The End of AI and SAP: How They Will Become Obsolete and Irrelevant Soon (2024)

A purely speculative article ...

Introduction

Artificial intelligence (AI) and SAP are two of the most widely used and influential technologies in the world today. They power countless applications, processes, and systems across various industries and domains. They promise to deliver unprecedented levels of efficiency, productivity, and innovation to businesses and society.

But what if I told you that AI and SAP are doomed to fail? That they are not the ultimate solutions, but rather the stepping stones to something better? That they will soon be replaced by newer and superior technologies that will render them obsolete and irrelevant?

Sounds crazy, right? Well, not so fast. In this article, I will present some compelling arguments and evidence that support this bold claim. I will also explore some of the emerging technologies that are poised to disrupt and surpass AI and SAP in the near future.

Why AI and SAP Will Fail

AI and SAP have many limitations and challenges that prevent them from achieving their full potential and meeting the ever-changing needs and expectations of users and customers. Here are some of the main reasons why AI and SAP will fail:

They are complex and costly: AI and SAP require a lot of resources, expertise, and maintenance to develop, deploy, and operate. They often involve multiple components, layers, and integrations that increase the risk of errors, bugs, and vulnerabilities. They also consume a lot of energy, bandwidth, and storage, which raise environmental and ethical concerns.
They are rigid and inflexible: AI and SAP are based on predefined rules, models, and algorithms that limit their adaptability and scalability. They struggle to handle new situations, data types, or user requests that are not anticipated or accounted for in their design. They also have difficulty learning from their own mistakes or feedback, which hinder their improvement and evolution.
They are biased and unreliable: AI and SAP are influenced by the quality, quantity, and diversity of the data they use to train, test, and validate their performance. They can inherit or amplify the biases, inaccuracies, or inconsistencies that exist in the data sources or in the human creators or users of the systems. They can also produce unexpected or undesirable outcomes that can harm or mislead the users or customers.
They are impersonal and detached: AI and SAP lack the human touch, emotion, and intuition that are essential for building trust, rapport, and loyalty with users or customers. They often fail to understand the context, intent, or sentiment behind the user or customer interactions or transactions. They also lack the creativity, empathy, and ethics that are required for solving complex or sensitive problems or delivering personalized or meaningful experiences.

What Will Replace AI and SAP

AI and SAP are not the end of the road, but rather the beginning of a new journey. There are many emerging technologies that are challenging the status quo and offering new possibilities for solving problems and creating value. Here are some of the technologies that will replace AI and SAP in the near future:

Quantum computing: Quantum computing is a new paradigm of computing that leverages the principles of quantum physics to perform operations that are impossible or impractical for classical computers. Quantum computers can process massive amounts of data in parallel, at exponential speeds, with minimal energy consumption. Quantum computing can enable new applications and breakthroughs in fields such as cryptography, optimization, simulation, machine learning, artificial intelligence, etc.
Neuromorphic computing: Neuromorphic computing is a new approach of computing that mimics the structure and function of biological neural networks in the brain. Neuromorphic computers can learn from data in an unsupervised manner, without requiring explicit rules or models. Neuromorphic computing can enable new capabilities such as natural language processing, image recognition, speech synthesis, emotion detection, etc.
Blockchain: Blockchain is a new technology that enables distributed ledger systems that store data in a secure, transparent, and immutable way. Blockchain can eliminate intermediaries, reduce costs, and increase trust in transactions involving multiple parties. Blockchain can enable new solutions such as smart contracts, digital identity, supply chain management, etc.
Augmented reality (AR) / Virtual reality (VR): AR / VR are new technologies that create immersive and interactive experiences that blend the physical and digital worlds. AR / VR can enhance the perception, understanding, and engagement of users or customers with products, services, or environments. AR / VR can enable new opportunities such as education, entertainment, healthcare, tourism, etc.

Conclusion

AI and SAP are not the ultimate solutions, but rather the stepping stones to something better. They have many limitations and challenges that prevent them from achieving their full potential and meeting the ever-changing needs and expectations of users and customers.