New reports reviewed by The News Chronicle show that artificial intelligence is neither a clear benefit nor a clear threat to students and young professionals entering the tech industry.
The outcome depends heavily on how companies and individuals choose to use the technology.
During a CNBC Innovation Lab discussion, hosts Jon Fortt and Brandon Gomez joined economics reporter Steve Liesman and Sharon Goldman of Ground Level AI to debate AI’s impact on jobs. The panel pointed to a growing divide between anxious new graduates and firms already benefiting from AI adoption.
Liesman argued that the economy behaves like a “blob” rather than a fixed pie. In his view, AI eliminates specific tasks rather than entire jobs, and past technological shifts show that displaced work tends to be replaced by new categories of work over time. The panel agreed that judgment, mentorship, and human service skills remain valuable no matter how AI adoption unfolds.
The panel also noted that “learn to code,” long considered a dependable path into the tech industry, is now being questioned.
Separate reporting by Business Insider’s Amanda Hoover found that companies are struggling to measure employee AI use. Leaderboards ranking staff by AI output have fallen out of favor. When asked what they value most in this environment, many executives cited a specific trait: an employee who can teach colleagues to use AI tools effectively.
This detail matters for young professionals, since it rewards a skill that does not depend on years of experience.
Workplace analytics firm ActivTrak found that productivity and healthy utilization peak when AI assists with individual tasks, not when it is fully utilized across an entire workflow. Companies that adopt AI too deeply without redesigning their processes risk creating patterns that are costly and difficult to reverse.
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A related study found that productivity gains were strongest when employees used AI to complete routine tasks and then checked the results themselves, rather than relying on AI for the full task from start to finish. Full automation carried hidden costs, while a mix of automation and human oversight produced better results.
None of the reports supports a simple verdict that AI helps or harms students and young professionals as a group. The advantage goes to those who use AI for specific, validated tasks and pair it with human judgment, and the risk falls on those who enter workplaces still experimenting with AI policy, or who rely on AI as a substitute for developing core skills rather than a tool alongside them.
