Every Word You Said, Forever and Always
If knowledge I gave a company five, ten, or twenty years ago is still generating value for them, why does the payroll relationship get to end while the value extraction doesn't?
That's the question driving this episode. I read and respond to an excerpt from a LinkedIn post by a former colleague about AI systems that capture and index employee knowledge — the recordings, conversations, and stories that make expertise valuable — so all of it stays discoverable inside a company long after the person who generated it has left. Long-term extraction, in other words.
My issue isn't with the AI capability itself. It's with the assumption sitting underneath the post: that a company can capture, index, and reuse a person's stories, judgment, and point of view indefinitely, without renegotiating consent, ownership, or compensation as the relationship changes.
I trace it through consent, accountability, discoverability infrastructure, reputation risk, and the crux of it for me: compensation.
Key themes
- Consent has an expiry problem. Recording something while employed isn't the same as consenting to its indefinite reuse after departure.
- Accountability gets murky once context changes. If old material is repurposed years later and it backfires, who answers for it? The person who said it, or the company that recontextualized it?
- Discoverability is infrastructure. Making knowledge "searchable" means it gets indexed, pattern-matched, and interpreted, which raises the attribution question: am I cited as the source, and do I have any say in that?
- Reputation and digital footprint are at stake, especially if it's a company or context I no longer want to be associated with.
- The employment contract has changed. Call it the Hotel California Clause: you can leave the company any time you like, but your value never does. Payroll used to be the deal: compensation flows while you're actively contributing. Indefinite knowledge capture breaks that link. The value keeps flowing. The payroll doesn't.
- This isn't limited to employees. Contractors, freelancers, and consultants recorded and captured through AI face the same exposure, and it's nowhere in their contracts.
- Whose knowledge "counts" in the first place. I raise the open question of whether ageism, racism, or misogyny shapes whose expertise gets flagged as valuable enough to capture and monetize.
- Regulatory retention sits in tension with all of this. At my old employer in financial services, everything was already subject to audit and kept on record for six or seven years: recordings, emails, anything written. That's extraction for compliance rather than knowledge-mining, but it's still capture and retention I didn't fully control. I don't resolve that tension here. Where regulatory retention ends and unregulated knowledge-mining begins deserves its own conversation.
Reflection questions
Use these for journaling, discussion, or a follow-up episode:
- What consent does a company actually have to use my recorded conversations, stories, and expertise after I've left?
- If information I provided years ago is repurposed and the context has shifted, who is accountable when it backfires: me or the company?
- If a company builds infrastructure to make my captured knowledge discoverable, indexed, and pattern-matched, do I have any say in how I'm cited or attributed?
- If a former employer is one I no longer want to be associated with, what recourse do I have over how my past contributions continue to represent me?
- If my knowledge is valuable enough to keep generating value years after I've left, why doesn't the compensation relationship continue too?
- Has the employment contract changed, from "paid for your labor while employed" to "paid for your labor, but your knowledge stays extractable indefinitely"?
- Does this exposure extend beyond employees to contractors, freelancers, and consultants? Is it addressed anywhere in those agreements?
- Whose knowledge gets deemed valuable enough to capture in the first place? Is there bias (age, race, gender) in that determination?
- What would it take to make this explicit: legislation, individual negotiation, or structural change at the organizational level?
- As AI capture of video, writing, and audio becomes normalized, what belongs in a contract today that wasn't there before?
One-line takeaway
The post calls it preserving wisdom. I'm asking who owns that wisdom once the relationship ends, and why consent and compensation don't get renegotiated along the way.
This is an Assumption-Ground Audit
This whole episode is the Assumption-Ground Audit in action, pointed at a LinkedIn post instead of a policy. The AGA is the method I use to surface the assumption sitting underneath a decision before it calcifies into precedent. The question is never whether the technology is good or bad. The question is what everyone is treating as already-settled that hasn't actually been agreed to.
Here, the unexamined assumption is the Hotel California Clause itself: that indefinite capture and reuse of an employee's knowledge is simply part of the deal, and that consent, attribution, and compensation don't need renegotiating just because the mechanism changed from "someone remembers what you said" to "a system indexes it forever." That's the kind of assumption the AGA is built to catch before you build infrastructure, policy, or a vendor relationship on top of it.
If you're building AI systems that touch employee knowledge, client data, or institutional memory, those assumptions are hardening into your roadmap right now, whether anyone has examined them or not. If you want to know what they are before they're impossible to walk back, let's have a conversation.
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It's Nola Simon.
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I'm the host of the Hope and Possibilities
podcast, and I wanna talk a little bit
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about what's happening with reputation
and AI, and also communication.
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So
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I've written about this a little bit.
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I actually before…
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It was like maybe mid-July, I had
somebody who actually critiqued
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an essay that I had written.
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I've been very tr- clear and transparent
that I've been experimenting with AI.
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A challenge that I have is I don't
necessarily see a whole lot of use for
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AI in the stuff that I actually work on
other than actually helping me elaborate
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and write longer and more detailed essays.
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So I've ex- been experimenting
with that because, I like writing.
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The parts that I don't like about writing
are really actually related to training.
