WEBVTT - Former Dow CFO, Adobe's Use of Artificial Intelligence

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<v Speaker 1>This is Bloomberg Business Week with Carol Messer and Tim

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<v Speaker 1>Steneveek on Bloomberg Radio.

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<v Speaker 2>All Right, everybody, you don't see this a lot these days,

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<v Speaker 2>someone spending their entire career at a single company. But

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<v Speaker 2>that's exactly what our next guest did. After thirty three

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<v Speaker 2>years at Dow Howard and Ungerlider, he retired back in November.

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<v Speaker 2>He oversaw Dow DuPont split into three separate public companies.

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<v Speaker 2>We're talking about Dow DuPont, DuPont and then Corteva. I

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<v Speaker 2>hope I'm saying that correctly.

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<v Speaker 3>Fair to say, Carol, he's seen quite a few cycles

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<v Speaker 3>and quite a few changes through his career at the

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<v Speaker 3>chemicals giant. Howard Ungerlighter joins us on a zoom in

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<v Speaker 3>New York City. Howard, good to have you with us. Look,

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<v Speaker 3>why did you retire?

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<v Speaker 4>Hey, Tim, Good afternoon, Carol. Thank you. Somewhere in the

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<v Speaker 4>suburbs of Philadelphia. My mother is smiling if she's listening

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<v Speaker 4>to nice introduction. Look, Look, thirty three years is a

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<v Speaker 4>long time to be doing anything, and I just felt

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<v Speaker 4>like it was the right time to continue with my

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<v Speaker 4>leadership journey. You know, I just arrived in New York.

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<v Speaker 4>You know, my grand my, well, all of my ancestors

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<v Speaker 4>actually immigrated from Eastern Europe. My grandfather worked at a

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<v Speaker 4>dry cleaner's for more than fifty years in Brooklyn, and

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<v Speaker 4>you know, he just he instilled in me a work

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<v Speaker 4>ethic around pressing pants. And I still remember early days.

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<v Speaker 4>He's long since passed away, but when I was first

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<v Speaker 4>at Dow more than thirty three years ago. Now, he

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<v Speaker 4>used to call me and ask me at the end

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<v Speaker 4>of the day how many pants that I pressed, because

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<v Speaker 4>that was his view of hard work. And that's what

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<v Speaker 4>he instilled in me. And I did that for thirty

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<v Speaker 4>three years, and it was time to look where my

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<v Speaker 4>leadership journey is going to take me next.

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<v Speaker 2>Do you have a favorite moment though, within that thirty

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<v Speaker 2>three year journey at Dow specifically.

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<v Speaker 4>Oh, my goodness, you know, thirty three years. It seemed

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<v Speaker 4>like every year was something special. Certainly the investor relations

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<v Speaker 4>role that I did in a financial crisis. You know,

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<v Speaker 4>I took that role in April of two thousand and eight,

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<v Speaker 4>we announced the acquisition at Romanhaus in the summer. Lehman

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<v Speaker 4>collapsed in September, and we all know what happened after that, So,

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<v Speaker 4>you know the old adage of what doesn't kill you

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<v Speaker 4>makes you stronger. I learned a lot about myself. I

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<v Speaker 4>learned a lot about our great company called Dow through

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<v Speaker 4>that period of the financial crisis.

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<v Speaker 2>I still love that you went there because I always

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<v Speaker 2>think that that is a time when the CFO that

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<v Speaker 2>position was no longer about the earnings call or quarterly

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<v Speaker 2>earnings report, only just that. But it became the CFOs

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<v Speaker 2>kept companies alive and figured out the balance sheet and

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<v Speaker 2>what they needed to do. And I just feel like

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<v Speaker 2>from that day forward, CFOs meant something very different.

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<v Speaker 4>Carol, I couldn't agree more. Actually, my joke at the

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<v Speaker 4>time was there were no equity investors. Everybody was a

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<v Speaker 4>fixed income investor. They all wanted to ask about credit

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<v Speaker 4>and risk and mitigation and trying to find where the

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<v Speaker 4>bottom was. Now, that's fifteen plus years ago now, But

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<v Speaker 4>I actually think you bring up a great point. You know,

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<v Speaker 4>the role of CFO, I really think has evolved dramatically

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<v Speaker 4>over the last twenty five thirty years. If you go

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<v Speaker 4>back into the nineties, the best path to the CFO

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<v Speaker 4>steat was most likely treasurer, a deal maker, a lot

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<v Speaker 4>of m and A experience through the early part of

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<v Speaker 4>the two thousands, after Enron and Sarbanes Oxley, it really

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<v Speaker 4>became an accounting driven, compliance driven, controlled driven role. And

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<v Speaker 4>I would say, really the financial crisis was the beginning

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<v Speaker 4>of I think the evolution as a CFO as co pilot.

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<v Speaker 4>You know, I am not a pilot by training, but

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<v Speaker 4>I use that analogy because I think it's really apropos

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<v Speaker 4>The CFO really has to be the co pilot of

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<v Speaker 4>the enterprise today. And you think about what a co

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<v Speaker 4>pilot does is they have to do everything that the

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<v Speaker 4>pilot does. They may not have they have one fewer

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<v Speaker 4>stripe on their on their shirt sleeve, but they have

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<v Speaker 4>to be able to land, take off, talk to the

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<v Speaker 4>talk to the crew, work with the work with air

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<v Speaker 4>traffic control, navigate the plane, uh, you know, engage with

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<v Speaker 4>the clients or the customers or the passengers. They have

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<v Speaker 4>to be able to do everything the pilot does. So

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<v Speaker 4>really CFO is co pilot, I think is is what

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<v Speaker 4>this generation of CFOs really needs.

