Disclosure Isn’t Just About Saving the Planet, It’s a Business Necessity Now, Says CDP Chief
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Disclosure Isn’t Just About Saving the Planet, It’s a Business Necessity Now, Says CDP Chief

Sherry Madera, in Baku for COP29, says more companies are reporting on climate than ever, despite a pushback against ESG.

By YUSUF KHAN
Tue, Nov 19, 2024 8:59amGrey Clock 4 min

BAKU, Azerbaijan—With more than 23,000 companies representing some $6.4 trillion of purchasing power reporting their emissions through CDP, the not-for-profit charity formerly known as the Carbon Disclosure Project is one of the leading names within the corporate sustainability space.

The U.K.-based nonprofit, which has been operating since 2000, was set up to encourage companies to disclose their environmental impact, including their carbon footprint, water usage and effects on forests and nature.

But amid a recent backlash against environmental, social and corporate governance initiatives, and as clean-energy stocks have slumped this year, concerns are growing over how important climate and sustainability reporting has become to companies. Greenhushing, the idea of companies pursuing climate plans without announcing them, has become a common practice, mainly because they fear being called out for greenwashing.

But, according to CDP Chief Executive Sherry Madera, these doubts should be put aside. A growing requirement for mandatory reporting, improved data and companies’ willingness to engage with supply chains are all signs that corporate engagement with climate and sustainability is still top of mind.

WSJ Pro Sustainable Business spoke to Madera at COP29 in Baku to discuss corporate engagement with climate and the push for company disclosures. The conversation has been edited for clarity and length.

WSJ: How will the Trump victory affect company policy around disclosures?

Madera: Climate change doesn’t start and stop with elections—and neither does climate action. Leading companies aren’t waiting to be told what to do; they’re already disclosing climate data because they know transparency equals opportunity. With 86% of the S&P 500 now voluntarily disclosing, it’s clear: U.S. companies aspiring to be global leaders understand that climate action is no longer optional—it’s a necessity. Regardless of shifting political landscapes, the competitive advantage is undeniable: those who act now will secure access to capital, reduce risks and lead in efficiency. The future isn’t just about compliance; it’s about staying ahead in a global economy where sustainability defines success. Any administration that cares about the economy has to care about data, science and climate.

WSJ:   How can you encourage the private sector to disclose more climate and supply-chain data?

Madera: CDP is 24 years old. So the idea of surfacing information for investors, customers, economists and government regulators to take action on climate is not new for us. But it’s really come into its own in the last few years when disclosures became mandatory in many places around the world or have been signposted to be mandatory in the next few years.

I think that there’s a real shift in thinking about just setting targets versus now implementation. If we find ways of making sure that the money flows to more sustainable investment options, I think that really underpins what we as economies are trying to do.

There’s a lot of talk about the pushback, but the data doesn’t show that for us. So year-on-year we’re growing at about 24% voluntary disclosures from companies worldwide and that includes countries that don’t have a mandatory disclosure plan in place, i.e. the U.S.

Businesses are willing [to disclose] not because they necessarily have the primary directive of saving the planet but they’re willing to share information and to disclose data because it’s a business necessity now.

WSJ:   How do you see corporate disclosures evolving over the next few years?

Madera: I see more mandatory disclosure is coming into place around the world and I think that’s a great thing. CDP has been encouraging this for decades so that’s great with the qualifier that says actually harmonising what is being asked for from a mandatory perspective is advantageous.

The reality is if you look at principles, frameworks, standards and data, the data is quite consistent and it’s just about making sure you’re mapping it and tagging that data so it doesn’t need to be written multiple times. And that efficiency I think is going to be really important because essentially every dollar you spend on reporting is a dollar you can’t spend on action and that doesn’t seem right.

WSJ: Do you see the role of the chief sustainability officer evolving and becoming more aligned with the chief financial officer? Would that be a good thing?

Madera : I think it’s a good thing. The CFO needs to be convinced that there is value in investing in servicing this information, in disclosing and being transparent. So being closely linked to other elements of the business, particularly the CFO who really has a say on the money that’s being spent.

