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Key Takeaways AI excels at tasks that are repetitive, data-intensive and rule-based — and unlike human employees, it doesn’t get tired, won’t need time off and can process vast amounts of information extraordinarily quickly.
Humans continue to excel in areas where judgment and relationships matter more than speed. For example, when a customer is upset, AI can suggest scripted responses, but a skilled support agent recognizes the emotional subtext and knows when to bend the rules to preserve the relationship.
AI tools can speed up processes, but the trick is to hire people who are willing to oversee their output, rather than cede control.
AI is getting smarter. Within the last year, the technology has gone from the equivalent of “the world’s greatest intern” to, in some cases, a fully functional member of the team.
Duolingo announced that the language learning app would be phasing out contractors doing work AI can handle. Tobias Lütke, CEO of the ecommerce platform Shopify, wrote that before teams request to hire or use additional resources, they must first “demonstrate why they cannot get what they want done using AI.”
This begs an important question: When is it appropriate to rely on AI, and when do you need a living, breathing human?
Identifying where AI shines
Put simply, AI excels at tasks that are repetitive, data-intensive and rule-based. Unlike human employees, it doesn’t get tired, won’t need time off and can process vast amounts of information extraordinarily quickly.
Content generation is a prime example. Laborious first drafts that used to take hours can be churned out in minutes. Customer service chatbots can handle routine inquiries 24/7, freeing human agents to tackle more complex issues. Data analysis that once took days now happens in minutes, surfacing patterns and insights that might otherwise have been missed.
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