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AI Is Optimizing the Back Office, but What About the Physical Office? | PYMNTS.com

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Artificial intelligence in the back office automates repetitive cognitive tasks and helps teams quickly find and summarize the information they need.

However, companies are leaving potentially big savings on the table by not using AI to optimize their offices, factories and facilities, according to a report from commercial real estate giant JLL. Real estate costs are typically among the top three highest business expenses.

Companies incur ongoing operating expenses in commercial real estate, which include paying for leases, utilities, maintenance, repairs and the like. This is different from capital expenditures, or the amount of money spent if the company builds its own offices or plants.

By finding inefficiencies in how offices and facilities are run, AI systems can help companies renegotiate leases, consolidate under-used workspaces and optimize energy use, among other tasks, the report said.

Here are areas in commercial real estate that could yield big savings:

1. Optimize space as employees return to the office.

Using AI to predict employee office use can cut costs. By monitoring work schedules, badge swipes, office occupancy through sensors and other metrics, companies can lease the right amount of office or building space they need or downsize, according to the report.

One global financial institution saved more than $120 million a year by analyzing occupancy of its offices to determine actual office use and predict future demand, per the report.

The state of office occupancy is in flux as more companies want workers to return to the office. The PYMNTS Intelligence report “Back-to-Office Mandates Drive Demand for Fast Food, Weekend Shopping and Subscriptions” found that 63% of remote workers are back in the office full time.

About 80% work either in-office or in a hybrid setting, while 17% are fully remote, the report revealed. That’s a decline from the peak of the pandemic when half of employees worked remotely.

2. Predict energy use.

Other savings can be realized by tapping into the mounds of data the buildings themselves generate, such as electricity use, plumbing, air conditioning and ventilation metrics. AI ties this information with weather forecasts to optimize heating, cooling and electricity use in the office, according to the JLL report.

For example, the report said tools like JLL’s Hank use machine learning and real-time data to adjust HVAC systems, reducing energy expenses by as much as 40%.

The operations of buildings account for 30% of global final energy consumption and 26% of global energy-related emissions, according to the latest metrics from the International Energy Agency.

AI systems can also incorporate the use of renewable energy sources, per the JLL report. In one case, a global bank incorporated sustainability into its leasing decisions, enabling it to meet regulatory requirements and internal targets.

By fine-tuning office environments to suit employee needs, companies can also attract employees to the industry, the report said.

3. Make better financial decisions, such as whether to downsize offices.

AI systems can more quickly help companies evaluate whether to stay in the building or leave, plan locations and simplify cash flow models, among other use cases. In one example, a company generated over $250 million in capital from property sales and leasebacks, according to the report.

With 34% of commercial leases set to expire in the next two years, these decisions will become increasingly important, the report said.

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Speed Raises $8 Million to Expand Bitcoin and Stablecoin Payment Solutions | PYMNTS.com

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The company will use the new funding to build capacity, expand to new regions, develop more merchant tools, enable cross-border and creator payouts, and maintain reliability and compliance, it said in a Tuesday (Dec. 16) blog post.

Speed’s offerings include a global payment layer called Speed Merchant that is designed for merchants, platforms and payment systems and enables them to accept both Bitcoin and stablecoins, according to the post.

The company also offers a Lightning wallet called Speed Wallet that serves individuals and businesses and enables Bitcoin and stablecoin transfers, supports global payouts, offers local on- and off-ramps, and powers USDT transactions, the post said.

“We’ve always believed that Bitcoin and stablecoins can power everyday payments,” Speed CEO Niraj Patel said in the post. “That requires real infrastructure—fast, compliant and scalable. This investment validates that belief and accelerates our mission.”

Speed co-founder Jayneel Patel said in the post that the company aims to “solve real problems with technology.”

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“Speed started as a merchant solution and has grown into a global payment network,” Jayneel Patel said, adding the company is “ready to take the next leap.”

Stablecoin issuer Tether and venture fund ego death capital co-led the funding round, per the post.

Tether said in a Tuesday press release that its investment supports its strategy to support Bitcoin-aligned financial infrastructure and expand the utility of its USDT stablecoin in real-world payment environments.

“We support teams building practical infrastructure that reduces friction in payments and expands access to reliable settlement rails,” Tether CEO Paolo Ardoino said in the release.

Tether’s USDT stablecoin is the most traded cryptocurrency by volume around the world.