CDP works with over 300 of the world’s largest supply chain owners and they’re very keen on looking at their scope 3. Not because they just want to report on it, but because they want to actually dig into the data so that they can work with their supply chain to find out ways that they can lower their emissions.

A great example of this is Walmart. So the Walmart gigaton project is something that CDP was closely involved in setting up and they came in and then the project was to lower emissions by a gigaton in about 15 years and they came in and achieved that six years early and they did that because they looked at the data from their supply chain and they actively engaged with those members and supply chain in order to be able to help them change their energy mix, helping them to find renewables as an alternative.

WSJ:   With fewer companies expected to attend COP this year, how will you encourage more of them to disclose?

Madera: I have the luxury of speaking to many international corporations as well as private companies and the main thing they say to me is they want clear policy because that allows them to have very clear steer on how it is that they can build their business to be a sustainable business.

What I would hope we can see more of particularly starting now and going all the way through to COP30 in Brazil, is that deeper engagement of companies that are working within these jurisdictions to be able to know really clearly what it is that they are going to be asked to contribute to those national goals and be an important part of them.

WSJ:   Do governments influence company climate policy?

Madera: In 2024, I think over 70% of the world’s population has gone, or will go to the polls and obviously climate isn’t the only issue, but it is one of the issues in various places around the world.

Businesses do want clear signposting in terms of policies and in terms of government support or encouragement. More companies are continuing to disclose to ensure that they’re competitive.

But they’re also tending to be quieter about it than they were a couple of years ago. Before they were proudly screaming from the rooftops that they were transparent, and they were setting targets and they were making progress and these are their transition plans. What we’re finding is that they’re disclosing the data, but they’re doing so with less fanfare and less engagement with us to try and promote themselves.

So they’re keeping their heads below the parapets, it doesn’t mean that the data is not there and it’s not moving.



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Technology and semiconductor shares fell sharply as investors questioned the debt financing the AI infrastructure boom and confronted higher rates and Chinese competition.

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The AI Boom Faces Its First Serious Debt Test

Technology and semiconductor shares fell sharply as investors questioned the debt financing the AI infrastructure boom and confronted higher rates and Chinese competition.

By Ruba Jaajaa
Mon, Oct 19, 2026 4 min

A sharp technology sell-off has exposed a new anxiety on global markets: whether the enormous borrowing behind the artificial-intelligence infrastructure boom can generate sufficient returns as interest rates rise and Chinese competition intensifies.

The artificial-intelligence investment boom has powered technology shares, semiconductor manufacturers and data-centre operators to extraordinary heights. Last week, investors were given a reminder that much of this expansion is being built with borrowed money.

The technology-heavy Nasdaq Composite fell 4.5 per cent over the week ended October 16, its weakest performance since late June. Semiconductor shares suffered an even deeper correction, with the Philadelphia Semiconductor Index losing about 11.4 per cent.

The selling spread quickly through global markets. Micron Technology fell 14.6 per cent over the week, while South Korea’s Samsung Electronics and SK Hynix dropped approximately 18 per cent and 24 per cent respectively.

This was more than a routine bout of profit-taking. Investors were reassessing three interconnected risks: higher interest rates, the rapidly expanding debt burden attached to AI infrastructure and the prospect of stronger competition from Chinese memory-chip manufacturers.

The debt behind the AI build-out

Artificial intelligence requires a physical infrastructure network of enormous scale. Data centres must be built, advanced processors purchased, power supplies secured and cooling systems installed before customers begin generating meaningful revenue from them.

Technology companies are increasingly supplementing their own cash with corporate bonds, syndicated loans, equipment leases, private credit and project-level financing.

JPMorgan describes the emerging funding model as a combination of conventional corporate borrowing and project finance tied to individual data-centre assets. In Australia, the Reserve Bank estimates that syndicated loans accounted for approximately three-quarters of data-centre financing during 2025 and 2026 to date.

