Discover OpenAI Podcast Episodes on Spotify Apple YouTube

If you follow AI news even a little, you’ve probably noticed a quiet shift: plenty of the most useful insight no longer shows up first in press releases or long whitepapers—it lands in conversations. That’s why I’m genuinely glad OpenAI pointed people to its podcast listening options on Spotify, Apple, and YouTube (as shared via OpenAI’s official social post dated January 20, 2026). For you, this matters for a simple reason: a podcast can turn “AI is changing marketing” from a vague headline into a lived, practical narrative.

In our work at Marketing-Ekspercki, we spend a lot of time building AI-assisted marketing and sales workflows in make.com and n8n. I often notice the same pattern: clients don’t struggle with motivation—they struggle with clarity. What should we build first? Where do we stop automating? What’s safe, what’s ethical, what’s measurable? A well-produced podcast can help you build that clarity, because you hear how teams think, how they frame trade-offs, and what they prioritise.

This article shows you how to find and listen to the OpenAI Podcast on Spotify, Apple, and YouTube—and, more importantly, how to use what you learn in your marketing, sales support, and automation efforts without getting lost in hype. I’ll keep it practical, and I’ll speak to you directly, because I want you to leave with a plan you can apply this week.

Where to listen: Spotify, Apple, and YouTube

OpenAI’s announcement shared three listening destinations for the OpenAI Podcast: Spotify, Apple, and YouTube. Since platforms differ in search behaviour, recommendations, and playback options, you’ll likely want to pick one primary app and one “backup” app for times when you’re on a different device.

Spotify

Spotify tends to work well if you already keep playlists and you like an algorithm that nudges you towards related shows. In my own routine, Spotify is the easiest place to keep a “commute queue”. If you want the OpenAI Podcast to become part of a habit, you’ll probably appreciate that.

• Search for the show name inside Spotify and follow it so new episodes land in your feed.
• Use playlists (or your “Your Episodes” area) to keep a short list of episodes you’ll revisit for notes.
• Adjust playback speed if you listen analytically; I usually go slightly faster when I’m extracting ideas.

Apple Podcasts

Apple Podcasts usually suits people who live in the Apple ecosystem. If you do most of your listening on iPhone and you like a clean, no-fuss library view, Apple Podcasts feels natural.

• Subscribe to the show so you don’t miss new releases.
• Use the “Saved” or similar library features to keep episodes you want to reference later.
• Turn on download for offline listening if you travel or commute underground.

YouTube

YouTube is a different beast. You likely get stronger discovery via suggested videos and search, plus the option to comment. If OpenAI publishes podcast content as video (or as audio with a static visual), YouTube can be a good place to see community reactions and time-stamped discussions.

• Subscribe to the relevant channel and switch on notifications if you want immediate alerts.
• Check descriptions for links, references, or related resources that may not show in audio apps.
• Use YouTube’s “Save” function for a watch/listen-later series you treat like a study list.

Why this podcast matters for marketers, sales teams, and operators

You’re probably not listening for entertainment. You’re listening because AI has already started to alter how you attract leads, qualify prospects, support sales conversations, and run internal operations. A podcast format helps because it captures nuance: the “why” behind decisions, the constraints, and the little details that don’t fit neatly into a social post.

When I work with teams that want AI-assisted processes, I often see two extremes:

• Some people automate too early and end up with brittle systems that break the moment the business changes.
• Others wait too long, then scramble, copy competitors badly, and spend money without learning.

Listening consistently can put you in a healthier middle ground. You learn what problems practitioners consider worth solving and how they talk about risk, reliability, and impact.

It’s a signal, not a magic wand

I want to be plain about this: a podcast won’t “fix” your marketing. But it can sharpen how you think, and that shift changes your decisions. You start asking better questions in your meetings. You brief your team more clearly. You cut fewer corners.

And yes, I know—there’s plenty of AI chatter out there. The trick is to treat what you hear as a signal and to validate it with your own data.

How to turn episodes into practical marketing and sales improvements

If you listen casually, you’ll forget most of it. I’ve done that myself, and it’s a waste. Instead, I recommend a simple operating rhythm that turns listening into action.

My “listen → note → test” routine (that you can copy)

• Listen with a purpose: before you press play, pick one business area (lead gen, sales support, retention, ops).
• Capture three notes: one idea, one risk, one metric. Keep it strict—three is enough.
• Run one small test: choose a low-risk experiment that takes 1–3 hours to implement.

