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New Research from Parker & Lawrence Reveals Infrastructure and Energy Challenges Behind the AI Boom
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New Research from Parker & Lawrence Reveals Infrastructure and Energy Challenges Behind the AI Boom

AdminBy AdminApril 18, 2025No Comments3 Mins Read
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Parker & Lawrence’s latest research analyzes survey responses from over 34,000 business leaders to understand how companies are planning to adopt and scale AI in 2025. The rapid acceleration of AI is placing enormous strain on global data center infrastructure and energy resources, which could limit the transformative potential of AI if not addressed strategically.

Across industries, business leaders are preparing for a significant increase in AI-related investment over the next five years. These plans include higher-risk applications, enterprise-wide adoption of generative AI, and the deployment of millions of AI agents—autonomous software entities capable of making decisions, initiating actions, and handling complex tasks without human intervention.

Table of Contents

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  • Agents are about to be everywhere
  • The research identifies
  • AI’s Growing Appetite Is Forcing Infrastructure Changes
  •  Conclusion

Agents are about to be everywhere

“Agents are about to be everywhere, all of the time. This is a huge business opportunity, but it also represents an enormous demand for power,” said Michael Lawrence, Co-Founder at Parker & Lawrence Research.

Even as hyperscalers like Microsoft, Google, Amazon, and Meta continue to pour billions into next-gen infrastructure, a growing list of constraints is becoming clear. Soaring demand is running headfirst into rising energy costs, limited grid access, regulatory hurdles, and geographic bottlenecks. These challenges threaten to make large-scale AI deployment unaffordable, environmentally unsustainable, or in some regions, logistically unfeasible.

The research identifies

The research identifies the 10 key trends shaping AI in 2025, covering developments in software architecture, model safety, governance, and global scale. It draws insights from 31 leading market reports representing 34,173 executive perspectives, as well as original trend analysis of 645 AI startups operating across 41 countries, which collectively raised $5.85 billion in 2024.

“AI’s infrastructure needs are outpacing available power, and companies will need to think strategically about how they scale,” said Nathan Parker, Co-Founder at Parker & Lawrence.

Parker & Lawrence’s report also highlights five startups shaping the AI agent economy in 2025, including Numbers Station, Akooda, and SplxAI.

 Download the full report: ‘Navigating the AI Revolution: A Business Leader’s Guide’

AI’s Growing Appetite Is Forcing Infrastructure Changes

Companies are rushing to keep up. Big tech firms are building new hyperscale data centers at record speeds. But even those may not be enough.

To survive this shift, they’re turning to:

  • Renewable energy sources like wind and solar
  • On-site energy storage
  • Smarter cooling systems
  • Better AI models that need fewer resources

But all of this takes time, money, and space.

In places where space is tight or energy is already stretched thin, there’s no easy fix.

 Conclusion

The AI boom isn’t slowing down. And neither is the pressure it’s putting on the systems behind it.

Data centers are at capacity. Energy grids are near their limits. And AI agents are just getting started.

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