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But is replacing humans with AIemployeesa genius business move, or akin to hiring unpredictable interns?
Instead, they introduce their own unique challenges that can be just as disruptive for employers.
Founder and CTO of Enate.
The promise of 24/7 availability isn’t entirely true if there are issues in theinfrastructure.
AI models need to be regularly updated to avoid deteriorating in accuracy, leading to outdated or incorrect outputs.
Just like human immunity, different AI models vary in their robustness against bugs.
Monthly pay vs.
Updates
Its a common misconception that AI is a pay-once, use forever deal.
This ongoing investment could be the same as providing pay raises or professional development for human employees.
The more complex a model is, the more data it requires.
For example, some models may need at least 10 million labelled items.
Poor data input means poor data output.
Just like human development, training AI needs to be done regularly and consistently to get the best results.
This means regular audits, governance, and retraining.
So, whats the verdict?
The truth is, it’s not about choosing whether AI or human employees are better for a business.
Instead, the real power comes by harnessing both.
Together, they can drive innovation, boost productivity, and propel businesses towards long-term sustainable success.
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The views expressed here are those of the author and are not necessarily those of TechRadarPro or Future plc.
