Data Tool to Triage Exploited Vulnerabilities Can Make KEV More Useful
Summary
KEV Collider merges open-source vulnerability data to help security teams prioritize threats based on their specific needs, bridging a key cybersecurity gap.
Google's emissions surge 50 percent since 2019
Google's greenhouse gas emissions have climbed by nearly 50 percent over the past five years. The company's 2024 environmental report reveals the increase is driven by the immense energy demands of artificial intelligence.
Google's total emissions reached 14.3 million metric tons of carbon dioxide equivalent in 2023. This marks a 13 percent year-over-year increase and a 48 percent jump since 2019.
AI and data centers drive the increase
The report directly links the rising emissions to the expansion of its technical infrastructure. "This result is primarily due to increases in data center energy consumption and supply chain emissions," the company stated.
Data centers are notoriously energy-intensive, and the computational power required for AI training and inference is significantly higher than for traditional computing. Google is investing heavily in this infrastructure to compete in the generative AI race.
Google's net-zero goal faces a major challenge
This trend presents a serious obstacle to Google's climate pledge. The company has committed to reaching net-zero emissions across its operations and value chain by 2030.
"The future environmental impact of AI is complex and difficult to predict," Google acknowledged in its report. It admits that scaling up AI and the clean energy solutions needed to power it could lead to "increasing emissions in the near term."
Tech giants grapple with AI's energy cost
Google is not alone in facing this dilemma. Microsoft's emissions have also risen by roughly 30 percent since 2020, largely for similar reasons. Both companies are major investors in OpenAI.
The industry is betting that AI can eventually help solve climate challenges. However, the immediate effect is a substantial increase in electricity use and carbon footprint.
Key factors contributing to the emissions surge include:
- Increased data center energy consumption
- Higher supply chain emissions for building new infrastructure
- The carbon intensity of local power grids where data centers are located
The push for clean energy solutions
Google says it is working to mitigate the impact. The company argues it can simultaneously scale up AI and work toward its 2030 goal by:
- Investing in cleaner energy sources and carbon removal technologies
- Improving the energy efficiency of its AI models, hardware, and data centers
- Partnering with utilities and governments to promote grid decarbonization
Whether these efforts can outpace the exploding demand from AI remains the critical, unanswered question for Google and the entire tech sector.
Related Articles
HackerOS is what a Linux enthusiast’s OS should be
HackerOS is a versatile Debian-based Linux distribution with multiple editions for different users. It includes unique features like a helpful ZSH terminal and fun "hacker" commands, making it appealing for both regular users and enthusiasts.
Rising identity complexity: How CISOs can prevent it from becoming an attacker’s roadmap
Identity has evolved from simple usernames to include machines, APIs, and cloud services, massively expanding the attack surface. Modern IAM must shift from administration to active defense, focusing on continuous posture assessment, attack path analysis, and automated response to prevent breaches.
Stay in the loop
Get the best AI-curated news delivered to your inbox. No spam, unsubscribe anytime.
