2025: The Year SAP Generative AI Redefines Middle East Careers
NOEL BENJAMIN D'COSTA
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Since 2020, Artificial Intelligence (AI) has seen skyrocketing growth in Enterprise Resource Planning (ERP) systems, fundamentally changing how businesses operate. In its early stages, AI focused on task automation and basic analytics, but with the introduction of SAP Generative AI, its role has expanded to predictive analytics, intelligent automation, and personalized insights across various business functions.
Over the past four years, AI in ERP has evolved to help businesses optimize processes, enhance decision-making, and unlock new opportunities in finance, supply chain, and customer service. Companies now have powerful tools to stay competitive and drive growth by leveraging AI-driven capabilities within their ERP systems.
Key Takeaways
SAP Generative AI is reshaping Middle East careers in 2025. Here are six key takeaways:
Emerging Roles: New positions are developing at the intersection of SAP and AI, offering fresh career paths.
Skill Demand: There’s a growing need for expertise in AI integration within SAP systems.
Industry Adoption: Sectors like oil and gas, retail, and healthcare are leading in implementing AI-driven SAP solutions.
Career Advancement: Professionals with AI and SAP skills are finding enhanced opportunities for growth.
Educational Focus: Training programs are increasingly emphasizing AI competencies alongside SAP.
Job Market Evolution: The employment landscape is shifting to value AI proficiency within SAP roles.
For a more detailed exploration, you can read the full article here
SAP Generative AI in ERP Platforms
The potential for SAP Generative AI transformation has stemmed from the emergence and subsequent evolution of AI technologies, which have become embedded in ERP platforms.
The early years of AI adoption were dominated by large enterprises that used it to maximise their operations and improve production efficiency. Organizations that leverage AI-enabled ERP tools, used them to improve supply chain efficiency, customer relationship management, and financial processes.
In 2023, the adoption of AI in ERP systems gained even more traction as mid-market companies started implementing AI based solutions as they saw the value in it. Automation, IoT and advanced analytics were driving this change enabling technology available on cloud-based ERP platforms which lowered the adoption cost.
In 2024, AI has now become an integral part of ERP solutions as it now supports quicker decision-making and strategic planning. AI-enabled ERP solutions are being utilized by industries such as manufacturing, retail, and healthcare to predict market trends better, improve inventory handling and optimize workforce distribution.
Moreover, advancements in natural language processing (NLP) and machine learning have enabled ERP systems to analyse unstructured data like emails or social media interactions to drive insights.
The widespread adoption of AI features in ERP systems highlights its transformative potential, enabling organizations to navigate the complexities of an increasingly data-driven world.
Below is a graph illustrating the global ERP software market size and the corresponding growth of AI adoption in ERPs:
Sources:
- Allied Market Research: “ERP Market Size, Share | Industry Forecast – 2030” Link
- Grand View Research: “ERP Software Market Size, Share & Growth Report, 2030” Link
- MarketsandMarkets: “AI in ERP Market Trends & Forecast” Link
Key Insights:
- The adoption rate of AI in ERP systems is projected to grow significantly from 10% in 2020 to 78% by 2030.
- The steady increase in ERP market size indicates sustained demand for advanced functionalities, with AI playing a central role in driving this growth.
The Role of AI in Transforming SAP Careers
Not only is AI changing the way SAP professionals or professionals that use SAP, do their job, but it is also generating new job positions and redefining many traditional ones.
For example, the demand for SAP jobs with AI integration is now 30% higher than two years ago and is only expected to increase. Companies embarking on a Digital Transformation journey or specifically an SAP Implementation, would like to have teams who have AI expertise.
There has been an increased demand for AI integration into SAP. The reason is simple – it improves workflows, speeds up automation, and provides actionable insights for better decisions.
The Focus on the Middle East
Artificial Intelligence is the next big thing for the Middle East, where it has brought a massive transformation – especially in the Oil and gas, Retail and Healthcare verticals and they have benefitted early.
Forward looking organizations have now started to use AI to optimize operational efficiencies, strengthen customer experiences and drive data-powered decisions in these sectors. The job market, and especially SAP careers, can be positively impacted by AI so much more.
The integration with AI also opens exciting career opportunities for veteran SAP Consultants, and Developers wishing to upskill, and those new to the world of SAP. Be it from a perspective of predictive analytics to intelligent automation, the opportunity for scaling and advancement is massive. This is an opportunity of a lifetime for any SAP ERP Consultant, just like me!
