Define The Next Future of AI Transformation – Outlook & Impacts

AI has continuously innovated to become a new normal in today’s era. With the ongoing release of groundbreaking models, global enterprises & businesses are accelerating AI Transformation to leverage productivity and enhance automation to optimize operational costs. 

The wave of AI Transformation is going strong across almost every industry & aspect of daily life. With continuous improvement in self-learning & adaptability to complex tasks, the AI Transformation landscape is predicted to be more competitive, innovative, and diverse in the future with the introduction of new emerging trends, including AI Agent, Edge AI, Quantum AI… 

While the public is hyped about the intelligence of Generative AI, the next generation of AI transformation is already seeding. What does this mean to businesses’ strategy and how they should maximize these potentials to unlock new opportunities? Our NTQ’s New Technology Division (NTD) Director, Mr. Bui Viet An, shares his comprehensive points of view about this topic! 

“As AI keeps growing with lightning speed, how do you evaluate the role of AI in reshaping the industry landscape?” 

It’s obvious to say that AI is and will continue to revolutionize the way business functions in terms of automation, decision-making, operational optimization & personalization. Over the next 5-10 years, AI will break through from a supportive tool to become a fundamental aspect of every business core. Notable examples include: 

Automate & Optimize Workflow

AI can replace or support repetitive tasks in production, operations, and management, helping reduce costs, increase productivity, and mitigate risks. Technologies like Robotic Process Automation (RPA) and AI-driven ERP are playing an increasingly vital role.

Data-driven Decision Making

AI not only collects data but also converts it into valuable, predictive & impactful insights. Companies can leverage AI-driven analytics to personalize products/services and anticipate market demands.

Revolutionize Customer Experiences

• AI-powered Chatbots & Virtual Assistants leverage customer service through instant responses to inquiries, human-like interactions with natural flexibility & direct customization toward specific questions. 
• AI drives sales conversion by converting customer data and behaviors into personalized tactics, optimizing advertising & marketing strategies, and tailoring products & services. 

Leverage Creativity

Generative AI models like ChatGPT and Stable Diffusion are enabling businesses to accelerate innovation from coding and design to scientific research.

Security and Risk Management

AI helps monitor fraud, detect cybersecurity threats, and manage financial risks in real time.

Autonomous Enterprises

Emerging AI agents are capable of operating independently with minimal human intervention, paving the way for self-operating businesses. In response to these transformations, companies must reshape their business models, invest in AI infrastructure, and develop collaborative human-AI workflows.

“From your point of view, what will be leading the next AI transformation wave over the next few years?” 

Following the emergence of Generative AI, we’ll be seeing diverse applications of AI in many core aspects, with greater power of automation and less reliance on human operations. There have been several future-proof AI innovations being researched, tested & early adopted on a small scale, notably including: 

Edge AI – Independent AI Without Cloud

While most AI models are cloud-based, Edge AI utilizes data right from the physical devices, including phones, cameras, and self-driving vehicles, without the need for an online server. With the help of Edge AI, the future generation of AI Assistants will be capable of functioning offline; self-driving vehicles and IoT devices can handle complex data without any server; the risk of data exploitation is mitigated. With the fast-growing advancement of AI and IoT Development, Edge AI will become a new emerging technology in the next 2-4 years. 

Agentic AI – Independent Decision Maker & Operation

In the next 3-5 years, Agentic AI will potentially become a new emerging trend. This new generation of AI is expected to be smarter, independent learners & less reliant on human controls. With Agentic AI, we might see the new self-operated business models with automation in many core aspects, or AI-driven IT developers & engineers with self-improvement capabilities, and even AI Assistants with capabilities to arrange meeting schedules and facilitate time management with deeper minds compared to traditional chatbots.

AI-driven Robotics

With AI power, the future robot generations will become smarter, more adaptive & flexible to work under different conditions. For example, AI Robots can self-optimize manufacturing operations without pre-programming, serve customers in restaurants, take care of elders, and facilitate scientific research with high levels of automation. AI-driven Robotic application is expected to make a greater impact to many industries in the upcoming 3-5 years. 

Quantum AI – Transforming AI with Quantum Computing

Quantum AI integrates quantum computing to overcome traditional hardware limitations, enabling AI models to train hundreds of times faster than current GPUs. This breakthrough has immense potential in accelerating machine learning, enhancing complex simulations in medicine and physics, and securing AI through quantum encryption. While the commercialization of quantum computing remains uncertain—possibly 10, 20, or even several decades away—its impact will be transformative, fundamentally reshaping the future of computing.

Bio-AI – AI-Driven Biotechnology

AI is revolutionizing healthcare by analyzing DNA, developing personalized medicine, and predicting disease risks. Neural AI, like Neuralink, enables direct interaction between AI and the human brain, while AI-driven genetic engineering can reprogram cells to combat diseases and extend lifespan. Although Bio-AI may take 5-15 years to mature, it holds the potential to drive groundbreaking advancements in medicine and biology, contributing to leverage public healthcare services to much better quality in the future.

“What are the specific industries that are beneficial from these emerging trends?”

