KT to Evaluate AI Proficiency in Campus Recruiting, Extending Beyond Development Roles to Sales and NW
IT DAILY ·
✦ AI Summary
KT will introduce AI application capability as a key evaluation factor in its recruitment for new college graduates.
The assessment will not be limited to AI development roles, and will also include network infrastructure operations, B2B consulting, and B2C marketing and sales roles.
KT will look at how applicants use AI to solve real job-related problems, along with job-specific expertise, rather than focusing only on AI-related terminology and technical knowledge.
KT will introduce AI application capability as a key evaluation factor in its recruitment process for new college graduates. The assessment will not be limited to AI development roles; KT defines AI capability not as specialized knowledge for a particular technical job, but as a basic skill common to all employees. Accordingly, the evaluation will include whether candidates can use AI to solve problems in customer- and business-facing roles.
The scope of the assessment will include network infrastructure operations roles. B2B consulting and sales roles are also covered, as are B2C marketing and sales roles. In its campus recruiting, KT is treating AI ability not as the preserve of development roles, but as a capability commonly needed across a range of field-facing positions.
This shift in criteria reflects KT's strategy to become an "AI transformation (AX) platform company." KT's "AI transformation (AX) platform company" strategy has been incorporated into the criteria for selecting new employees.
KT said it will conduct campus recruiting from the 25th through the 7th of next month. There are 3 recruiting categories: network (NW) infrastructure operations, B2B consulting & sales, and B2C marketing & sales.
The 3 areas KT is hiring for this time share a common feature: they are field-facing roles centered on stable network operations, understanding the needs of corporate and individual customers, and making service proposals. In line with that, KT has doubled the scale of this year's campus recruiting from last year in an effort to strengthen its customer-facing and business-frontline workforce base. However, it did not disclose specific hiring numbers.
The defining feature of this hiring round is the evaluation of AI application capability. KT will move beyond checking AI-related terminology and technical knowledge, and instead focus on how candidates use AI in the process of solving real job-related problems.
By area, network infrastructure operations will focus on potential areas where AI can be used, such as analyzing the causes of disruptions and improving operational efficiency. In B2B consulting, AI use was highlighted as important in analyzing corporate customer needs and designing suitable solutions. In B2C marketing, using AI for product and service recommendations based on customer data was cited as an important potential area.
Against the backdrop of generative AI spreading across the workplace, its reach has expanded beyond development and research into everyday corporate functions such as network operations, sales, and marketing. As a result, new job competitiveness is increasingly seen as depending not only on whether a candidate has knowledge of the same job, but also on AI-based information analysis skills and the ability to improve work methods through AI.
Accordingly, KT will avoid evaluating applicants solely on standardized credentials such as academic background and certifications, and will instead verify job-specific expertise and problem-solving ability. KT will also incorporate past situations, assigned roles, and efforts made to solve problems as comprehensive evaluation factors.
KT will use work attitudes based on its core values as evaluation criteria, including whether candidates think from the customer's perspective, respect colleagues, carry out work with a sense of responsibility, and act based on expertise.
KT's goal in expanding recruitment for field-facing roles is to build a workforce base that can connect its AX strategy to customer service and business performance. KT believes it needs talent who can apply their skills to field operations beyond AI development roles, with target areas including network operations, customer consultation, and product proposals.
The company will provide selected new hires with training to improve customer understanding and business understanding, while supporting the systematic accumulation of job expertise. Based on this, it aims to foster talent who can apply AI to work grounded in job expertise, strengthen field problem-solving capabilities, and lead workplace innovation.
Lee Seon-ju, head of KT's Talent Division and an executive vice president, said the company will look at both the expertise needed for the job and the practical ability to use AI at work in this hiring round. He also said KT expects strong interest from talent who want to grow into experts at an AX platform company by building on their field understanding and their own expertise.
Source: IT DAILY · Lee Jae-young
Original: https://www.itdaily.kr/news/articleView.html?idxno=241178
References
This article was produced with the help of an automated content generation algorithm.
Source: IT DAILY
View originalThis article was summarized and organized by BizCrush based on the original article from IT DAILY. For exact quotations and full details, please refer to the original article.