Tools & Platforms
AI, Robotics Are Reshaping the Future of Hospitality
NetworkNewsWire Editorial Coverage
NEW YORK, Aug. 6, 2025 /PRNewswire/ — The hospitality industry is rapidly evolving as artificial intelligence (AI) and robotics bring sweeping change. Hotels that implement automation are seeing operational costs drop by 30%–40%, along with enhanced guest satisfaction and stronger revenue strategies. The AI-driven hospitality market is projected to surge to $1.46 billion by 2029 with an impressive 57.8% compound annual growth rate (CAGR), while the broader hospitality robotics sector is anticipated to expand from $24.38 billion in 2024 to $107.24 billion by 2034. At the forefront of this transformation is Nightfood Holdings Inc. (OTCQB: NGTF) (Profile), an innovator in hospitality that fuses hotel ownership with a Robotics-as-a-Service (RaaS) business model powered by AI. The company recently disclosed plans to purchase a 155-room Holiday Inn in Victorville, California, marking its debut model property featuring guest-facing robots such as food runners and laundry assistants, developed by NGTF subsidiary Skytech Automated Solutions. Nightfood also partnered with Bear Robotics to roll out these automation solutions across its entire hotel portfolio, which is expected to grow to $80 million in assets. This positions Nightfood alongside other leaders in the hospitality, food and robotics space, including Starbucks Corp. (NASDAQ: SBUX), Domino’s Pizza Inc. (NASDAQ: DPZ), Airbnb Inc. (NASDAQ: ABNB) and Richtech Robotics Inc. (NASDAQ: RR).
- Hospitality’s widespread adoption of AI and robotics reflects an industry striving to cut costs, improve service and resolve labor shortages.
- Nightfood Holdings is carefully building an $80 million portfolio of high-quality hotel assets through a series of strategic acquisitions.
- The company’s dual-pronged strategy combines predictable RaaS income with the long-term asset value of real estate.
- NGTF is at the forefront of embedding robotics and AI directly into hotel management from the ground up.
- Nightfood’s executive team brings a depth of hospitality know-how, with experience in developing more than 50 hotels and managing more than 130 properties.
Click here to view the custom infographic of the Nightfood Holdings editorial.
AI, Robotics Set to Disrupt Hospitality
According to a report by Business Research, “AI is transforming the hotel industry by optimizing revenue management, personalizing guest experiences, enhancing cybersecurity, and automating operations.” As hotels adopt tech-based amenities such as biometric check-ins, virtual previews and AI-based sustainability practices, the sector is poised to see more than 50% CAGR in the years ahead.
Market Research Futures predicts that the robotics segment in hospitality will grow at more than 71% CAGR through 2034, citing a rising preference for personalized services. “Guests are increasingly demanding personalized experiences when they travel,” the report states. “They want to be able to tailor their stay to their own needs and preferences. Hospitality robots can help to provide personalized guest experiences by offering a variety of services, such as personalized recommendations for restaurants, activities, and attractions; real-time information about hotel amenities and services; the ability to control their room temperature, lighting and other settings. By providing personalized guest experiences, hospitality robots can help to increase guest satisfaction and loyalty.”
This widespread adoption reflects an industry striving to cut costs, improve service and resolve labor shortages. Companies such as Nightfood Holdings are tapping into these trends by leveraging AI and robotics to gain a leadership position in the evolving hospitality landscape.
Strategic Vision in Real Estate Investment
Nightfood Holdings is carefully building an $80 million portfolio of high-quality hotel assets through a series of strategic acquisitions. Its aim is to create a scalable foundation for its next-gen hospitality platform. The company’s focus is on acquiring premium-branded hotels in prime locations, laying the groundwork for brand growth and operational excellence.
Nightfood recently confirmed that it is “on track to finalize due diligence and enter definitive agreements for the acquisition of two flagship hotel properties in Victorville and Rancho Mirage, California. Combined, these transactions represent approximately $80 million in institutional-grade real estate assets and serve as a cornerstone of the company’s vertically integrated hospitality and automation strategy.”
