Smoothing AI's Rough Edges: Trends for 2025
Hi, I'm Jon. AI (artificial intelligence) technology is evolving every day, but it's still far from perfect. For example, many applications still don't fully utilize the potential of AI models and agents (functions that allow AI to perform tasks automatically). According to an article published in InfoWorld on September 29, 2025, this is due to engineering shortcuts, weak security, and a disregard for basic best practices. In this article, I'll explain how to smooth out the "rough edges" of AI in an easy-to-understand manner, based on the latest information in 2025. Beginners are welcome to read this article.
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What are the rough edges of AI? Basic problems
First, "rough edges" refers to immature aspects of AI technology and its difficulty to use. An InfoWorld article (September 29, 2025) points out that AI applications are not keeping up with the capabilities of the models and agents. Specifically, developers often create code hastily, resulting in many bugs (errors), and security is weak, putting data at risk of leaks. Best practices include thorough code testing and routine security checks. Treating these things casually will not realize the potential of AI.
To put it simply, for the uninitiated, AI is like a smart robot, but the "house" that powers it is not well-built. If the house is shaky, the robot will not work properly, no matter how smart it is. Now, in 2025, efforts to solve this problem are gaining momentum.
AI challenges in 2025: Key issues and their background
According to McKinsey's Technology Trend Outlook (published July 22, 2025), 2025 will be the year when AI will have a major impact on business. However, there are also many challenges. The Workhuman blog (July 2, 2025) lists five main challenges for AI. We have summarized them below for easy understanding.
- Ethical issues: If AI learns from biased data, it may make unfair decisions. For example, there is a risk of racial or gender bias. To solve this problem, efforts are underway to diversify datasets (collections of training data).
- Data Privacy: AI handles large amounts of data, so protecting personal information is important. As regulations such as GDPR (EU data protection law) become stricter, companies are introducing anonymization technology.
- Economic impact: AI automation may change jobs, but according to McKinsey, this can be addressed by learning new skills.
- Security Vulnerabilities: As mentioned in an InfoWorld article, attacks on AI systems are on the rise, and the zero trust model (always verify security) is gaining attention as a solution.
- Sustainability: AI calculations require a lot of power, so energy-efficient chips are being developed to reduce the environmental impact.
These challenges will shape AI trends in 2025. Crescendo.ai news (September 7, 2025) notes that AI breakthroughs include the integration of automation and analytics, which are transforming industries.
By the way, as a tool to smooth out the rough edges of these AIs, I recommend the recently popular Gamma. Gamma is a tool that uses AI to instantly create documents, slides, and websites, and is easy to use even for beginners. For more information,This articleIt's a perfect example of how to overcome the difficulties of using AI.
The Solution: A Modern Approach for 2025
Let's look at concrete solutions to smooth out the rough edges of AI. InfoQ's trend report (due around September 24, 2025) summarizes trends in AI, ML (machine learning), and data engineering. The main points are as follows:
- Engineering improvements: Avoid shortcuts and apply DevOps (integrated development and operations) to AI, using automated testing tools to find bugs early.
- Enhanced security: According to a WebProNews article (September 28, 2025), the combination of AI agents (autonomous AI) and cybersecurity will be a trend, and a zero-trust model will be introduced to prevent attacks.
- Promoting best practices: Education and tools. In the trending topic of X (formerly Twitter), there are posts predicting that new models such as Claude 4 and GPT-5 will emerge and that the use of agents will become more widespread in 2025. This will improve the reliability of AI.
- Leveraging integrated technologies: According to McKinsey, the combination of AI, IoT (Internet of Things) and blockchain will be key to 2025, enabling real-time business responses.
Additionally, a DEV Community article (around September 22, 2025) points out that multimodal AI (AI that handles text, images, voice, etc.) will become mainstream as an AI breakthrough in 2025. With this evolution, rough edges will likely be gradually eliminated.
Major events in 2025 in chronological order
Let's take a look back at AI-related developments in 2025 in chronological order.
- January 2025: X's post about his predictions about AGI (artificial general intelligence) becomes a hot topic. New model releases from Google and OpenAI are expected.
- March 2025: NodeShift posts highlight the evolution of AI agents and the rise of no-code platforms.
- May 2025: Artificial Analysis report analyzes six major AI trends. Power competition intensifies.
- July 2025: McKinsey publishes outlook ranking the business impact of AI.
- September 2025: InfoWorld article published, sparking discussion of rough edges.
From this information, we can see that 2025 will be the year in which progress will be made in solving AI problems.
Summary: Towards the future of AI
Smoothing the rough edges of AI is key to increasing the reliability of the technology and improving our lives. If ethical and security issues are properly addressed, AI will become a more familiar tool. A good start is to try it out for yourself using a convenient AI tool like Gamma. For more information,This articlePlease check
To sum up, AI is still in its infancy, but looking at the trends for 2025, I feel a bright future awaits. If you're a beginner, why not start with the basic tools? Let's learn while enjoying the evolution of technology.
Reference sources
- InfoWorld: Smoothing out AI's rough edges (September 29, 2025) – https://www.infoworld.com/article/4064367/smoothing-out-ais-rough-edges.html
- McKinsey: Technology trends outlook 2025 (July 22, 2025) – https://www.mckinsey.com/capabilities/mckinsey-digital/our-insights/the-top-trends-in-tech
- Workhuman: 5 Major Challenges of AI in 2025 (July 2, 2025) – https://www.workhuman.com/blog/challenges-of-ai/
- Crescendo.ai: Latest AI News and Breakthroughs (September 7, 2025) – https://www.crescendo.ai/news/latest-ai-news-and-updates
- InfoQ: AI, ML and Data Engineering Trends Report 2025 (around September 24, 2025) – https://www.infoq.com/articles/ai-ml-data-engineering-trends-2025/
- WebProNews: 2025 AI Transformations (September 28, 2025) – https://webpronews.com/2025-ai-transformations-automation-investments-and-ethical-challenges
- DEV Community: The Cutting Edge of AI (around September 22, 2025) – https://dev.to/barak_codes/the-cutting-edge-of-ai-latest-breakthroughs-and-trends-in-2025-4anc
- Related posts from X (formerly Twitter) (January to September 2025): Sharing AI trend forecasts and reports