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<v Speaker 3>I'm going to break a rule that I should not break,

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<v Speaker 3>but I just can't help myself. Okay, now I'm still

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<v Speaker 3>stuck on this idea that you know, your grandfather would

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<v Speaker 3>call you early in your career and I just out

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<v Speaker 3>of curiosity, is there any chemical that you worked on

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<v Speaker 3>or anything you oversaw while you were at dow, Like,

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<v Speaker 3>does this story comefort full circle that he would have

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<v Speaker 3>used or that dry cleaners end up using in their process.

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<v Speaker 4>Yeah. One one one is the perchlor ethylene. It's a

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<v Speaker 4>product that now no longer makes and it's not really

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<v Speaker 4>a product that drag cleaners use today for obviously for

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<v Speaker 4>environmental reasons, but back thirty forty fifty years ago that

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<v Speaker 4>was the molecule of choice for most drig cleaners. So

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<v Speaker 4>he definitely used that at the time. That's a lot.

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<v Speaker 4>That's a long time.

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<v Speaker 3>Ago, tim, But you said they're no longer using it.

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<v Speaker 4>Right, correct?

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<v Speaker 3>Is that?

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<v Speaker 1>How come?

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<v Speaker 4>Just? I mean, in terms of environmental footprint, there's molecules

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<v Speaker 4>that are safer today, that are better for the environment

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<v Speaker 4>and better for the clothes well and safer well.

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<v Speaker 2>Can we go there for a little bit, because we

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<v Speaker 2>thought about this when we were kind of planning. You know,

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<v Speaker 2>it feels like one of the next industries already or

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<v Speaker 2>will be on many people's radar is plastics and really

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<v Speaker 2>the chemical industry is rolling this, and you know the

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<v Speaker 2>report that came out earlier this month. I think Columbia

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<v Speaker 2>and Rutgers about the detectable plastic fragments and a typical

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<v Speaker 2>leader of bottled water some two hundred and forty thousand,

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<v Speaker 2>and we've been talking a lot about microplastics and nanoplastics

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<v Speaker 2>and how they're so much more dangerous. You know. I

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<v Speaker 2>think about the graduate the movie and there he is

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<v Speaker 2>in the pool and they're like, what are you gonna

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<v Speaker 2>do with your life? And they're like plastics? So how

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<v Speaker 2>are you thinking about? Having spent so much time in

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<v Speaker 2>that industry? But what's the constructive conversation to have as

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<v Speaker 2>we maybe move forward to and probably should move forward

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<v Speaker 2>to you a continually cleaner world that doesn't impact our

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<v Speaker 2>environment so much.

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<v Speaker 4>Yeah, And I certainly I'm not here speaking on behalf

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<v Speaker 4>of Dow because I'm no longer with a company, But

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<v Speaker 4>what I would say is I think where the industry

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<v Speaker 4>is heading, and Dow is certainly right there front and

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<v Speaker 4>center is decarbonizing the value chains and driving for circularity.

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<v Speaker 4>Plastics actually is the most sustainable alternative. It's more sustainable

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<v Speaker 4>when you look at it on a total carbon life

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<v Speaker 4>cycle perspective, than paper, than metal, than glass or other

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<v Speaker 4>packaging substrates. The challenge is a lot of it, most

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<v Speaker 4>of it today, unfortunately, is not recycled and it goes

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<v Speaker 4>into the landfill. And so by driving decarbonization, meaning reducing

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<v Speaker 4>or eliminating the use of hydrocarbons to make plastics using

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<v Speaker 4>other materials as raw materials, as feedstocks, then driving circularity

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<v Speaker 4>so that those materials, once they're transformed into a plastic

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<v Speaker 4>or a polymer or packaging use or durable good use,

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<v Speaker 4>don't go into the land fill, but actually get reused

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<v Speaker 4>and recycled. I mean that ultimately will really benefit the planet.

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<v Speaker 2>But does it not get recycled because it's just not

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<v Speaker 2>cost efficient to do so.

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<v Speaker 4>Yeah, it's more cost efficient today unfortunately to use virgin

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<v Speaker 4>hydrocarbon resients and virgin polymers. What you know, we were

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<v Speaker 4>advocating and what I would still support, is some kind

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<v Speaker 4>of a market based price on carbon. It's not something

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<v Speaker 4>that currently have is happening in the United States today,

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<v Speaker 4>it is happening in other in other countries around the world. Canada,

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<v Speaker 4>our neighbor, for example, does have a market based price

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<v Speaker 4>on carbon. And if you implement a market based price

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<v Speaker 4>in carbon that will encourage and financially incentivize people to

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<v Speaker 4>actually do that recycling.

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<v Speaker 3>But what about the idea of these plastics actually getting

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<v Speaker 3>into our bloodstreams through microplastics? Now, nanoplastics is the study

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<v Speaker 3>that Carol was referring to that we talked about on

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<v Speaker 3>our air a couple.

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<v Speaker 4>Of weeks ago.

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<v Speaker 3>That's something that's relatively new to me and that that

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<v Speaker 3>we're just learning about.

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<v Speaker 4>Now.

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<v Speaker 3>How do you think about all that?

