Dell Shows Why AI and Sustainability Can Make for an Enduring Couple

The News: Organizations across a wide array of industries are prioritizing meeting their ambitious sustainability and energy efficiency goals. Increasingly, artificial intelligence (AI) is becoming a trusted tool to advance the fulfillment of such goals. Today organizations are expanding their sustainability practices in accord with the uptick in government mandates and incentives to adopt carbon-neutral practices. In turn, investors are putting more emphasis on the sustainability credentials of organizations and consumers are purchasing more eco-friendly products. Read the Dell Blog here.

Dell Shows Why AI and Sustainability Can Make for an Enduring Couple

Analyst Take: The tighter coupling of AI and sustainability initiatives is gaining momentum especially across key vertical markets such as energy. For instance, AI is playing a more integral role in aiding utilities to improve efficiency and decrease detrimental emissions. Through AI-powered analytics, utilities can use improved weather and demand forecasting to prepare for turbulent weather. Oil and gas firms are using AI to analyze ground scans to pinpoint the best places to drill, reduce waste, and minimize environmental damage.

Moreover, logistics outfits are using AI to streamline routes to streamline supply chains to cut down greenhouse gas emissions (GHG). I see car manufacturers applying AI to develop algorithms and software to ease operational transitions from primarily building internal combustion engines to producing more electric vehicles. Likewise mining companies are tapping AI to locate the best places to retrieve the metals critical to manufacturing electric vehicle batteries.

I expect that AI will prove integral to the development of smart grids in the monitoring of smart light emitting diode (LED) technology to optimize grid-wide light dimming and brightening according to conditions. With AI, smart grid operators can enlist smart meters and smart appliances to deliver energy on a more efficient, reliable, and secure basis. For smart buildings, Dell is collaborating with Siemens to decrease carbon footprints by using AI and edge capabilities to augment building performance on a continuous basis.

I foresee AI in combination with satellite imagery can detect alterations in land use, vegetation, forest canopy, and natural disaster fallout to improve sustainable use practices. This includes water use optimization and decreasing the use of pesticides and fertilizers that can damage ecosystems. AI-enhanced robotics can play a pivotal role in the early detection of crop and vegetation diseases.

Key Takeaways: Dell Directly Addresses AI’s Energy Demands So AI Can Further Power Sustainability Initiatives

Dell prudently recognizes AI technology and all the sustainability benefits it can cultivate, AI applications are compute- and memory-intensive. They draw on substantial electricity sources to run the servers, data centers, and high-performance computing (HPC) engines essential to their operation. This includes storing data in massive-scale data centers to power applications such as machine learning and deep learning models.

I commend Dell for directly addressing the AI energy consumption challenge by offering solutions that target enabling customers to fulfill their sustainability targets within AI frameworks. Specifically, since 2013, Dell has decreased the energy intensity of its PowerEdge servers by 83%, based on Dell’s June 2022 internal analysis. Now only one server is required to support the workloads that required six servers in 2013. Plus, Dell PowerStore 3.0 delivers up to 60% more input/output operations per second (IOPS), per Dell internal calculations and Dell Hyperconverged Infrastructure (HCI) systems in accordance with IT sustainability goals as multiple PowerEdge servers now attain Electronic Product Environmental Assessment Tool (EPEAT) registered product status (per Global Economic Council).

Taken together, I believe Dell has elevated its overall sustainability credentials by putting product development and sales and marketing emphasis on AI’s key role in advancing customer sustainability initiatives and why AI technology itself requires its own energy efficiency and sustainability program. Dell’s moves can help assure joint AI and sustainability benefits are mutually reinforcing and lasting.

Disclosure: Futurum Research is a research and advisory firm that engages or has engaged in research, analysis, and advisory services with many technology companies, including those mentioned in this article. The author does not hold any equity positions with any company mentioned in this article.

Analysis and opinions expressed herein are specific to the analyst individually and data and other information that might have been provided for validation, not those of Futurum Research as a whole.

Other insights from Futurum Research:

Dell Q3 Revenue Down 6%, but Infrastructure Revenue Up 12%

The Six Five In the Booth with Dell’s Nick Brackney at AWS re:Invent 2022

Dell Technologies World: Dell and Snowflake Seek to Simplify Data Access and Spur Insights in the Multi-cloud Era

Image Credit: digitalleadershipforum.co.uk

Author Information

Ron is an experienced, customer-focused research expert and analyst, with over 20 years of experience in the digital and IT transformation markets, working with businesses to drive consistent revenue and sales growth.