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So the takeaway questions, the
reflections, and stuff that people
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add on to essays to help people
really think for themselves,
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I'm not that interested in that.
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And so AI was helping me with that kind
of stuff because I would often actually
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record a podcast and then use the
transcript to really build out the essay.
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So it was based on my voice.
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It was based on… It was all transcripts
from actually doing the podcast.
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And then I could weave it into actually
something a little bit more essay-like,
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and then have these takeaway questions
to help people think for themselves and
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do those reflections.
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I'm a role model.
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I'm not a trainer.
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I'm not a coach.
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I
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really leading by example, and that kind
of training-type exercise isn't my forte.
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It's not really something that
I interest- I'm interested in.
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But I do know that, some
people do like that.
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So when I've been reflecting on how I've
been using AI, it's not really necessary.
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And this person critiqued me because she
felt that I hadn't… I'd lost my voice.
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I hadn't been specific enough, and the
way that I was using it it sounded more
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like Claude than it sounded like me.
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I didn't agree because I had
spent a lot of time on that, and
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as I said, I start with my voice.
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But what I found when I was actually
working through everything she said
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and, you know, the emotions surrounding
getting feedback that you don't love
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is how indefensible it really is.
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It's not like I can't write.
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I definitely can.
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But it's just more of, am I
experimenting for the sake of
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experimenting, trying to see where it
fits, and is it really that useful?
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So in terms of like SEO and AEO
and, attracting people to a website
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and coming up in search, that's
absolutely a, a part for it.
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I'm still going to be doing
stuff like that because,
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again, I'm not that interested
in figuring out keywords and how
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search works on the back end.
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I know that I have to do it.
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I know that I have to have information
where people you know, if they're
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trying to locate me or and they're
trying to locate somebody who thinks
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like me, it-- the systems will find me.
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That's really the
discoverability of it all.
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But what's happened now is how it
really affects reputation, and is
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it really worthwhile taking the
risk of experimenting publicly?
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And I don't think it is.
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So last week, Substack introduced Pangram.
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So that means that it's a system that you
can actually scan, work into, and have
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it rate whether it's 100% human or some
percentage of AI assist or completely AI.
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It's unreliable like all AI detectors are.
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But some people really like
the idea of being able to
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certify themselves 100% human.
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I don't.
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I think it feels like surveillance.
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I think it feels like the only people
who really benefit this, from this are
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Substack because they're saying that
they've been able to do something.
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And Pangram, who obviously get a load,
a lot of pr- publicity out of it.
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Apparently they're up for a new funding
round, and that's a big part of what
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their funding is going to be based on.
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So I'm trying not to talk that much about
them anymore now that I've learned that.
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But
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How does it benefit you to have
your users tattletale each-- on each
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other and mark yourself stuff, mark
other people as less than human?
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I don't see how that benefits us at all.
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And also, like such a thing as malicious
compliance exists, so you can't run it
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on posts that are less than 100 words.
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You can't run it on
anything that has audio.
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You can't run it on
anything that has video.
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You can't run it if there's a paywall.
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So personally, that's what I'm going to
do, is any experimentation that I'm doing,
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I'm going to move that behind a paywall.
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And, if I make anything public, it's
going to be less than 100 words.
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It's gonna have audio and
video in it because I know the
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systems can't run that yet.
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Now, that will eventually change,
and that's not gonna protect me.
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But I think that paywall really
is actually going to do something.
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And that's the other part is
like, why am I experimenting?
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What am I hoping to learn from it?
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Am I doing it just because it's there?
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Am I being lazy, really?
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And then LinkedIn saw the success
or f-f, backlash or whatever they
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considered Substack to be, and they
added a, seems like AI slop button so
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that anybody in the world could happen
across your post, report it, and then
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we don't exactly know what happens.
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LinkedIn, as usual, is
less than forthright.
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But honestly, it's right there
in the language and the button
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seems like, so there's no proof.
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There's no test.
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There's just, this is the way I'm
feeling about what you've presented
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as your work, whether it's AI
or whether you actually wrote it
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yourself and I just don't like you.
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Anybody in the world could
really just hit that report and
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LinkedIn would do something.
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Does that seem like it's got, the
potential to be ripe for abuse?
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Does that concern anybody?
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Since we know that ageism is a thing,
misogyny is a thing, racism is a
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thing, does that concern anybody?
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It's not like the internet is
a very nice place these days.
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And that brings me to a new thing
that happened over the weekend.
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There's a whole bunch of influencers,
and somebody corrected me that the person
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they knew was not actually an influencer.
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She actually had a business.
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But because she posts on In- TikTok and
Instagram and has large followings there
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and also attended a brand deal by OpenAI,
she's functioning like an influencer.
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So you… I think that the line
between thought leadership and
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influencer is a very interesting line.
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And I have also, going back to
that misogyny thing, heard that the
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word influencer often gets negative
connotation because it's mostly
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women who are successful influencers.
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A lot of them anyway.
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Anyways, this person that I've
been following for a while
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because she's interesting, she
has some really good ideas.
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She's, she's- She's got something,
and I can't tell you that I like her
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because there's a lot of things that
she says that I don't agree with.
