
Artificial intelligence has become part of everyday life in many businesses – but by 2026, it will become a structural imperative. The focus is no longer on testing individual tools, but on the question of how AI can be deployed reliably, effectively, and across the entire organization. Examples from tourism, events, and organizations already demonstrate today how scaling works in practice – and where AI specifically reduces the workload.
A clear turning point is emerging for the year 2026. The company-wide deployment of AI is taking center stage. This is the conclusion reached by Hamburg-based AI expert and interim manager Eckhart Hilgenstock, who has analyzed numerous national and international studies on the development of artificial intelligence. His conclusion is clear: “Following the pilot project phase in 2024/25, many companies are aiming to scale AI within their organizations by 2026.”
The studies analyzed by Hilgenstock all show that more and more companies are actively integrating AI into their processes. The focus is shifting away from individual test applications toward organization-wide adoption. The goal is to extend the efficiency gains from pilot projects to other areas. AI applications are increasingly being deployed across departmental boundaries – from sales and back office to operational processes, finance, and human resources.
Hilgenstock interprets this development as follows: “The first-mover advantage enjoyed by the pioneers from 2023 to 2025 is now paying off through a scaling advantage for those who can quickly adapt their experiences and integrate them into their organization.”
A key finding of the studies is the measurable economic benefit of AI. The Accenture report shows that generative AI automates manual, administrative tasks and enables productivity gains of up to 40 percent – for example, in reporting, data analysis, or content creation. IBM confirms significant cost savings through strategically implemented AI, such as via optimized operational processes or automated document processing. BCG emphasizes that AI not only boosts efficiency but also improves the quality of decisions because executives can access reliable data more quickly. For Hilgenstock, the key point is: “Strategy must not be an excuse for a vision without profitability.”
According to the United Interim Economic Report 2025, many companies are currently focused on identifying concrete and economically viable use cases for AI. Implementation often begins in clearly defined areas such as business development or back-office operations and is subsequently expanded. Hilgenstock describes this approach as sensible – with one clear caveat: “Beyond the pilot phase, it is essential to consider scaling from the very start of every single project.”
Studies also show that the success of AI projects does not depend solely on technology. Corporate culture and leadership play a central role. KPMG analyses emphasize that employee trust is crucial. If there is a fear of being replaced by AI, implementation projects often encounter resistance. Hilgenstock describes this dynamic from a practical perspective: “If employees are afraid that AI will replace them, they will more or less openly boycott any AI implementation.”
That is why it is crucial to demonstrate early on how AI provides concrete support. An example: “When the sales team sees how AI tools can be used to generate leads and win new contracts, they’re immediately on board.” Roles are also changing at the executive level. Studies such as “Careers with AI” show that AI is perceived not only as a risk but also as a professional opportunity, especially for those who establish themselves as competent points of contact within the company.
This trend is particularly evident in tourism, hospitality, and destination-based organizations. The industry is characterized by complex processes, seasonal peaks, numerous interfaces, and significant coordination efforts – ranging from visitor flows and infrastructure to financing, mobility, and public spaces. At the same time, many businesses lack the resources to test new technologies risk-free or integrate them strategically.
To ensure that AI does not remain confined to isolated flagship projects, structured approaches, secure test environments, and practical support are needed. This is precisely where it becomes clear why, in addition to internal company initiatives, public innovation infrastructures play a central role – especially for small and medium-sized enterprises in tourism.
While many companies have recognized the benefits of AI, they often lack the resources, expertise, or secure testing environments. This is precisely where European Digital Innovation Hubs (EDIHs) come in.
The EDIH Crowd in Motion – AI supports businesses and public institutions in the fields of tourism, mobility, sports, and well-being in their digital transformation. Following a successful first funding period, the hub will continue its work starting in 2026 with an expanded scope. Provincial Councilor Daniela Gutschi emphasizes its importance for tourism: The hub provides easy access to AI, cutting-edge technology, and European expertise, creating additional momentum for value creation, skills development, and international networking. Coordinator Olivia Zechner highlights the expanded focus: Starting in 2026, more than half of the services will be specifically dedicated to artificial intelligence – including an AI helpdesk, connections to European AI infrastructures, and enhanced funding opportunities.
Even during the first funding period, Crowd in Motion demonstrated how AI can be put to practical use:
These examples illustrate how digital innovation and AI address specific challenges in tourism and destination-related structures.
In addition to strategy and infrastructure, another aspect is coming into focus: the significant time spent on organizational tasks. According to a study commissioned by Perk, employees lose an average of about seven hours a week to so-called “shadow work” – administrative tasks outside their core competencies. This is where Perk’s new event solution comes in. With Perk Events, the company automates the entire planning of team events – from venue search and group bookings to travel coordination for up to 5,000 people. President & COO Jean-Christophe Taunay-Bucalo describes the problem as follows: “Events are one of the biggest sources of indirect work—they rob teams of valuable time.”
For Austria, Managing Director Stephan Hebenstreit points to the particular pressure to improve efficiency due to a shortage of skilled workers, rising costs, and regulatory requirements. Automation creates clear processes and noticeably reduces the workload on employees. Users also report practical benefits: “Perk Events makes my life much easier. Everything can be found on the platform”, says Daniela Merizaldem of Storyblok.
The three perspectives – study analysis, innovation infrastructure, and concrete application – paint a consistent picture: AI is evolving from an experiment into a structural tool. For tourism, hospitality, and related sectors, this means one thing above all else: The success of AI depends not on individual tools, but on the ability to integrate technology, organization, and culture. 2026 will thus be the year when we move from testing to shaping the future.
Dry January is no longer just a month of abstinence. It’s a barometer. For changing guest preferences. For more conscious consumption patterns. For a new aesthetic of enjoyment. Anyone who still believes in 2026 that non-alcoholic drinks are merely lemonade in a crystal glass has failed to grasp the trend. At Bar Montez in the Rosewood Munich, Bar Manager Mario Sel demonstrates just how sophisticated, structured, and gastronomically relevant non-alcoholic creations can be today – and why they have long been a strategic component of contemporary bar culture.
Across all areas of life, the food service industry is becoming more emotional, flexible, and relevant: Chain restaurants are showing more character, transit dining is evolving from a quick stop to an experiential space, and in the context of New Work, cuisine is becoming a central factor for culture, health, and employer attractiveness.
Culinary arts are becoming a central component of urban spaces: In mixed-use projects, they drive foot traffic, foster a sense of identity, and redefine places. As a social engine, gastronomy connects people, revitalizes neighborhoods, and often becomes the first visible sign of change. At the same time, it gives brick-and-mortar retail new relevance—extending dwell times, increasing foot traffic, and making brands immediately tangible.
Artificial intelligence has become part of everyday life in many businesses – but by 2026, it will become a structural imperative. The focus is no longer on testing individual tools, but on the question of how AI can be deployed reliably, effectively, and across the entire organization. Examples from tourism, events, and organizations already demonstrate today how scaling works in practice – and where AI specifically reduces the workload.
A clear turning point is emerging for the year 2026. The company-wide deployment of AI is taking center stage. This is the conclusion reached by Hamburg-based AI expert and interim manager Eckhart Hilgenstock, who has analyzed numerous national and international studies on the development of artificial intelligence. His conclusion is clear: “Following the pilot project phase in 2024/25, many companies are aiming to scale AI within their organizations by 2026.”