This is the one you can’t afford to skip! Which job will AI kill off first, and how can we adapt or upskill to avoid being the next casualty?

From the $75M AI push in property tech to Swiss AI-powered spirituality, this issue packs cutting-edge insights. Discover how genAI is transforming real estate workflows, saving time, and redefining jobs in the industry. 

Get the inside scoop now or risk falling behind — 2025 is knocking, and AI waits for no one! 

Our topic for today: The impact of AI in Real Estate Development

• 💰 Latest VC-fundings related to AI in real estate

• 🤖 The “12 Days of OpenAI” got revealed

• 🛠️ How to Start with Generative AI

• 🔮 Future? Which jobs will be affected very soon?

• ✏️ Prompt of the Month

Our latest issue of 2024 offers therefore a comprehensive guide to integrating genAI into your organizational workflows, providing practical solutions to ensure you remain indispensable in the age of AI. Don't miss out on this crucial roadmap to future-proof your career — read the latest issue now and secure your place in the AI-driven world.

EliseAI I 75 Million USD I United States I Series D:
AI-powered property management solution

GreenLite Technologies I 28.5 million USD I United States I Series A:
Integrating AI into energy efficiency and smart building management systems

The “12 Days of OpenAI”

• OpenAI has launched the “12 Days of OpenAI” unveiling new AI features daily from December 5 to 20, 2024. The initial announcement introduced ChatGPT Pro, a $200 monthly subscription offering unlimited access to advanced models, including the newly released o1. This model is fully multimodal, processing text, images, and audio, with enhanced reasoning abilities and faster responses. Subscribers also gain access to o1 Pro Mode, which utilizes additional computational resources for complex queries, improving performance in mathematics, science, and coding tasks. 

• Deus in machina, a Swiss church in Lucerne has introduced an AI-powered Jesus avatar, capable of conversing in 100 languages, to engage visitors in discussions about faith and morality. This initiative aims to explore the intersection of artificial intelligence and spirituality, prompting reflections on the role of technology in religious experiences.

How to Start with Generative AI

The following 6 steps are a practical guide for integrating and leveraging Generative AI (genAI) in your organizational workflows. It provides a structured approach to help businesses and individuals understand, experiment with, and implement genAI effectively.

1. Educate Your Team

• Generative AI (genAI) does not require coding knowledge, making it accessible to everyone.

• It is especially useful for repetitive and monotonous tasks, streamlining everyday workflows.

• Only through proper education can individuals identify where genAI can help in their specific roles.

• Empower all employees - not just IT or C-level executives - to understand genAI's capabilities and prerequisites.

2. Detect Use Cases

• Identify root causes of issues, not just their visible consequences.

• Many problems stem from earlier stages in a process, which can often be solved more easily with genAI.

• Encourage teams to think critically about where inefficiencies originate.

3. Design Solutions

• Break down complex problems into smaller, actionable steps that AI can address.

• Create scenarios or workflows that show how genAI could be applied effectively.

4. Experiment with AI Models

• Test different prompts and models to evaluate their ability to handle specific tasks.

• Non-technical team members only need a general understanding or "gut feeling" to assess if a task can be solved with genAI.

• Iteration and experimentation are key to finding a fit-for-purpose solution.

5. Scale Promising Pilots

• Once a pilot demonstrates potential, involve IT teams and external experts to scale the solution.

• This ensures robust integration into existing workflows and systems.

6. Discover Unexpected Opportunities

• Implementation often reveals new automation possibilities.

• Better inputs during early stages can lead to improved outcomes and opportunities down the line.

• Foster a mindset of continuous improvement and exploration.

Streamlining Property Onboarding and Transactions for Real Estate

An example with genAI software like AlphaPrompt

Challenge:
Real estate transactions and the onboarding of new properties require the screening of large data rooms, to find potential red flags, create rent rolls and get the data in place. Usually this is very time consuming and at the same time error prone - and hence a extremely costly thing.

Traditional approach:

• Multiple employees manually search for necessary information and request any missing documents.

• Data entry was performed by hand, increasing the risk of errors.

• Another team member double-checked entries to ensure accuracy, further extending the processing time.

Solution with real estate specific solutions like AlphaPrompt:

• Automated Document Scanning: The system automatically scanned all documents, classifying and renaming them according to industry standards.

• Data Extraction and Formatting: AlphaPrompt extracted all relevant information and formatted it for seamless integration into any calculation tool or ERP.

• Smart Validation: Missing files were highlighted automatically, and the "double-check" process became faster with intelligent validation tools, which highlighted all documents being potential red flags.

Impact:

• Over 50% Time Saved: The pre due-dilligence/ onboarding process became twice as fast due to automation.

• Enhanced Accuracy: With everything in one place and ready to use, nothing was overlooked.

• Improved Quality: The results were accurate and reliable every time, reducing the need for manual corrections.

Which jobs will be affected very soon?

Consequently, jobs that will soon be affected are at the root of problems:

1. Data Entry Specialists: Tasks involving manual data input are increasingly automated by AI, reducing the need for human intervention.

2. Property Valuers/Appraisers: AI-powered valuation models analyze extensive data to provide accurate property assessments, potentially diminishing the reliance on traditional appraisal methods.

3. Listing Agents: AI tools can generate property descriptions and manage client communications, streamlining the listing process and altering the traditional role of listing agents.

4. Customer/ Tenant Service Representatives: AI-driven chatbots and virtual assistants handle client inquiries and support, potentially reducing the need for human customer service roles.

As Data Entry Specialist the following prompt can used to extract data from documents:

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Nino, Cosima & Jan
Your Propagator - Team