“In the age of AI, what truly matters is the ability to ask questions, analyze inform
“The training system at this time typically emphasizes memorizing details, however within the age of synthetic intelligence, what really issues is the flexibility to ask questions, analyze data, and resolve advanced issues,” mentioned Tomer Simon, Chief Scientist of Microsoft Israel Analysis and Growth. He spoke throughout a podcast as a part of Calcalist’s 2025 Forecasts Convention, held in collaboration with Financial institution Hapoalim and the Phoenix Group, which came about on Tuesday in Tel Aviv.
Because the world races to combine synthetic intelligence into all areas of life, the training system and academia are going through unprecedented challenges and alternatives. “Synthetic intelligence is altering the principles of the sport,” Simon defined. “This expertise not solely supplies solutions but additionally generates new questions. It permits us to rethink how we be taught, what we be taught, and the way we will put together the following technology for a quickly altering world.”
Based on Simon, the affect of AI on training is far-reaching and multidimensional. “On one hand, there’s the pedagogical side: personalizing studying for every pupil utilizing clever techniques that may establish particular person strengths and weaknesses. Alternatively, there’s the infrastructural side: growing progressive platforms that facilitate studying from anyplace and at any time,” he mentioned.
Simon highlighted a big alternative provided by AI: the event of future-ready expertise. “The training system at this time typically focuses on memorizing details,” he reiterated. “However within the age of synthetic intelligence, what’s really crucial is educating college students ask significant questions, analyze advanced data, and resolve difficult issues.”
Nonetheless, the transition to integrating AI into training shouldn’t be with out its challenges. Simon harassed the significance of adapting curricula to align with the brand new actuality. “The tutorial world should ask itself: are we getting ready college students for the world of at this time, or for the world that may exist 5 or ten years from now?”
One of many greatest challenges, he famous, is making certain the relevance of the content material being taught. “Relatively than educating college students use particular software program, we have to concentrate on educating enduring ideas, comparable to crucial considering and collaboration with superior technological techniques,” he mentioned.
Whereas Simon acknowledged the big potential of AI in training, he additionally warned towards its misuse. “Synthetic intelligence can widen present gaps if it isn’t built-in equitably,” he cautioned. “We should be certain that superior expertise is accessible to all college students—not simply those that can afford it.”
He additionally emphasised the crucial function of coaching lecturers on this course of. “No expertise can exchange the instructor, however it might definitely function a strong software of their arms,” Simon mentioned. “Academics have to discover ways to leverage synthetic intelligence to reinforce their educating strategies, slightly than concern it.”
Trying forward, Simon expressed optimism about AI’s potential to rework the training system. “If applied correctly, synthetic intelligence can drive us towards a greater future,” he concluded. “An training system that adapts to the wants of every pupil, fosters expertise for a altering workforce, and makes use of expertise to make data universally accessible is one which’s ready for the twenty first century.”
Simon additionally emphasised the crucial function training and academia will play in shaping the society of tomorrow. “This isn’t nearly expertise,” he acknowledged. “It’s about folks—the lecturers, researchers, and college students—those that imagine within the transformative energy of training to alter the world.”
