In this thought-provoking article, the author explains their bold decision to quit a coveted FAANG machine learning engineering role, convinced that their job will be automated by the end of 2025. Reflecting on a rapid industry transformation—from the days of methodically completing Jira tickets to a future where coding, debugging, and even context management can be handled by advanced AI agents—the author argues that mundane engineering tasks will soon be entirely automated. They note, "I'm now convinced that my former job there will be obsolete by the end of the year," underscoring a palpable shift where human engineers might be relegated to roles as infrastructure janitors or product managers for AI systems. In light of this, the author sees more potential for human value in roles requiring uniquely human traits, such as sales or creative problem-solving, and is pivoting to a new career that involves connecting people with great AI products.

Key points:

• The job landscape in FAANG and similar tech companies is rapidly shifting due to AI automation.
• Routine engineering tasks—writing code, debugging, and maintaining context—are increasingly being done by advanced coding agents.
• The cost efficiency of automated coding, both per line and per debugging hour, is driving companies to favor AI over human labor.
• The author reflects on their past role and experiences, noting how the model of tackling micro-tasks (Jira tickets) is becoming a relic.
• With AI taking over technical duties, roles may shift to “AI agent wranglers” or infrastructure managers—positions the author finds unappealing.
• The article emphasizes that, "the intelligence part of the job that's most directly in the line of fire for automation" represents a key vulnerability for traditional engineering roles.
• As a result, the author is transitioning to a career focused on discussing and promoting innovative AI products, highlighting opportunities where human interaction and judgment remain invaluable.
  Link to Article