI generates code, but humans are still needed to architect systems, understand business requirements, review outputs, and fix the inevitable errors. The role is shifting from "writer" to "orchestrator."
Q: What skills should I learn to stay relevant?
A: AI engineering, prompt engineering, system architecture, AI governance, and risk management. Also - critically - learn to use AI tools like Claude Code or GitHub Copilot. Familiarity with these tools is becoming table stakes.
Q: Is Airbnb planning to fire its managers?
A: Chesky has not announced specific cuts, but his warnings are clear. Managers who only manage people - without contributing to the actual work - are at risk. The company is likely evolving toward flatter structures with "player-coach" managers.
Tags: Airbnb AI, AI Coding, Future of Work, Middle Managers, Indian IT, Job Automation
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