{"success":true,"data":{"pressRelease":{"id":"148410","rtpr_id":"nGNXpcjcM-20260921","ticker":"SCHN","exchange":"Euronext Paris","all_tickers":["SCHN"],"title":"Schneider Electric finds AI-enabled buildings can cut energy use by up to 22%, save on annual utility costs and carbon","author":"Globe Newswire","published_at":"2026-09-21T12:00:01.035Z","article_body":"* Research finds AI in buildings can cut whole-building energy use by up to\n22% against traditional controls\n* Annual utility savings of $13,600 to $49,300 per building at current\ncommercial rates, with savings recurring year after year\n* Carbon avoided is more than 100 times the AI system’s own footprint\nNEW YORK, Sept. 21, 2026 (GLOBE NEWSWIRE) -- Schneider Electric\n(https://www.globenewswire.com/Tracker?data=AKGVLltmPhpdL1GznohWv-8TE7gkfG-4L3l3GVn3xE7nlml-CTFXB8PBtMHgbIvxsYkXxP66M2Nq3AB36cF0kpeUDbXIKboCEYfzdkamzHE=),\na global energy technology leader, today published new research at Climate\nWeek NYC 2026\n(https://www.globenewswire.com/Tracker?data=6FKoFYc-nUdEon5HVjmIiaZEFfzQAo_RV6rgenaebgOSlSIJvXFayurK-yKn_7UHUlj9XJkuYyO_YydzIEGvrtqqrj3GpeIsqrRVV4Q8kQ8=)\nfinding that AI-enabled buildings can cut whole-building energy use by up to\n22% against traditional controls. The research highlights annual utility\nsavings as $13,600 to $49,300 per building at current commercial rates,\nhelping organizations reduce operating costs every year with the potential to\nscale across larger portfolios. The research also finds the carbon avoided is\nmore than 100 times greater than the AI system’s footprint.\n\nAs concerns grow over AI’s environmental impact, buildings remain one of the\nworld’s largest sources of emissions, accounting for approximately 37% of\nglobal energy-related carbon emissions. Schneider Electric’s new research,\nAI for Climate: Quantifying the Energy and Carbon Impact of Building\nOptimization\n(https://www.globenewswire.com/Tracker?data=_-mhTFYfY8_OMVEhLrcBNUK10bdRG2AHdcvlfhcnOYyX3Tv5vy22iLEqQqQErdOYn4pEwyH7_3dczO6Rskjxz3B65IWvbXhRFSKKktoWOxQWlpROgLUvJWc5u6QSXOXCX158WrnwtNscITuGmN2fJorUWVIKXsSwJp0ZiQzd8_5goXCS67KRFR09m_gU6VvszK-UkeP4sTFD9XlHqYDXTEpTzuY5hF8vSXTzRMLjYjCby4uLbL_RdEwp80PStHld),\nfound that AI-driven HVAC optimization deployed through a smart building\nmanagement system can contribute 7.2-12.7% of additional building energy\nsavings. This shows how AI manages energy more intelligently, easing pressure\non building systems and the wider electric grid.\n\nOther key findings include:\n* Up to 60 metric tons of carbon emissions avoided annually per building\n(59,869kg CO₂e), comparable to the environmental benefit of planting 2,700\nmature trees(1)\n* More than 200 MWh of annual energy savings in some building scenarios,\nenough electricity to power dozens of average homes for a year\n* AI can more than double the energy savings achieved by smart building\ncontrols alone\n* Both cloud and edge AI deployments can deliver significant energy and carbon\nbenefits\n“The future of building management will be defined by how effectively\norganizations connect and contextualize data that was previously trapped in\nsilos. An AI layer on top of existing business systems can turn complexity\ninto intelligence and intelligence into action, reducing emissions, lowering\ncosts and improving performance simultaneously,” said Pankaj Sharma, EVP,\nSoftware & Services at Schneider Electric. “As energy demand continues to\nrise, the ability to deliver these outcomes together, rather than forcing\norganizations to choose between them, will be critical to achieving both\nbusiness and sustainability goals.”\n\nThe research uses building energy modeling validated against real-world pilot\ndeployments to assess how AI-enabled HVAC control impacts energy consumption,\ncarbon emissions and operating costs across Australia, India and the U.S in\ndiffering building scenarios.\n\nThe study examined how an AI layer deployed on top of digital building\nmanagement systems can connect previously siloed data sources, continuously\nanalyze building conditions, and automate HVAC optimization in real time. By\nincorporating data from occupancy patterns, weather forecasts, equipment\nperformance, and other operational inputs, AI can enable buildings to operate\nmore efficiently while reducing the burden on facility management teams.