The numbers are becoming large enough to affect broader credit markets. The Federal Reserve Bank of Dallas has cited Wall Street estimates suggesting AI-related investment-grade bond issuance could approach US$300 billion in 2026 alone.

That borrowing is not automatically problematic. Debt can be an efficient way to finance long-lived infrastructure when future revenue is sufficiently predictable. The concern is that AI technology, customer demand and computing economics are changing much faster than the repayment schedules attached to the assets.

A data centre financed today may carry debt for years. Investors must therefore make assumptions about future utilisation rates, electricity prices, chip performance, customer concentration and the amount businesses will ultimately pay for AI computing.

When interest rates rise, those assumptions become less forgiving.

Inflation changes the calculation

September’s US inflation data intensified the pressure. Consumer prices increased 3.7 per cent over the year, ahead of market expectations and up from 3.4 per cent in August.

The hotter reading reduced confidence that interest rates would fall quickly and pushed bond yields higher. That matters particularly for companies whose valuations depend on profits expected well into the future, as well as highly leveraged infrastructure operators that may need to refinance.

CoreWeave has emerged as a closely watched test case. The specialist cloud-computing company has accumulated substantial debt and lease obligations to build AI capacity, while relying on a concentrated group of large technology customers.

Its shares fell sharply during the sell-off, while the cost of insuring its debt against default climbed. CoreWeave has argued that its contracted backlog more than covers its obligations and that financial markets do not always understand its business model. Nevertheless, its securities have become a proxy for investor confidence in debt-funded AI infrastructure.

Oracle, another major investor in AI computing capacity, fell 8.8 per cent in Friday trading, while CoreWeave dropped 15.5 per cent.

The question is shifting from how much AI infrastructure can be built to how profitably it can be operated.

China adds another source of pressure

Interest rates were not the only catalyst. Reports of advances by Chinese memory-chip producer ChangXin Memory Technologies raised concerns that lower-cost Chinese products could increase competition across the global semiconductor industry.

Memory chips are essential to AI systems, but the industry is historically cyclical. Periods of tight supply and high pricing can encourage rapid investment, eventually producing oversupply and falling margins.

The prospect of a well-funded Chinese competitor expanding its technological capabilities unsettled investors in Samsung, SK Hynix and Micron. It also demonstrated that AI-related demand does not insulate chipmakers from conventional competitive pressures.

That combination—slower rate cuts, more expensive financing and potentially cheaper supply—challenged the assumption that every company exposed to AI would enjoy continually expanding margins.

A reset rather than the end of the boom

The sell-off does not establish that the AI boom is ending. Demand for computing power remains strong, the largest technology companies continue to generate formidable cash flows and many infrastructure projects are backed by long-term customer contracts.

What has changed is the market’s willingness to overlook the price and financing structure of that growth.

The most resilient companies are likely to be those able to fund investment from operating cash flow, secure long-duration customers and demonstrate that new capacity will earn returns comfortably above its financing costs.

More speculative operators may face greater scrutiny, particularly where debt is expensive, customers are concentrated or expected revenue depends on demand that has not yet materialised.

For Australian investors, the lesson extends beyond US technology shares. Local data-centre operators, infrastructure funds, electricity suppliers and property groups are increasingly exposed to the same investment cycle.

Artificial intelligence may remain one of the defining growth themes of the decade. But last week’s correction showed that enthusiasm for the technology does not eliminate financial discipline.

The next stage of the AI boom will be judged not only by computing power, model performance or demand for chips, but by something more traditional: whether the assets being financed can generate enough cash to repay the money borrowed to build them.

Fact box

Nasdaq Composite: Down 4.5 per cent for the week ended October 16, 2026

Philadelphia Semiconductor Index: Down approximately 11.4 per cent

Micron Technology: Down approximately 14.6 per cent

Samsung Electronics: Down approximately 18 per cent

SK Hynix: Down approximately 24 per cent

US September inflation: 3.7 per cent annually

Estimated 2026 AI-related investment-grade issuance: Approximately US$300 billion

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