The Victorville hotel, a 155-room Holiday Inn valued at roughly $41 million, is slated for conversion into a Courtyard by Marriott. This flagship location will highlight automation upgrades and branding improvements to boost revenue and visibility. Positioned along a major corridor linking Los Angeles and Las Vegas, the property is expected to deliver strong occupancy and consistent returns.
In Rancho Mirage, Nightfood has signed a second LOI to acquire a Hilton Garden Inn, which is near Disney’s Cotino project, for approximately $37 million. The site’s proximity to a major new resort and residential hub positions it well for long-term, tourism-driven growth. Both properties will become platforms for integrating Nightfood’s proprietary AI and robotics, acting as proving grounds for broader automation deployment and performance optimization.
The company reports that both locations will be incorporated into Nightfood’s AI-driven automation system, functioning as testing grounds for robotics implementation, data collection and revenue enhancement. These acquisitions reflect a strategic emphasis on high-caliber properties with prominent brand partnerships and prime locations. Each asset is intentionally chosen to promote growth potential, maintain consistent income and contribute to a scalable business model. With ongoing portfolio expansion, Nightfood is building a distinct presence in the hospitality real estate sector, defined by quality, operational precision and technology-forward capabilities.
Recurring Tech Revenues Meet Real Estate Upside
Nightfood’s dual-pronged strategy combines predictable RaaS income with the long-term asset value of real estate. Its RaaS model involves deploying AI-powered robots that manage essential hotel functions, including food delivery, linen transport and cleaning, on a subscription basis. This offers the company recurring revenue unlinked to fluctuations in hotel bookings.
Nightfood’s Skytech Automated Solutions arm is key to this effort, developing hotel-specific robots such as concierge bots, automated trolleys and efficient cleaning units. These technologies reduce staff workload, cut expenses and elevate guest satisfaction, all while bringing in steady monthly revenue.
The company’s new properties in Victorville and Rancho Mirage will be real-time environments where these technologies are optimized and scaled. Once proven, the systems can be licensed to third-party hotel operators, extending Nightfood’s revenue stream well beyond its owned assets.
This vertically integrated model, combining robotics and AI with critical hotel ownership, creates a unique business model that balances short-term income with long-term real estate appreciation. Nightfood is poised to emerge as a leader in hospitality innovation, offering a scalable model for the future of the industry.
Leading a Tech-Driven Hospitality Future
Nightfood Holdings is at the forefront of embedding robotics and AI directly into hotel management from the ground up. Rather than layering automation as an add-on, the company designs its tech solutions as central to operations, executing tasks from guest delivery to room cleaning.
By owning the properties where these systems are deployed, Nightfood can iterate rapidly, fine-tune solutions in real time and showcase its impact to future partners. This tightly integrated strategy allows the company to simultaneously generate revenue and test new solutions at scale.
Unlike traditional hotel groups or tech firms, Nightfood is uniquely positioned to capture recurring tech revenues and capital gains from real estate. With automation pilots already underway and a growing portfolio, Nightfood is charting a course for large-scale industry transformation.
Proven Leadership Steering the Course
Nightfood’s executive team brings a depth of hospitality know-how, with experience in developing more than 50 hotels and managing more than 130 properties. The team’s combined expertise spans operations, financing and real estate, enabling precise deal execution and property optimization.
This key operational acumen helps ensure that each acquisition supports scalable growth and high guest standards. The team’s disciplined financial strategy helps mitigate risk, while targeting properties with strong brand potential and market demand.
Nightfood’s methodical investment strategy supports its expansion goals while avoiding unnecessary financial strain. Properties are chosen through detailed analysis focused on brand strength, operational efficiencies and financial return. By concentrating on high-quality assets in regions backed by lasting market demand, the company secures both reliability and opportunities for advancement.
This strategic, forward-thinking model reduces exposure while enhancing long-term value, enabling Nightfood to pursue growth without compromising fiscal discipline. Combined with its emphasis on automation and consistent income streams, company leadership is steering a well-defined plan that blends innovation with responsible financial oversight, setting the stage for lasting success.
