State of AI in the First Half of 2024
2024-09-24
目次
1. Executive Summary
This article examines the rapid increase in the adoption of generative AI (Gen AI) in the first half of 2024 and its concrete impact on businesses. Based on the latest survey results, we explore how companies are leveraging Gen AI to create value. We also analyze risk management and future challenges, providing strategic insights to support sustainable growth and maintain a competitive edge.
2. Background and Current Analysis
2.1 Background
AI technology has seen significant advancements in recent years, with Gen AI gaining particular attention in fields like natural language processing and image generation. According to the latest global AI survey released by McKinsey & Company on May 30, 2024, the adoption of Gen AI is rapidly increasing worldwide.
2.2 Current Trends and Challenges
The adoption rate of Gen AI has risen significantly year-over-year, with widespread implementation across various industries. However, challenges such as "inaccuracy" and "cybersecurity concerns" have also emerged, highlighting the need for robust risk management frameworks and addressing the shortage of skilled professionals.
3. Main Content
3.1 Detailed Analysis of the Main Theme
Rise of Company Adoptation in AI
The adoption rate of AI has reached 72% in 2024, up significantly from around 50% in the previous year (see Figure 1). This trend is observed globally, with the professional services sector leading the way.
図1：世界的なAI採用率の推移
Utilization Across Multiple Functions
Half of the companies are now using AI in two or more business functions, a significant increase from approximately one-third in the previous year (see Figure 2). Gen AI, in particular, is being utilized across a wide range of applications, including automated generation of text, images, and audio.
図2：ビジネス機能別のAI採用状況
3.2 Business Application Cases
Key Application Areas of Gen AI
65% of respondents reported using Gen AI in at least one business function regularly, which is nearly double from the previous year. The key application areas include marketing and sales, product and service development, and IT. Particularly, the adoption rate in marketing and sales has more than doubled year-over-year (see Figure 3).
図3：部門別のGen AI採用率
Increase in Individual Usage
The use of Gen AI at the individual level is also on the rise, with more people incorporating it into both their professional and personal lives (see Figure 4). This trend is leading to improved work efficiency and enhanced creativity.
図4：個人によるGen AIの利用状況
3.3 Technical and Organizational Challenges
Risks and Mitigation Strategies
The main risks identified include "inaccuracy," with 44% of respondents experiencing negative impacts (see Figure 5). Cybersecurity and lack of explainability are also concerns, with many companies lacking governance frameworks and expertise for risk management.
図5：Gen AIに関連するリスクの認識と影響
Lack of Risk Management
Many companies have yet to establish adequate governance frameworks or acquire the specialized expertise needed for effective risk management. Only 18% of companies have set up company-wide AI governance committees, highlighting the organizational challenges that remain.
4. Future Outlook and Strategic Insights
4.1 Future Potential and Business Impact
Over the next three years, 67% of respondents plan to increase their AI investments. Gen AI is expected to evolve into more sophisticated models with enhanced natural language processing capabilities, further supporting decision-making and automating marketing efforts.
4.2 Action Plan and Recommended Strategies for Companies
Strengthening Risk Management
Companies need to establish robust risk management frameworks and promote the development of specialized talent.
Upskilling Workforce
Securing technical experts and providing training and development for existing employees will be essential.
Strategic Investment and Partnerships
Running small-scale pilot projects and learning from successful case studies can enable more effective Gen AI adoption.
5. Conclusion and Key Takeaways
The adoption of generative AI is rapidly increasing worldwide and is beginning to deliver tangible business value. However, addressing technical and organizational challenges will require robust risk management and talent development. Companies must engage in strategic investments and execution to achieve sustainable growth and maintain competitive advantages.
Source
McKinsey & Company, “The State of AI in Early 2024: The Rapid Adoption of Generative AI and Its Emerging Business Value”
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