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<v Speaker 4>Yeah, I think we need a lot more scientific study.

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<v Speaker 4>I mean, that's really that we need to let the

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<v Speaker 4>science drive the answer. Uh. And I mean I would

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<v Speaker 4>say that's the that's the biggest thing that we can

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<v Speaker 4>do as a society.

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<v Speaker 3>Would you say there's not evidence for that at this point?

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<v Speaker 1>No?

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<v Speaker 4>Not significant.

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<v Speaker 5>No.

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<v Speaker 2>We're talking with Howard Underlider. He is former president chief

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<v Speaker 2>financial officer at Dow and he's joining us on Zoom

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<v Speaker 2>in New York City. One more thing. I want to

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<v Speaker 2>kind of go back to what we ended on Howard,

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<v Speaker 2>if I may. And I was just thinking about all

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<v Speaker 2>those things and even really wonderful and just kind of

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<v Speaker 2>going with us on it and talking about it. But

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<v Speaker 2>I think there are a lot of industries out there,

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<v Speaker 2>like I think about I spent a big check in

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<v Speaker 2>my career, like watching what happened with cigarettes and the

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<v Speaker 2>settlement pesticide, sugar, trans fats, lead, asbestos, mercury, red dye

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<v Speaker 2>number five. Yeah, exactly. Although they that settlement, you know,

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<v Speaker 2>no wrongdoing to be you know, just to be fair

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<v Speaker 2>and transparent. There are so many things we learned years

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<v Speaker 2>after we've been using them that they are bad for society,

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<v Speaker 2>for individuals. So at the same time, so much that

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<v Speaker 2>companies do that have improved our lives in immeasurable ways.

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<v Speaker 2>How does the chemical industry, though, adapt to kind of

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<v Speaker 2>an environment where we are looking to make or that

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<v Speaker 2>we're not impacting individuals, not impacting the environment. You know,

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<v Speaker 2>carbon credits are one thing, but we want to make

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<v Speaker 2>sure that we're actually not creating harm in the first place.

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<v Speaker 4>Sure, And I think, I mean, it's a great question,

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<v Speaker 4>Carol and Tim and I would just say that I think,

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<v Speaker 4>you know, spending thirty three years of my career at DOW,

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<v Speaker 4>it was all about the science, right and every you know,

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<v Speaker 4>and science, technology improves, analytics improve and the industry at

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<v Speaker 4>least coming from a Dow perspective has improved over the

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<v Speaker 4>last thirty years in a significant way. And you know,

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<v Speaker 4>you try to use the best available data and analytics

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<v Speaker 4>and tools and technologies to develop the right polymers. And

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<v Speaker 4>there are many there are many chemicals that used to

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<v Speaker 4>be used decades ago which are no longer used because

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<v Speaker 4>we found much safer molecules in order to be able

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<v Speaker 4>to deliver the products and the features and the benefits

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<v Speaker 4>that we as consumers and co owners like. And I

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<v Speaker 4>would just say that we've got to continue to do

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<v Speaker 4>that as an industry and frankly as a society.

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<v Speaker 2>Love that. Well, then let's go a little bit further

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<v Speaker 2>in terms of what you do next. And I think

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<v Speaker 2>I've read somewhere where you want to make an impact

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<v Speaker 2>or continue to make an impact, and it could come

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<v Speaker 2>in a couple different ways, whether it's CEO of a

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<v Speaker 2>publicly held company or private equity. When you say impact,

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<v Speaker 2>what do you want to do specifically, Howard?

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<v Speaker 4>Yeah, So let me start with what I am doing.

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<v Speaker 4>So I've signed up as an operating advisor for cdn

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<v Speaker 4>R based here in New York. I'm also on the

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<v Speaker 4>board of Kindrel, which was the IBM spin out of

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<v Speaker 4>the managed infrastructure business a few years ago with Martin

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<v Speaker 4>Schroeder and David and the team there at Kindrel, and

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<v Speaker 4>I'm enjoying both of those roles phenomenally well. You know,

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<v Speaker 4>creating long term value for all stakeholders is what I

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<v Speaker 4>would say gets me very, very really excited. I mean,

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<v Speaker 4>dealing with complex three dimensional problems and challenges and working

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<v Speaker 4>to create long term value, not just for shareholders or

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<v Speaker 4>the owners of a company, but really and what I

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<v Speaker 4>learned in my thirty three year career is you have

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<v Speaker 4>to invest and create value for all of the stakeholders.

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<v Speaker 4>That's your customers, the communities in which you operate, and

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<v Speaker 4>the citizens and the ultimate end consumers. Depending on where

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<v Speaker 4>you are in the value chain, would you be focused.

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<v Speaker 3>On would you consider going full time in house somewhere

0:12:32.320 --> 0:12:34.560
<v Speaker 3>and as a CFO or CEO.

0:12:36.880 --> 0:12:39.080
<v Speaker 4>Sure, I would. I mean, I'm having lots of interesting

0:12:39.120 --> 0:12:41.880
<v Speaker 4>conversations as you don't imagine. I mean, I promised myself.

