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A tartalmat a Kashif Manzoor biztosítja. Az összes podcast-tartalmat, beleértve az epizódokat, grafikákat és podcast-leírásokat, közvetlenül a Kashif Manzoor vagy a podcast platform partnere tölti fel és biztosítja. Ha úgy gondolja, hogy valaki az Ön engedélye nélkül használja fel a szerzői joggal védett művét, kövesse az itt leírt folyamatot https://hu.player.fm/legal.
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How GenAI Is Changing Every Career

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Manage episode 518387532 series 2922369
A tartalmat a Kashif Manzoor biztosítja. Az összes podcast-tartalmat, beleértve az epizódokat, grafikákat és podcast-leírásokat, közvetlenül a Kashif Manzoor vagy a podcast platform partnere tölti fel és biztosítja. Ha úgy gondolja, hogy valaki az Ön engedélye nélkül használja fel a szerzői joggal védett művét, kövesse az itt leírt folyamatot https://hu.player.fm/legal.

Building Career Resilience in the Age of Generative AI

Every week, we explore how AI and technology are changing the way we work and learn. This episode dives into the question I get asked the most, How is Generative AI changing every career? Let's unpack why it matters, how it's shifting roles and skills, and what you can do to lead this change instead of chasing it

In this solo episode of Open Tech Talks, host Kashif Manzoor, AI Engineer and Strategiest, and author of AI Tech Circle, dives deep into one of the biggest career questions of our time:

How is Generative AI reshaping every profession?

Whether you're a developer, analyst, marketer, finance expert, or operations lead, the rise of Gen AI is transforming how work gets done. Kashif combines real-world enterprise experience, current research from McKinsey and Goldman Sachs, and his personal journey building the Gen AI Maturity Framework and Portal to uncover how you can stay relevant, resilient, and ready for AI-driven change.

He shares first-hand stories from his own AI adoption journey, how enterprise teams are shifting from cloud architecture to AI architecture, from isolated use-cases to full-scale agentic AI strategies and the lessons learned while guiding organizations through transformation.

This episode is both a roadmap and a reflection: how to experiment weekly, build your portfolio, upskill smartly, reposition your role, and teach and share as you grow.

Episode # 173

What You'll Learn
  • Why Generative AI matters now and how it differs from traditional AI

  • How tasks, roles, and careers are evolving across industries

  • Real-world examples from finance, marketing, and software engineering

  • The five practical steps to future-proof your career with Gen AI

  • Insights from McKinsey, ResearchGate, and Goldman Sachs on AI productivity impact

  • How to move from "knowing AI tools" to using AI strategically in daily work

  • A behind-the-scenes look at the creation of the Gen AI Maturity Framework

  • Why the future of work is not about jobs lost but roles transformed

External References

  1. McKinsey Global Institute – Generative AI and the Future of Work

  2. Deloitte – Generative AI and the Future of Work

  3. Goldman Sachs – How Will AI Affect the Global Workforce

  4. Robert Half – How GenAI Is Changing Creative Careers

  5. Mäkelä & Stephany (2024) – Complement or Substitute?

  continue reading

173 epizódok

Artwork
iconMegosztás
 
Manage episode 518387532 series 2922369
A tartalmat a Kashif Manzoor biztosítja. Az összes podcast-tartalmat, beleértve az epizódokat, grafikákat és podcast-leírásokat, közvetlenül a Kashif Manzoor vagy a podcast platform partnere tölti fel és biztosítja. Ha úgy gondolja, hogy valaki az Ön engedélye nélkül használja fel a szerzői joggal védett művét, kövesse az itt leírt folyamatot https://hu.player.fm/legal.

Building Career Resilience in the Age of Generative AI

Every week, we explore how AI and technology are changing the way we work and learn. This episode dives into the question I get asked the most, How is Generative AI changing every career? Let's unpack why it matters, how it's shifting roles and skills, and what you can do to lead this change instead of chasing it

In this solo episode of Open Tech Talks, host Kashif Manzoor, AI Engineer and Strategiest, and author of AI Tech Circle, dives deep into one of the biggest career questions of our time:

How is Generative AI reshaping every profession?

Whether you're a developer, analyst, marketer, finance expert, or operations lead, the rise of Gen AI is transforming how work gets done. Kashif combines real-world enterprise experience, current research from McKinsey and Goldman Sachs, and his personal journey building the Gen AI Maturity Framework and Portal to uncover how you can stay relevant, resilient, and ready for AI-driven change.

He shares first-hand stories from his own AI adoption journey, how enterprise teams are shifting from cloud architecture to AI architecture, from isolated use-cases to full-scale agentic AI strategies and the lessons learned while guiding organizations through transformation.

This episode is both a roadmap and a reflection: how to experiment weekly, build your portfolio, upskill smartly, reposition your role, and teach and share as you grow.

Episode # 173

What You'll Learn
  • Why Generative AI matters now and how it differs from traditional AI

  • How tasks, roles, and careers are evolving across industries

  • Real-world examples from finance, marketing, and software engineering

  • The five practical steps to future-proof your career with Gen AI

  • Insights from McKinsey, ResearchGate, and Goldman Sachs on AI productivity impact

  • How to move from "knowing AI tools" to using AI strategically in daily work

  • A behind-the-scenes look at the creation of the Gen AI Maturity Framework

  • Why the future of work is not about jobs lost but roles transformed

External References

  1. McKinsey Global Institute – Generative AI and the Future of Work

  2. Deloitte – Generative AI and the Future of Work

  3. Goldman Sachs – How Will AI Affect the Global Workforce

  4. Robert Half – How GenAI Is Changing Creative Careers

  5. Mäkelä & Stephany (2024) – Complement or Substitute?

  continue reading

173 epizódok

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