Now AI could be misinterpreted as being difficult to implement, but actually with the right skills, it would help business professionals to start focusing on strategic tasks while machines are handling the repetitive elements.
Such a transformation is making SAP careers much more dynamic and rewarding. With the rise of AI as a strategic enterprise level asset in SAP systems, experts are very much needed to drive innovation and growth across industries.
As we dive deeper, we will examine how AI is changing SAP roles, the skillsets in-demand and industries driving these changes throughout the Middle East.
The Role of AI in Transforming SAP Careers
We all know that the focus of every business is around Finance, Procurement, HR, Sales, and IT. AI is transforming SAP careers across these areas. The integration of AI with SAP systems is not only enhancing traditional roles but also creating specialized opportunities within these domains. Here’s how AI is making an impact:
Other Topics of Interest
By integrating such highly designed functions for business needs, AI creates completely new SAP roles. SAP will force Finance, Procurement, HR and IT professionals to expand their knowledge of AI, in order to succeed.
Therefore, they will need to spend more time learning the basics of AI as well as going deeper into specific functional areas involving AI along with SAP Tools. This highlights the need for SAP solutions integrated with AI, enabling businesses to adapt, compete, and expand their market presence.
Emerging SAP Generative AI Career Opportunities
AI integration is driving demand for specialized SAP roles across the Middle East. Businesses are actively hiring professionals to implement and maintain AI-driven SAP solutions, creating opportunities in the following areas:
- AI Specialists focus on implementing predictive analytics and machine learning into SAP systems.
- Data Analysts extract insights using SAP analytics tools, helping businesses improve decision-making.
- Integration Engineers ensure seamless SAP data integration across platforms, which is vital for smooth operations.
Freelancing is also becoming popular, with companies seeking short-term AI and SAP integration expertise. Industries like retail and healthcare rely on freelancers for specialized projects, offering flexibility and diverse opportunities for professionals. As demand for AI-SAP roles grows, those who align their skills with these emerging opportunities will thrive.
Skills in Demand for SAP-AI Careers
Succeeding in AI-driven SAP solutions requires mastering both technical and soft skills. Here’s a breakdown of the skills needed across different business areas:
Technical skills such as AI/ML, SAP S/4HANA, and data integration are essential. Certifications in the SAP AI Core and SAP Analytics Cloud validate expertise and improve employability.
Soft skills also play a crucial role. For example, problem-solving helps tackle implementation challenges, while cross-functional communication ensures collaboration across departments. Professionals who combine these skills can position themselves as crucial assets to organizations adopting AI with SAP.
- Problem-solving to tackle challenges in AI and SAP implementation.
- Adaptability to manage the fast pace of AI-driven change.
- Cross-functional communication to collaborate with teams across departments.
Earning SAP AI certifications can significantly boost employability. These credentials demonstrate your ability to handle AI-driven SAP solutions effectively.
Industries Driving SAP-AI Careers in the Middle East
Several industries in the Middle East are leading the adoption of AI-driven SAP solutions:
- Oil and Gas: Companies use predictive SAP maintenance to prevent equipment failures and reduce downtime.
- Retail: With SAP tools, businesses are leveraging AI for personalization and inventory management.
- Healthcare: Hospitals and clinics rely on AI-powered SAP for resource optimization and patient data management.
These industries demonstrate the growing importance of AI and SAP integration in the region. As businesses adopt advanced technologies, the demand for skilled SAP professionals will only increase.
Interesting Insights for your SAP Implementation
How to Future-Proof Your SAP Generative AI Career
Adapting to AI in SAP is essential for career growth. Here’s a structured approach to stay ahead:
- Upskill with Relevant Training: Take courses in AI/ML, SAP AI Core, and cloud-based SAP solutions. Focus on certifications like SAP Analytics Cloud to demonstrate your expertise.
- Build a Strong Portfolio: Work on real-world projects to showcase your skills. Highlight achievements like successful data integration or implementing predictive maintenance with SAP.
- Network Actively: Join communities of SAP professionals in the Middle East and attend industry events. Networking helps you stay updated on trends and connect with potential employers.
- Stay Updated: Follow industry leaders and resources on platforms like LinkedIn to track advancements in AI and SAP technologies.
- Practice Continuous Learning: Regularly refresh your skills to align with changing technologies and market demands.
SAP professionals can integrate AI into their roles by following these steps to adapt and secure their place in this evolving field.
