The Best Sustainability Resources in the Age of AI

Annual reports are a key source of ESG information in hospitality, combining financial and non-financial data on sustainability performance. Increasing alignment with CSRD and frameworks like ESRS, GRI, IFRS improves comparability, though challenges remain around data reliability and aligning corporate- and hotel-level KPIs.

At Hotelschool The Hague, the Business Resilience and ESG chair uses such data for applied research on resilience and sustainable transformation, combining document analysis and industry collaboration. The EU’s ESAP initiative is expected to further enhance transparency and benchmarking of ESG data.

The Most Valuable Resources Are Still Human Ones

Four years ago, the challenge was finding good information. Today it is filtering it.

When it comes to accuracy, I keep returning to the Global Sustainable Tourism Council and UN Tourism. They do the hard work of separating good science from marketing language. Use AI to summarize and compare, but always trace claims back to primary sources.

On networks, the richest learning I see is no longer happening in formal reports. It is happening in peer conversations between practitioners wrestling with the same tensions in real time. Regenerative tourism forums and destination stewardship networks are where honest, experience based knowledge actually lives.

On performance, the organizations making real progress are not consuming the most content. They have narrowed their focus, picked frameworks that fit their context, and built habits around turning information into decisions.

AI can genuinely help here. Analyzing energy patterns, identifying gaps, supporting staff training. But the insight still needs to be validated through local expertise and operational experience.

Hospitality is a human industry. The hoteliers who will lead on sustainability are not necessarily those with the best tech. They are the ones combining credible sources, real peer relationships, and the curiosity to ask better questions.

I think the age of AI makes reliable sustainability resources more important, not less. AI can be extremely useful for summarising complex information, analysing hotel data, comparing options, and translating sustainability language into practical operational decisions. But it should not become the source of truth. For hoteliers, the real shift is not simply from “not knowing” to “finding information,” but from finding information to verifying it, grounding it in credible standards and benchmarks, and turning it into measurable action.

My main point is that AI should be treated as a decision coach, not as the expert. It can help hotels ask better questions, identify blind spots, and make sense of data across areas such as food waste, energy use, water, procurement, reporting, and guest behaviour. But performance only improves when those insights are linked to real operational routines: menu planning, purchasing, maintenance, staffing, team training, and transparent communication. In short, AI can help move hotel sustainability toward evidence-based practice, but only if it is supported by credible sources, good data, and disciplined follow-through.

AI has multiplied exponentially making the question of which AI tool to use for which operational area tricky. As an educator my challenge (and steep learning curve) is helping students understand the expanding AI landscape so they can enter the workforce prepared to use these technologies effectively.

For revenue management and dynamic pricing, platforms such as Duetto, Lighthouse, and RateGain are widely recognized. In guest communication, tools like Canary, Asksuite, and Aiello are helping hotels improve service efficiency. Numerous additional AI applications support marketing, staffing, and back-of-house operations. Do these interface with sustainability goals for integrated approaches to sustainable business? Top sustainable hospitality AI platforms include Weeva, Greenview, BeCause, and Earth Check. For sustainable supply chain management Blue Yonder and SAP IBP integrate emissions foot printing and LCA with promotion of eco-friendly products.

On the consumer side, ChatGPT has become a popular trip-planning tool. I have students use identical prompts to design ecotourism itineraries, and the results vary considerably. Sustainable hospitality businesses must optimize their digital presence so environmentally conscious travelers can easily discover them. The industry's next challenge is translating these rapidly evolving technologies into practical knowledge for both professionals and future hospitality leaders.

Sustainability in hospitality has never been more relevant—or more actionable. The quality of information driving decisions determines the quality of outcomes. And outcomes only matter when they are measured, verified, and transparently shared with guests, investors, and partners.

The EU Green Claims Directive—entering into force September 2026—marks a turning point. Science-based, independently verified environmental performance is becoming the global standard. The roadmap is clear: measure rigorously, reduce systematically, verify independently, communicate transparently.

So yes—this is a time of abundance of information. And it is equally a time where transparency and scrutiny take center stage.

I would like to see AI being the tool that helps hotels prove their sustainability, not just talk about it.

The hospitality industry is already seeing both sides of AI. On the one hand, it can contribute to greenwashing. With the right prompt, it can make almost any hotel's practices sound sustainable.

On the other hand, AI has enormous potential to help hotels improve performance, not only in sustainability, but also in accessibility, inclusiveness, social impact, emergency preparedness, and climate resilience. These are complex topics, particularly for smaller hotels with limited resources. AI can help hotels interpret standards, identify relevant best practices, benchmark performance, and develop realistic improvement targets tailored to their location, size, and services.

This is the approach we are taking at Hotel Resilient, where we are developing optional AI tools that help hotels identify practical improvements, track progress, and demonstrate their responsible performance, rather than simply communicate it.

I believe that in this rapidly changing digital world, it is becoming increasingly difficult to find reliable sources. However, there are some AI-based sources that I find particularly reliable, such as Sustainalytics, as they provide a huge amount of support to sustainability professionals in areas such as ESG risk assessments, climate and environmental impact solutions, compliance and governance. While the amount of data provided by the platform is impressive, it is important to remember that there are still organizations that are not fully AI-generated. Not only do they stand out from the vast amount of resource platforms with their solid historical records, but the quality of their services and resources is also credible and professional. I would first mention the Global Sustainable Tourism Council (GSTC), as its standards, certifications, accreditation, training programs and knowledge center provide reliable engagement and information for tourism professionals. Another sustainability resource that I consider reliable is the Ellen MacArthur Foundation, which focuses on circular economy practices and examples from around the world. Although this is a general resource, not just focused on tourism, the examples encourage people to think about the innovative ideas that people are developing towards a more sustainable future.

AI tools are not the source of information

1. The same sources I quoted years ago remain credible. The Guardian , Project Drawdown , Nature, Anthropocene , Climate Change News. For hospitality: the World Sustainable Hospitality Alliance, Journal of Sustainable Tourism, Hotel Yearbook series. The real question is:

How do I use AI to synthesize this to my specific needs?

The AI tool isn’t the source of information, it is at best a structural thinking partner.

2. Treat any platform branding itself "AI-driven sustainability for hotels" with suspicion; the business model usually depends on selling you the solution it recommends. What is missing is a platform compiling "what we tried and worked; what we tried and did not." For now, go back to practitioners’ roundtables, conferences, knowledge exchanges like the Hospitality Net World Panel.

3. Resources themselves will not improve performance, it is what we do with them. One example: feed detailed property information e.g.  property's structure, location, surroundings, operations, and constraints and ask the AI tool for a set of 100 solutions, ranked for CAPEX, payback period and tCO₂e/yr saved. Validate every number (AI can and will hallucinate). It is a brainstorm partner.

So, if AI tools are not the source of information, the exchange still is.