At the NDTV World Summit 2026 in New Delhi, global AI pioneer, Coursera co-founder, and DeepLearning.AI founder Andrew Ng delivered a grounding, data-driven counter-narrative to the prevailing media narrative of an impending “AI jobpocalypse.”

Speaking alongside NDTV, Ng dismantled the doom-and-gloom rhetoric generated by tech PR campaigns, explained the origin and true potential of Agentic AI, warned against the cognitive pitfalls of using AI chatbots for learning, and laid out a pragmatic roadmap for preparing the global workforce for 2028 and beyond.

1. The “Jobpocalypse” Myth: PR Hype vs. Empirical Reality

Ng forcefully dismissed claims that artificial intelligence will eliminate the vast majority of human jobs in the near term, attributing the narrative to corporate self-aggrandizement and regulatory capture:

• Incentivized Hype: Big tech conglomerates and startup founders frequently hype up existential AI threats or apocalyptic job loss scenarios to appear hyper-powerful, boost fundraising valuations, and provoke regulators into passing anti-competitive laws that crush open-source competitors (“regulatory capture”).
• The Software Engineering Precedent: Software development—the domain most heavily impacted by AI coding assistants—has seen an increase in job postings, particularly in major tech markets. As individual engineers become significantly more productive, business demand for software output expands, driving higher net hiring.
• Current AI Limitations: Beyond the hype, current frontier AI tools are simply not advanced or autonomous enough to replace complex human workflows wholesale. Rather than job destruction, AI acts primarily as an efficiency multiplier.

2. The Coining of “Agentic AI” and the Shift Beyond Chatbots

Reflecting on the evolution of generative AI, Ng shared his role in coining the term “Agentic AI” in early 2024 to describe a fundamental architectural shift:

Metric / Aspect	Zero-Shot Chatbot Model	Agentic AI Workflow
Execution Pattern	Single-prompt, immediate text generation (“blurting out an answer”)	Multi-step reasoning, planning, tool usage, and self-reflection
Process Flow	Input $\rightarrow$ Output	Input $\rightarrow$ Research $\rightarrow$ Execution $\rightarrow$ Error Correction $\rightarrow$ Final Output
Enterprise ROI	Limited to basic Q&A and text summarization	Automates complex multi-step business processes and operational workflows
Implementation Reality	Instant deployment	Requires rigorous, hard-won domain engineering and process re-architecture

While marketers quickly attached the “agentic” sticker to basic software tools, Ng emphasized that true agentic workflows—where AI plans, executes web searches, analyzes data, and iterates before presenting a result—will drive substantial business value over the next decade.

3. The “Chatbot Learning Loss” Paradox in Education

In a surprising revelation backed by recent academic research (including studies from the Wharton School at the University of Pennsylvania), Ng issued a stern warning regarding students using AI chatbots for academic learning:

• Short-Term High Scores, Long-Term Learning Decay: While students using AI chatbots see immediate boosts in homework grades due to cognitive offloading, their closed-book exam scores drop by up to 17%.
• The Risk of Compounded Decline: Relying on chatbots to complete cognitive tasks hinders true concept mastery, threatening to graduate cohorts of students with diminished foundational skills.
• Rethinking EdTech: Rather than one-size-fits-all online lectures or passive chatbot Q&As, the future of education requires personalized, 1-on-1 interactive learning environments designed to build genuine mastery rather than facilitate cognitive shortcuts.

4. Enterprise Strategy: Beyond Cost-Cutting to Growth Creation

For CEOs and corporate leaders navigating AI adoption, Ng identified a critical strategic misstep:

• The Cost-Savings Trap: Most corporate executives frame AI investments strictly around headcount reduction and operational cost savings to satisfy short-term public market expectations.
• The Growth Opportunity: The far larger commercial value of AI lies in product innovation, elevated customer experience, and new revenue generation.
• Human Liability: Addressing legal liability, Ng insisted that humans directing AI systems must remain legally accountable: “If I hit a wall with a hammer, it’s my fault, not the hammer’s. AI is a tool directed by human intent.”

Preparing for the Workforce of 2028

As educational systems and corporate training programs struggle to keep pace, Ng urged policymakers and universities to stop preparing students for past paradigms. Equipping the next generation of engineers and professionals with agentic AI tools, API integration capabilities, and critical thinking skills is the only way to ensure sustainable economic growth in an AI-augmented world.

Source Video: Will AI destroy jobs? Andrew Ng on the AI jobpocalypse debate | NDTV World Summit 2026