This approach saves you from the classic trap: consuming AI content like it’s a sport. It’s not. It’s more like cooking—you’ve got to actually use the ingredients.

Example: using an episode insight for lead qualification

Let’s say you pick up a theme around careful use of AI for classification or triage. You can test it without making a mess of your pipeline:

• Create a separate “AI-assisted” qualification label in your CRM.
• Run AI scoring alongside your existing scoring for two weeks.
• Compare outcomes: time-to-first-response, meeting booked rate, and disqualification accuracy.

You learn quickly, and you keep control. That’s the whole point.

Workflow ideas we build in make.com and n8n (inspired by podcast learning)

You asked for an article rooted in marketing and automation realities, so I’ll make it concrete. Below are common patterns we implement with make.com and n8n. I’m not claiming the podcast states these exact workflows; I’m showing you how podcast-driven learning can translate into useful builds.

1) Episode-to-knowledge base: “Don’t let insights evaporate”

If you and your team listen but don’t capture learnings, they vanish. I’ve watched it happen too many times—someone says “I heard something brilliant last week” and then… nothing.

Build a lightweight pipeline:

• Trigger: you add an episode link to a shared Slack channel or a Google Sheet.
• Action: your workflow stores the link, date, and your quick notes in a central doc (e.g., Notion, Confluence, Google Docs).
• Action: it creates a short summary field and tags it by theme (sales, compliance, product, support).

This doesn’t need to be fancy. It just needs to run consistently.

2) Content repurposing support (with human review)

If you create content, you can use your notes to draft:

• a LinkedIn post outline,
• a short internal memo for your sales team,
• a FAQ entry for customer support,
• or a topic brief for your next webinar.

I’m careful here: you should keep a human in the loop. You’re building your brand voice, and you don’t want mushy, generic copy. Use AI for structure and speed, then edit like you mean it.

3) Sales enablement: episode insight → battlecard update

When a new concept becomes relevant—say, changes in how buyers evaluate AI features—your sales team needs a short, usable document, not a 60-minute recording.

• Create a “battlecard” template: problem, common objections, proof points, safe claims, and do/don’t language.
• Update it with the episode-inspired insight and your own evidence (case notes, win/loss data).
• Notify the team automatically when a battlecard changes.

That improves consistency in calls, and it lowers the cognitive load for reps who already juggle a lot.

SEO value: why people search for “OpenAI Podcast Spotify Apple YouTube”

From a search intent perspective, queries around a specific show and platforms typically fall into three buckets:

• Navigational: “Where is the OpenAI Podcast link on Spotify?”
• Comparative: “Is it better on Apple Podcasts or YouTube?”
• Practical: “How do I save episodes, get notifications, or listen offline?”

If you publish content in the AI space (or you sell services around AI-enabled marketing operations), understanding this intent helps you write pages that feel helpful rather than salesy. I always tell clients: match the query, match the mood. If someone wants a link, don’t bury it under essays.

Suggested on-page SEO elements you can borrow

• Primary phrase: “OpenAI Podcast on Spotify Apple YouTube”
• Secondary phrases: “listen to the OpenAI Podcast”, “OpenAI Podcast Spotify”, “OpenAI Podcast Apple Podcasts”, “OpenAI Podcast on YouTube”
• Support terms: “podcast episodes”, “subscribe”, “follow”, “notifications”, “offline listening”

Use them naturally. If you stuff keywords, your copy reads like a toaster manual, and nobody wants that.

How to keep your team aligned: a simple “podcast club” for AI change

I’ve run informal listening clubs with teams before, and they work surprisingly well—especially when AI topics start affecting product messaging, compliance, or customer expectations.

Rules that keep it useful (and stop it becoming a talk shop)

• One episode per week max. Keep the pace realistic.
• One owner per episode: they bring a 5-minute brief, not a lecture.
• One decision or experiment: you either change a process, test a message, or drop the idea.

This structure respects everyone’s time. It also gives you something most companies lack: a consistent way to translate AI discussion into measurable action.

Practical listening tips (so you actually finish episodes)

I’m going to speak plainly: attention is the scarce resource now. You can have the best intentions and still abandon episodes halfway through because Slack pings or client calls take over.

