LinkedIn CEO: AI Automates Routine Tasks

LinkedIn CEO Ryan Roslansky argues AI automates routine tasks, freeing time for human judgment, compounding skills, and new roles. He recommends organizing around work, building AI fluency, fostering agency, and preparing for rapid skill shifts as careers evolve in an AI-driven workplace.

LinkedIn CEO Ryan Roslansky’s new book Open to Work reframes careers around skills and human judgment. He argues AI will automate routine tasks, freeing time for higher-order decision making.

Main feature/change and impact

Roslansky identifies three task buckets: fully automatable tasks, tasks done with AI, and uniquely human tasks. This model clarifies where skills will compound versus decay. Organizations must prioritize training for tool fluency and judgment skills. The shift reduces role rigidity and accelerates cross-functional work, changing hiring signals and team composition.

Practical implications

Workers should map jobs to task types and invest accordingly. Learn AI tool workflows for immediate effectiveness. Build communication, judgment, and synthesis abilities for long-term resilience. Employers should redesign roles around work, not titles, and recruit for demonstrated tool-driven outcomes. Short learning cycles and internal mobility become strategic advantages.

“Everybody’s job is a set of skills and tasks.”

Roslansky’s evidence comes from LinkedIn’s 1.3 billion-member data and observed job shifts. He reports a 25 percent change in job skills since 2015 and projects up to 70 percent change by 2030. He also notes net growth in AI-related roles since 2023. Closing paragraph: The practical next step is explicit task inventories, workforce reskilling, and work-centered org design. Measure outcomes by task completion and skill adoption, not just titles. Organizations and professionals who act now will retain agility as AI reshapes work.

Key points from the article:

AI automates routine tasks, shifting work toward judgment and creativity.

Skills combining AI fluency and human judgment compound over time.

Organize teams around work outcomes, not traditional org charts.

Early AI adopters gain agency and greater career flexibility.

AI adoption is driving net creation of new, AI-related roles.

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From the Source

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