There is a new dividing line in the product world. On one side are the managers who spend their days fighting the "blank page," struggling to draft requirements, waiting on design assets, and manually sifting through user feedback. On the other side is a growing cohort of "AI-native" professionals who have effectively cloned themselves.
For the last decade, product management was largely defined by process. It was about managing the backlog, grooming tickets, and coordinating between teams.
It was a role of alignment. Today, the definition is being rewritten in real-time. It is shifting from alignment to creation.
The difference is visible in the daily output of an AI-enabled manager versus a traditional one:
The extinction of the administrative product manager
For years, a significant portion of a product manager's week was consumed by what can best be described as "administrative overhead." Generative AI has effectively demonetised this work, forcing a bifurcation in the industry.
Managers who resist these tools find themselves buried in tasks that are rapidly becoming obsolete:
Reimagining the entire product lifecycle
To understand why this certification is critical, one must look at how the entire product lifecycle is being rewritten by the tools covered in the AI-Powered Professional Certification in Product Management. It is not just about writing faster emails; it is about fundamentally changing how products are conceived and built.
The impact is visible across three critical phases:
With the explosion of AI tools, there has been a parallel explosion of unverified bootcamps. For hiring managers, this creates a noise problem. How do you distinguish between a candidate who knows how to paste a prompt and a professional who understands the underlying mechanics of AI product management?
This is where the pedigree of the certifying institution becomes the deciding factor. The AI-Powered Professional Certification in Product Management, delivered in collaboration with the SP Jain School of Global Management, offers a level of academic rigour that self-paced tutorials cannot match.
SP Jain Global is consistently ranked among the world's top business schools. When a product manager carries a certification from this institution, it signals to employers that their AI skills are not just theoretical but have been honed through a structured, expert-led curriculum. It validates that the professional understands not just the "how" of the tools, but the "why" of the business strategy behind them.
Key programme highlights
For professionals considering this transition, the program offers a comprehensive structure designed for working executives:
We are heading toward a future where the output per product manager increases tenfold. In this environment, the PM becomes the central hub of intelligence for the product, directing a fleet of AI agents to execute tasks across research, design, and data analysis.
This requires a new mindset. It requires the confidence to use technology to augment one's own intuition. It requires the humility to recognise that an algorithm might identify a pattern a human brain missed. Most importantly, it requires education.
The window to be an "early adopter" of AI in product management is closing. Soon, these skills will just be "product management." The professionals who secure their footing now, backed by credible certification and practical experience, will be the ones leading the product organisations of tomorrow.
Data indicates that AI-skilled professionals can command salary premiums of up to 40% in certain technology sectors.³ This is not merely a credential; it is an investment in career longevity.
For those ready to transition from managing timelines to architecting the future, the path is clear. It begins with mastering the tools that are building that future.
References:
For the last decade, product management was largely defined by process. It was about managing the backlog, grooming tickets, and coordinating between teams.
It was a role of alignment. Today, the definition is being rewritten in real-time. It is shifting from alignment to creation.
The difference is visible in the daily output of an AI-enabled manager versus a traditional one:
- Speed of ideation: While a traditional manager takes a week to synthesise interviews and draft a Product Requirement Document (PRD), an AI-native manager feeds raw transcripts into an LLM to generate a structured Product Requirements Document (PRD) with acceptance criteria before lunch.
- Visual communication: Instead of waiting days for a designer to sketch a concept, the new breed of manager uses image generation tools to create high-fidelity UI mockups instantly, allowing for rapid stakeholder alignment.
- Iterative capacity: The AI-skilled manager can test ten distinct hypotheses in the time it takes their competitor to document just one.
The extinction of the administrative product manager
For years, a significant portion of a product manager's week was consumed by what can best be described as "administrative overhead." Generative AI has effectively demonetised this work, forcing a bifurcation in the industry.
Managers who resist these tools find themselves buried in tasks that are rapidly becoming obsolete:
- Writing routine Jira tickets and user stories manually.