0:12:42.080 --> 0:12:43.720
<v Speaker 4>A lot of the people that I've spoken with that

0:12:43.760 --> 0:12:48.439
<v Speaker 4>I respect, they say you can say yes to every conversation,

0:12:48.840 --> 0:12:51.240
<v Speaker 4>but don't say yes to anything full time for at

0:12:51.320 --> 0:12:53.640
<v Speaker 4>least six months. Give yourself a little bit of grace,

0:12:54.080 --> 0:12:57.600
<v Speaker 4>give yourself six months to really refresh and hit the

0:12:57.640 --> 0:12:59.640
<v Speaker 4>reset button. So I mean, I'm doing just that. I'm

0:12:59.640 --> 0:13:02.240
<v Speaker 4>having conversations, But I will tell you I really am

0:13:02.320 --> 0:13:05.720
<v Speaker 4>enjoying the CD and R folks. I'm enjoying being on

0:13:05.760 --> 0:13:10.319
<v Speaker 4>the board of Kindrel, and I'm really enjoying the conversations

0:13:10.320 --> 0:13:12.920
<v Speaker 4>that I'm having a bone and beyond that as well.

0:13:13.080 --> 0:13:15.640
<v Speaker 3>Hey, Carol and I were talking earlier in the day

0:13:15.720 --> 0:13:18.400
<v Speaker 3>about Archer Daniels Midland. I don't know if you saw

0:13:18.400 --> 0:13:20.160
<v Speaker 3>this news. I know you were traveling today, so forgive

0:13:20.160 --> 0:13:23.600
<v Speaker 3>me if you haven't. But Archer Daniels Midland plunged twenty

0:13:23.640 --> 0:13:26.960
<v Speaker 3>four percent, the most ever in a single day, after

0:13:27.000 --> 0:13:29.920
<v Speaker 3>the company suspended its CFO and cut its earnings out loook,

0:13:29.960 --> 0:13:33.200
<v Speaker 3>pending an investigation into its accounting practices. We should know.

0:13:33.679 --> 0:13:36.240
<v Speaker 3>That's what we know so far. No wrongdoing has been

0:13:37.080 --> 0:13:39.800
<v Speaker 3>there's no wrongdoing being accused of anyone at this point,

0:13:39.880 --> 0:13:42.920
<v Speaker 3>but there is an investigation going on. Just as a

0:13:42.920 --> 0:13:45.720
<v Speaker 3>CFO a former CFO. How do you read into something

0:13:45.760 --> 0:13:47.079
<v Speaker 3>like that, like news like that.

0:13:48.960 --> 0:13:52.000
<v Speaker 4>Yeah, Look, all I know is what I read on

0:13:52.040 --> 0:13:55.040
<v Speaker 4>Bloomberg on my phone on the way from the airport.

0:13:55.080 --> 0:13:58.360
<v Speaker 4>So I can't comment on that specific issue. What I

0:13:58.360 --> 0:14:01.199
<v Speaker 4>would say though, in terms of being a publicly traded

0:14:01.240 --> 0:14:05.120
<v Speaker 4>company or any company the United States, US gap accounting

0:14:06.000 --> 0:14:09.000
<v Speaker 4>is the Bible. It's a combination of the Old Testament,

0:14:09.040 --> 0:14:11.839
<v Speaker 4>the New Testament, to Kuran, pick your favorite, pick your

0:14:11.840 --> 0:14:15.840
<v Speaker 4>favorite religion. You have to abide by US gap accounting.

0:14:16.400 --> 0:14:18.760
<v Speaker 4>That is table stakes. Now, if all you do is

0:14:18.760 --> 0:14:21.120
<v Speaker 4>focus on the gap accounting, then you're not likely in

0:14:21.160 --> 0:14:24.320
<v Speaker 4>a great long term value for stakeholders. But you have

0:14:24.440 --> 0:14:28.960
<v Speaker 4>to start with gap accounting. It all starts and stops

0:14:28.960 --> 0:14:30.680
<v Speaker 4>at gap a county. You have to do that. So

0:14:31.120 --> 0:14:34.080
<v Speaker 4>I would imagine, you know, we'll see what happens over

0:14:34.120 --> 0:14:36.320
<v Speaker 4>the next over the next few weeks and months. Is

0:14:36.360 --> 0:14:37.400
<v Speaker 4>that story unfold?

0:14:37.520 --> 0:14:39.040
<v Speaker 2>This has been great because we've been covering so much

0:14:39.040 --> 0:14:41.480
<v Speaker 2>as kind of going on in our news today and

0:14:41.560 --> 0:14:44.000
<v Speaker 2>kind of some of the big narratives, if you will.

0:14:44.000 --> 0:14:46.120
<v Speaker 2>Having said that, politics is a big narrative, and we

0:14:46.160 --> 0:14:52.760
<v Speaker 2>know we've got the New Hampshire primary underway. Politics, how

0:14:52.760 --> 0:14:56.080
<v Speaker 2>do you believe Global CEOs us CEO should be planning

0:14:56.160 --> 0:14:58.840
<v Speaker 2>for the outcome here in the United States come November.

0:15:00.960 --> 0:15:04.920
<v Speaker 4>Look, I think you know businesses have to have to

0:15:04.960 --> 0:15:08.920
<v Speaker 4>go through many different political cycles. Right, If you're going

0:15:09.000 --> 0:15:11.560
<v Speaker 4>to be successful over the long term, you know you're

0:15:11.560 --> 0:15:16.280
<v Speaker 4>going to outlive an individual elected official if you're doing

0:15:16.480 --> 0:15:19.440
<v Speaker 4>if you're doing the service for the industry. When I

0:15:19.440 --> 0:15:23.400
<v Speaker 4>think about twenty twenty four, you know, certainly the economy.

