Let’s look around and see how incredible technology has changed. No need to pick up your phone to make a call, all you need to do is say ‘Hey Siri’ and ask her to make a call for you. Having people come over but don’t any food in the fridge? Alexa can order Domino’s for you.

Those are just the beginning.

Apple recently announced that they are making Siri smarter by integrating the system using the artificial intelligence (AI). Google on their annual IoT event said that they would integrate AI to most of their products.

What does it mean?

It means that computers can soon be able to think, predict and understand like humans. With all the technologies behind it, it may also be smarter than us!

It also means that all your activities, mostly online, are recorded and analysed to perform relevant predictions and response to all your inquiries.  

Machine learning, deep learning, and artificial intelligence

Despite the huge stride in AI, the term machine learning, deep learning, and artificial intelligence are something confusing and often interchangeably.

It took me a good amount of time to finally write something on this section.

Artificial intelligence is a branch computer science that is built to show intelligent. There are two types of AI, the artificial general intelligence and applied AI. Artificial general intelligence is when a machine can do what human does, while applied AI helps human to do the impossible.

Machine learning is the most common method in developing AI. It teaches computers to learn from data and perform actions without explicitly told to do it. At the end of the day, machine learning is the brain that executes most predictive actions, like product recommendation or fraud detectors.

Here’s how Siri learns about you. It records your morning commute and scans the articles that you read on Safari to predict suggestions like the latest news or booking reservations.

Or, you might have favourited one of the memories on your album that iPhone has created for you, like ‘The Beach’ or ‘Belgium to Austria. Oh wait, did you tell Siri that you went to the beach for your summer holiday or went on a road trip in Europe? 😉 This is how machine learning learns from your activities and all the data on your phone.  

Deep learning is another model that can be used to develop AI. Instead of requiring a real human to teach it, deep learning can learn by itself. Thus, it requires a huge amount of data to minimise the errors.

Millennials love AI

As I mentioned in my previous article on how millennials are incredibly open with social media, thus it is not a surprise that we are excited the most about AI compared to previous generations.

A research claims that 62% of Millennials value AI for recommending products and services. Many of millennials are willing to exchange personal data, like websites we visited, photos we uploaded and celebrities we followed on Instagram, for personalised suggestions.

We, millennials, demand something to always be personalised and context-sensitive. This is how AI comes into place. It creates suggestion quick and relevant.

Have you ever fallen to the recommended for you section on Amazon? I have, a lot.

Another thing that I love is how Spotify now understand what kind of music that I like. On their ‘Discover Weekly’ playlist, they offer me new music with the genres that I listen to.

Will AI take over our future?

Artificial intelligence is not limited to devices. It can be taken to physical stores to offer you a seamless and immersive experience. AI now has taken part in many roles in business, like customer services with Chatbot or sales with personalised after-self-services, promoting the suitable Internet-based offer in real time.

It is predicted that in 2029, artificial intelligence will be as smart as humans. Today, chatbot, one of AI implementations, is able to chat back and forth like a human. One day, cars will be fully self-driven and computers will be synced to our brains.

In the coming decades, artificial intelligence will replace a lot of human jobs, from driving trucks to analysing X-rays.

Gallup reported that 37% Millennials are at high risk of having they’re replaced by technologies. With minimum experience and has lots of repetition, millennial’s jobs are easy to be done by machines.

“We tend to overestimate the effect of a technology in the short run and underestimate the effect in the long run.” – Ray Amara

We sometimes see future in a short run, both its benefit and threats. Some people are considering AI as a threat of losing their jobs or vanishing the real human interactions.

These real changes where AI will completely co-living with us will probably be one or a few decades away from now. When we look at the long run, we can see how great this technology will help us and increase our life quality.

However, I’m not tech expert nor I can predict the future but I think this topic should be something that we, millennials, care about. Be the millennial that keeps questioning and thinks how AI can impact your work, social and life.



Alifa is a marketer who ended up in tech. A newbie expat in Singapore. She tries to turn her complaints, struggles and memorable moments being a 20-something millennials into a life 'win & learn'; hoping that maybe others would benefit from it. When she’s not writing, she enjoys beaches, workout and pizza.

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