- Cleaning up backlog data and formatting spreadsheets.
- Summarising endless meeting notes for engineering teams.
Reimagining the entire product lifecycle
To understand why this certification is critical, one must look at how the entire product lifecycle is being rewritten by the tools covered in the AI-Powered Professional Certification in Product Management. It is not just about writing faster emails; it is about fundamentally changing how products are conceived and built.
The impact is visible across three critical phases:
- Discovery and research: Traditionally, user research was expensive and slow. Today, AI allows PMs to analyse thousands of customer support tickets in seconds to extract sentiment. Managers can create "synthetic users" based on real data to test hypotheses before bothering a single human customer.
- Definition and strategy: The "blank page syndrome" that plagues PRD writing is cured. By mastering prompt engineering, a PM can feed context to an AI and receive a structured document that aligns with industry standards. This shifts the PM's role from "author" to "editor-in-chief."
- Design and prototyping: Historically, PMs were dependent on designers for any visual asset. With tools like Midjourney, a PM can generate visual storyboards independently. Instead of saying "imagine a dashboard," the PM can show a dashboard, reducing miscommunication and accelerating approval cycles.
With the explosion of AI tools, there has been a parallel explosion of unverified bootcamps. For hiring managers, this creates a noise problem. How do you distinguish between a candidate who knows how to paste a prompt and a professional who understands the underlying mechanics of AI product management?
This is where the pedigree of the certifying institution becomes the deciding factor. The AI-Powered Professional Certification in Product Management, delivered in collaboration with the SP Jain School of Global Management, offers a level of academic rigour that self-paced tutorials cannot match.
SP Jain Global is consistently ranked among the world's top business schools. When a product manager carries a certification from this institution, it signals to employers that their AI skills are not just theoretical but have been honed through a structured, expert-led curriculum. It validates that the professional understands not just the "how" of the tools, but the "why" of the business strategy behind them.
Key programme highlights
For professionals considering this transition, the program offers a comprehensive structure designed for working executives:
- Certification: AI-Powered Professional Certification in Product Management.
- Duration: 6 months (Live Online format).
- Alumni Benefits: Executive Education Alumni Benefits from SP Jain Global upon completion.
- Tools Covered: Generative AI (ChatGPT, Gemini, Midjourney), Jira, Balsamiq, Google Analytics, and Mixpanel.
- Curriculum Focus: AI for User Persona Creation, Automated Market Research, Rapid Prototyping, and Unit Economics.
- Instruction: Live masterclasses by SP Jain Global faculty and industry leaders from companies like Amazon and Microsoft.
- Capstone Projects: Real-world problem solving, such as developing market entry strategies for major tech brands.
We are heading toward a future where the output per product manager increases tenfold. In this environment, the PM becomes the central hub of intelligence for the product, directing a fleet of AI agents to execute tasks across research, design, and data analysis.
This requires a new mindset. It requires the confidence to use technology to augment one's own intuition. It requires the humility to recognise that an algorithm might identify a pattern a human brain missed. Most importantly, it requires education.
The window to be an "early adopter" of AI in product management is closing. Soon, these skills will just be "product management." The professionals who secure their footing now, backed by credible certification and practical experience, will be the ones leading the product organisations of tomorrow.
Data indicates that AI-skilled professionals can command salary premiums of up to 40% in certain technology sectors.³ This is not merely a credential; it is an investment in career longevity.
For those ready to transition from managing timelines to architecting the future, the path is clear. It begins with mastering the tools that are building that future.
References:
- Microsoft and LinkedIn. "2024 Work Trend Index Annual Report."
- Gartner. "Magic Quadrant for Digital Product Management Tools."
- Oxford Internet Institute. "The AI Wage Premium: Evidence from Online Labor Markets."
(This article is generated and published by ET Spotlight team. You can get in touch with them on etspotlight@timesinternet.in)
