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AI in Facilities Management: What Works, What Doesn’t, and Where to Start by Zac Wolf

Can artificial intelligence tools actually improve facility management? Yes—if they’re used correctly. Here’s what you need to know about this industry shift. There’s a persistent idea that the endgame for AI is complete autonomy, that the system eventually just runs itself, decisions included. That’s not where this is going, especially in facilities management. We’re not shifting from human to machine. We’re shifting from manual to augmented. Key Highlights

  • Most facilities teams are integrating AI as an enhancement to existing processes rather than replacing their systems entirely.
  • Effective AI use involves focusing on specific workflows with high volume and friction, testing small-scale solutions before expanding.
  • Data quality—accurate location, asset, provider, and work order information—is critical for AI to generate meaningful insights.
  • AI is a powerful assistant that supports human judgment, especially in context-sensitive decisions, rather than an autonomous decision-maker.
  • Layering AI into workflows where breakdowns occur naturally leads to noticeable improvements without complex system overhauls.

AI in Facilities Management: What Works, What Doesn’t, and Where to Start | Buildings

Navigating the Journey to AI-Ready Buildings by Schneider Electric

This paper explores how AI systems can be implemented and operated in commercial buildings to address the significant challenges that facility managers and building owners face today and in the immediate future. It also considers the wide range of benefits and new opportunities presented by the adoption of AI-enabled technologies and platforms, as well as all the key requirements for implementing AI in commercial buildings and across real estate portfolios. Download the paper: Navigating the Journey to AI-Ready Buildings | Buildings

The Age of Smart Light: How Digital Photonics Unlocks a New Wave of Innovation

Digital Photonics is at the core of ams OSRAM’s strategy, describing the combination of pixelated light emitters and sensors with digital interfaces turning them into intelligent systems. Digital Photonics, as we understand it, is transforming the role of light – from pure illumination to an intelligent, versatile technology that connects, senses and interacts. By combining advanced pixelated emitters, optical sensors, and digital interfaces, light becomes the foundation of a new generation of smart, programmable systems. Driven by megatrends, such as AI, AR/VR or robotics, this transformation is opening entirely new possibilities – faster, more efficient and more intuitive. Compared to conventional electronics systems, which rely on the flow of electrons, photonics systems can be faster, more energy-efficient, more resistant to interference, and more precise. These are inherent advantages based on the physics of light. [News] The Age of Smart Light: How Digital Photonics Unlocks a New Wave of Innovation – LEDinside

How AI Is Rebuilding Engineering From the Inside Out

ACEC Research Institute www.acecresearchinstitute.org releases new report concluding that most successful firms will use tech to enhance workers, not eliminate them. Artificial intelligence is fundamentally changing how engineering work gets done, while demand for infrastructure surges and the talent pipeline continues to contract. In the midst of this disruption, one thing remains constant: the irreplaceable role of the engineer. A new report from the ACEC Research Institute takes on all three forces at once — concluding from the data that the firms who thrive in the future won’t be those that replace their people with technology, but those that unleash the full potential of their engineers through it.

Key Highlights

  • AI will augment engineers’ capabilities, transforming them into designers of intelligent systems;
  • Data is a critical strategic asset; firms that effectively utilize project data will gain a competitive advantage and avoid dependency on external platforms;
  • Infrastructure is evolving into a continuous performance data source, enabling long-term lifecycle partnerships and digital twin integration;
  • The report provides a six-point strategic roadmap covering data strategy, workflow redesign, talent development, and industry collaboration;
  • Emerging AI-native engineering firms are being built around digital systems, signaling a fundamental industry shift.

The report identifies six structural ideas — organized around three themes — that define the engineering firm of the future:  How AI Is Rebuilding Engineering from the Inside Out | HPAC Engineering

3M, Microsoft Partner to Advance AI Data Center Infrastructure

3M and Microsoft announced a strategic partnership focused on AI data center infrastructure and enterprise transformation. Microsoft’s Azure Cloud and AI Infrastructure will become the first announced hyperscale cloud provider to deploy 3M’s Expanded Beam Optical (EBO) technology. 3M will also use Microsoft’s AI and digital platforms as part of its enterprise transformation across key business functions. Together, the companies will combine Microsoft’s digital and hyperscale infrastructure with 3M’s materials science and precision manufacturing to accelerate AI adoption and strengthen the physical networks required for the growth of cloud and AI workloads. 3M, Microsoft Partner to Advance AI Data Center Infrastructure

Jensen Huang Says AI Will Reshape Work Like the Industrial Revolution and the US ‘Should Absolutely Lead’

Nvidia CEO Jensen Huang thinks artificial intelligence will transform the workforce much like the Industrial Revolution did, creating new jobs and reshaping how Americans work. Speaking Thursday on “The Will Cain Show,” Huang urged young people to embrace AI rather than fear it, arguing that the technology will become a tool that enhances workers’ abilities across nearly every field. The Nvidia co-founder said the rapid expansion of AI infrastructure is already fueling demand for skilled labor, including electricians, welders and construction workers, as companies build chip manufacturing facilities, computer plants and data centers across the country. “AI is going to last a long time, and there’s no end,” he said. .Jensen Huang says AI will reshape work like the Industrial Revolution and the US ‘should absolutely lead’

President Signs AI Executive Order

President Trump signed an executive order on June 2 establishing a voluntary federal framework to address cybersecurity risks posed by advanced artificial intelligence systems. The final order asks developers of the most advanced AI models to voluntarily submit their systems for government review 30 days before public release, down from a previously proposed 90-day review period. The goal is to give federal agencies time to assess potential threats to financial systems, critical infrastructure, and national security networks. As AI-driven technologies are adopted across the economy, cybersecurity requirements throughout the electrical supply chain are likely to expand. The order signals growing federal attention to AI-related cyber risks, which could lead to new security expectations for distributors supporting energy infrastructure, industrial automation, smart buildings, data centers, and grid modernization projects. Washington Wire: Trade, Energy, Labor, and AI Policy Updates – tEDmag