\n\nThe research also found that small and mid-sized buildings (less than 100,000\nsqft) stand to benefit significantly from AI-enabled optimization.\nHistorically, energy management systems have been considered too complex or\ncostly for smaller facilities, where dedicated facilities expertise is often\nlimited. By helping automate and simplify optimization, AI can make\nsophisticated building management more accessible, enabling smaller buildings\nto reduce energy consumption, lower operating costs and cut emissions.\n\n\"AI is putting the power of energy intelligence into the hands of smaller\nbuilding owners and operators. What once required significant expertise and\ninvestment can now be achieved more simply and at greater scale, helping\norganizations reduce energy waste, lower costs, improve performance, and make\nsmarter decisions with confidence,” added Sharma.\n\nDownload the full report: LINK\n(https://www.globenewswire.com/Tracker?data=CIueG6PyQOtmcdVJdWsa0zerbXPmb-MTQFWR7v-ZxUcJLdJy4k63ip4cX3QKPHo-_Fiwx5KQhQJ2Ad7Icm07FKKoGt95iiTWUO-3b6Bag3bss4FthIiVdgi8BYwxzhStKeuSOz72RaeHk3v9dlCKsg==).\n\nPress contact: mediarelations@se.com\n\nAbout Schneider Electric \nSchneider Electric is a global energy technology leader, driving efficiency\nand sustainability by electrifying, automating, and digitalizing industries,\nbusinesses, and homes. Its technologies enable buildings, data centers,\nfactories, infrastructure, and grids to operate as open, interconnected\necosystems, enhancing performance, resilience, and sustainability. The\nportfolio includes intelligent devices, software-defined architectures,\nAI-powered systems, digital services, and expert advisory. With 160,000\nemployees and 1 million partners in over 100 countries, Schneider Electric is\nconsistently ranked among the world’s most sustainable companies. \n\nwww.se.com\n\nLearn more about Advancing Energy Tech on Schneider Electric Insights\n(https://www.globenewswire.com/Tracker?data=AKGVLltmPhpdL1GznohWv13XdulFxe_gh3TPla7ijMfFEfisdHiduHcX52mT7U9062u66ha64CPlWRtZPwf0cqVlNyyIrLziRgL-9rq6r8Yx_qEDv5-F9xqqQIFlSoSq).\n\n________________________\n(1 )USDA Forest Service (McPherson et al., 1994)\n(https://www.globenewswire.com/Tracker?data=POvA0PMDf_3eSx-4Si9EtXz2R0gJgiMOIWpBXTHHVmPWUY68pKx_6OmB5YpsVQqKhSnmvEFJz2qhgfIRIZTcNm2mNeFKAbremodT9nC3AA43DSrAoMAmj7IkaBVPQ0TuHgDKt6w4V65VNWIMXnO91BuxfaxZlj0AHHj-0soxaQQ=)\n\nA photo accompanying this announcement is available at\nhttps://www.globenewswire.com/NewsRoom/AttachmentNg/70ce2839-2ae2-417e-a7cd-e1fb4ca99cd4\n\n(https://www.globenewswire.com/NewsRoom/AttachmentNg/3dd0c0ca-b276-49b6-b857-73ef9d00d0b0)\nSchneider Electric \n(https://www.globenewswire.com/NewsRoom/AttachmentNg/70ce2839-2ae2-417e-a7cd-e1fb4ca99cd4/en)\nSchneider Electric cover image\n\n\nGlobeNewswire, Inc. 2026","article_body_html":"","raw_payload":{"data":{"id":"nGNXpcjcM-20260921","title":"Schneider Electric finds AI-enabled buildings can cut energy use by up to 22%, save on annual utility costs and carbon","author":"Globe Newswire","ticker":"SCHN","created":"2026-09-21T12:00:01.035Z","tickers":["SCHN"],"exchange":"Euronext Paris","article_body":"* Research finds AI in buildings can cut whole-building energy use by up to\n22% against traditional controls\n* Annual utility savings of $13,600 to $49,300 per building at current\ncommercial rates, with savings recurring year after year\n* Carbon avoided is more than 100 times the AI system’s own footprint\nNEW YORK, Sept. 21, 2026 (GLOBE NEWSWIRE) -- Schneider Electric\n(https://www.globenewswire.com/Tracker?data=AKGVLltmPhpdL1GznohWv-8TE7gkfG-4L3l3GVn3xE7nlml-CTFXB8PBtMHgbIvxsYkXxP66M2Nq3AB36cF0kpeUDbXIKboCEYfzdkamzHE=),\na global energy technology leader, today published new research at Climate\nWeek NYC 2026\n(https://www.globenewswire.com/Tracker?data=6FKoFYc-nUdEon5HVjmIiaZEFfzQAo_RV6rgenaebgOSlSIJvXFayurK-yKn_7UHUlj9XJkuYyO_YydzIEGvrtqqrj3GpeIsqrRVV4Q8kQ8=)\nfinding that AI-enabled buildings can cut whole-building energy use by up to\n22% against traditional controls. The research highlights annual utility\nsavings as $13,600 to $49,300 per building at current commercial rates,\nhelping organizations reduce operating costs every year with the potential to\nscale across larger portfolios. The research also finds the carbon avoided is\nmore than 100 times greater than the AI system’s footprint.