High Tech Signals Hospitality Shift
As industries across the board increasingly embrace AI and automation, forward-thinking companies are redefining customer engagement, operational efficiency and workforce support through intelligent technology.
Starbucks Corp. has announced its first generative-AI powered solution to support green apron partners. The company said the bold innovation will unlock new possibilities for the coffeehouse leaders who serve customers around the world. According to the company, its Green Dot Assist is a virtual assistant built to help baristas in real time. Instead of flipping through manuals or searching for answers, partners can now ask questions on in-store iPads and receive instant, conversational responses. “With this new solution, we’re simplifying access to essential information in the flow of work for partners, making their jobs a little easier while they build confidence and expertise,” the company said.
Domino’s Pizza Inc. is partnering with Microsoft to create the next generation of pizza ordering and store operations with generative AI technology and cloud computing power. The company noted that it is leveraging the Microsoft Cloud and Azure OpenAI Service to transform Domino’s consumer experiences by enhancing the ordering process through personalization and simplification. Work on modernizing Domino’s store systems has evolved into developing a generative AI assistant powered by Azure OpenAI Service designed to help store managers save time on inventory management, ingredient ordering and staff scheduling; the company also noted that leveraging Azure OpenAI for the customer experience is also an important element of the collaboration.
Airbnb Inc. CEO Brian Chesky shared how the company is reinventing itself into an AI‑powered “everything app” during a recent “Decoder” interview. Chesky noted a major redesign that integrates personalized services such as private chefs, experiences and concierge-style features directly into the app ecosystem. Chesky described Airbnb’s transition from a lodging platform to a community-anchored super-app, fueled by rich user profiles, trust networks and AI personnel tools that maintain human touchpoints while enhancing efficiency. Chesky also noted that importance of adopting “founder mode,” a cultural mindset of agility and detail-oriented decision-making, to thrive in the AI era.
Richtech Robotics Inc. offers the Skylark Delivery Robot and the Richie Robot, among its robotic devices. The Skylark robot is a modular, elevator-friendly hotel device capable of handling food or package delivery, in-room service and facility floor cleaning, while the Richie robot is designed specifically as a hotel delivery robot designed to efficiently transport items to room, reducing guests’ wait time and room-service costs. These devices enhance guest services, reduce guests’ wait times and room-service costs, and relieve stress on overburdened cleaning and front-desk staff.
These developments reflect a widespread convergence of technology and service that prioritizes real-time responsiveness, personalization and scalability. As major brands invest in smart solutions to improve experience and efficiency, Nightfood’s approach echoes this momentum. Embedding advanced technology into its hospitality model, Nightfood isn’t only keeping pace, the company is also helping define what the future of seamless, tech-enabled service can look like across industries.
For more information, visit Nightfood Holdings (NGTF).
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Tools & Platforms
Why AI Adoption and Training Matter

This is Part 1 of a three-part series focusing on AI end-user adoption and training
AI has ushered in a new era, changing not only the way we work but the nature of work itself.
Organizations have been using AI to automate routine tasks, generate insights, and augment decision-making to drive productivity and enhance customer relationships. The rise of AI assistants such as Microsoft Copilot, Zoom AI Companion, and Cisco AI Assistant is undeniable – they’ve quickly become part of daily work life. And the benefits are clear. According to the Microsoft Work Trend Index, 70% of early Copilot users said they were more productive, and 68% reported that Copilot improved the quality of their work.
Despite the rapid growth of AI usage, we must ask – is AI in the workplace meeting its true potential, and are users getting the most out of it? AI offers organizations a massive opportunity to transform operations, empower workers, reduce costs, and revolutionize work – but only if employees embrace and adopt the tools available to them. Despite the hype – and hefty investments – many organizations struggle to realize the full benefits of AI due to the lack of user adoption and training strategies. This is typical of any tech adoption – McKinsey research shows that 70% of digital transformation initiatives fail due to poor adoption and change management. So, for organizations to get the most out of the money they’ve spent on AI initiatives, they have to be prepared to invest in end-user AI training.