0:15:23.560 --> 0:15:26.240
<v Speaker 4>You know, what I heard Jenet Yellen talk about the

0:15:26.280 --> 0:15:28.600
<v Speaker 4>other day was that, you know, declaring success and a

0:15:28.640 --> 0:15:32.840
<v Speaker 4>soft landing. I hope she is right. I hope we

0:15:32.920 --> 0:15:36.560
<v Speaker 4>are dealing with a soft landing. With that said, you know,

0:15:36.720 --> 0:15:40.360
<v Speaker 4>we it's never been done yet. So what I would

0:15:40.440 --> 0:15:44.320
<v Speaker 4>say to fellow CFOs out there or people who are

0:15:44.360 --> 0:15:48.480
<v Speaker 4>running companies, is, you know, prepare for a choppy twenty

0:15:48.520 --> 0:15:51.120
<v Speaker 4>twenty four. Prepare for a twenty twenty four that looked

0:15:51.160 --> 0:15:53.800
<v Speaker 4>a lot like twenty twenty three. I think for the

0:15:53.840 --> 0:15:57.800
<v Speaker 4>most part, certainly in the upstream parts of most value chains,

0:15:57.840 --> 0:16:01.400
<v Speaker 4>de stocking is most likely over. It's an open question

0:16:01.760 --> 0:16:04.720
<v Speaker 4>on whether that d stocking will come to an end

0:16:04.920 --> 0:16:08.600
<v Speaker 4>or continue to extend in some of the downstream consumer

0:16:08.680 --> 0:16:13.000
<v Speaker 4>oriented areas. But I think, you know, hoping for the best,

0:16:13.040 --> 0:16:16.080
<v Speaker 4>but preparing for something less than the best is what

0:16:16.320 --> 0:16:18.800
<v Speaker 4>you know. I always tried to do, and certainly what

0:16:19.480 --> 0:16:22.280
<v Speaker 4>multiple crises, whether you go back to the financial crisis

0:16:22.320 --> 0:16:25.120
<v Speaker 4>that we were talking about or the pandemic, you have

0:16:25.200 --> 0:16:28.600
<v Speaker 4>to do scenario planning. You have to have a plan, Howard,

0:16:28.680 --> 0:16:29.800
<v Speaker 4>a plan B and C.

0:16:30.160 --> 0:16:31.960
<v Speaker 2>We have to run, do come back. It's one of

0:16:32.000 --> 0:16:35.800
<v Speaker 2>our favorite kind of conversations, Howard Underlider. Thank you so much, Carol.

0:16:35.840 --> 0:16:37.440
<v Speaker 3>I think I told you about this last week.

0:16:37.520 --> 0:16:37.840
<v Speaker 2>Yeah.

0:16:37.840 --> 0:16:39.680
<v Speaker 3>So some good friends over at our place a couple

0:16:39.760 --> 0:16:43.560
<v Speaker 3>of weeks ago. They picked up the dad picked up

0:16:43.760 --> 0:16:46.920
<v Speaker 3>the family's holiday card, showed his family on a fall

0:16:46.960 --> 0:16:50.600
<v Speaker 3>day in Central Park, beautiful smiling leaves behind him. He said,

0:16:50.640 --> 0:16:52.720
<v Speaker 3>you want to know a secret about this card? Yeah, said, yeah,

0:16:52.720 --> 0:16:54.080
<v Speaker 3>of course I want to a secret. It's a holiday card.

0:16:54.080 --> 0:16:57.960
<v Speaker 3>They're no secrets here, he said, Okay. He used photoshops

0:16:58.000 --> 0:17:00.600
<v Speaker 3>AI feature to remove people from the photo and put

0:17:00.840 --> 0:17:03.160
<v Speaker 3>freeze back in place, so it actually makes them look

0:17:03.200 --> 0:17:05.840
<v Speaker 3>like they were alone in Central Park on a fall weekend.

0:17:06.240 --> 0:17:08.400
<v Speaker 2>That's your friend's not an expert at this time, that's

0:17:08.440 --> 0:17:08.639
<v Speaker 2>the thing.

0:17:08.720 --> 0:17:10.720
<v Speaker 3>Yeah, he No, he's a doctor. He has no idea

0:17:10.720 --> 0:17:12.639
<v Speaker 3>how like he's not trained in photoshop. Like it wouldn't

0:17:12.640 --> 0:17:13.760
<v Speaker 3>be that impressive if somebody.

0:17:13.600 --> 0:17:15.880
<v Speaker 2>But he trades a graphic artist on the side.

0:17:16.480 --> 0:17:18.240
<v Speaker 3>He said he watched a YouTube video and then it

0:17:18.280 --> 0:17:19.879
<v Speaker 3>was like he said, he called it. He was so

0:17:20.040 --> 0:17:22.040
<v Speaker 3>easy to do. I thought it was kind of cool

0:17:22.040 --> 0:17:25.440
<v Speaker 3>because like it's professional photo editing, but it's actually using

0:17:25.480 --> 0:17:27.439
<v Speaker 3>generative AI. And all he had to do was like

0:17:28.119 --> 0:17:31.520
<v Speaker 3>put the cursor over this one area and then trees appear.

0:17:31.640 --> 0:17:31.800
<v Speaker 4>Well.

