

Artificial intelligence has rapidly evolved from an alternative learning tool in the classroom to a major influence on how educational institutions now teach and assess. While AI offers benefits such as personalized education, faster assessments, and scalable testing, it also raises important questions about academic integrity, equity, and skill development.
In the recent podcast episode of Analytics Insight, host Priya Dialani speaks to Manish Mohta, Managing Director of Learning Spiral Pvt Ltd, discussing the current market scenario. The expert voice on the episode argues that AI itself is not the threat to education. “The real risk comes from weak processes,” Manish mentioned, adding, “When AI is embedded within strong academic frameworks, it can reinforce integrity rather than undermine it.”
While misuse of more accessible technologies, such as essay-writing software and solver tools, is bound to occur, the Learning Spiral Pvt Ltd MD compares the current situation to technological advancements, such as calculators and computers, which were first rejected but later changed what was assessed in education. According to Manish, the need is to shift attention from policing technologies to the assessment of intelligence, judgment, and originality.
One of the most enduring issues in the education space has been protracted evaluation cycles. The slow delivery of results impacts learning and affects the academic calendar of institutions. AI-driven evaluation platforms developed and deployed by Learning Spiral have assisted some examination boards in India. The initiative has reduced result reporting times from several months to a mere few days.
Contrary to common perceptions, the strategic voice strongly believes that artificial intelligence can close rather than widen the gaps that exist in education today. Penetration is widespread now, so online testing is much more easily accessible than many other systems that require infrastructure. AI-based testing can level the playing field even for geographies and socio-economic groups.
Looking ahead, Manish stresses that the future of education is about competency-based evaluation. Logical reasoning, analytical skills, creativity, and ethics will be much more important than just right answers. “It is pointless to resist AI,” the guest speaker concludes. “The institutions that redesign learning around human intelligence will shape the future of education.”