While companies face numerous challenges when implementing AI, the biggest are often people- and process-related rather than technology-related. The 2025 BCG AI at Work 2025 Report found that the uptake of generative AI by frontline workers has stalled, primarily due to a lack of training. Only 36% of employees were satisfied with their AI training, saying they had the skills needed for AI transformation. In contrast, 79% of respondents who received more than five hours of training became regular AI users, compared with just 67% of those who received less than five hours.
AI tools are only as effective as the people who use them. While some AI assistants are intuitive, many workers aren’t sure how to integrate AI into their daily workflows for maximum benefit. Additionally, most employees are not trained as prompt engineers and don’t know how to phrase inputs to get the best results.
Training can fix these challenges.
There are a lot of reasons why an enterprise will want to invest the time and resources in training that will maximize end-user AI adoption. These include:
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Reduced User Frustration and Resistance: Many workers fear AI could replace their jobs and may be reluctant to use it. Training can alleviate concerns and show how AI complements rather than replaces human skills.
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Maximized ROI on AI Investments: Training ensures employees understand the tool’s capabilities and how to apply them to their specific workflows, extracting maximum value from the investment.
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Enhanced Security and Privacy: Proper training promotes responsible and secure AI use, reducing the risk of data leaks or compliance violations. Untrained users may unintentionally share confidential information in prompts. For example:
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A customer support rep might use AI to draft replies and include customer names, account numbers, or transaction details – potentially violating privacy regulations like GDPR, CCPA, or HIPAA.
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A marketing executive could provide proprietary information to an AI tool, which might inadvertently be stored or exposed to others.
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Despite these benefits, many organizations fail to implement comprehensive adoption and training programs. According to TalentLMS, nearly half of the employees they surveyed said that AI is advancing faster than their company’s training capabilities, while 54% report a lack of clear guidelines on AI tool usage. At some point, investing in clear AI training will be a more cost-effective measure than dealing with security and compliance fallout, or losing ground to competitors with more effective AI use policies.
End-user adoption and training are essential for successful AI deployments. Investing in these programs equips employees with the skills to fully leverage AI technologies. From drafting documents and summarizing meetings to analyzing data and assisting customers, AI can automate routine tasks and improve productivity – but only if users know how to use it effectively.
With a well-planned adoption strategy that includes end-user training and change management, organizations can unlock the full value of their AI investments. The next two parts of this series will provide field-tested guidance on how to develop and deploy end-user adoption and training programs.
Tools & Platforms
San Jose, Calif., to pilot AI tool to speed up build permitting

San Jose, California, in the heart of Silicon Valley, is testing new artificial intelligence software designed to speed up the city’s building permit process, with the goal of making it easier to build residential housing.
The pilot program, launched Thursday by the city’s Planning, Building and Code Enforcement Department, uses AI from CivCheck to pre-check applications and flag problems before they’re submitted. According to the department’s Housing Production Dashboard, more than 90% of accessory dwelling unit applications are returned to applicants due to missing information, which can delay construction. The city aims to build 62,200 units by 2031.
The pilot is part of San Jose’s larger push to use technology across government, from optimizing bus routes to installing license plate readers.
Tasha Dean, chief communications officer for Mayor Matt Mahan, called the effort a step toward “bringing government into the 21st century.”
“I think that most residents interact with their government in a few ways, right? They wait in line at the DMV, they come to their city council meeting and sit through hours of back and forth with elected officials, or they apply for and they spend weeks going back and forth with planners. These are all things that are incredibly frustrating — they’re slow, and ultimately, they reduce trust in government,” Dean said in an interview, “We’re trying to change that view [and] prove that government can be responsive to the needs of the people.”