0:17:31.800 --> 0:17:34.200
<v Speaker 2>Our next guest is nodding. She is in studio. We're

0:17:34.200 --> 0:17:36.439
<v Speaker 2>delighted to have with us, Ashley Still. She's senior vice

0:17:36.440 --> 0:17:39.240
<v Speaker 2>president of Creative Business at Adobe. As I said, here

0:17:39.760 --> 0:17:43.360
<v Speaker 2>at Bloomberg headquarters in New York City, you're nodding because

0:17:43.600 --> 0:17:45.520
<v Speaker 2>like anybody can do this. Now it seems like.

0:17:45.840 --> 0:17:50.000
<v Speaker 5>Yes, that is my favorite holiday card story. Now, thank

0:17:50.040 --> 0:17:52.080
<v Speaker 5>you so much for showing that. And it's great to

0:17:52.119 --> 0:17:56.240
<v Speaker 5>be here. And that really just crystallizes the power of

0:17:56.320 --> 0:18:01.320
<v Speaker 5>generative AI to make creativity more approachable or accessible to everybody.

0:18:01.680 --> 0:18:02.880
<v Speaker 3>So I think the thing that I want to talk

0:18:02.920 --> 0:18:04.439
<v Speaker 3>about with you, like we want to go a lot

0:18:04.480 --> 0:18:05.840
<v Speaker 3>of places. We want to talk about the economy in

0:18:05.880 --> 0:18:08.040
<v Speaker 3>what you're hearing from companies and sort of like the

0:18:08.080 --> 0:18:09.960
<v Speaker 3>B to B side of things. But I want to

0:18:09.960 --> 0:18:12.439
<v Speaker 3>talk about how you're leveraging AI in this different way

0:18:12.440 --> 0:18:13.959
<v Speaker 3>because I think there's a lot of concern right now

0:18:14.000 --> 0:18:16.399
<v Speaker 3>about generative AI and it being quote unquote safe and

0:18:16.480 --> 0:18:20.199
<v Speaker 3>like copyright issues. We see New York Times filing lawsuits.

0:18:21.480 --> 0:18:23.159
<v Speaker 3>What do you do at Adobe to make sure that

0:18:23.560 --> 0:18:26.520
<v Speaker 3>what you are providing customers with they can then go

0:18:26.600 --> 0:18:28.560
<v Speaker 3>put on their holiday card and they're not going to

0:18:28.560 --> 0:18:29.360
<v Speaker 3>get in trouble for it.

0:18:29.480 --> 0:18:35.520
<v Speaker 5>Absolutely, So obviously the creative community is incredibly important to us.

0:18:35.600 --> 0:18:38.200
<v Speaker 5>You know, as you mentioned, your friend is a doctor,

0:18:38.720 --> 0:18:43.280
<v Speaker 5>but many of our customers are artists and designers, but

0:18:43.400 --> 0:18:47.119
<v Speaker 5>also businesses. And so we made a decision very early

0:18:47.560 --> 0:18:51.600
<v Speaker 5>in all of our research and development around generative AI

0:18:52.119 --> 0:18:55.800
<v Speaker 5>to actually build our own foundational models and use our

0:18:55.880 --> 0:18:59.800
<v Speaker 5>own content that we have licensed to to train the models.

0:19:00.240 --> 0:19:03.879
<v Speaker 5>And that really separates us from pretty much everybody else

0:19:04.000 --> 0:19:07.760
<v Speaker 5>because our content is what we call creator friendly. It

0:19:07.840 --> 0:19:09.320
<v Speaker 5>respects the intellectual property.

0:19:09.359 --> 0:19:12.639
<v Speaker 2>If you're training with content that you guys have rights to,

0:19:12.800 --> 0:19:14.960
<v Speaker 2>it's going to stay within that universe exactly.

0:19:15.240 --> 0:19:18.120
<v Speaker 5>So we don't go scrape content from the public Internet.

0:19:18.520 --> 0:19:21.320
<v Speaker 5>We only use and we have a service called Adobe

0:19:21.320 --> 0:19:25.359
<v Speaker 5>Stock where photographers and creators all over the world have

0:19:25.480 --> 0:19:29.920
<v Speaker 5>actually contributed their content and given us a license to that.

0:19:29.960 --> 0:19:34.600
<v Speaker 5>They've been compensated for us to train to both resell

0:19:34.640 --> 0:19:38.760
<v Speaker 5>that content but also train our AI models on that content.

0:19:39.040 --> 0:19:41.440
<v Speaker 3>Take me through this decision here, because this is Adobe,

0:19:41.480 --> 0:19:43.399
<v Speaker 3>this is not Adobe's first rodeo, whereas a lot of

0:19:43.400 --> 0:19:46.360
<v Speaker 3>these startups it is their first rodeo. So when did

0:19:46.359 --> 0:19:50.360
<v Speaker 3>this decision happen and how expensive has this decision been

0:19:50.359 --> 0:19:51.919
<v Speaker 3>over the course of development.

0:19:52.320 --> 0:19:54.560
<v Speaker 5>Well, I mean we first of all, we've been developing

0:19:54.600 --> 0:19:58.480
<v Speaker 5>AI for a decade, so we're not new to needing

0:19:58.560 --> 0:20:02.680
<v Speaker 5>to think through the data that you're using to train models.

