I know that many of you would agree that we are now beyond saturation point with the hype around AI in TA. It's clear that one way or another, gen AI is going to become ubiquitous in the software that we use. So, rather than discussing it as a topic on its own, we need to look carefully at the current and future impact on TA in terms of use cases, innovation, and the potential to rethink hiring.

So what are the proven use cases for AI right now, where are we missing opportunities, and how will things develop in the short term?

My guest this week is Mark Chaffey, Co-Founder and CEO of Hackajob. We discuss current AI use cases and lessons TA can learn from Gen AI's impact on software engineering.

In the interview, we discuss:

The current state of the tech hiring market

Concerns over developing early career talent

The impact of AI on software engineering

AI isn't just about automation. It's about being ten times better.

Why AI will always match better than humans

The role of TA

The hype cycle

Critical questions to ask vendors

Data governance and integration

What will things be like in both the short and long-term future?


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