BriteSwitch: Commercial Lighting Rebates Are Still Widely Available

As energy demand continues to rise, driven in part by new data centers built to support the growth of artificial intelligence, both homes and businesses are feeling the pressure of higher utility bills. For commercial customers, those increases are bringing renewed attention to energy-saving projects. One of the most familiar options, lighting upgrades, is once again becoming a way for businesses to help offset rising operating costs. Support for commercial lighting rebates remains strong and help make an even stronger case for lighting upgrades. Currently, 75% of the U.S.has access to an active commercial lighting rebate program. Rising Electric Rates Make Lighting Upgrades Worth Another Look

Successfully Incorporating AI Into Building by Gretchen Catlin

Operations Artificial Intelligence (AI) is emerging as one of the most practical tools: not as a replacement for skilled staff, but as a workforce multiplier that captures knowledge, sharpens decisions and extends the capacity of the teams we have. Key Takeaways:

  • With a large portion of the facilities workforce nearing retirement, AI can help preserve critical institutional knowledge before it is lost.
  • AI can improve facility operations by supporting predictive maintenance, analyzing data and streamlining everyday tasks such as communications, documentation and capital planning.
  • Organizations can successfully adopt AI by starting with small, practical applications while addressing cybersecurity, cost and workforce training considerations.

Successfully Incorporating AI Into Building Operations – Facilities Management Insights

A.I. Doesn’t Have to Mean Layoffs by Patricia Cohen

A French multinational, Schneider Electric, decided to use artificial intelligence in manufacturing to make workers more productive, rather than to replace them. Here’s how that’s going. For many chief executives, success in adopting artificial intelligence is measured by the number of jobs they can eliminate. But such views reflect “a very narrow understanding” of A.I.’s potential, said Erik Brynjolfsson, who directs the Digital Economy Lab  at Stanford University. It’s a message that Schneider Electric, a global energy technology company based in France, has taken to heart. Before the company started using A.I., customer service agents received thousands of questions from callers and engaged in a grand hunt through millions of pages of information to track down the answer. Now A.I. does the hunting and details how the information was selected and the source. The agent then reviews and if necessary, modifies and refines the answer with the caller. In the last three months of 2025, call centers fielded 150,000 questions. Three-quarters of the time, A.I. was able to provide the right answer to straightforward questions. I. Doesn’t Have to Mean Layoffs – The New York Times

It’s Back to School – How Some of Our Most Acknowledged Universities Got Their Name – Who were the true visionaries who would donate half of their estate to sculpting the minds of the future. These stories are monuments to history and culture. Let’s take a stroll through academia’s memory lane and uncover the origins of these storied university names!

  1. Ah, Harvard! The Ivy League giant was once a small college in the Massachusetts Bay Colony settlement called New Towne. But where did “Harvard” come from? Enter John Harvard, a clergyman who, in 1638, decided to bequeath half his estate and his library (a whopping 400 books!) to the fledgling college. Grateful for this generous gift, they promptly named the institution after him.
  2. A gem of New Haven, Connecticut, Yale is another Ivy League powerhouse known for its prestigious law and drama schools. It owes its name to Elihu Yale, a wealthy merchant who, in 1718, donated a modest shipment of goods (including portraits, books, and textiles) to a struggling collegiate school. Those goods were auctioned off, raising a much-needed £562 –a small fortune at the time.
  3. Dartmouth is renowned for its beautiful rural setting, nestled in the picturesque town of Hanover, New Hampshire. It was named after the Earl of Dartmouth, William Legge, a British nobleman who supported the college’s founding –despite never actually setting foot in America!
  4. Brown, this Rhode Island Ivy University, known for its open curriculum and emphasis on student choice, was founded with a mouthful of a name – the College in the English Colony of Rhode Island and Providence Plantations. It was renamed in 1704 for Nicholas Brown, Jr., a prominent merchant whose family donated generously to the school.
  5. Perched atop a hill overlooking Ithaca, New York, Cornell is celebrated for its diverse academic programs and its stunning natural surroundings. Founded by Ezra Cornell and Andrew Dickson White, this university was unique for its commitment to practical education, allowing students the freedom to choose their own course of study. It was a revolutionary notion at the time, which would guide a curricular reform across the country.
  6. Located in the heart of Silicon Valley, Stanford is renowned for its entrepreneurial spirit and its close ties to the tech industry. But this California powerhouse has a touching origin story. Leland Stanford, Jr., the founder’s son, tragically died young from typhoid fever. His father Leland Sr., railroad magnate and former state governor, and his mother Jane, founded the university in his memory, ensuring his legacy lived on through the pursuit of knowledge.
  7. This North Carolina research giant, known for its strong medical and law schools, underwent a bit of a name change in its history. Originally called Trinity College, it was renamed Duke University in 1924 after James Buchanan Duke, a tobacco and electric power industrialist who founded the American Tobacco Company. He established The Duke Endowment, to which he donated throughout his life and left half his estate after his death.
  8. Nestled in Nashville, Tennessee, Vanderbilt is a renowned research university with a vibrant campus life. It owes its name to “The Commodore,” Cornelius Vanderbilt, a shipping and railroad magnate, who provided the initial gift to establish the university.
  9. Texas businessman William Marsh Rice provided the initial funding for this Houston university, but did not live to see its opening. He was murdered by his valet as he slept, in a plot to forge the man’s will. Despite the unfortunate circumstances, Rice University flourished through the years, becoming an institution known for its strong engineering and science programs.
  10. Who was Harvard named after? Origin of university names