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But she's captivating
in lots of ways, right?
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So I look at her as somebody I could
possibly learn from, mainly because I
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don't a hundred percent agree with her.
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It's like, what is she doing
that's so successful, and
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why does it bother me, right?
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'Cause in lots of ways, what
she says really bothers me.
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She deals with a lot of negative comments
and a lot of homophobia in her comments,
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and it's sometimes off the chart.
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I don't know that I'd want to
be publicly posting on TikTok
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these days, I gotta tell you.
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I have an account.
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I don't really use it that much.
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Anyways, so this brand deal
kinda went off the charts.
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She didn't help herself.
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She posted a a tour of her room at
this farm that they were staying in.
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They weren't paid apparently,
but it was transportation
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and accommodations and food.
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And she was talking about AI and how
wonderful OpenAI is while running a bath.
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You can imagine that the people who are
concerned about water consumption in data
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centers tore her apart in the comments.
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But this is the concern that I have.
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So are there concerns about AI?
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Absolutely, there are, right?
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There's environmental concerns.
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There's concerns about jobs.
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There's concerns about
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ethics.
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Like the, the list of concerns is so deep,
I don't even wanna go into it right now.
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But
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You have to look at th-this kind of thing,
and she's She posted again later, and
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she's "I didn't know this was gonna be so
controversial. I had no understanding that
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AI brought out this depth of feeling
in people." For one, how do you go
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on a brand trip for a company, and
the only thing you know about them is
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you think that you're a good brand?
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How do you not do the research,
especially when you are presenting
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yourself as a thought leader
who's capable of deep research?
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How do you not know
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anything about the reputation
of the company who's actually
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brought you on this brand deal?
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And she wasn't the only one.
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There were other people who were
invited to this thing as well.
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Now-
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It comes down to trust
and reputation, right?
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So do they deserve to be
torn apart in comments?
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No, I think we should be capable of having
like civil conversations presenting these
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concerns without name-calling, without
insults, and that's on both sides.
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It's not Chatham Rules
on the internet, right?
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And the internet is gonna do
what the internet is gonna do.
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Nobody can control that.
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So how do you present yourself in a
way that optimizes for trust while
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preserving your reputation, right?
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And it's not by calling people lunatics.
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It's not by being defensive.
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It's having a whole PR strategy if
you're going to be a public persona
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and you're actually going to be doing
brand deals and talking about things
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that are controversial, is knowing
your stuff and having that strategy
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of how you're owning it, how you're
explaining it, how you're promising
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it, and have those values that align.
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Now
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I think that becoming a thought leader,
becoming a creator these days is a
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really challenging position to be because
everything is shifting so much and values
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are really under pressure and optics.
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Everybody's examining the optics.
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It's beneficial to have a really good
understanding of what PR does, right?
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And how you preserve your reputation
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This is what's interesting to me
about the future of work because, it's
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not like platforms are not trying to
encourage people to be visible, right?
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LinkedIn just came out
with a collaboration thing.
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You can actually add like five
different collaborators to a post.
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It's designed to have people
talk about things, and that's
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the way the platforms work.
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The more you talk th- about things,
the more you get engagement.
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Then, ideally it's hopefully benefiting
you and your company, but also
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it's benefiting those platforms.
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So you really have to assess when you're
doing any of these types of activities
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like brand deals, like sponsorships,
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how is that company going to represent
you as your own personal brand, right?
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Do you want your name tied to them?
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I think that we have to
be a lot more careful.
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I think that it really comes down
to employees as well too, is do you
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wanna be associated long term with
these types of companies, right?
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I can't tell you that I would take
a brand deal like this, and honestly
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I've done previous podcasts about,
how I self-fund my podcast rather
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than look for sponsors because I
have concerns like this in terms of
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Reputation, and also what it means when
you're advocating for a third party that
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you have no control over, and you can't
really influence either in terms of their
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decisions and how they present themselves.
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It's the Wild West right now.
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I know that a lot of- … creators
make a lot of money from sponsorship
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deals- … and, brand partnerships
and stuff like that too.
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But I… There's a real concern
about trust with this on both sides.
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How do you manage that
reputation piece, right?
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And it's not just about AI, but AI
is infiltrating everywhere, right?
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So are you transparent
with how you're using it?
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Are you doing it in such a way
that it benefits you and your
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business- … and your relationships?
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And what kind of future is it helping
you build towards, not just, immediately?
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That's really what we have to look
into in terms of the future of work.
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So I think there's a real concern
about alignment of values,
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communication, trust, and reputation.
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And it's not just for people who are
self-employed as freelancers or creators.
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It's for employees and how they
represent themselves as individuals,
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but also as part of the brand, the
company that they work for, right?
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That's a big part of what your future is,
and, y- you're presenting them as part of
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your resume or part of your work history.
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It's important that you're aligned, and
that's something that I'm looking at.
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So how do you operate
safely in a way that-
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Feels ethical
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And is going to get you
where you want to be.
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Anyways, those are my
concerns for this week.
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Thank you for tuning in.
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I'd love to hear your thoughts