\n\nAs concerns grow over AI’s environmental impact, buildings remain one of the\nworld’s largest sources of emissions, accounting for approximately 37% of\nglobal energy-related carbon emissions. Schneider Electric’s new research,\nAI for Climate: Quantifying the Energy and Carbon Impact of Building\nOptimization\n(https://www.globenewswire.com/Tracker?data=_-mhTFYfY8_OMVEhLrcBNUK10bdRG2AHdcvlfhcnOYyX3Tv5vy22iLEqQqQErdOYn4pEwyH7_3dczO6Rskjxz3B65IWvbXhRFSKKktoWOxQWlpROgLUvJWc5u6QSXOXCX158WrnwtNscITuGmN2fJorUWVIKXsSwJp0ZiQzd8_5goXCS67KRFR09m_gU6VvszK-UkeP4sTFD9XlHqYDXTEpTzuY5hF8vSXTzRMLjYjCby4uLbL_RdEwp80PStHld),\nfound that AI-driven HVAC optimization deployed through a smart building\nmanagement system can contribute 7.2-12.7% of additional building energy\nsavings. This shows how AI manages energy more intelligently, easing pressure\non building systems and the wider electric grid.\n\nOther key findings include:\n* Up to 60 metric tons of carbon emissions avoided annually per building\n(59,869kg CO₂e), comparable to the environmental benefit of planting 2,700\nmature trees(1)\n* More than 200 MWh of annual energy savings in some building scenarios,\nenough electricity to power dozens of average homes for a year\n* AI can more than double the energy savings achieved by smart building\ncontrols alone\n* Both cloud and edge AI deployments can deliver significant energy and carbon\nbenefits\n“The future of building management will be defined by how effectively\norganizations connect and contextualize data that was previously trapped in\nsilos. An AI layer on top of existing business systems can turn complexity\ninto intelligence and intelligence into action, reducing emissions, lowering\ncosts and improving performance simultaneously,” said Pankaj Sharma, EVP,\nSoftware & Services at Schneider Electric. “As energy demand continues to\nrise, the ability to deliver these outcomes together, rather than forcing\norganizations to choose between them, will be critical to achieving both\nbusiness and sustainability goals.”\n\nThe research uses building energy modeling validated against real-world pilot\ndeployments to assess how AI-enabled HVAC control impacts energy consumption,\ncarbon emissions and operating costs across Australia, India and the U.S in\ndiffering building scenarios.\n\nThe study examined how an AI layer deployed on top of digital building\nmanagement systems can connect previously siloed data sources, continuously\nanalyze building conditions, and automate HVAC optimization in real time. By\nincorporating data from occupancy patterns, weather forecasts, equipment\nperformance, and other operational inputs, AI can enable buildings to operate\nmore efficiently while reducing the burden on facility management teams.\n\nThe research also found that small and mid-sized buildings (less than 100,000\nsqft) stand to benefit significantly from AI-enabled optimization.\nHistorically, energy management systems have been considered too complex or\ncostly for smaller facilities, where dedicated facilities expertise is often\nlimited. By helping automate and simplify optimization, AI can make\nsophisticated building management more accessible, enabling smaller buildings\nto reduce energy consumption, lower operating costs and cut emissions.\n\n\"AI is putting the power of energy intelligence into the hands of smaller\nbuilding owners and operators. What once required significant expertise and\ninvestment can now be achieved more simply and at greater scale, helping\norganizations reduce energy waste, lower costs, improve performance, and make\nsmarter decisions with confidence,” added Sharma.