Top 10 Training Programs to Elevate Your SAP Generative AI Skills
Here are the top 10 SAP training programs focused on Artificial Intelligence (AI), along with their respective links:
1. Artificial Intelligence – SAP Learning
Learn to automate processes, optimize resources, and predict outcomes to run faster and smarter enterprises.
The Link is Artificial Intelligence – SAP Learning
2. Generative AI at SAP
Understand the fundamental uses and benefits of AI in a business context, focusing on generative AI.
The Link is Generative AI at SAP
3. Exploring the SAP Business AI Portfolio
Dive into SAP’s Business AI strategy, principles, ethics, privacy standards, and business opportunities.
The Link is Exploring the SAP Business AI Portfolio
4. SAP AI Core and SAP AI Launchpad
Learn how to use SAP AI Core to handle the execution and operation of your AI assets on SAP Business Technology Platform.
The Link is SAP AI Core and SAP AI Launchpad
5. Applying AI-powered Augmented Analytics to Business Data in SAP Analytics Cloud
Unleash the power of AI with SAP Analytics Cloud, focusing on augmented analytics to derive insights and make data-driven decisions.
The Link is Applying AI-powered Augmented Analytics
6. Navigating Large Language Models Fundamentals and Techniques for Your Use Case
Gain insights into Large Language Models (LLMs) and SAP’s Business AI strategy towards LLMs, including techniques for optimal performance.
The Link is Navigating Large Language Models
7. Get Started with Document Information Extraction and Generative AI
Learn how generative AI can help automate business document processing with Large Language Models (LLMs).
The Link is Document Information Extraction and Generative AI
8. Develop a CAP-based (multitenant) Application using GenAI and Retrieval Augmented Generation (RAG)
Build a multitenant application using CAP, leveraging Generative AI Hub and HANA vector engine to implement RAG.
The Link is Develop a CAP-based Application
9. Digitizing Criticality Assessments using SAP AI Core and SAP AI Launchpad
Use machine learning services to digitize criticality assessments by translating descriptions into scores.
The Link is Digitizing Criticality Assessments
10. Harnessing Generative AI Capabilities with SAP HANA Cloud Vector Engine
Embed unstructured and semi-structured data using LLMs from the SAP GenAI Hub and ingest this embedded data into the system using the LangChain Framework.
The Link is Harnessing Generative AI Capabilities
These training programs are designed to equip professionals with the skills needed to integrate AI into SAP solutions effectively.
Conclusion
AI is now more than a catchphrase as it is transforming business operations and career paths — new ones are being created for people with SAP skills too. This is a one-of-a-kind opportunity for professionals residing in the Middle East. Adding AI skills helps SAP professionals improve processes and secure high-demand roles with strong growth potential.
Those who want to expand in this space can actually see exciting avenues for growth through AI integration. Businesses are looking for professionals who can fill this gap between traditional SAP skills and those related to modern AI technologies, as the demand for AI-driven SAP skills becomes one of the quickest rising job trends.
Don’t let the industry leave you behind. Start taking those first steps today through upskilling, obtaining relevant certifications and acquiring direct hands-on experience with SAP artificial intelligence tools. The era of AI isn’t approaching; it’s already here. Prepare yourself to embrace this change and enjoy fulfilling opportunities in your SAP career.
Frequently Asked Questions
1. What is Generative AI in SAP?
Generative AI in SAP helps businesses analyze massive amounts of data and generate meaningful insights, forecasts, and reports. It’s not just about automation – it’s about making smarter decisions faster.
You get tools that help with things like predicting customer demand, generating reports, and even improving workflows. I’ve seen companies use SAP’s AI to transform how they handle their operations, and it’s impressive.
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2. Is there any AI tool for SAP?
Absolutely! SAP has several AI tools that can help you automate tasks and make better decisions. Some of the most popular ones include:
- SAP AI Core: Think of it as the brain behind intelligent automation and insights.
- SAP Business AI: Helps you get the most out of your data across various SAP applications.
- SAP Conversational AI: The chatbot solution that makes interacting with systems easier for your team and customers.
If you’re wondering which one fits your needs, feel free to explore more on noeldcosta.com.
3. How is Generative AI different from ChatGPT?
It’s easy to mix the two up, but they serve different purposes. ChatGPT is great for conversation and general text-based tasks, while SAP generative AI is designed to work with business data, offering insights specific to your operations.
- ChatGPT = General conversations and content creation.
- SAP AI = Business insights, automation, and data-driven decisions.
Each has its place, and together they can complement your business processes.
