This lecture was organized as the first class of this year for the AI joint program between SKT and Seoul National University, which has been operated for ten years.

CEO Jung took the podium at his alma mater for the first time in approximately 40 years since entering Seoul National University's Department of Public Law in 1987.

CEO Jung introduced the 'AX's J-Curve' concept that SKT directly derived from its AI transformation process.

In the early stages of AI adoption, productivity actually declines due to retraining, business process redesign, and data refinement, but organizations that endure this stagnation period subsequently show a steep upward curve.

He stated, "If organizations turn back before the valley of inconvenience, they remain forever on the left side of the curve, but those that endure it eventually bend upward in a J-shape at some point."

'Seeing things unfamiliarly' is the mindset of questioning the premises of existing work and redesigning them on an AI basis, while 'confronting extremes' means challenging goals that cannot be achieved through existing methods.

SKT's development of its proprietary AI model A.X K2 with 688 billion parameters in a limited GPU environment was cited as an example.

Regarding 'embracing inconvenience,' he presented an internal SKT case.

When the system modification work that previously took 50 hours was converted to AI, it initially required over 500 hours, but after repeated verification, it has now been shortened to 1 hour.

CEO Jung emphasized that human-unique competencies become the condition for talent, rather than coding skills.

Citing the 'four qualifications for talent in the AI era' presented by SK Group Chairman Chey Tae-won, he explained that △the 'thinking muscle' that pierces the essence △the 'adaptation muscle' that learns anew from failure △the 'empathy muscle' that AI finds difficult to possess △and 'body intelligence' that converts embodied experience into value are necessary.

He also advised developing domain-specific expertise, enhancing productivity through convergence with AI, and cultivating the ability to connect technology, industry, and people.