The testing phase for building permits will begin this fall, with staff using the tool alongside manual reviews. If the pilot project proves successful, Dean said, the city will release it to the public as early as next year, first for accessory dwelling unit permits, which account for roughly a quarter of new-build permit applications, and eventually for single-family homes.
“I mean, part of the big delays and the issues that makes the housing crisis so bad in California is how long it takes,” she said. “And if we can reduce the friction there, ultimately we hope that we can get more shovels in the ground.”
Dean said the AI system could also help the city move quickly in emergencies, similar to the tool California Gov. Gavin Newsom announced last May, designed to expedite the building permit approval process in Los Angeles after the devastating Eaton and Palisades wildfires in January, which destroyed more than 16,000 homes, businesses and other buildings.
Tools & Platforms
CFOs must hone data interpretation skills in AI age, AuditBoard CEO says

Balancing growth against risk is nothing new to finance chiefs, but as CFOs look to navigate continuing economic uncertainty, alongside regulatory change, it’s a costly challenge that’s only grown more complex. The size of the governance, risk and compliance solutions market jumped over 14% to reach a valuation of $51.5 billion as of early 2025, as companies seek to hedge against regulatory and economic shifts as well as technology changes and risks, according to an April article by Securify.
In this environment, many finance chiefs are also being asked to cut down on costs amid ongoing pricing pressures, while at the same time, to find the space and resources needed to integrate emerging technologies such as artificial intelligence into their businesses.
That puts many finance chiefs in a bind: while “every CFO wants to leverage the savings associated with enhanced productivity through AI,” they also have to account for the risks that come alongside the technology — which are “enormous,” Raul Villar Jr., CEO of audit and compliance platform AuditBoard told CFO Dive.
Such risks include everything from false positives or “hallucinations” generated by AI tools, to fraud and cyberattacks utilizing the technology to unsafe practices by employees using the technology. As such, the “number one component of risk that CFOs are looking at today” surrounds where AI sits inside of their organization, Villar Jr. said in an interview.
Unraveling the AI risk tangle
Business and technology leaders have continued to shine a spotlight on AI’s potential, with many looking to tap the technology to help solve some of the challenges faced by continued economic headwinds. AI spending, especially on solutions like “agentic AI” tools that can perform tasks with little or no human supervision, has continued to jump in recent months, with a growing number of companies investing $10 million or more in the tool, CFO Dive previously reported.
In the face of all that attention, there’s “so much pressure for every CFO to be leveraging AI,” Villar Jr. said. If you’re a CFO at a public company, “it comes up on every public call. If you’re [in] a private company, your board is definitely asking you. It’s top of mind,” he said.
Villar Jr. has served as CEO for the Los Angeles, California-based AuditBoard — which offers audit and compliance software — since July of this year, according to his LinkedIn profile. Prior to the platform, he served as executive chair for business management software provider Simpro. Past roles also include a 21-year span at human resource software company APD, where he held a number of positions including serving as its SVP, sales, major account services.
As finance chiefs mull the potential return on investment of AI, however, the risks — and potential costs —associated with the technology are looming large in their minds as they seek to navigate a host of economic and regulatory challenges, including potential shifts to how AI itself is regulated.
That means CFOs have to strategically “pick their spots” when it comes to investing and integrating AI tools into their organizations, Villar Jr. said. To do so effectively, they don’t need to just understand AI capabilities and their associated risks, but the data that is being fed into the technology and the risks associated with those data sources, he said.
Keeping the focus on data
As AI becomes more commonplace inside of businesses, CFOs will face a twofold challenge: they will need to ensure the security of the data being fed into emerging AI tools, while also being able to quickly parse the insights they need from that data, he said.
“Protecting your data is critical, but turning data into insights is probably the most important thing a CFO has to learn to do because we’ve all gotten accustomed to a certain data layer…that [companies] report on,” he said.
As the technology matures, CFOs should approach their AI investment decisions similarly to how they approach headcount decisions: “It’s just another lever to pull from a productivity perspective, but each function is different and you’re going to have to pick winners and losers within your firm and test and manage quickly,” Villar Jr. said.
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