2025: The Year SAP Generative AI Redefines Middle East Careers
NOEL BENJAMIN D'COSTA
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A finance manager I know in Dubai used to spend three days every month just pulling reports, fixing errors, and cleaning up spreadsheets. His numbers never matched, and there were always mistakes. Every leadership meeting turned into a last-minute scramble. It was stressful. Then he found SAP Generative AI.
SAP Generative AI is a set of tools inside SAP that help you automate tasks, analyze data, and create reports. It cuts down manual work, speeds up decision-making, and makes business processes smoother.
For him, those same reports are now ready in minutes. No more searching for missing numbers. No more fixing broken formulas. Instead of spending hours fixing spreadsheets, he actually has time to think, analyze, and make real decisions.
This is happening everywhere in the Middle East. If you work in finance, HR, procurement, or supply chain, you will see it soon. Companies are getting rid of manual tasks, making faster decisions, and using real-time data. That means fewer long nights fixing reports and more time focused on strategy.
Some jobs will change. Some will disappear. But people who learn to use these tools will always be needed. Businesses need people who can read the data, catch problems early, and make smart decisions.
This isn’t just for IT. If you use SAP, your job is going to change. Some will keep up and move ahead. Others might fall behind.
SAP jobs are changing. Companies want people who can use both SAP and AI tools.
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.
AI is now a key part of ERP systems in 2024. It helps businesses make faster decisions and plan more effectively. Manufacturing, retail, and healthcare use AI-powered ERP to predict market trends, manage inventory, and assign workers efficiently.
ERP systems can also process emails and social media to find useful insights. This is possible because of advances in machine learning and natural language processing (NLP).
With AI built into ERP, businesses can manage data better and stay competitive. The graph below shows how the global ERP market has grown alongside AI adoption.
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.
Learning new skills is a must. If you only know old SAP methods, you’ll struggle to keep up.
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:
| Business Area | AI-Enabled Features in SAP | Impact on SAP Careers |
|---|---|---|
| Finance | Predictive analytics, automated financial reporting | Financial analysts can now forecast trends using predictive tools in SAP S/4HANA, creating demand for tech-savvy roles. |
| Procurement | Supplier risk assessment, AI-powered contract analysis | Procurement professionals leverage AI for more brilliant sourcing strategies and compliance tracking. |
| HR | AI-driven recruitment, employee engagement analytics | HR roles require managing AI tools like SAP SuccessFactors, focusing on automating hiring and improving retention. |
| IT | Intelligent automation, real-time system monitoring | IT professionals implement and maintain AI capabilities, integrating SAP AI Core and managing cloud-based solutions. |
Impact of Generative AI on SAP Roles
Other Topics of Interest
| SAP Core Areas | Business Area | AI Functionality |
|---|---|---|
| SAP S/4HANA Finance | Finance | Predict cash flow, detect fraud, and generate automated reports. |
| SAP Ariba | Procurement | Assess supplier risk, streamline contract negotiations, and manage procurement lifecycle intelligently. |
| SAP SuccessFactors | HR | Analyze employee engagement data, predict retention risks, and automate hiring processes. |
| SAP AI Core | IT | Build and deploy AI models for business needs, ensuring smooth system integrations. |
| Business Area | Emerging Roles |
|---|---|
| Finance | AI-Enabled Financial Analyst, SAP Financial Forecasting Specialist |
| Procurement | Supplier Risk Specialist, AI Procurement Consultant |
| HR | AI Recruitment Strategist, Employee Analytics Specialist |
| IT | SAP AI Core Specialist, AI-Driven System Architect |
New Career Opportunities By Business Area
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:
| Role | Countries with High Demand |
|---|---|
| AI Specialists | UAE, Saudi Arabia, Qatar |
| Data Analysts | Egypt, Jordan, Lebanon |
| Integration Engineers | Kuwait, Oman, Bahrain |
| AI-SAP Trainers | Turkey, Morocco |
| Implementation Experts | Algeria, Tunisia |
Countries with the Highest AI Demand in the Middle East
- 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.
Businesses need AI-savvy SAP professionals. Those who can work with data and automation will have better job options.
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:
| Business Area | Technical Skills Required | Soft Skills Required |
|---|---|---|
| Finance | AI/ML algorithms, SAP S/4HANA | Analytical thinking, attention to detail |
| HR | SAP SuccessFactors, data analysis | Communication, empathy |
| Procurement | SAP Ariba, predictive analytics | Negotiation, strategic sourcing |
| IT | SAP AI Core, cloud solutions | Problem-solving, adaptability |
Skills in Demand for SAP Generative AI Careers
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
If you want to grow your SAP career, you need to keep up with AI. Here’s how to stay ahead:
- Learn the Right Skills: Take courses on SAP AI Core, AI/ML, and cloud-based SAP solutions. Certifications like SAP Analytics Cloud can help show your expertise.
- Build a Portfolio That Stands Out: Work on real projects that prove what you can do. Show how you’ve used SAP for predictive maintenance or improved data integration. Employers want results, not just words.
- Make the Right Connections: Join SAP professional groups in the Middle East. Go to industry events. The more people you know, the more doors you’ll open.
- Keep Up with Changes: AI and SAP are evolving fast. Follow experts on LinkedIn. Read up on the latest trends. Staying informed keeps you relevant.
- Never Stop Learning: Tech moves quickly, and so should you. Regularly update your skills so you don’t fall behind.
SAP professionals who adapt to AI will stay in demand. Those who don’t will struggle to keep up.
Certifications help. SAP AI Core and SAP Analytics Cloud are in demand.
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
Jobs are changing fast, and SAP skills are more useful than ever. Companies need people who can manage data, improve processes, and help businesses grow. If you work with SAP, learning new skills can open more job opportunities.
The best way to stay ahead is to keep learning. Take courses, get certifications, and work on real projects. The more hands-on experience you have, the better your chances of getting a good job.
Networking also helps. Join SAP groups, attend events, and talk to others in your field. Meeting the right people can lead to new job offers and keep you updated on industry trends.
It’s also important to follow experts and read about the latest updates. Things change quickly, and staying informed will help you keep up.
If you want to grow in your career, start now. Learn, practice, and connect with others. The sooner you begin, the more options you’ll have.
Have you started learning new SAP skills? Share your story! And if you have questions, feel free to ask—we’re happy to help.
The opportunity is now. Those who adapt early will secure the best roles. Those who wait will fall behind.
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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