August 2026
“Building technology is about more than writing code. It's about creating tools that help people make better decisions. As Distinguished Engineer at RepRisk, I'm fascinated by how technology, data, and human judgment come together. Throughout my career, I've seen firsthand the value of high-quality data in bringing clarity to complex challenges. I'm therefore excited to share our latest 20/20 data insight with you.”
Karoly Guba
Distinguished Engineer
# More compute, more power, more capital, more scrutiny
Greenwashing begins in disclosures. Detection starts where disclosures end.
Artificial intelligence is transforming industries, attracting unprecedented levels of investment, and accelerating innovation at remarkable speed. Yet as the AI ecosystem expands, so does public scrutiny.
RepRisk data shows that greenwashing risk is growing alongside the AI buildout, clustering around the companies building, powering, and financing the infrastructure that makes AI possible. As the AI boom accelerates, scrutiny is spreading across the value chain that underpins the technology.
This shift reflects a broader pattern observed throughout RepRisk’s 20-year history: as industries evolve, scrutiny follows. New technologies create new opportunities, but they also introduce new expectations around transparency, accountability, and business conduct.
What makes AI particularly noteworthy is the scale and complexity of its supporting ecosystem. Data centers, energy providers, hardware manufacturers, investors, and supply chain partners all play a role in enabling growth. As a result, stakeholders are looking beyond claims and examining whether companies' actions, investments, and business practices align with their commitments and public expectations.
For organizations operating across the AI value chain, this creates both challenges and opportunities. Understanding where scrutiny is emerging and how risk is evolving can help businesses anticipate issues before they escalate, protect value, and build resilience in a rapidly changing environment.Financial institutions play a particularly important role in this landscape. As providers of capital, they help shape which technologies, infrastructure projects, and business models scale. This also means that scrutiny extends beyond AI developers themselves to the banks, investors, and asset managers financing the buildout. Understanding emerging business conduct risks across the AI value chain enables financial institutions to identify potential exposures earlier, strengthen due diligence, and make more informed investment and financing decisions.
As AI continues to reshape the global economy, growth and risk are evolving in parallel. Independent, transparent risk intelligence is essential for understanding not only where new opportunities are emerging, but also where risks are accumulating. The future of AI will be shaped not only by innovation, but also by how responsibly and transparently that innovation is delivered.
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