Agentic AI in Education: Future of Learning | Magic EdTech
Skip to main content
Blogs - AI for Learning

Transforming Learning: Harnessing AI for Education and Business Success

  • Published on: September 8, 2025
  • Updated on: September 8, 2025
  • Reading Time: 3 mins
  • Views
Authored By:

Kiara Kolaczyk

Marketing Manager

As generative AI transforms education, a new wave is emerging: agentic AI, capable of taking initiative and performing tasks autonomously. In this episode of EdTech Connect: Innovators in Conversation, Acky Kamdar, CEO of Magic EdTech, and Fadl Al Tarzi, CEO of Nexford University, explore how these technologies are shaping the future of learning, human creativity, and the workforce.

 

Experimenting with Agentic AI

Both edtech leaders emphasized experimentation as the key to adoption. Both Acky and Fadl shared that their companies are experimenting with personalized student guidance and dynamic curriculum updates. At Nexford University, AI is helping incoming students navigate programs and degree pathways based on their career goals, prior experience, and informal learning, functioning almost like a personal advisor. Acky highlighted similar initiatives at Magic EdTech, using AI internally for marketing, sales, and recruiting. However, while aware of AI’s potential,  both leaders emphasized the continued importance of human oversight. There is still a “black box” nature associated with generative and agentic AI that needs to maintain quality control.

 

Learning to Coexist with AI

A recurring theme of the conversation was the importance of balancing AI with human judgment and interactions. Acky illustrated this with an example from wealth management where high-net-worth individuals prefer human advisors, while younger generation investors might prefer AI-driven interactions so they don’t have to associate with another human.

Internally, while AI enables teams to automate administrative and repetitive tasks, freeing employees to focus on creative, value-added work. “I want my team to enjoy working with AI,” Acky said. “We don’t want them to become slaves to technology. We want to coexist with it, using it to amplify human potential.” It’s clear that AI is here to stay. While we remain in the experimental phase of AI usage, soon we will be less forgiving of AI errors.

 

AI-Driven Innovation in Education

There is no denying that AI is here to stay, and with President Trump’s green light, both leaders noted that AI can level the playing field, opening new possibilities for learners and educators alike:

Fadl expressed that traditional higher education pedagogy often lacks widespread creativity and is therefore slow to new workflow adoption. This results in students already behind the curve for workforce preparedness and therefore, not as competitive when applying to jobs post-graduation. With AI, universities can explore personalized learning at scale, catering to individual needs and outcomes, so their students are more competitive and stand out in the job market.

Acky elaborated on this point by noting that AI can unlock human potential. AI helps enable learners to pursue skills or careers they might have felt incapable of tackling before. For example, a student who once struggled with creative writing can now use AI tools to explore the writing process or even use AI to coach them.

 A college student working on a laptop in a library setting, representing the use of AI for education.

 

Becoming AI-First and Future Implications

In the news, more and more companies are branding themselves as “AI-first.” This is due to both a strategic and existential imperative. AI is a force that we cannot ignore. Organizations must begin to integrate AI to remain competitive, just as the internet became essential decades ago. For education and universities, this has profound implications:

  • Faculty roles will evolve, moving away from traditional teaching toward mentorship, guidance, and creativity.
  • Curricula must adapt quickly to match labor market demands, requiring agile institutions and continuous reskilling.
  • Skills for the future will focus on creativity, communication, and adaptability, rather than rote memorization or narrowly defined technical abilities.

Acky emphasized the importance of design thinking in AI integration: knowing where AI should take the lead, where humans are essential, and how to structure organizations so teams can thrive alongside technology.

 

Looking Towards the Future of Education

Both Acky and Fadl envision a future where AI removes barriers, enabling anyone to learn new skills or explore creative endeavors. Their prior experience or background will not define their opportunity. Acky relayed:

“Human creativity and machine intelligence coexisting make it easier to tackle challenges, pursue passions, and create richer, better outcomes for learners, employees, and the industry as a whole.”

As both AI and education continue to evolve, AI will not merely automate tasks. It will personalize learning, unlock new human potential, and redefine what is possible, both in the classroom and the workplace.

 

Written By:

Kiara Kolaczyk

Marketing Manager

Kiara is an accomplished marketing strategist and two-time Fulbright grant recipient, with 5+ years of experience as a marketing consultant for international software startups. She has driven success in Series A funding, AI platform development, and marketing team leadership, while assisting Moldovan businesses in their expansion within Moldova and the EU.

FAQs

Start in low‑risk, high‑volume workflows (e.g., student onboarding Q&A, scheduling, content ops). Define success metrics (accuracy, time saved, CSAT), add human‑in‑the‑loop checkpoints, and keep a rollback plan for early runs.

Put humans at judgment points (final approvals, exceptions, escalations) while agents handle routine steps. Use audit trails, confidence scores, and clear guardrails so staff focus only on edge cases.

Clean learner profiles, skills/credential taxonomies, course‑to‑outcome mappings, and real‑time engagement signals. Pair with defined ground truth (policies, rubrics) and periodic A/B and bias tests.

Roles shift toward mentoring, feedback, and project design while AI reduces admin load. Offer PD on prompt design and AI review, update workload models, and co‑design classroom policies with faculty.

Track near‑term efficiency (cycle time, throughput, support resolution) and error rates; link to outcomes (retention, completion, job placement, satisfaction) and cost‑to‑serve deltas to build a balanced ROI story.

A smiling man in a light blue shirt holds a tablet against a background of a blue gradient with scattered purple dots, conveying a tech-savvy and optimistic tone.

Get In Touch

Reach out to our team with your question and our representatives will get back to you within 24 working hours.