0:20:02.760 --> 0:20:06.600
<v Speaker 5>We've been uh you know, kind of building that uh

0:20:06.640 --> 0:20:09.919
<v Speaker 5>that muscle for a decade. We also have been in

0:20:09.960 --> 0:20:13.760
<v Speaker 5>the stock business for at least a decade. It's not

0:20:13.880 --> 0:20:17.800
<v Speaker 5>for the stock photos business, and uh and so from

0:20:17.880 --> 0:20:21.480
<v Speaker 5>early on we actually have had the rights to and

0:20:22.160 --> 0:20:25.840
<v Speaker 5>we realized probably again probably like at least date or

0:20:25.840 --> 0:20:30.439
<v Speaker 5>ten years ago, that we needed to expand the idea

0:20:30.520 --> 0:20:34.439
<v Speaker 5>of stock content to be not just reselling again for

0:20:34.640 --> 0:20:37.840
<v Speaker 5>licensed content, but to be using for training. So this

0:20:37.960 --> 0:20:38.880
<v Speaker 5>is actually not new.

0:20:39.240 --> 0:20:41.600
<v Speaker 2>So when you hear all the concerns and worries that

0:20:41.640 --> 0:20:43.760
<v Speaker 2>are out there. Do you think that there is somewhat

0:20:43.800 --> 0:20:47.879
<v Speaker 2>of an easy solution in terms of the worries about

0:20:48.000 --> 0:20:50.679
<v Speaker 2>kind of what generative AI can do and where it

0:20:50.720 --> 0:20:51.120
<v Speaker 2>can go.

0:20:51.640 --> 0:20:55.280
<v Speaker 5>Well, in terms of copyright, I think they're choices, right,

0:20:55.520 --> 0:20:58.159
<v Speaker 5>there's lots of lots of topics around generate event. I

0:20:58.200 --> 0:21:00.760
<v Speaker 5>mean it's in terms of but in terms of copyright,

0:21:00.800 --> 0:21:04.120
<v Speaker 5>I think it's about choices. There's models. So for example,

0:21:04.240 --> 0:21:09.840
<v Speaker 5>if you want to create a Starbucks coffee cup using Firefly,

0:21:09.960 --> 0:21:13.959
<v Speaker 5>which is our generator AIA service, you can't because we

0:21:14.119 --> 0:21:17.280
<v Speaker 5>have not we have explicitly never trained our models to

0:21:17.359 --> 0:21:20.560
<v Speaker 5>know what a Starbucks coffee cup looks like. And so

0:21:20.600 --> 0:21:22.840
<v Speaker 5>if you're and I'll get to some of the things

0:21:22.840 --> 0:21:25.879
<v Speaker 5>that we're working with companies on, we think the solution

0:21:26.000 --> 0:21:28.480
<v Speaker 5>to that is to then actually just work with Starbucks

0:21:28.480 --> 0:21:31.720
<v Speaker 5>if they want to create Starbucks coffee cups, to extend

0:21:31.720 --> 0:21:34.679
<v Speaker 5>the model with their content. Right, But if you go

0:21:34.760 --> 0:21:37.960
<v Speaker 5>to some of the other services in the market they

0:21:38.080 --> 0:21:40.240
<v Speaker 5>have trained. On the public Internet, there are plenty of

0:21:40.240 --> 0:21:43.720
<v Speaker 5>Starbucks coffee cups on the public Internet, holiday ones, regular ones,

0:21:44.119 --> 0:21:46.560
<v Speaker 5>and so there's a lot of content that it would

0:21:46.600 --> 0:21:51.040
<v Speaker 5>have been able to be trained on. But again, but

0:21:51.520 --> 0:21:53.800
<v Speaker 5>you don't have a right to that brand.

0:21:53.760 --> 0:21:57.160
<v Speaker 3>Right, So let's go there, because that's a really interesting

0:21:57.240 --> 0:21:59.639
<v Speaker 3>development in this sort of new world. I think for

0:21:59.640 --> 0:22:01.720
<v Speaker 3>a lot new for Adobe necessarily, but I think new

0:22:01.720 --> 0:22:04.000
<v Speaker 3>for a lot of people is this world of AI.

0:22:04.560 --> 0:22:07.120
<v Speaker 3>So if this partnership were to happen, who pays whom?

0:22:08.240 --> 0:22:10.760
<v Speaker 5>Oh in terms of you and Starbucks for example, Oh well,

0:22:10.920 --> 0:22:14.080
<v Speaker 5>we we see that as actually a benefit to being

0:22:15.160 --> 0:22:20.960
<v Speaker 5>a customer of Adobe that they we would enable them

0:22:21.119 --> 0:22:26.560
<v Speaker 5>to extend Firefly to uh to understand again what Starbucks

0:22:26.640 --> 0:22:29.800
<v Speaker 5>content looks like. That doesn't necessarily mean that they need

0:22:29.840 --> 0:22:33.320
<v Speaker 5>to enable that for the entire world. Okay, so it's

0:22:33.359 --> 0:22:36.080
<v Speaker 5>like it's a brand extension for their use.

0:22:36.560 --> 0:22:39.040
<v Speaker 3>Oh, I see what you're saying. So for for starbucks

0:22:39.080 --> 0:22:41.399
<v Speaker 3>own use, So they could they could help create marketing

0:22:41.480 --> 0:22:45.040
<v Speaker 3>materials using Firefly. Not necessarily. Let's say there were somebody

0:22:45.080 --> 0:22:49.080
<v Speaker 3>who was upset about a union negotiation between Starbucks and employees,

0:22:49.600 --> 0:22:52.800
<v Speaker 3>creating a Starbucks image that the company wouldn't.

