Beginner in Game Development, Which Engine Should I Use? Comparison of Unity vs Unreal vs Godot (Focusing on Free Engines) Choosing a Game Engine: Know This First: 5 Key Q&A Q1. What is a Game Engine? Is it necessary to use one? A. Think of a game engine as a set of development tools that bundles essential functions required for making games, similar to a car engine. It includes features like rendering graphics on-screen ( Rendering ), physics effects for characters colliding with walls or jumping ( Physics Engine ), and playing background music or sound effects ( Audio System ). While it's possible to create a game from scratch without an engine, it requires an immense amount of time and effort, which is why most developers today use game engines, especially beginners! Q2. I want to start game development; are there any good free engines available? A. Yes,...
AI and Jobs: Key Facts You Should Know - 5 Essential Q&A
Q1. Will AI really make jobs disappear?
It's more accurate to say jobs will 'change' rather than 'disappear.' Recent large-scale studies suggest that AI will not completely replace jobs but will automate certain 'tasks' that make up those jobs. Simple, repetitive tasks will be handed over to AI, allowing humans to focus on more creative and critical decisions.
Q2. Does using AI really increase productivity?
The potential is enormous. Analyses suggest that productivity could increase by 0.5% to 3.4% annually on a macro level. However, this won't happen just by implementing AI tools. The organizational workflow and the skill levels of team members must also evolve to achieve these numbers.
Q3. What types of jobs will be most affected?
Jobs involving repetitive 'knowledge work' like data entry, simple document creation, and information summarization will be most affected. Conversely, jobs requiring direct human interaction, responsibility for safety on-site, or final legal accountability are harder for AI to fully replace.
Q4. Are new laws or regulations regarding AI being introduced?
Yes, a notable example is the 'AI Act' from the European Union. This law categorizes AI technologies based on risk levels, applying stricter requirements to 'high-risk AI' that significantly impacts people, such as in hiring or performance evaluations. Other countries, including ours, are preparing similar regulations.
Q5. How do you foresee the global job market changing?
According to the World Economic Forum's 'Future of Jobs Report,' while the demand for jobs requiring AI and automation skills is expected to surge, the demand for some roles, like simple administrative positions, may decline. However, whether jobs overall will increase or decrease will vary significantly based on industry structure and national policies.
It's only been a few years since generative AI like ChatGPT has woven itself into our daily lives. We now live in an era where we refine emails drafted by AI and enhance presentations with images created by AI. Amid this massive wave of change, many people feel anxious. Questions like 'Is my job really safe?' and 'Will I be replaced by AI?' arise. However, experts say that rather than eliminating entire 'jobs,' AI will fundamentally change the 'ways' we work. Today, we will explore the 10 jobs that are changing the most and the preparations we need to make in this era of transformation.
Background of Change: Why Are 'Tasks' Changing Instead of 'Jobs'?
To understand the impact of AI on our work, the key term is not 'Job' but 'Task.' AI does not aim to replace the entire job of a 'marketer' but rather automates repetitive and structured tasks within that job, such as 'drafting advertising copy' or 'summarizing market data.' As a result, the composition of tasks within the role of a marketer changes.
Tasks Being Automated: Data entry, simple summarization, etc.
Tasks Augmented by AI: Data analysis, draft writing, etc.
Tasks Still Requiring Humans: Final decisions, emotional interactions with clients, legal responsibilities, etc.
Ultimately, competitiveness in the AI era will depend on how well we delegate automated tasks to AI and how effectively we use the time saved for more important and creative 'human work.'
Industry Developments: 10 Jobs Most Affected by AI First
So, which specific jobs are having their 'tasks' reorganized? Let's look at 10 examples of these changes.
1. Customer Support / Call Center: Initial responses to simple inquiries will be handled by AI chatbots. Human agents will focus on resolving more complex and emotionally charged issues based on customer information summarized by AI. Skills for solving high-level problems and empathizing with customers will become more important than memorizing scripts.
2. Marketing, Copywriting, Design Assistance: Marketers will obtain drafts for advertisements or blog posts and ideas for social media postings from AI, allowing them to focus on refining the results to match the brand's tone and designing A/B tests to determine which messages are more effective. The ability to ask precise questions to AI, known as 'prompt engineering,' will become more important than just writing well.
3. Software Engineer/QA: AI tools like GitHub Copilot will take over simple and repetitive code writing, allowing developers to spend more time on complex system design and reviewing code quality and security vulnerabilities. The role will shift from merely coding to becoming a 'designer' who oversees the entire system.
4. Data Analysis / Research: AI will quickly organize vast amounts of data and create basic charts. Analysts will use the time saved to ask deeper questions like 'What does this data really mean?' and 'What hypotheses should we formulate and validate?' The ability to see through data pitfalls and ask the right questions will become essential.
5. Accounting / Finance / Auditing (Back Office): Entering receipts or vouchers and reconciling ledgers is one of the areas where AI excels. Accountants will use the time saved to analyze financial risks for the company or devise better tax strategies, focusing on high-level 'judgment' tasks.
6. Legal Assistants / Paralegals / e-Discovery: Searching and summarizing vast amounts of case law or legal documents can be done much faster and more accurately by AI. Legal professionals will focus on crafting optimal strategies for clients and negotiating or arguing in court based on the materials organized by AI.
7. Medical Imaging / Diagnostic Assistance: AI will first highlight suspicious areas in CT or MRI scans that may indicate cancer cells, allowing radiologists to focus on final reviews and comprehensive diagnoses. AI will serve as an 'assistant' that enhances accuracy and speed in interpretation.