4. What are the benefits of using SAP Generative AI Hub for developers?
If you’re a developer, SAP Generative AI Hub makes life easier by giving you ready-to-use AI models that work within the SAP ecosystem. Some perks include:
- Pre-built AI models that save you development time.
- Smooth integration with SAP applications.
- Scalable solutions that grow with your business needs.
It’s all about working smarter and faster with minimal hassle. Want to see it in action? Visit noeldcosta.com.
5. What is SAP Generative AI certification?
Yes, SAP offers certifications to help you prove your skills in AI-powered solutions within SAP systems. These certifications cover:
- Fundamentals of AI in SAP.
- Implementation best practices.
- Hands-on exercises to build your confidence.
Earning a certification not only boosts your career but also shows potential employers that you can leverage AI to improve business processes.
In my article, I have provided a lot of resources to enable you on your journey towards SAP Generative AI.
6. Are there free SAP Generative AI certification options?
Good news—there are free learning resources available. SAP Learning Hub often provides introductory courses that can give you a strong foundation in AI. These free options cover:
- Basics of AI within SAP solutions.
- How to integrate AI into existing processes.
- Practical examples to help you understand real-world applications.
Want to start learning? Keep an eye on SAP’s official website for free course availability. In my article, I have provided a lot of resources to enable you on your journey towards SAP Generative AI.
8. What are the key SAP generative AI use cases?
I’ve seen businesses across various industries use SAP generative AI to tackle real-world challenges and unlock new opportunities. Each sector has its own unique needs, and AI is helping them work smarter and achieve better results.
Retail:
Retailers are using AI to predict sales trends, optimize inventory levels, and personalize customer experiences. By analyzing purchasing patterns, businesses can ensure the right products are in stock, reducing waste and improving customer satisfaction.
Manufacturing:
In manufacturing, AI plays a key role in quality control and predictive maintenance. It helps spot defects early in production lines and forecasts equipment failures, reducing downtime and costly repairs.
Finance:
Banks and financial institutions use AI to detect fraud, analyze spending behaviors, and improve risk management. Real-time analysis of transactions helps identify suspicious activities and enhance regulatory compliance.
Healthcare:
Hospitals and healthcare providers leverage AI to streamline patient data management, predict treatment outcomes, and optimize resource allocation. AI-driven insights help improve patient care and operational efficiency.
HR and Talent Management:
Companies are integrating AI into HR functions to automate candidate screening, match job roles with the right talent, and analyze workforce trends. This helps HR teams make data-driven hiring decisions and boost employee engagement.
Supply Chain:
AI in supply chain management helps businesses forecast demand, improve logistics planning, and monitor supplier performance. It enables better decision-making to reduce delays and costs.
Customer Service:
AI-driven chatbots and virtual assistants in customer service improve response times and enhance user experience by providing instant support and personalized recommendations.
AI is no longer just a buzzword—it’s making a tangible impact across industries and functions, driving efficiency and smarter decision-making. Visit noeldcosta.com to explore more insights.
8. What are the common use cases for SAP generative AI?
SAP generative AI is being used in different ways across industries. Some practical use cases include:
- Generating detailed reports without manual effort.
- Automating repetitive tasks to free up valuable time.
- Enhancing customer support with AI-driven chatbots.
- Improving demand forecasting to avoid stock issues.
If you’re thinking about how AI could fit into your business, these use cases are a great starting point.
9. Can AI replace ERP?
Not quite. AI can enhance your ERP system, but it won’t replace it. ERP provides the structure, and AI adds intelligence on top of it. Together, they create a powerful system that:
- Automates routine tasks.
- Provides data-driven insights.
- Improves business efficiency over time.
Your ERP system is still the foundation—AI just helps you get more out of it.
10. Can SAP be automated with AI?
Yes, and it’s one of the best things about SAP’s AI capabilities. Whether it’s automating workflows, processing invoices, or tracking performance, AI can take over many time-consuming tasks.
Some examples include:
- Automating approval processes to speed things up.
- Enhancing supply chain operations with predictive analytics.
- Improving customer service with AI-powered chatbots.
If you’re looking to automate parts of your SAP environment, AI is a great tool to explore.
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11. What is SAP Generative AI Hub?
Some key features of the SAP Generative AI Hub include:
- Ready-to-Use AI Models: Pretrained models for common business processes such as finance, supply chain, and customer service.
- Automation Capabilities: AI tools to streamline repetitive tasks, reduce manual effort, and improve process efficiency.
