Artificial Intelligence (AI) slowly crept into our daily lives and businesses in a way that seemed so remote, like a scene from a high-budget Sci-Fi movie. As the year wraps up, it’s time to reflect and face the reality that AI is here to stay.
The big question isn’t if AI exists or whether it will replace humans because both are already relatively true. But it’s time to ask if AI is truly the future of Product Management as we know it or if there’s a way to marry the two without compromising quality and output.
This review analyses the effect of AI in product management so far and why it’s time to welcome its support instead of avoiding it.
AI and Product Management
Today, when you open social media, smartphones, and search engines, you get prompts to use AI. The first answers on Google these days are AI-generated, which shows how much technology now relies on this thing that used to be a phenomenon.
By extension, every business that exists on the internet or has any form of data on the web now has to worry about AI’s impact on its algorithms and data collection.
If you care about evolving your business in 2025, you must find a way to fuse AI into your Product Management.
Here are four ways AI has helped product managers in the last few years.
Information Gathering With AI
Quick, seamless, and accurate information gathering is the stuff of every product manager’s dream, and AI has made that a reality.
Pause for a moment and think of every time a related ad popped up after you’ve discussed or even so much as thought of a product over the phone. Amazon is the biggest example of a brand that leveraged AI for better product promotion, positioning, and increased sales.
Amazon isn’t alone in this practice. Other businesses, from telecommunications to retailers, airlines, banks, financial institutions, and other enterprises, have also tapped into AI.
Perhaps you’ll relate better to this example regarding your Instagram, Facebook, and X usage. You so much as like a content, and the next thing you know, related posts are all over your TL!
The Machine Learning tools study user patterns to give them what they want based on their browsing history and purchase behaviour. As a product manager, consider translating that to sales for your brand.
Virtual Assistants for Better Customer Services
We’ve all seen an ad that makes us want to buy a product we don’t need but get saved when the customer service is slow or terrible.
As Product Managers, you know the struggle of catering to several customers simultaneously, but there’s only so much one person can do.
Here come the Virtual Assistants and chatbots to the rescue! They’re everywhere now, from banking apps to cable TV subscriptions, telecommunications, and every business that uses an online customer support system.
Gone are the days when businesses lost customers over poor service. Well, it’s not totally gone, but it has significantly reduced with the existence of chatbots. Customers follow a few prompts and get the best answers to FAQs. The AI chatbots improve their experiences and sell products before they can change their minds!
Accurate Data Analysis and Decision Making
Let’s bring it back to the administrative part of Product Management. AI makes studying market trends for predictive analysis faster and more accurate than without the technology.
When interpreting data and using it for relevant decision-making, you can rely on AI to give you real-time answers for optimal results.
Increased Efficiency and Output
This might be my favourite part of using AI in Product Management, and it’s about to be yours too! Sometimes, we droll on when work isn’t challenging, but you can’t avoid mundanity in product management or any business, for that matter.
The job's “boring” aspects are the wheels that keep the whole mechanism spinning.
So here’s a solution with AI. You automate your basic duties so that the technology leaves time for you to handle more complex and demanding aspects of your job!
After all, the essence of product management is exponential output from the least possible effort. I’m not saying you wouldn’t work for the desired result, but wouldn’t it be nice to get incredible returns beyond your expectations?
I bet you’re ready to see how you can marry AI to product management and have a better 2025 for your business.
Some AI Tools for Product Management
This is what I call “Everybody is using it”, so why not test-run it? The best part is that you can always test-run an AI tool before using it for your Product Management. So, here are the top tools for product managers to use in 2025 in no particular order:
- Microsoft Teams and Slack are ideal for workspace communication
- Motion helps with Automation
- Figma AI organizes your ideas
- Zeda.io is ideal for feedback
- Google Gemini for market reviews and chat simulation
- ChatGPT by OpenAI for Data Management
AI isn’t going anywhere, so it’s best to find ways to integrate with the new status quo lest it kick you out of your spot.
The Verdict
AI is the future of product management if you want your business to be at the fore of its peers when discussing success stories in 2025. However, the desire for success is one thing, while working towards achievement is another.
Thankfully, AI isn’t an abstract idea anymore, and you can take steps to improve your knowledge in the field and bolster your business.
- Identify your aims and objectives for 2025.
- Highlight the business aspects you need to improve.
- Note how AI can help with numbers one and two.
The ultimate takeaway is that we shouldn’t fear AI coming to take over product management but instead harness its powers to evolve the business. Shore up your skills where necessary and prepare for the future. I look forward to seeing how Product Managers interact with AI in the coming year.