\n\nDownload the full report: LINK\n(https://www.globenewswire.com/Tracker?data=CIueG6PyQOtmcdVJdWsa0zerbXPmb-MTQFWR7v-ZxUcJLdJy4k63ip4cX3QKPHo-_Fiwx5KQhQJ2Ad7Icm07FKKoGt95iiTWUO-3b6Bag3bss4FthIiVdgi8BYwxzhStKeuSOz72RaeHk3v9dlCKsg==).\n\nPress contact: mediarelations@se.com\n\nAbout Schneider Electric \nSchneider Electric is a global energy technology leader, driving efficiency\nand sustainability by electrifying, automating, and digitalizing industries,\nbusinesses, and homes. Its technologies enable buildings, data centers,\nfactories, infrastructure, and grids to operate as open, interconnected\necosystems, enhancing performance, resilience, and sustainability. The\nportfolio includes intelligent devices, software-defined architectures,\nAI-powered systems, digital services, and expert advisory. With 160,000\nemployees and 1 million partners in over 100 countries, Schneider Electric is\nconsistently ranked among the world’s most sustainable companies. \n\nwww.se.com\n\nLearn more about Advancing Energy Tech on Schneider Electric Insights\n(https://www.globenewswire.com/Tracker?data=AKGVLltmPhpdL1GznohWv13XdulFxe_gh3TPla7ijMfFEfisdHiduHcX52mT7U9062u66ha64CPlWRtZPwf0cqVlNyyIrLziRgL-9rq6r8Yx_qEDv5-F9xqqQIFlSoSq).\n\n________________________\n(1 )USDA Forest Service (McPherson et al., 1994)\n(https://www.globenewswire.com/Tracker?data=POvA0PMDf_3eSx-4Si9EtXz2R0gJgiMOIWpBXTHHVmPWUY68pKx_6OmB5YpsVQqKhSnmvEFJz2qhgfIRIZTcNm2mNeFKAbremodT9nC3AA43DSrAoMAmj7IkaBVPQ0TuHgDKt6w4V65VNWIMXnO91BuxfaxZlj0AHHj-0soxaQQ=)\n\nA photo accompanying this announcement is available at\nhttps://www.globenewswire.com/NewsRoom/AttachmentNg/70ce2839-2ae2-417e-a7cd-e1fb4ca99cd4\n\n(https://www.globenewswire.com/NewsRoom/AttachmentNg/3dd0c0ca-b276-49b6-b857-73ef9d00d0b0)\nSchneider Electric \n(https://www.globenewswire.com/NewsRoom/AttachmentNg/70ce2839-2ae2-417e-a7cd-e1fb4ca99cd4/en)\nSchneider Electric cover image\n\n\nGlobeNewswire, Inc. 2026"},"type":"article","timestamp":"2026-09-21T12:00:01.09991884Z","server_sent_at_ms":1789992001099},"received_at":"2026-09-21T12:00:01.155Z","source_url":"https://www.globenewswire.com/news-release/2026/09/21/3365434/0/en/schneider-electric-finds-ai-enabled-buildings-can-cut-energy-use-by-up-to-22-save-on-annual-utility-costs-and-carbon.html"},"analysis":{"id":"137756","press_release_id":"148410","analysis_json":{"industry":{"label":"Electrical Equipment","sector":"Industrials"},"redFlags":["Company-commissioned research; savings and carbon figures are modeled projections validated only against pilot deployments, not independently audited","No commercial terms, contracts, or revenue impact disclosed despite product-adjacent framing"],"eventType":"operations_update","narrative":"Schneider Electric published research at Climate Week NYC 2026 finding that AI-enabled buildings can cut whole-building energy use by up to 22% versus traditional controls, with AI-driven HVAC optimization contributing an additional 7.2-12.7% in savings.\n\nThe study projects annual utility savings of $13,600 to $49,300 per building at current commercial rates and up to 60 metric tons of carbon avoided per building annually, which the company says is more than 100 times the AI system's own footprint.\n\nNo commercial terms, contracts, or revenue impact were disclosed; the release is company-commissioned thought leadership based on building energy modeling validated against pilot deployments in Australia, India and the U.S., supporting Schneider Electric's AI-enabled building management portfolio.","sentiment":"neutral","agentHooks":{"shouldPost":false,"suggestedAngle":"Schneider quantifies AI-driven building energy savings (up to 22%) as marketing support for its energy-management software push; treat as narrative, not a commercial catalyst."