WEBVTT

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Charlotte, Diana, thank you so
much for joining us.

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Charlotte, starting with you,
you just released a new report.

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Tell us more about your
research.

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So it's the fourth edition,
actually, of our BCG and CO2 AI

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carbon survey, where we survey
40% of global emissions, more

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than 1,800 companies.

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And what we found out is that
it's a bit disappointing,

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honestly.

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Only 9% of companies are
measuring emissions

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comprehensively, Scope 1, 2, and
3, and only 11% are reducing

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their emissions in line with
their ambitions, and it's even

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lower than last year.

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So Diana, despite limited
progress in some of these areas,

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is there a silver lining?

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Yeah, definitely.

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It's actually an exciting one.

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So we found that 25% of
organizations actually make

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money from their decarbonization
efforts, and it's not a little

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bit.

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It's about 7% of their revenue,
which tends to be $200 million

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net of investment.

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And I think no one would shy
away from $200 million to their

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bottom line.

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We are seeing that it's coupled
essentially with cost reduction.

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So people are finding ways to
benefit their shareholders at

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the same time as the planet,
which was I think the the

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spotlight this year.

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What do those that lead do
differently?

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Super question. A few basic
things, like they measure, as

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Charlotte suggested, but the
real advanced element is where

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we think they move the needle.

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So they have a climate
transition plan, which is really

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important because then you can
actually time your cost efforts

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to your to your carbon efforts.

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They measure emissions at a
product level, which is really

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effective because it allows
consumers like you and I to make

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an informed choice.

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And then they use artificial
intelligence quite extensively

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to shortcut some of the things
that may otherwise take much

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longer.

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And Charlotte, can you expand on
using AI and technology?

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Sure.

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AI is a massive enabler for
measuring emissions and for

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actually reducing faster at
scale.

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If you take just the progress of
generative AI, what it enables

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in terms of computing emissions
at scale in an efficient manner,

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automating all the flow of data
and matching with emission

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factors like the proper carbon
accounting, as we call it, is a

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massive accelerator for
companies, especially the

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largest ones, who have a massive
amount of data to treat, to be

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able to compute comprehensively
their emissions.

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And if they do that manually,
it's months of work for several

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people in the team just
collecting the data, cleaning

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the data, et cetera.

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Generative AI, as we do it with
CO2 AI is enabling to automate a

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big part, if not all of this
process.

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Thank you so much.

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Thank you.

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Thanks.