STK Leads the Trends _ AI Trend
AI in Action:
Redefining Business and Society in 2025
By Wonick Park, Journalist, The Miilk
01 Introduction
AI (artificial intelligence) technology is a driving force, transforming industries and deeply integrated into our lives. ChatGPT’s unprecedented growth to 800 million monthly active users in just 17 months, as reported by BOND, illustrates this shift. AI’s advancement accelerates digital transformation (DX), boosting productivity and uncovering new business opportunities across education, healthcare, finance, and manufacturing.
02 Market Landscape
The global AI market is experiencing explosive growth, projected to reach $390.91 billion in 2025 from $279.22 billion in 2024, with a 35.9% CAGR to $1.81 trillion by 2030 (Grand View Research). Software solutions dominated in 2024 (35.0% market share), and the operations segment held the largest revenue share due to AI’s role in predictive maintenance and process automation. Advertising and media led end-use revenue, driven by precision marketing, and deep learning held the largest technology share.
Generative AI is a key driver, with Gartner forecasting global spending to reach $644 billion in 2025 (76.4% increase over 2024). Approximately 80% of this budget is expected to go to hardware, highlighting the need for substantial infrastructure. North America led revenue in 2024 (29.5%) due to proactive government initiatives and R&D, while Asia-Pacific is projected for the fastest growth.
03 Key Trends for 2025
1. The Rise of AI Agents and Automation of Complex Tasks
AI agents, intelligent systems capable of autonomously executing complex, multi-step tasks by understanding user intent, are set to go mainstream. Examples include OpenAI’s Codex and Operator, Anthropic’s “Computer Use” agent, and solutions from Google and Microsoft. These agents enable real-time, situationally aware automation by integrating enterprise data and workflows, exemplified by a U.S. insurer reducing a two-day process to three hours with an AI agent.
2. Expansion of Multimodal AI and Enriched Experiences
Multimodal AI processes diverse data types—text, images, audio, video—simultaneously, mimicking human perception. In healthcare, it improves diagnostics by combining medical imaging and patient records. In retail, it analyzes speech tone, facial expressions, and text for hyper-personalized experiences. Google I/O 2025 unveiled Project Astra, integrating object recognition and real-time voice interaction into Gemini Live, showing commercialized multimodal AI gaining traction.
3. Building Trustworthy AI and Navigating Regulatory Landscapes
Rapid AI proliferation highlights ethical issues, data bias, and opacity. Joshua Bengio founded LawZero to address these concerns. Regulatory frameworks are evolving, with the EU’s comprehensive AI Act (March 2024, full enforcement 2026) categorizing AI systems by risk. The U.S. favors a flexible approach, issuing executive orders for AI R&D and directing NIST to develop technical standards.
4. Mainstreaming Generative AI and Accelerating Industry-Specific Applications
Companies are focusing on "delivering tangible business value" with generative AI. Hybrid approaches combining traditional AI/ML with generative models are increasing. SAS’s “2025 AI Trends Outlook” predicts a focus on industry-specialized analytical models, such as healthcare-specific or finance-specific services. Domain-expert large language models (LLMs) and smaller, specialized LLMs (sLLMs) trained on niche data sets provide higher accuracy. The open-source LLM ecosystem further empowers tailored model deployment.
Future Outlook & Implications
The AI industry will continue to expand and evolve. Companies will prioritize AI ROI and tangible business outcomes, establishing AI as a core competitive asset.
AI will also accelerate labor market shifts. The IMF warns AI could affect 40% of global jobs, but skillful adoption can turn challenges into opportunities; PwC projects a 27% revenue-per-employee boost in AI-exposed industries. Continuous learning and adaptability are critical.
The focus should shift to "sustainable integration capabilities": embedding new technologies, ensuring high-quality data, addressing ethical and regulatory requirements, and operating sustainably. PwC advises organizations to "treat AI as a top priority, pursue enterprise-wide transformation, integrate growth strategies, prioritize agent-based AI, secure key talent and technology, and build trust around AI usage."
© STK. All rights reserved. Unauthorized reproduction, distribution, modification, or commercial use of this content is strictly prohibited and may result in civil or criminal liability under applicable laws.