0:22:52.680 --> 0:22:56.120
<v Speaker 5>Exactly and of course we could look at brand partnerships

0:22:56.160 --> 0:22:59.960
<v Speaker 5>to bring that content into the public version of our

0:23:00.160 --> 0:23:03.080
<v Speaker 5>Fly but that's not something that we've we've done yet.

0:23:03.080 --> 0:23:06.320
<v Speaker 3>Do companies want to do that? Are they scared of

0:23:06.320 --> 0:23:06.760
<v Speaker 3>that world?

0:23:07.080 --> 0:23:13.040
<v Speaker 5>I think they're first trying to understand how they use

0:23:13.240 --> 0:23:17.800
<v Speaker 5>generative AI for their own internal use cases. I think

0:23:17.840 --> 0:23:21.840
<v Speaker 5>they're thinking a little less about, you know, going back

0:23:21.880 --> 0:23:24.520
<v Speaker 5>to your friend's holiday card example, do they want to

0:23:24.560 --> 0:23:27.800
<v Speaker 5>be able to have your friend holding a coffee cup

0:23:27.880 --> 0:23:30.439
<v Speaker 5>in that image? I think they're more concerned with how

0:23:30.480 --> 0:23:33.320
<v Speaker 5>do we expand our marketing, how do we get scale

0:23:34.040 --> 0:23:36.000
<v Speaker 5>versus you know, some of those use cases.

0:23:36.080 --> 0:23:36.960
<v Speaker 2>So I only have a been a minute and a

0:23:36.960 --> 0:23:39.840
<v Speaker 2>half here left, So I am always curious about someone

0:23:39.880 --> 0:23:41.600
<v Speaker 2>in your position, right you're working with lots of different

0:23:41.640 --> 0:23:44.679
<v Speaker 2>clients finding out what they need, what they want. How

0:23:44.720 --> 0:23:47.199
<v Speaker 2>would you describe the business environment and the ease at

0:23:47.200 --> 0:23:48.760
<v Speaker 2>which companies are spending right now?

0:23:49.960 --> 0:23:52.959
<v Speaker 5>You know, I think we've been in a similar position

0:23:53.040 --> 0:23:56.280
<v Speaker 5>for a while, Like I don't. I don't think anything has.

0:23:56.200 --> 0:23:58.040
<v Speaker 2>As a year ago same as two years ago.

0:23:58.080 --> 0:23:59.960
<v Speaker 5>I think it's been the same for about a year,

0:24:00.080 --> 0:24:04.840
<v Speaker 5>particularly for large companies, where there's just more scrutiny of

0:24:05.320 --> 0:24:10.439
<v Speaker 5>big contracts and spending and really pressing to see the

0:24:10.600 --> 0:24:17.720
<v Speaker 5>ROI of these investments. I think absolutely we've seen continued

0:24:17.760 --> 0:24:21.639
<v Speaker 5>strength and digital and you know, a very significant portion

0:24:22.080 --> 0:24:25.440
<v Speaker 5>of Adobe's businesses actually through Adobe dot com, and that

0:24:25.600 --> 0:24:28.800
<v Speaker 5>has actually been really strong and certainly something.

0:24:28.560 --> 0:24:30.280
<v Speaker 2>Stronger than it was the past six months or a

0:24:30.320 --> 0:24:30.720
<v Speaker 2>year ago.

0:24:32.119 --> 0:24:35.120
<v Speaker 5>You know, it's it's been strong throughout the past year,

0:24:35.160 --> 0:24:39.080
<v Speaker 5>and particularly as you were mentioning, as we innovate in

0:24:39.119 --> 0:24:42.840
<v Speaker 5>our products like Photoshop, which generative phil and Firefly, we've

0:24:42.880 --> 0:24:47.400
<v Speaker 5>actually seen demand for our products increase. But certainly it's

0:24:47.440 --> 0:24:50.160
<v Speaker 5>both of those I would say, you know, I've seen

0:24:50.240 --> 0:24:55.760
<v Speaker 5>more scrutiny on the business side for spending and continued consumer.

0:24:55.960 --> 0:24:57.720
<v Speaker 2>Put You really explained it really well in terms of

0:24:57.760 --> 0:25:00.240
<v Speaker 2>the copyright, right the information, It sounds like any easy

0:25:00.400 --> 0:25:03.800
<v Speaker 2>fix if people just do that responsibil responsibly started.

0:25:04.280 --> 0:25:07.120
<v Speaker 3>Yeah, if they started by training in the beginning, Yeah,

0:25:07.160 --> 0:25:07.480
<v Speaker 3>you know.

0:25:07.440 --> 0:25:09.560
<v Speaker 2>We just stuff that they've got approval of license like

0:25:09.640 --> 0:25:13.840
<v Speaker 2>that is pretty amazing, so easy, right, but it works. Ashley. Thanks,

0:25:13.880 --> 0:25:15.920
<v Speaker 2>This kind of flew so hopefully we get to catch

0:25:15.960 --> 0:25:19.080
<v Speaker 2>up with you soon in the future. Ashley, Yeah, thank you.

0:25:19.160 --> 0:25:21.320
<v Speaker 2>Senior vice president of Created Business over at Adobe. As

0:25:21.320 --> 0:25:23.760
<v Speaker 2>we mentioned, she's here at our Bloomberg Interactive Broker Studio.

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<v Speaker 2>This is Bloomberg Radio.