Charlotte, Diana, thank you so much for joining us.
Charlotte, starting with you, you just released a new report.
Tell us more about your research.
So it's the fourth edition, actually, of our BCG and CO2 AI
carbon survey, where we survey 40% of global emissions, more
than 1,800 companies.
And what we found out is that it's a bit disappointing,
honestly.
Only 9% of companies are measuring emissions
comprehensively, Scope 1, 2, and 3, and only 11% are reducing
their emissions in line with their ambitions, and it's even
lower than last year.
So Diana, despite limited progress in some of these areas,
is there a silver lining?
Yeah, definitely.
It's actually an exciting one.
So we found that 25% of organizations actually make
money from their decarbonization efforts, and it's not a little
bit.
It's about 7% of their revenue, which tends to be $200 million
net of investment.
And I think no one would shy away from $200 million to their
bottom line.
We are seeing that it's coupled essentially with cost reduction.
So people are finding ways to benefit their shareholders at
the same time as the planet, which was I think the the
spotlight this year.
What do those that lead do differently?
Super question. A few basic things, like they measure, as
Charlotte suggested, but the real advanced element is where
we think they move the needle.
So they have a climate transition plan, which is really
important because then you can actually time your cost efforts
to your to your carbon efforts.
They measure emissions at a product level, which is really
effective because it allows consumers like you and I to make
an informed choice.
And then they use artificial intelligence quite extensively
to shortcut some of the things that may otherwise take much
longer.
And Charlotte, can you expand on using AI and technology?
Sure.
AI is a massive enabler for measuring emissions and for
actually reducing faster at scale.
If you take just the progress of generative AI, what it enables
in terms of computing emissions at scale in an efficient manner,
automating all the flow of data and matching with emission
factors like the proper carbon accounting, as we call it, is a
massive accelerator for companies, especially the
largest ones, who have a massive amount of data to treat, to be
able to compute comprehensively their emissions.
And if they do that manually, it's months of work for several
people in the team just collecting the data, cleaning
the data, et cetera.
Generative AI, as we do it with CO2 AI is enabling to automate a
big part, if not all of this process.
Thank you so much.
Thank you.
Thanks.