STK Leads the Trends _ AI Trend
AI in Action:
Redefining Business and Society in 2025
By Wonick Park, Journalist, The Miilk
01 Introduction
AI (artificial intelligence) technology is a driving force, transforming industries and deeply integrated into our lives. ChatGPT’s unprecedented growth to 800 million monthly active users in just 17 months, as reported by BOND, illustrates this shift. AI’s advancement accelerates digital transformation (DX), boosting productivity and uncovering new business opportunities across education, healthcare, finance, and manufacturing.
02 Market Landscape
The global AI market is experiencing explosive growth, projected to reach $390.91 billion in 2025 from $279.22 billion in 2024, with a 35.9% CAGR to $1.81 trillion by 2030 (Grand View Research). Software solutions dominated in 2024 (35.0% market share), and the operations segment held the largest revenue share due to AI’s role in predictive maintenance and process automation. Advertising and media led end-use revenue, driven by precision marketing, and deep learning held the largest technology share.
Generative AI is a key driver, with Gartner forecasting global spending to reach $644 billion in 2025 (76.4% increase over 2024). Approximately 80% of this budget is expected to go to hardware, highlighting the need for substantial infrastructure. North America led revenue in 2024 (29.5%) due to proactive government initiatives and R&D, while Asia-Pacific is projected for the fastest growth.
03 Key Trends for 2025
1. The Rise of AI Agents and Automation of Complex Tasks
AI agents, intelligent systems capable of autonomously executing complex, multi-step tasks by understanding user intent, are set to go mainstream. Examples include OpenAI’s Codex and Operator, Anthropic’s “Computer Use” agent, and solutions from Google and Microsoft. These agents enable real-time, situationally aware automation by integrating enterprise data and workflows, exemplified by a U.S. insurer reducing a two-day process to three hours with an AI agent.
2. Expansion of Multimodal AI and Enriched Experiences
Multimodal AI processes diverse data types—text, images, audio, video—simultaneously, mimicking human perception. In healthcare, it improves diagnostics by combining medical imaging and patient records. In retail, it analyzes speech tone, facial expressions, and text for hyper-personalized experiences. Google I/O 2025 unveiled Project Astra, integrating object recognition and real-time voice interaction into Gemini Live, showing commercialized multimodal AI gaining traction.
3. Building Trustworthy AI and Navigating Regulatory Landscapes
Rapid AI proliferation highlights ethical issues, data bias, and opacity. Joshua Bengio founded LawZero to address these concerns. Regulatory frameworks are evolving, with the EU’s comprehensive AI Act (March 2024, full enforcement 2026) categorizing AI systems by risk. The U.S. favors a flexible approach, issuing executive orders for AI R&D and directing NIST to develop technical standards.
4. Mainstreaming Generative AI and Accelerating Industry-Specific Applications
Companies are focusing on "delivering tangible business value" with generative AI. Hybrid approaches combining traditional AI/ML with generative models are increasing. SAS’s “2025 AI Trends Outlook” predicts a focus on industry-specialized analytical models, such as healthcare-specific or finance-specific services. Domain-expert large language models (LLMs) and smaller, specialized LLMs (sLLMs) trained on niche data sets provide higher accuracy. The open-source LLM ecosystem further empowers tailored model deployment.
Future Outlook & Implications
The AI industry will continue to expand and evolve. Companies will prioritize AI ROI and tangible business outcomes, establishing AI as a core competitive asset.
AI will also accelerate labor market shifts. The IMF warns AI could affect 40% of global jobs, but skillful adoption can turn challenges into opportunities; PwC projects a 27% revenue-per-employee boost in AI-exposed industries. Continuous learning and adaptability are critical.
The focus should shift to "sustainable integration capabilities": embedding new technologies, ensuring high-quality data, addressing ethical and regulatory requirements, and operating sustainably. PwC advises organizations to "treat AI as a top priority, pursue enterprise-wide transformation, integrate growth strategies, prioritize agent-based AI, secure key talent and technology, and build trust around AI usage."
© STK. All rights reserved. Unauthorized reproduction, distribution, modification, or commercial use of this content is strictly prohibited and may result in civil or criminal liability under applicable laws.