10 Key Sales Forecasting Techniques for 2025
Jul 2, 2025 in Machine Learning
Discover the top 10 sales forecasting techniques for 2025. This guide covers everything from time series to machine learning for ultimate accuracy.
Not a member? Sign up now
AI's Future Impact
Kelwin on Apr 24, 2024
Artificial Intelligence (AI) is making waves across all industries and is ready to change every aspect of our professional lives. Today, as we stand on the edge of a technological revolution, the future of AI and its impact on the job market has become a hot topic of discussion. In this article, we’ll offer our perspective on how AI will transform our lives as individuals who’ve been working in this field for over a decade. From the short-term shifts to the long-term predictions, let’s discuss what opportunities and challenges we think lie ahead in AI.
The fear of losing your job due to AI is a common concern. However, history has shown us that with every new invention, certain jobs migrate or evolve. Most technologies end up creating more jobs than they displace. For instance, self-service systems in fast-food chains may replace cashier jobs, but these jobs are still being created in different locations.
AI’s challenge is that it influences a wide range of industries, making it interesting to understand its potential long-term impact on jobs.
Reflecting on the future of AI, we predict that people will start using AI as a daily tool in about two years. Companies will embrace initiatives that were previously out of reach, such as data marketing. This will lower the entry barrier for businesses tackling certain areas without requiring human expertise, which will impact jobs that focus on very technical tasks.
Instead of focusing on tasks that are mainly technical or mechanical, try to position yourself as an advisor or strategist who can define the strategy for how these companies will use these technologies.
In about five years, AI will become as essential as Excel is to accountants. It’ll be a tool that people will have to learn, regardless of where they work, like learning English or how to use a computer. It could also become part of the school curriculum, and everyone would have to know how to use it.
From a company’s perspective, customers will demand that their services be provided at a level that an individual human cannot provide without AI. Thus, AI will become a daily reality for all of us.
Considering the future of AI, in about 20 years, we predict that AI will replace most jobs. This might lead to high unemployment, but at the same time, there will be an exponential increase in productivity. This will lead to a higher supply of most products, which will make them super affordable.
Although it might sound bleak, this scenario could lead to a world of entrepreneurs where people focus on identifying problems and finding creative ways of solving them. People could build companies without a lot of capital, and they could scale as long as they are good at solving problems.
Whether our predictions come true or not, one thing is certain: what you are doing today, you won’t be doing in 20 years. So, embrace change and adapt your skill sets to face this reality. If AI is a technology that replaces your job, make sure you are good at problem-solving. If you follow this advice, you’ll become a better professional, regardless of whether our predictions are wrong or accurate.
Remember, if you’re looking for trusted advice on AI, NILG.AI is here to help. You can book a meeting with us to discuss strategies to incorporate AI into your business or download our ebook for more information.
Like this story?
Special offers, latest news and quality content in your inbox.
Jul 2, 2025 in Machine Learning
Discover the top 10 sales forecasting techniques for 2025. This guide covers everything from time series to machine learning for ultimate accuracy.
Jul 2, 2025 in Technical
Discover key business intelligence dashboard examples to enhance your data insights. Explore trending dashboards for impactful decision-making in 2025.
Jul 2, 2025 in Machine Learning
A practical guide to predicting customer churn. Learn how to build a churn prediction model, from data prep to actionable retention strategies.
Cookie | Duration | Description |
---|---|---|
cookielawinfo-checkbox-analytics | 11 months | This cookie is set by GDPR Cookie Consent plugin. The cookie is used to store the user consent for the cookies in the category "Analytics". |
cookielawinfo-checkbox-functional | 11 months | The cookie is set by GDPR cookie consent to record the user consent for the cookies in the category "Functional". |
cookielawinfo-checkbox-necessary | 11 months | This cookie is set by GDPR Cookie Consent plugin. The cookies is used to store the user consent for the cookies in the category "Necessary". |
cookielawinfo-checkbox-others | 11 months | This cookie is set by GDPR Cookie Consent plugin. The cookie is used to store the user consent for the cookies in the category "Other. |
cookielawinfo-checkbox-performance | 11 months | This cookie is set by GDPR Cookie Consent plugin. The cookie is used to store the user consent for the cookies in the category "Performance". |
viewed_cookie_policy | 11 months | The cookie is set by the GDPR Cookie Consent plugin and is used to store whether or not user has consented to the use of cookies. It does not store any personal data. |