},"keyFigures":{"customDimensions":{"study_markets":["Australia","India","United States"],"annual_energy_savings":"more than 200 MWh in some building scenarios","carbon_benefit_multiple":"more than 100 times the AI system's own footprint","ai_hvac_additional_savings":"7.2%-12.7%","small_mid_building_threshold":"less than 100,000 sqft","annual_utility_savings_per_building":"$13,600-$49,300","carbon_avoided_per_building_annually":"up to 60 metric tons CO2e (59,869 kg)","whole_building_energy_reduction_up_to":"22%","buildings_share_of_global_energy_emissions":"approximately 37%"}},"namedEntities":{"people":[{"name":"Pankaj Sharma","role":"EVP, Software & Services, Schneider Electric"}],"products":["AI for Climate: Quantifying the Energy and Carbon Impact of Building Optimization","AI-enabled HVAC optimization","smart building management systems"],"companies":[{"name":"Schneider Electric","relationship":"filer; author and funder of the published research"}],"dollarAmounts":[{"amount":"$13,600 to $49,300","context":"projected annual utility savings per building at current commercial rates"}]},"materialImpact":{"score":2,"reasoning":"Thought-leadership research publication tied to Climate Week NYC; it supports Schneider Electric's AI-enabled building management narrative but discloses no commercial terms, contracts, or revenue impact. Modeled savings figures are promotional, not a fundamental event."},"tickerRelevance":{"others":[],"primary":"SCHN"},"globalImportance":20,"audienceRelevance":25,"eventTypeSecondary":[],"importanceComponents":{"tickerTier":"large-cap global issuer (Schneider Electric)","eventGravity":"thought-leadership research publication, no financial impact","commercialImpact":"none disclosed","tickerMappingNote":"Input ticker SCHN does not correspond to Schneider Electric's primary listing (Euronext Paris: SU / ADR SBGSY); primary ticker set to input value per guardrail"}},"event_type":"operations_update","event_type_secondary":null,"sentiment":"neutral","material_impact_score":2,"narrative":"Schneider Electric published research at Climate Week NYC 2026 finding that AI-enabled buildings can cut whole-building energy use by up to 22% versus traditional controls, with AI-driven HVAC optimization contributing an additional 7.2-12.7% in savings.\n\nThe study projects annual utility savings of $13,600 to $49,300 per building at current commercial rates and up to 60 metric tons of carbon avoided per building annually, which the company says is more than 100 times the AI system's own footprint.\n\nNo commercial terms, contracts, or revenue impact were disclosed; the release is company-commissioned thought leadership based on building energy modeling validated against pilot deployments in Australia, India and the U.S., supporting Schneider Electric's AI-enabled building management portfolio.","key_figures":{"customDimensions":{"study_markets":["Australia","India","United States"],"annual_energy_savings":"more than 200 MWh in some building scenarios","carbon_benefit_multiple":"more than 100 times the AI system's own footprint","ai_hvac_additional_savings":"7.2%-12.7%","small_mid_building_threshold":"less than 100,000 sqft","annual_utility_savings_per_building":"$13,600-$49,300","carbon_avoided_per_building_annually":"up to 60 metric tons CO2e (59,869 kg)","whole_building_energy_reduction_up_to":"22%","buildings_share_of_global_energy_emissions":"approximately 37%"}},"named_entities":{"people":[{"name":"Pankaj Sharma","role":"EVP, Software & Services, Schneider Electric"}],"products":["AI for Climate: Quantifying the Energy and Carbon Impact of Building Optimization","AI-enabled HVAC optimization","smart building management systems"],"companies":[{"name":"Schneider Electric","relationship":"filer; author and funder of the published research"}],"dollarAmounts":[{"amount":"$13,600 to $49,300","context":"projected annual utility savings per building at current commercial rates"}]},"model_name":"glm-5.3-flash","prompt_hash":"sha256:727b4b9429a443af","schema_hash":"sha256:05005c02d9cffac9","created_at":"2026-09-22T08:33:16.433Z","global_importance":20,"audience_relevance":25,"importance_components":{"tickerTier":"large-cap global issuer (Schneider Electric)","eventGravity":"thought-leadership research publication, no financial impact","commercialImpact":"none disclosed","tickerMappingNote":"Input ticker SCHN does not correspond to Schneider Electric's primary listing (Euronext Paris: SU / ADR SBGSY); primary ticker set to input value per guardrail"}},"durationMs":206840,"modelName":"glm-5.3-flash"}}