{"type":"rich","version":"1.0","provider_name":"Transistor","provider_url":"https://transistor.fm","author_name":"Humans of Martech","title":"70: Exploring new paths to future-proof your marketing career in the age of AI","html":"","width":"100%","height":180,"duration":3199,"description":"What’s up folks. This is part 3 of our deep dive into AI impacts on marketing jobs.I want to start off by apologizing that this episode might be a bit rusty, I’m attempting to record this while fully sleep deprived thanks to a 1 week old newborn at home haha Our daughter arrived nice and early and, yeah it’s been a wild change in sleeping patterns haha.In our first episode we introduced the topic and covered how fast AI could replace marketing jobs and what the transition might look like. In episode 2 we covered ways marketers can stay up to date with the latest advancements in AI.  Next up, 3. Practical changes and new areas marketers can invest in (today)4. Find the top AI marketing tools and filter out the noiseHere’s today’s main takeaway: AI is already disrupting martech but in 5-10 years our jobs are likely going to look very different. Now is the time to figure out if you need to make changes to your current area of speciality in order to future proof your career. Ask yourself if you should double down on additional areas like data and API services, getting closer to product and customers or starting to learn about ethics and data privacy.Today we’ll help you reflect on different options to investigate as you navigate through this future landscape and what job titles of the future might be in store for marketers.Here’s a quick outline of some of the new marketing areas to potentially focus on that might future proof your career if AI becomes as big as some are predictingOutlineAI tech implementation, find ways to use AI and automate tasksData and API services, exposing data from your business to let AI assistants leverage themGetting closer to product and customers, deeply understanding customers is always going to be something hard for AI to replicateCopywriting, generative AI is great at creating the familiar but can’t yet create the newEthics, privacy and responsibility, AI is really bad at displaying the POVs of underrepresented groupsAnd a look into...","thumbnail_url":"https://img.transistorcdn.com/4eBcAi2MlxuVPdaWgcnwbeXVYH5naGhZe-qIuSYOdjU/rs:fill:0:0:1/w:400/h:400/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS9hZGE5/NTRiZjYwMDI0NWM5/MmE4MDQ1NWJlODA3/MjUxYy5wbmc.webp","thumbnail_width":300,"thumbnail_height":300}