AI Trends: Envisioning the Future of AI Technology in 2024

Did you know that 100% of all organizations will be using AI by 2025? Now that the world has a taste of artificial intelligence (AI), we can’t seem to get enough.

As we dedicate billions of dollars and the best data scientists to developing AI, it is rapidly evolving. It has already made a huge impact on automation through the widespread adoption of AI technologies, which is becoming increasingly evident. 

From the ethical considerations that arise with AI integration to its profound influence on marketing strategies and healthcare systems, we navigate the transformative power of AI and where it may take us in the future.

We may not have the prediction skills of Microsoft’s Bill Gates, but we have plenty of experience as passionate observers of the AI technology realm. So join us as we uncover how AI is reshaping our world and where it may lead us next.

Priority in ethics and responsibility

As AI becomes prevalent in our day-to-day lives, more and more data is put into its hands, sometimes even without knowing it. This can lead to many vulnerabilities in terms of privacy and security. There is a growing risk of misuse, unauthorized access, and leaks which can be incredibly detrimental to those affected.

Privacy is another concern when approaching the subset of AI capable of creating fake videos, images, and voices. 

In practice, it is an incredible technological advancement with the full potential to be used for good. However, Deepfake is an example of how it can steal identities, fabricate hoaxes, and spread harmful content. Cybersecurity has never been so important.

All in all, we can see that with the increasing involvement of AI in our world, it gains more power to turn things ugly. 

This is why developers and business leaders will need to prioritize the ethical use of AI, AI regulation, and admit complete responsibility otherwise. Privacy and security are just the tip of the iceberg when it comes to AI ethics; many more dilemmas will likely crop up in the future. 

What do we mean by ethics in AI?Transparent: Clear, consistent, and understandable in its working.Explainable and Interpretable: Ability to explain the workings in language people can understand.Fair: Eliminates or reduces the impact of bias on certain users.Auditable: Allows third-parties to asses data inputs and provide assurance that the outputs can be trusted.


Let’s look in more detail at where ethics and responsibility in AI will pop up:

Exploitation concerns arise

As we mentioned, AI applications that create fake content have been and will be used for exploitation, whether that be sexual or otherwise. We previously looked into the rising concern of AI nude generators, which provides insight into what should be banned to protect those who may fall victim to exploitation and those who see it. 

Due to AI porn being more accessible for anyone to create, it can quickly get out of control. In 2019 alone, there were 14,000 deepfake videos online, and 96% of those were porn. Since this was a few years ago, we don’t need data science to know that the number has only increased.

With this, new policies and legal concerns will be brought to the table to control this issue.

Bias reduction is reduced

Bias reduction means making things fair. In AI, it’s about making sure that it doesn’t favor some groups over others. AI learns from data, and if that data is biased, it can lead to unfair outcomes.

Bias can be about gender, race, or other characteristics. For example, if an AI system is used to decide who gets a job and it’s not trained properly, it might favor one gender or race over another.

Bias reduction in AI is expected to be a significant trend in 2023 and the future. The focus will be on developing techniques to ensure that AI systems make fair decisions. 

This involves addressing biases in the data used for training and continuously monitoring and refining algorithms to ensure fairness in real-world applications. Increasing transparency in AI systems will also be a priority, allowing users to understand how decisions are made. 

The ultimate goal is to create fair, unbiased AI systems that respect everyone’s rights and dignity. A study by the US Department of Commerce stated that people of color were often misidentified by AI facial recognition. 

AI regulations in the workforce

When it comes to the future state of AI, one concern is that it can replace jobs. This is true because AI can automate tasks that humans traditionally did. This can make processes more efficient and cost-effective. However, it also raises concerns about job loss, with 85 million jobs predicted to be replaced by 2025.

To address this, we will see governments and organizations implementing regulations to manage the impact of AI capabilities on jobs to strike a balance between leveraging the software for productivity improvement and creating new job opportunities while protecting workers’ rights.

These regulations may involve initiatives such as retraining programs to help workers adapt to new roles or industries. They may also require companies to explain when AI systems are used for hiring, firing, or promotion decision-making to allow for a transparent, accountable workplace culture.

'Employees' future concerns about artificial intelligence'31%: A robot will take my job23%: I will end up relying on robots20%: Robots will play a bigger role in the military18%: Don't know5%: My friends will date robots3%: Other


Templates for everything

Whether you need to create a presentation, design a website, or write a business plan, AI is making it easier than ever to generate templates to serve as a starting point.

From resumes to event invitations, social media posts to marketing materials, AI-generated content and templates will cover a wide range of purposes. They will help you create high-quality content without requiring advanced design skills.

Templates will not only focus on aesthetics but also provide a framework of necessary sections and suggested content ideas, making it easier to complete your projects.

LinkedIn job descriptions, business applications, and Amazon descriptions are all use cases which AI will have a template for. This will ensure you hit all the right beats whilst keeping your own personal touch.

By utilizing generative AI tools, you’ll save time, stimulate your creativity, and ensure consistency in your work. Whether you’re a student, professional, or entrepreneur, these templates will be valuable resources to enhance productivity.