- Predictive Analytics: Insights derived from historical and real-time data to help businesses make informed decisions.
- Seamless SAP Integration: Easily connects with core SAP applications like SAP S/4HANA, SuccessFactors, and SAP BTP, allowing businesses to extend their existing ERP functionalities.
- Scalability: Suitable for businesses of all sizes, from small companies to large enterprises, with flexible deployment options.
With SAP Generative AI Hub, companies can accelerate their digital transformation efforts by leveraging AI solutions tailored to their industry and operational needs. To learn more, visit noeldcosta.com.
12. What is a SAP Generative AI roadmap?
SAP’s AI roadmap lays out the company’s future plans for enhancing automation, analytics, and predictive capabilities across its ERP solutions. The goal is to make business processes smarter and more efficient by embedding AI into core SAP applications.
Key focus areas in SAP’s AI roadmap include:
Supply Chain Management:
AI-powered demand forecasting, automated logistics planning, and supplier performance tracking to improve operational efficiency and reduce costs.Finance:
Enhancements in financial forecasting, fraud detection, and automated compliance reporting to support better decision-making and reduce manual effort.Customer Engagement:
AI-driven personalization, intelligent chatbots, and sentiment analysis tools to help businesses better understand and respond to customer needs.Human Resources:
Talent acquisition, workforce planning, and employee engagement analytics powered by AI to improve HR functions and enhance employee experiences.Predictive Maintenance:
AI models that analyze equipment data to predict failures before they occur, helping manufacturers minimize downtime and optimize maintenance schedules.
SAP continues to invest in AI capabilities with a focus on industry-specific solutions, ensuring businesses can leverage AI to stay competitive and agile. As AI evolves, SAP aims to provide businesses with tools that help them anticipate market trends and make data-driven decisions.
Stay informed on SAP’s AI advancements by visiting noeldcosta.com.
13. Which two types of AI does SAP differentiate?
SAP categorizes AI into two key types, each serving distinct business needs:
Predictive AI:
This type of AI analyzes historical data to identify patterns and forecast future outcomes. Businesses use predictive AI for:- Demand forecasting in supply chain management.
- Financial projections and risk assessments.
- Customer behavior predictions to personalize marketing efforts.
Predictive AI helps organizations anticipate challenges and make informed decisions based on data-driven insights.
Generative AI:
Unlike predictive AI, generative AI focuses on creating new content, insights, and recommendations by analyzing existing data. It helps businesses by:- Automating report generation and summarization.
- Assisting in creating personalized customer interactions.
- Generating business scenarios and recommendations for decision-making.
Generative AI empowers businesses to go beyond analytics and actively enhance their operations with AI-generated content and strategies.
Both types of AI work together to support various business functions, helping organizations optimize processes, reduce manual effort, and improve overall performance.
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14. Can SAP be automated?
Yes, SAP can be automated using AI and automation tools to streamline tasks such as data entry, process approvals, and financial reporting. Automation not only reduces manual effort but also minimizes errors, improving accuracy and consistency across various business functions.
By leveraging automation within SAP, businesses can:
- Speed up routine processes like invoice processing and procurement approvals.
- Enhance compliance by automating audit trails and regulatory reporting.
- Improve data accuracy by eliminating manual entry mistakes.
- Free up employees to focus on strategic tasks rather than repetitive work.
From finance to HR, automation can transform the way your business operates, helping you achieve faster and more reliable results. If you’re wondering how automation can fit into your SAP environment, I can help you identify the right tools and strategies to get started.
Reach out to me to explore how automation can make your SAP system work smarter for your business. Visit noeldcosta.com to learn more.
15. Does SAP CRM use AI?
Yes, SAP CRM incorporates AI to improve customer relationship management by offering:
- Personalized recommendations.
- Automated follow-ups and responses.
- Predictive insights to identify customer needs.
SAP’s AI capabilities help businesses create better customer experiences and drive sales.
Tools for your Implementation
Make your SAP implementation planning easier with AI tools that I have created. If you are estimating data migration efforts, building a solid business case, or mapping out realistic timelines, my tools provide the insights you need to make informed decisions.
These tools have been built over decades of experience in actually implementing ERP solutions
So you don’t have to do guesswork any more. These AI tools helps you analyze costs, assess project feasibility, and create timelines that align with your business goals. If you want to avoid surprises and ensure a well-structured SAP rollout, these tools can guide you every step of the way. Let’s take the complexity out of planning and set your project up for success.
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