Use “bookends”

I often listen during a fixed routine: the first 20 minutes of my day while planning, or the last 20 minutes while wrapping up admin. A small habit beats a noble plan.

Pick the right platform for your day

• If you walk or commute: Spotify or Apple Podcasts work well.
• If you sit at a desk and want to take notes: YouTube can be easier because you already have a screen open.
• If you travel: offline downloads on Apple Podcasts (and Spotify if you use it) can save you.

Compliance, accuracy, and brand safety: how to talk about what you hear

This is where I get a bit serious. In marketing, it’s tempting to hear something on a podcast and repeat it as “fact” in a post, a pitch, or a sales deck. Don’t do that casually.

Here’s a safer approach I use:

• Quote carefully: if you reference a claim, cite the episode and keep the wording faithful.
• Separate opinion from evidence: what you interpret might be useful, but label it as your view.
• Validate before you promise: if it affects customer expectations, test it or confirm it with documentation.

You protect your credibility. You also protect your team from misunderstandings that can snowball into awkward client calls.

How you can build content around the OpenAI Podcast (without copying it)

You can absolutely use podcast listening as a content engine, but you should keep your work original. I do this by focusing on application: what we tried, what worked, what failed, and what I’d do differently.

Three strong article formats for B2B marketing teams

• “What we changed after listening”: one change in onboarding emails, lead scoring, or sales handoff.
• “My notes + a field test”: your three notes, then your tiny experiment and results.
• “Glossary for non-technical colleagues”: plain-English definitions tied to how your company uses them.

That style tends to rank well because it serves readers who want practical outcomes, not gossip.

A lightweight action plan for you (do this over 7 days)

If you want a clear next step, follow this plan. I’ve kept it short on purpose.

Day 1: Choose your platform and subscribe

• Pick Spotify, Apple Podcasts, or YouTube as your main player.
• Follow/subscribe and enable notifications.

Day 2–3: Listen and take three notes

• Write: one idea, one risk, one metric.
• Store it in one place your team can access.

Day 4: Turn notes into a micro-experiment

• Choose something low-risk (e.g., a new email subject-line test, a revised lead intake form, a sales snippet).
• Set a timebox: 90 minutes to implement.

Day 5–6: Measure and compare

• Track one metric you already trust (reply rate, booked calls, time-to-first-response).
• Write down what surprised you.

Day 7: Decide and document

• Keep it, tweak it, or bin it.
• Add the outcome to your internal knowledge base.

That’s it. Small loop, real progress.

Common problems (and what I do when they show up)

You can’t find the show in your app

• Search using the exact show title and try adding “OpenAI Podcast”.
• Use the links shared by OpenAI’s official post to jump directly to the platform listing.

You listen, but nothing changes

• Timebox one experiment per episode.
• Assign an “owner” who must ship something small.

Your team argues about AI opinions

• Write the point of disagreement down as a testable hypothesis.
• Pick a metric and run a small, reversible trial.

I’ve found that measurement cools tempers. Opinions are fine; stalemates are expensive.

How we help at Marketing-Ekspercki (if you want a hand)

If you want to turn AI insight into repeatable execution, my team and I usually help in three areas:

• Marketing automation: lead routing, segmentation, nurture sequences, and reporting loops.
• Sales support: enrichment, call prep packs, follow-up drafts, and CRM hygiene.
• AI-assisted operations using make.com and n8n: connecting tools, structuring data, and keeping humans in control.

If you already have tools in place, we can build around them. If you’re early, we can help you pick a sensible first workflow so you don’t end up with a tangled mess that nobody owns.

Official listening destinations (as shared by OpenAI)

OpenAI’s public post pointed listeners to the OpenAI Podcast on the following platforms:

• Spotify (link shared by OpenAI)
• Apple (link shared by OpenAI)
• YouTube (link shared by OpenAI)

If you want the exact URLs, use the links in OpenAI’s official January 20, 2026 social post so you land on the correct listings.

What you should do next

Pick one platform, subscribe, and listen to one episode with a notebook open. I’ll put my cards on the table: the real benefit comes when you turn a single idea into a small test inside your funnel or your sales process. If you do that once a week, you’ll build a calm, steady advantage—no theatrics, no frantic tool-hopping.

If you’d like, tell me which stack you run (CRM, email tool, helpdesk, analytics) and whether you prefer make.com or n8n. I’ll suggest three specific automations you can implement based on your current setup.