8. Education / Tutoring / Job Training: 'AI tutors' that provide customized problems based on individual student levels and offer feedback on assignments will become commonplace. Teachers will be able to focus more on motivating students and fostering social skills, reducing the burden of knowledge delivery.
9. Translation / Localization: AI will likely replace the initial translation of simple sentences. Professional translators will concentrate on 'post-editing' tasks that refine cultural nuances, literary expressions, and subtle tones in legal documents that machines might overlook.
10. Logistics / Retail Operations: AI will analyze past sales data to predict future demand and optimize inventory management and delivery routes. On-site employees will focus more on managing the system and addressing unforeseen issues (customer complaints, delivery delays, etc.) rather than merely stocking products or conducting inventory checks.
Episode: A Day in the Life of Marketer Lee Ji-hye
Content marketer Lee Ji-hye's work has completely changed since the introduction of AI. "In the past, it took half a day to research and draft a single blog post. Now, I just give AI a topic and key keywords, and I receive a draft in 10 minutes. I spend the remaining time refining the article to match our brand tone and designing A/B tests to find the most appealing titles. It’s shifted my focus from the quantity of work to the quality."
Turning Point: 5 Transition Skills to Safeguard Your Career
In this era of change, what skills should we develop? Experts emphasize five core competencies.
Prompt and Review Skills: The ability to ask AI precise questions and verify whether the results it provides are accurate or biased.
Data Literacy: A basic understanding of how data is collected in your field and how AI models operate.
Systems Thinking: The ability to break down your current work into smaller units and redesign which parts can be automated by AI and where to focus your own capabilities.
Ethical and Regulatory Sensitivity: Understanding the ethical and legal issues that may arise when using AI and adopting a responsible approach.
Learning Agility: The flexible ability to quickly learn the principles of new technologies and apply them to your work, rather than being dependent on specific AI tools.
Episode: Attorney Park Ji-sung from a Law Firm
Attorney Park Ji-sung recently adopted an AI-based case law search system. "In the past, it would take me several nights to find a relevant case, but now I just enter a few keywords, and AI summarizes the most relevant cases in under a minute." He is now using the time saved to focus more on consulting with clients or formulating trial strategies. "AI hasn't taken my job; it has given me wings to focus on more important work."
Conclusion: Immediate Actions for Individuals, Companies, and Nations
As we face the enormous wave of AI, what preparations should we make? Efforts are needed from individuals, businesses, and society as a whole.
Individuals need to practice categorizing their work into three types: (1) Simple repetitive tasks that AI can fully replace, (2) Tasks that can be done faster and better with AI assistance, and (3) Unique tasks that only humans can perform, such as empathy, communication, ethical judgment, and final accountability. They should consciously strive to invest more time in categories (2) and (3).
Businesses should not just stop at implementing AI tools. They need to define new roles and performance metrics suitable for the AI era and actively provide retraining opportunities for employees to learn new technologies. Governments must strengthen social safety nets to ensure no one is left behind in this transition and innovate educational systems to equip all citizens with the foundational skills to thrive in the AI era.
In-Depth Exploration 1: EU AI Act - How New Rules Will Change Jobs in the AI Era
As AI technology advances, governments around the world are beginning to consider how to regulate and manage AI. At the forefront is the European Union's 'AI Act.' This law categorizes AI into four levels based on risk, applying stricter regulations as the risk level increases.
Particularly noteworthy in relation to our jobs is the area classified as 'High-Risk AI'. This includes AI systems that evaluate job applicants' resumes, analyze employee performance, or assess loan applicants' creditworthiness. The AI Act imposes very strict obligations on these high-risk AI systems, requiring improved data quality, transparent documentation of decision-making processes, and human oversight at all times.
This means that companies leveraging AI will need to go beyond simply adopting technology; they will also need to take on the critical role of 'verifying' and 'accountability' to ensure that the technology operates fairly and transparently. In other words, there will be a growing demand for new jobs such as AI ethics specialists, AI system auditors, and data governance experts.
In-Depth Exploration 2: The AI Productivity Paradox - Why Aren't We Feeling It Yet?
Many experts predict that AI will lead to tremendous productivity gains, but why don’t we yet feel that 'work has drastically reduced because of AI' in our daily lives? This can be referred to as the 'AI productivity paradox.'
A similar phenomenon was observed when the internet and computers were first introduced. It often takes longer than expected for new technologies to elevate overall productivity in society. The reasons for this are threefold: First, the initial costs (hardware, software, training, etc.) of adopting the technology are substantial. Second, it takes time to redesign workflows and change organizational culture to align with the technology. Third, there is a need for reskilling to ensure that all members can proficiently utilize the new technology.
Thus, AI is not simply a faster calculator. It is a tool that changes the very way we work, requiring time for society as a whole to adapt and evolve before its full potential can be realized. We are currently standing in the midst of that monumental transition.
FAQ: How to Safeguard Your Career
Q. What skills are most needed in the AI era?
The most essential skills are undeniably 'the ability to ask questions' and 'the ability to critically review'. Defining precisely what problems to solve with AI and verifying whether the results it produces are accurate or biased is a role that only humans can fulfill.
Q. Do I need to learn coding to survive?
Not everyone needs to become a developer. However, having a basic 'data literacy' regarding how data is collected in your field and how AI models operate is crucial. Understanding the pitfalls of data and being able to collaborate with AI is necessary.
Author Information: The content of this article has been objectively structured from the perspective of 'task-level reorganization' based on official reports from the World Economic Forum (WEF), OECD, International Labour Organization (ILO), regulatory trends such as the EU AI Act, and analyses from major research institutions like McKinsey.
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