Predictive maintenance is not the finish line
Predictive maintenance is a milestone, not the destination. Most FM organizations are not ready for the stage that comes after it.
Read the article →Writing
Publications
Articles on building data governance, leadership, innovation and the impact on, but not limited to, Facility Management & Real Estate.
ArticlesUpdated 5 September 2026
The role of leadership in creating value from technology
Faster systems rarely fail on the technology. They fail when ownership of outcomes stays implicit instead of being deliberately designed.
Read the article →Leadership beyond the hero
Leadership is no longer measured by decisiveness or visibility, but by how well the organization functions without constant intervention.
Read the article →Tokenizing smart building data as a missed revenue stream
Smart building data is becoming an economic asset. Tokenization lets owners sell controlled access to it and turn a cost center into revenue.
Read the article →Quantum computing and the ESG arithmetic of facility management
Quantum computing promises powerful optimization for buildings, but running it raises a real ESG question about whether the savings outweigh the cost.
Read the article →The quantum revolution in facility management
Quantum computing is not yet mainstream in facility management, but the groundwork laid today decides how ready an organization will be.
Read the article →The changing dynamics of facility ownership
AI is redrawing the relationship between facility owners, FM teams and occupants into a more transparent, data-driven collaboration.
Read the article →The impact of AI on the nature of FM leadership
AI is not only changing FM operations. It is reshaping what leadership itself requires, from data literacy to ethical judgment.
Read the article →The human touch of AI in facility management
As AI becomes better at reading emotion, the human role in facility management shifts toward ethics, creativity and judgment.
Read the article →AI ethics in facility management
Privacy, bias, transparency and job displacement decide whether AI in facility management earns the trust it needs.
Read the article →From narrow to superintelligence, a new era for facility management
Where a tool sits on the spectrum from narrow AI to superintelligence shapes what it can responsibly be asked to do inside a building.
Read the article →The potential of generative AI in facility management
Generative AI can sharpen maintenance, space use and energy efficiency in FM, if its energy cost and accountability gaps are taken as seriously.
Read the article →What actually drives AI adoption in facility management
Research using the UTAUT model finds that attitude predicts AI adoption in facility management better than ease of use or trust.
Read the article →Availability of new publications
Shorter observations and the ongoing conversation happen on LinkedIn. The strongest pieces are written up in full and added here roughly once a month.
These pieces are free to use inside your own organization, with attribution to The Acceleration Gap is appreciated, and I am always interested in hearing where the mechanism described does or does not match what you see.