×
Businesses are finding more energy efficient ways to use AI
Written by
Published on
Join our daily newsletter for breaking news, product launches and deals, research breakdowns, and other industry-leading AI coverage
Join Now

The evolving landscape of AI and power consumption: Recent trends indicate that businesses are finding ways to harness the power of generative AI without sacrificing energy efficiency or sustainability goals.

  • Initial adoption of generative AI raised concerns about increased power consumption and a potential shift away from efficiency and sustainability priorities.
  • Aberdeen research in 2023 revealed a slight decline in commitments to reducing power consumption as companies rushed to deploy AI infrastructure.
  • However, the latest data suggests that organizations are now taking a more balanced approach, leveraging AI while simultaneously working to reduce energy usage and costs.

Current state of AI adoption: A new Aberdeen survey provides insight into the widespread integration of AI across various industries and the strategic approach businesses are taking.

  • Over 90% of organizations are now utilizing AI in some capacity, highlighting its pervasive influence across sectors.
  • Approximately 25% of businesses are making dedicated strategic investments in AI, with this figure expected to grow by 20% within the next six months.
  • Companies are increasingly adopting a practical, efficiency-focused approach to AI implementation, moving away from the initial rush to deploy without consideration for resource consumption.

Shifting technology priorities: The survey reveals a notable change in the technologies businesses are prioritizing for AI implementation, reflecting a more nuanced understanding of AI’s requirements.

  • GPUs, once considered essential for AI processing, have dropped to fourth place in the list of technologies purchased for AI applications.
  • Storage solutions and hybrid cloud technologies have surpassed GPUs in priority, indicating a shift towards more efficient and flexible AI infrastructure.
  • Many organizations are opting for small, custom language models that require less computing power, demonstrating a move towards more tailored and resource-conscious AI solutions.

Renewed focus on energy efficiency: As businesses gain experience with AI implementation, there’s a growing awareness of the importance of balancing technological advancement with sustainability goals.

  • The survey noted a 10% increase in concerns about power consumption among organizations implementing AI.
  • This uptick in awareness suggests that companies are realizing they can benefit from AI without compromising their efficiency objectives.
  • The trend indicates a maturation in the approach to AI adoption, with businesses seeking to align technological innovation with broader sustainability initiatives.

Advancements in AI efficiency: Researchers and technology vendors are actively working on solutions to address the power consumption challenges associated with generative AI.

  • Ongoing research is exploring new techniques that could significantly reduce the energy requirements of generative AI systems.
  • Major technology vendors are developing more efficient servers and systems specifically designed for AI workloads, aiming to minimize power consumption without sacrificing performance.
  • These developments suggest that the perceived trade-off between generative AI capabilities and power conservation may soon become obsolete.

Implications for the future: The convergence of AI advancement and energy efficiency efforts points to a more sustainable path forward for the technology sector.

  • The era of viewing generative AI and power conservation as mutually exclusive goals appears to be ending.
  • Businesses are increasingly finding ways to leverage AI’s benefits while simultaneously meeting or exceeding their power savings targets.
  • This trend could lead to more widespread adoption of AI technologies across industries, as concerns about excessive energy consumption are addressed.

Analyzing deeper: The evolving approach to AI implementation reflects a broader shift in the tech industry towards more responsible and sustainable innovation.

  • The initial excitement and rush to adopt AI technologies are giving way to more thoughtful, strategic implementations that consider long-term sustainability.
  • This trend may encourage further research and development into energy-efficient AI technologies, potentially leading to breakthroughs that could benefit other areas of computing as well.
  • As businesses continue to balance technological advancement with sustainability goals, we may see the emergence of new best practices and standards for responsible AI deployment across industries.
Generative AI doesn't have to be a power hog after all

Recent News

Baidu reports steepest revenue drop in 2 years amid slowdown

China's tech giant Baidu saw revenue drop 3% despite major AI investments, signaling broader challenges for the nation's technology sector amid economic headwinds.

How to manage risk in the age of AI

A conversation with Palo Alto Networks CEO about his approach to innovation as new technologies and risks emerge.

How to balance bold, responsible and successful AI deployment

Major companies are establishing AI governance structures and training programs while racing to deploy generative AI for competitive advantage.