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<!DOCTYPE html>
<html lang="en">
<head>
<meta charset="UTF-8">
<meta name="viewport" content="width=device-width, initial-scale=1.0">
<link href="https://cdn.jsdelivr.net/npm/[email protected]/dist/tailwind.min.css" rel="stylesheet">
<link rel="icon" type="image/x-icon" href="/icons/rss-52.png">
<title>Jan Schulz-Nigmann's Blog</title>
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<div class="container mx-auto p-4 px-40 mb-6">
<div class="flex justify-between align-middle">
<h1 class="text-2xl font-bold mb-4">Blog by Jan Schulz-Nigmann</h1>
<a href="index.html"
class="rounded-lg mb-4 text-white hover:bg-gray-800 px-2 pt-1 hover:shadow"><u>Back</u></a>
</div>
<div class="bg-gray-800 rounded-lg shadow p-4">
<div class="flex items-center">
<div class="blog-icon ml-2.5"></div>
<h2 class="text-xl font-bold ml-2">The Rise of Agentic AI: Transforming Work and Society in 2025</h2>
</div>
<hr>
<p class="mx-2"><em>January 14th, 2025</em></p>
<img src="images/nvidia-ai-roadmap.jpg" class="rounded-2xl mx-auto mt-4" width="70%"></img>
<p class="text-center mb-4"><a
href="https://images.nvidia.com/aem-dam/en-zz/Solutions/events/ces/CES_2025_Highlights_Deck.pdf"
target="_blank">NVIDIA CES 2025 keynote</a></p>
<p class="mx-2 mb-2">The next step in artificial intelligence (AI) will be achieved in 2025. Starting with
the
AlexNet in 2012, which was the first big leap in AI technology, a new roadmap for AI emerged. After
AlexNet the next step was perception AI (speech recognition, deep recommender systems and medical
imaging). The current AI landscape is shaped by generative AI (digital marketing and content creation).
The next step, starting in 2025, is agentic AI (coding assistance, customer service, patient
care).<sup><a href="https://blogs.nvidia.com/blog/what-is-agentic-ai/" target="_blank">[1]</a></sup></p>
<p class="mx-2">Unlike typical AI systems, agentic AI performs tasks independently, making decisions and
carrying out activities without ongoing supervision and user inputs. This progress has the potential to
revolutionise businesses, workplaces, and everyday life, but it also poses serious concerns about
ethics, safety, and human oversight.<sup><a href="https://www.ibm.com/think/insights/agentic-ai"
target="_blank">[2]</a></sup></p>
<h3 class="text-lg font-bold m-2">What is Agentic AI?</h3>
<p class="mx-2 mb-2">Agentic AI is capable of independent action, it can analyse data, make decisions and
execute
tasks across many topics. These AI systems can help in daily life or the workplace. For example, it can
troubleshoot IT issues, optimise workflows, manage supply chains, act as personal assistants, summarise
news or manage household devices.</p>
<p class="mx-2">Agentic AI can operate without human input. This autonomy is enabled by advances in machine
learning models, multimodal capabilities (text, pictures, and audio processing), and improved reasoning
ability.<sup><a href="https://software-aspekte.de/en/blog/ai-trends/" target="_blank">[3]</a>
<a href="https://news.microsoft.com/en-cee/2025/01/08/6-ai-trends-youll-see-more-of-in-2025/"
target="_blank">[4]</a>
<a href="https://www.linkedin.com/pulse/7-ai-trends-predictions-2025-everyone-should-know-pavan-belagatti-ikfnc/"
target="_blank">[5]</a>
</sup></p>
<h3 class="text-lg font-bold m-2">Applications Across Industries</h3>
<ol class="list-decimal mx-8">
<li class="mb-2">Workplace Transformation: Agentic AI is intended to change productivity by automating
repetitive
and difficult jobs. Tools such as Microsoft Copilot Studio currently allow non-technical people to
create custom AI agents that are suited to specific requirements.<sup><a
href="https://software-aspekte.de/en/blog/ai-trends/" target="_blank">[3]</a></sup></li>
<li class="mb-2">Healthcare: Autonomous agents could monitor patients in real-time or assist in
diagnostics by
analysing medical data more efficiently than human practitioners.<sup><a
href="https://www.restack.io/p/ai-development-trends-predictions-answer-must-read-ai-research-2025"
target="_blank">[6]</a>
<a href="https://explodingtopics.com/blog/future-of-ai" target="_blank">[7]</a></sup></li>
<li>Logistics and Manufacturing: Smart logistics systems powered by agentic AI can predict inventory
needs, automate warehouse operations, and streamline supply chains.<sup><a
href="https://software-aspekte.de/en/blog/ai-trends/" target="_blank">[3]</a>
<a href="https://news.microsoft.com/en-cee/2025/01/08/6-ai-trends-youll-see-more-of-in-2025/"
target="_blank">[4]</a></sup></li>
</ol>
<h3 class="text-lg font-bold m-2">Ethical Challenges and Oversight</h3>
<p class="mx-2 mb-2">While agentic AI offers huge potential, it also poses problems. Autonomous
decision-making
can lead to unintended behaviour if not well controlled. For example:</p>
<ul class="list-disc mx-8">
<li class="mb-2">Bias in Decision-Making: Inadequate training data and protections can perpetuate or
intensify biases
in AI decision-making.<sup><a
href="https://www.restack.io/p/ai-development-trends-predictions-answer-must-read-ai-research-2025"
target="_blank">[6]</a></sup></li>
<li class="mb-2">Loss of Human Oversight: Autonomous systems pose a difficulty for accountability.
Finding a balance
between autonomy and human control will be critical.<sup>
<a href="https://news.microsoft.com/en-cee/2025/01/08/6-ai-trends-youll-see-more-of-in-2025/"
target="_blank">[4]</a>
<a href="https://www.linkedin.com/pulse/7-ai-trends-predictions-2025-everyone-should-know-pavan-belagatti-ikfnc/"
target="_blank">[5]</a>
</sup></li>
</ul>
<p class="mx-2">Governments and organisations are starting to address these concerns. Regulatory frameworks
are being
developed to ensure responsible use of agentic AI while fostering innovation.<sup><a
href="https://www.bristol.ac.uk/news/2025/january/isambard-ai-govt-action-plan.html"
target="_blank">[8]</a></sup></p>
<h3 class="text-lg font-bold m-2">Looking Ahead</h3>
<p class="mx-2 mb-2">Agentic AI is a big advancement in AI. Automating complicated operations and improving
decision-making processes can change industries and improve the daily life. However, its success will be
contingent on overcoming ethical concerns and retaining strong human oversight.
</p>
<p class="mx-2">To maximise the benefits and minimise the drawbacks of agentic AI, it is important to
coordinate this future with politicians, researchers and industry leaders.
</p>
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