Artificial Intelligence Steps In to Lower Carbon Footprint of Buildings
Property companies are increasingly offering AI energy software to help cut the greenhouse-gas emissions of buildings
Property companies are increasingly offering AI energy software to help cut the greenhouse-gas emissions of buildings
Artificial intelligence is starting to help buildings go greener.
Keeping our buildings running contributed roughly 26% of global energy-related greenhouse-gas emissions in 2022, according to the International Energy Agency. For the world to reach net-zero emissions by 2050, the agency says the energy that these buildings consume per square meter (around 11 square feet) needs to decline by around 35% by 2030.
Developers and construction companies have pursued more-efficient energy use in buildings over the past couple of decades. Leadership in Energy and Environmental Design, or LEED, certifications are given to buildings that meet standards that conserve energy, water, waste and other environmental goals.

Governments are also introducing increasingly stringent energy codes for commercial spaces. Still, more than 80% of buildings don’t have smart systems to efficiently manage their energy use.
JLL, which manages billions of square feet of commercial real estate around the world, has been making a string of investments to bring AI systems to companies looking to cut their emissions. The business case: Eco-friendly buildings charge higher rents and are on the market for less time. JLL says it expects 56% of organisations to pay a premium for sustainable spaces by 2025.
“We want to make every building out there as smart as it can be,” said Ramya Ravichandar, JLL Technologies’s vice president, technology platforms—smart and sustainable buildings. “If you can’t measure what matters, you can’t make the change.”
JLL’s investments include in Turntide, a company based in Sunnyvale, Calif. that installs electric motors coupled with small computers which learn from patterns to more precisely control heating and cooling, and Envio Systems, a Berlin-based company that develops sensors to track a building’s use, occupancy and other factors to adjust lighting, cooling and similar energy-related activities.
“Do I need to keep the lights on? Do I need to turn off the air conditioning on floor three because the entire company is working from home this week?,” Ravichandar said. “If you have a system, it is relentless and constantly processing this information.”
Generally, AI building systems learn from historical patterns and the daily habits of occupants to predict and power things on and off. For instance, software and hardware that automatically manages lights, heating and cooling can help buildings cut 20% or more of their yearly energy use.
Nevertheless, hurdles remain to installing more AI systems, including gathering data from a wide range of sources in buildings, such as sensors, which often aren’t interconnected enough. “Retrofitting existing buildings with such sensors and infrastructure, as well as ensuring consistent data quality, can be resource intensive,” Ravichandar said.
AI has big potential to cut the emissions of buildings, but it is only as good as the data it learns from. Only 10% to 15% of buildings have the equipment or systems in place to gather the data needed to support AI, said Thomas Kiessling, chief technology officer of Siemens Smart Infrastructure. “AI in buildings works if you have the data,” he said. “Bad data means you can’t do any kind of schedules, rules or more sophisticated use cases around artificial intelligence. You have to have the data.”
Siemens uses AI to compare one building to a thousand similar buildings to predict what the energy savings could be after an upgrade to a smart-energy management system.
“Even if you just know the address of that commercial building, and maybe you have the energy bill, and maybe you have some high level information of what kind of HVAC brand the building uses, that is these days enough to compile a profile of the building with respect to what is likely you could reap,” Kiessling said.
Otherwise, lower-cost sensors, such as for lighting and cooling, can help save energy for companies that don’t have a sophisticated management system.
Venture-capital firm Fifth Wall’s $500 million fund is focused on decarbonising buildings and invests roughly a third of its money in startups with some kind of AI offering, both in software and hardware, the fund’s co-manager Greg Smithies said. A bigger focus is using more sustainable materials, such as concrete and steel made with renewable energy.
Smithies says AI can help with quickly and cheaply identifying where it makes economic sense to upgrade buildings, fill out permits that vary between countries, draw up mock-ups of designs and come up with chemistry for sustainable materials.
“The main message overall is we’re not going to save the planet with software, and AI is software,” Smithies said. “But AI is an interesting piece of the puzzle.”
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Office rents in Sydney, Melbourne and Brisbane are climbing at their fastest pace since the pandemic as tenants compete for premium CBD space amid tightening supply.
Australia’s major CBD office markets are recording some of their strongest rental growth since the pandemic, with businesses increasingly prioritising premium office space despite elevated geopolitical and economic uncertainty.
Knight Frank’s Australian Office Indicators Q1 2026 report found net effective rents in Sydney and Melbourne CBDs rose at their fastest annual pace since COVID-19, increasing 10.2 per cent and 6.8 per cent respectively over the 12 months to March.
Brisbane posted the strongest growth nationally, with net effective rents climbing 11.7 per cent over the same period.
The report points to a widening divide between prime CBD office towers and secondary office stock, as occupiers increasingly focus on quality, location and workplace amenity when making leasing decisions.
Knight Frank Senior Economist, Research & Consulting Alistair Read said demand remained heavily concentrated in premium assets within core CBD precincts, helping drive stronger rental growth in top-tier buildings.
“Occupier demand continues to be heavily concentrated in the most desirable CBD precincts and the highest-quality buildings, accelerating a sharp divergence between core and non-core markets,” Mr Read said.
According to the report, Sydney’s Core precinct and Melbourne’s Eastern Core significantly outperformed broader CBD markets over the past year.
“In Sydney’s Core precinct and Melbourne’s Eastern Core, net effective rents surged 14.3% and 16.1% over the past year, significantly outperforming the rest-of-CBD precincts,” Mr Read said.
The rental gap between prime and non-prime office locations has also continued to widen sharply.
“As a result, core CBD rents are now 54% higher than non-core locations in Sydney and 93% higher in Melbourne, highlighting the growing premium placed on amenity, accessibility and workplace quality,” he said.
Knight Frank said the strong rental growth across the major CBDs was being underpinned by a limited supply pipeline, with few new office developments expected to be delivered in the near term.
Mr Read said subdued construction activity was likely to support ongoing rental growth and tighter vacancy rates over the medium term, particularly for premium office towers.
“The combination of sustained demand and declining levels of new development will aid ongoing prime rental growth and lower vacancy rates over the medium term, particularly for best-in-class assets,” he said.
The report noted that current economic conditions were making new office developments increasingly difficult to justify financially.
“Economic rents remain well above expected market rents, making the construction of new office towers largely unviable, and concentrating tenant demand into existing buildings,” Mr Read said.
While suburban office markets generally remained subdued compared with CBDs, Melbourne’s Southbank precinct was identified as a relative outperformer, recording annual net effective rental growth of 2.7 per cent.
The report comes as broader Asia-Pacific office markets continue to stabilise following several years of disruption linked to hybrid work trends, inflation and rising interest rates.
Knight Frank’s separate Asia-Pacific Q1 2026 Office Highlights report found Sydney and Brisbane were among the strongest-performing office rental markets in the region, behind only Bengaluru and Tokyo for annual prime net face rental growth.
The Asia-Pacific report also found 18 of the 24 cities monitored across the region recorded stable or increasing rents in the first quarter of 2026, even as geopolitical uncertainty intensified following escalating conflict in the Middle East.
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