The new generation of AI Innovations will impact a variety of industries. In reality, these applications have already been adopted by industry leaders & tech giants across the globe. Particular examples of industries that might observe a giant reorganization in the future include: 

Smart Automotive

Edge AI is capable of directly analyzing data from smart vehicles without a cloud-based service. This application allows vehicles to improve response, reduce accident risks, increase early fault detection & optimize battery life span. Notable examples: Tesla FSD (Full Self-Driving) adapts Edge AI that allows vehicles to analyze real-time surroundings. BMW & Mercedes are currently researching an AI-driven system that amplifies a vehicle’s self-driving capabilities in rough road conditions. 

IoT & Electronic Goods

AI is revolutionizing consumer technology and IoT by enabling faster, more efficient on-device processing. Edge AI enhances smartphone assistants like Siri and Google Assistant, allowing real-time operations without relying on cloud connectivity. In smart devices, AI-powered refrigerators, washing machines, and security cameras can autonomously optimize performance. Leading innovations include Apple’s A-series chip AI, which accelerates voice and image recognition directly on iPhones, and Google Tensor AI, which enables real-time language translation on Pixel Phones even without an internet connection. These advancements mark a significant shift toward low-latency, privacy-focused AI applications in consumer tech.

BFSI Sectors

AI is revolutionizing trading and fraud detection. Autonomous financial trading systems can analyze real-time market data, execute automated transactions, and optimize investment strategies, reducing risks while maximizing returns. AI also plays a crucial role in fraud prevention, monitoring millions of transactions per second to detect anomalies and prevent financial crimes in real time. Leading institutions such as JPMorgan leverage AI for market trend analysis, while AI-powered fintech platforms like Robinhood provide personalized investment recommendations to users.

E-commerce and Marketing

This industry is also undergoing significant transformation through AI automation. AI-powered supply chain management enables businesses to autonomously oversee inventory, predict demand fluctuations, and optimize logistics, reducing human intervention and improving efficiency. In marketing, AI personalizes advertisements, promotions, and content based on consumer behavior, leading to higher engagement and improved conversion rates. Companies like Amazon utilize AI to streamline inventory management and logistics, while Netflix applies AI-driven algorithms to personalize content recommendations for individual users.

Manufacturing & Industrial Automation

AI is reshaping production with smart factories and predictive maintenance. AI-driven robots continuously learn to optimize production workflows, minimize material waste, and enhance overall operational efficiency. Predictive maintenance solutions analyze sensor data from industrial machinery, anticipating equipment failures before they occur, thereby reducing downtime and maintenance costs. Tesla is at the forefront of AI-driven manufacturing, developing autonomous robots for vehicle assembly, while Foxconn, Apple’s manufacturing partner, has deployed thousands of AI-powered robots to optimize the assembly of electronic components.

Healthcare

The healthcare sector is also experiencing a revolution with AI-assisted surgery and AI-powered patient care. Robotic surgical systems, such as the Da Vinci Surgical System, enhance precision in medical procedures, reducing post-operative complications and accelerating recovery times. AI nursing assistants are being tested to support elderly care and patient monitoring, addressing global healthcare workforce shortages. In Japan, AI-powered nursing robots are being deployed to assist in caring for the aging population, ensuring high-quality healthcare services despite limited human resources.

Quantum Computing

The Quantum AI breakthroughs in pharmaceuticals and cybersecurity are setting the stage for transformative advancements. Quantum AI significantly accelerates drug discovery by simulating molecular interactions and testing millions of compounds in days instead of years. AI-driven personalized medicine further enhances healthcare by analyzing DNA to predict disease risks and tailor treatment plans for individuals. Companies like Google DeepMind are at the forefront of developing Quantum AI for faster drug discovery. In cybersecurity, AI-powered quantum encryption creates unbreakable security systems capable of countering cyber threats. Organizations such as IBM Quantum are pioneering quantum encryption for financial and military data protection, while NSA and Google are developing post-quantum cryptography to protect systems from future quantum computing threats.

Biotechnology

The future of biotechnology & gene research will be redefined with the Bio-AI. AI-driven cell reprogramming and genetic engineering technologies are enabling scientists to design synthetic cells that combat terminal illnesses and enhance human longevity. Brain-computer interfaces (BCI) are another groundbreaking development, allowing direct communication between humans and machines using brainwave interaction. Neuralink, led by Elon Musk, is pioneering brain implant technology to help paralyzed individuals interact with AI, while CRISPR+AI is being used to edit human genes and develop treatments for genetic disorders like cancer and Parkinson’s disease.

As AI continues to advance across these industries, its impact will be profound, redefining operational efficiency, accelerating innovation, and reshaping the way businesses and societies function in the coming decades.

Key Summary & Part 2

• AI will be advanced to excel further in automation, self-learning & handle complex task. 
• With on-going innovation, new AI Implementations will be a fundamental factor in every business operational core over the next 5-10 years
• Several industries will be redefined & tuned by the next flow of AI Transformation, including automotive, manufacturing, biotechnology, healthcare…

Part 2: Opportunities, challenges & NTQ’s approach to harness AI power