Adam Gebner, associate at ego death capital, said in a Tuesday blog post that Speed processed over $1.5 billion in payment volume over the past 12 months and serves more than 1.2 million users.

“By bridging Lightning and stablecoins in a single, compliant platform, Speed is positioning itself as foundational infrastructure for the Bitcoin and stablecoin economy, serving merchants, platforms and users across both developed and emerging markets,” Gebner said in the post.

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Databricks Targets $134 Billion Valuation in New Funding Round | PYMNTS.com

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Data analytics/artificial intelligence (AI) firm Databricks is reportedly raising $4 billion in a new funding round.

This Series L round would value the company at $134 billion, up 34% from its last session of funding during the summer, the Wall Street Journal (WSJ) reported Tuesday (Dec. 16).

Ali Ghodsi, Databricks’ co-founder and CEO, told the WSJ the company plans to use the new funding to invest in its core data-analytics products and AI software, while also letting its workers engage in secondary share sales.

The company, among the most valuable private firms in Silicon Valley, also plans to hire around 600 fresh college graduates in 2026, the CEO added, in addition to adding thousands of new jobs worldwide in Asia, Latin America and Europe. It also plans to hire AI researchers, who are typically paid top salaries, the WSJ added.

The report noted that Databricks has benefited from the AI boom, which relies partially on private corporate data to customize AI models. Databricks told the WSJ that its data-warehousing product, which can serve as an underlying data platform for AI services, surpassed a $1 billion revenue run rate at the end of October.

This year has seen Databricks ink deals with OpenAI and Anthropic to help sell AI services to business customers. Each of these partnerships are designed to push clients to develop AI agents, or independent bots that can carry out tasks on behalf of humans.

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The company’s new funding round comes three months after Databricks’ Series K round, which valued it more than $100 billion, up from $62 billion at the start of the year.

In other AI news, PYMNTS wrote earlier this week about The General Intelligence Company of New York, a start up developing agent-based systems designed to take over large portions of company operations.

“The company’s name deliberately evokes Gilded Age ambition, and founder Andrew Pignanelli told PYMNTS that the reference was intentional,” that report said. “He said he views AI as foundational infrastructure for the next era of company-building, much as railroads and industrial capital reshaped the United States economy more than a century ago.”

The company started by working backward from “the one-person billion-dollar business,” as Pignanelli termed it.

“We started at the end, the actual one-person billion-dollar company, and worked our way back and we were like, ‘What can we do today?’” he said.

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Apple App Store Fees Face Pressure From EU Developers | PYMNTS.com

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A collection of app developers and consumer groups want Europe to enforce laws against Apple.

The Coalition of App Fairness (CAF) on Monday (Dec. 15) issued an open letter to the European Commission (EC) accusing the tech giant of “persistent” non-compliance with Europe’s Digital Markets Act (DMA).

The letter follows findings from the EC that Apple had violated the DMA by keeping developers from directing users to alternative payment methods, fining the tech giant $588 million.

Apple in turn revised its terms for its app store to impose fees that ranged from from 13% for smaller businesses to up to 20% for App Store purchases. However, the CAF says Apple has not addressed what it calls a core issue: the company’s fees are preventing fair competition.

“The law says that gatekeepers like Apple must allow developers to offer and conduct transactions outside of the App Store free of charge,” the letter said. “However, Apple is now charging developers commission, fees of up to 20% for such transactions. This is a blatant disregard for the law with the potential to vanquish years of meaningful work by the Commission.”

The CAF also notes that Apple plans to introduce new terms and conditions for the App Store next month, and says it suspects the new terms will include fees that violate the DMA.

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“Apple cannot be permitted to exploit its gatekeeper position by holding the entire industry hostage,” the letter added.

PYMNTS has contacted Apple for comment but has not yet gotten a reply. The company had in September called on the commission to rethink the DMA, which was created to prevent market abuse by tech giants doing business in Europe.

“Over that time, it’s become clear that the DMA is leading to a worse experience for Apple users in the EU,” Apple wrote in a blog post. “It’s exposing them to new risks, and disrupting the simple, seamless way their Apple products work together. And as new technologies come out, our European users’ Apple products will only fall further behind.”

In its blog post, Apple argued the DMA requirements for allowing other app marketplaces and alternative payment systems don’t take into account the privacy and security standards of the App Store, putting customers at risk for being overcharged or scammed.

“The DMA also lets other companies request access to user data and core technologies of Apple products,” the company wrote. “Apple is required to meet almost every request, even if they create serious risks for our users.”

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