Ron holds a Master of Arts in Public Policy from University of Nevada — Las Vegas and a Bachelor of Arts in political science/government from William and Mary.

Related Insights
Databricks AI’s GPU Reliability Push Exposes Hidden Risks for Large-Scale Training
July 3, 2026

Databricks AI’s GPU Reliability Push Exposes Hidden Risks for Large-Scale Training

Databricks AI reveals critical GPU reliability challenges in distributed training environments. Silent slowdowns and numerical corruption pose greater risks than visible failures, threatening model quality and compute efficiency at enterprise...
AI Code Review Hits a Wall: Why Speed Without Trust Risks Engineering Chaos
July 3, 2026

AI Code Review Hits a Wall: Why Speed Without Trust Risks Engineering Chaos

A survey shows 94% of engineering leaders use agentic AI coding tools, but 55% struggle with reliability and hallucinations—revealing a critical gap between development speed and production quality....
Brave's Browser Containers Raise the Bar for Privacy and Workflow Flexibility
July 3, 2026

Brave’s Browser Containers Raise the Bar for Privacy and Workflow Flexibility

As AI platform adoption accelerates to $181.3B projected market size, Brave's v1.92 release introduces native browser containers addressing data privacy concerns for 52.6% of enterprise decision makers managing multi-cloud AI...
Is Self-Healing ITOps Ready to Replace Manual Incident Response?
July 3, 2026

Is Self-Healing ITOps Ready to Replace Manual Incident Response?

LogicMonitor's AI-driven ITOps framework combines root-cause analysis with governed automation to reduce alert fatigue and accelerate issue resolution, as agentic AI reshapes enterprise infrastructure management....
Can DataRobot's Unified AI Governance Break the Silo Trap for Enterprise AI?
July 3, 2026

Can DataRobot’s Unified AI Governance Break the Silo Trap for Enterprise AI?

DataRobot's unified AI governance platform extends beyond public cloud to on-premises, edge, and air-gapped environments, directly addressing the enterprise AI fragmentation problem where visibility ends at deployment boundaries....
Oracle Makes the Case for AI Inside Everyday Leadership Workflows
July 2, 2026

Oracle Makes the Case for AI Inside Everyday Leadership Workflows

Keith Kirkpatrick, Research Director at The Futurum Group, examines how Oracle Manager Edge embeds AI-powered coaching into Oracle Cloud HCM, bringing real-time guidance into managers' daily workflows and strengthening Oracle's...

Book a Demo

Welcome

The vision behind everything in Futurum’s Custom Research practice is this: research should show you what is happening, what comes next, and what to do about it. It should be personal to each audience, easy for people to grasp, and structured so LLMs can reason over it accurately. And it should be fast and turnkey; you want answers now, not another project to carry for quarters.

Whether you are defining business, channel, or go-to-market strategy; evaluating vendors or justifying ROI; or commissioning research to fill an emerging market need, we have your back, with a program that answers your questions with the objectivity and credibility to drive real decisions.

To do it, we bring unmatched data to bear: Futurum research, surveys, and market projections; validated market feeds; ETR’s 15 years of insight from 10,000 technology decision-makers; G2’s buyer and user data; and what our analysts hear every day. Add leading primary collection, from AI-moderated voice interviews to surveys and analyst-led interviews, all turnkey, and every project comes out credible, nuanced, and actionable.

And we don’t just drop the results in your lap. For internal work, we provide analyst-led sessions, interactive dashboards, and a range of formats. For market-facing work, Futurum delivers turnkey activation and amplification that actually gets seen, by people and by LLMs, through our media and share of voice. This is research that moves decisions and markets.

We will meet you wherever you are, from a fast-turn brief to a multi-year program, and shape the work to your goals, timeline, and budget. The right program for your moment.

If any of this is useful, I would love to talk.

Benjamin Brown, VP Custom Research, Futurum Research

Benjamin Brown

VP, Custom Research · The Futurum Group

Newsletter Sign-up Form

Get important insights straight to your inbox, receive first looks at eBooks, exclusive event invitations, custom content, and more. We promise not to spam you or sell your name to anyone. You can always unsubscribe at any time.

All fields are required






Thank you, we received your request, a member of our team will be in contact with you.