Google just let AI decide if your job should exist

What happened

Leaked internal documents and employee accounts indicate Google has introduced an "Ask AI" step at the beginning of its hiring process. Before a manager can post a new job, they must submit a description of the role to an internal AI tool, powered by Google's large language models. This tool then evaluates the proposed job's tasks.

If the AI determines automation can handle the majority of the role's duties, it recommends against hiring a human. While managers can push back, they must provide a formal written justification explaining why a human would offer value that AI cannot, citing factors like creativity, relationships, judgment, or legal nuance. Without a compelling justification, the position may not be approved.

Roles identified as being flagged by this system include operations, customer support, basic marketing content, routine data work, and entry-level software implementation. These are common job types held by millions of individuals. Google has not made a formal public announcement regarding this internal process.

Why it matters

This development signifies a substantial shift in the employment landscape, moving beyond AI merely scoring resumes to AI determining if a job should exist at all. Google's internal practices often influence other major corporations and startups. If Google formalizes such a system, other companies selling AI for headcount reduction may face pressure from their boards to implement similar internal efficiency measures.

For job seekers, this creates a new barrier: roles they might have applied for may never be posted. An AI's assessment could prevent the creation of positions in fields like marketing or customer support, particularly affecting younger workers or those earlier in their careers who disproportionately hold entry-level and routine digital jobs. LaborTech researchers note this fundamentally alters the power dynamic in hiring.

This system places the burden of proof on human managers to demonstrate unique value, which could have broad implications for how companies structure teams and define roles. It signals a future where the default assumption for many tasks may be automation, requiring a conscious, documented decision to involve human labor. Regulators in the US and Europe are expected to monitor these types of developments closely, especially concerning fairness and access to employment.

What to watch next

• Will Google formally acknowledge or deny the "Ask AI" system, and if so, what details will they provide about its implementation?
• How will other major technology companies or large enterprises respond to Google's reported internal practices regarding AI and job creation?
• What data will emerge regarding the types of roles most frequently flagged by such systems, and will there be demographic analyses of who is impacted?
• How will labor organizations or regulatory bodies in the US and Europe begin to address AI's role in job creation and the potential for algorithmic bias?
• Will a market emerge for tools or consultants specifically designed to help managers craft AI-resistant job justifications?

What this means for you

Business leaders and operators must proactively audit existing roles and future hiring needs through an AI lens. Identify tasks within your organization that are highly repeatable, routine, or data-driven. Understand that these are the first areas where AI-driven efficiency initiatives will likely focus, potentially preventing new human roles from being created or prompting restructuring of existing ones. Prioritize developing and articulating the uniquely human value proposition for every position, emphasizing aspects like complex judgment, relationship building, creative problem-solving, and risk identification that current AI models struggle with.

Furthermore, integrate AI as a collaborative tool within your teams, rather than just an efficiency driver. Encourage employees to become proficient in using AI to augment their capabilities, delivering better results and greater output than either a human or AI could achieve alone. This shift positions individuals and teams as indispensable collaborators with AI, rather than as roles that could be replaced by it. Stay alert for internal communications regarding "AI efficiency," "headcount optimization," or "AI-first operations," and engage early to shape implementation, ensuring human expertise remains central to critical decision-making.

Key takeaways

• Google is reportedly using an internal AI tool to decide if new human jobs should be created.
• This system forces managers to justify hiring humans for roles the AI identifies as automatable.
• The burden of proof has shifted to demonstrate unique human value over automation.
• Roles affected include common positions like customer support and entry-level marketing.
• Individuals should audit their own work, focusing on uniquely human skills and AI collaboration.

How is Google using AI in its hiring process?

Google is reportedly piloting an "Ask AI" step at the very beginning of its hiring process. Before a new job is posted, managers submit a role description to an internal AI tool, powered by Google's large language models. This tool evaluates the proposed job's tasks and recommends whether a human should be hired, often defaulting against human hiring if the tasks appear automatable.

What kinds of jobs are being flagged by Google's AI system?

The "Ask AI" system reportedly flags roles such as operations, customer support, basic marketing content creation, routine data work, and certain entry-level software implementation positions. These are common job types held by millions of people. If the AI suggests these roles are automatable, managers must formally justify hiring a human.

What is the impact of Google's new AI-driven hiring approach on job creation?

This approach could prevent new jobs from being created if an AI determines the tasks are automatable. Instead of AI just screening candidates, it is now influencing whether a human role is deemed necessary at all. This shifts the burden of proof onto managers to argue for human employment, potentially affecting entry-level workers and those in routine digital roles.

What should individuals do in response to AI potentially deciding if their job should exist?

Individuals should audit their current roles to identify tasks that are repeatable or routine, as these are most susceptible to automation. The focus should shift to developing and highlighting uniquely human skills like complex judgment, relationship building, creativity, and risk assessment. Additionally, learning to collaborate with AI tools to enhance productivity and outcomes makes an individual more valuable and less replaceable.