AI saves more lives in healthcare

In the future, AI will play a significant role in healthcare. It will help doctors and nurses provide better care by analyzing vast data and spotting patterns humans might miss. This will lead to more accurate diagnoses and personalized treatment.

AI-powered devices will monitor patients’ health in real-time, alerting healthcare teams to abnormalities. This continuous monitoring will improve patient stability and allow for quick interventions.

Individuals can access smart health apps that track their exercise, nutrition, and sleep. These will provide personalized recommendations to support overall wellness and help people achieve their health goals.

Moreover, AI adoption in the healthcare industry will accelerate medical research by analyzing large datasets and aiding scientists in finding new treatments and breakthroughs more efficiently. This will contribute to developing more effective medications and advancements in healthcare.

AI will also streamline administrative tasks, such as appointment scheduling and record management, allowing doctors and nursess to spend more time with patients.

'AI, edge computing and 5G will transform healthcare'Drug discovery: Accelerating the discovery process and saving millions in costs by identification of novel compounds for drug candidates, biomarket identification and drug repurposing.Improving Speed & Accuracy of Diagnosis: Reduce time to check images and reduce misdiagnosis rates.EHR (Electronic Health Records): Data extraction from free text. Diagnostic and predictive algorithms. Clinical documentation and data entry. Clinical decision support.Robotic Surgery: Robotic surgery over a 5G network, robots performing remotely-controlled surgery.Clinical Trials: IoT real-time monitoring of patients with sensors & wearables. NLP for patient data extraction & matching the patient to a clinical trial. Text mining to inform current trial design from previous trials.


Let’s look at some closer instances where AI will develop in healthcare.

Personalized services for patients

In the future, AI will revolutionize healthcare by using advanced technologies to gather and analyze huge amounts of patient data. This data includes medical history, genetics, lifestyle choices, and more, applying computer vision to make sense of it.

Communication between patients and healthcare professionals will also improve with AI. E-commerce chatbots and virtual assistants powered by AI can answer your questions, provide guidance, and even remind you to take medications or attend appointments. 

AI counselors step in

AI can offer personalized counseling by providing coping strategies, relaxation techniques, and helpful resources tailored to your specific needs. It’s like having a virtual counselor available whenever you need someone to talk to.

AI will also assist in the early detection and monitoring of mental health conditions. By analyzing data from different sources like social media or wearable devices, AI can identify changes in your behavior or mood that might indicate a potential mental health concern. This is done through the Internet of Things (IoT).

More people will have the ability to communicate with a virtual counselor in a comfortable and convenient setting through video calls or chat interfaces. AI can listen, provide empathetic responses, and offer guidance, creating a safe space for you to express your thoughts and feelings.

5 Use Cases of Therapist Chatbots1: Patient Onboarding2: Illness Diagnosis3: Psychotherapy4: Track Patients Condition5: Life Coaching Services


There have also been instances where innovative AI models have been used to teach mental health professionals. A ‘crisis contact simulator’ created by the Trevor Project and Google generates digital conversations simulating young LGBTQ people in need of help. 

In the near future, we will likely see a big increase in AI training for various industries. If something were to go wrong, then real life is not put at risk, and specific situations could be activated to give trainees experience in all areas.

Faster diagnoses of diseases

By continuously monitoring your health data, AI systems can detect potential risks or early signs of disease. This allows healthcare providers to intervene earlier, preventing or managing issues before they become serious.

Imaging Equipment to Brain Imagine to Image Segmentation to Feature Extraction to Image Identification with AI Techniques to Alzheimer Disease Detection.


AI will also get better at analyzing genetic data. Currently, it can identify potential genetic predispositions or markers for certain diseases by examining your DNA and comparing it to extensive genetic databases. 

With deep learning and machine learning, artificial intelligence can continuously learn and improve its diagnostic capabilities. As it encounters more cases and receives feedback from healthcare professionals, it can refine its algorithms and become even more accurate and reliable.

However, we predict that as this technology becomes more implemented in healthcare, it will be met with uncertainty from patients. 

As of today, 60% of Americans would feel uncomfortable if their healthcare provider relied on AI. Thus, it may take a bit of time to win over their trust and prove this technology will do nothing but increase their chances of survival.

Natural language processing (NLP) advances

NLP and other large language models will make computers understand and respond to human language more naturally. It will enable us to communicate with devices using everyday language, making interactions feel authentic.

Language barriers will be a thing of the past as NLP advancements make language translation more accurate and efficient. Real-time conversations with people from different countries will become possible without knowing each other’s language.

NLP will also impact customer experience. Chatbots and virtual assistants will become more conversational and helpful, understanding queries and providing accurate information. 

This technology will grow to new heights we probably can’t even imagine, with the chatbot industry estimated to reach $454.8 million by 2027.

There are a couple of areas where we predict NLP will affect in the coming years.

Conversational AI improves

In the future, conversational AI will become more advanced and realistic. It will be able to understand and respond to your questions, commands, and even emotions more accurately. For this reason, conversations with AI will feel more natural, like talking to a real person.

Conversational AI will find its way into different areas of your life. For instance, virtual assistants on your smartphone or smart home devices will become even smarter and more helpful. They’ll assist you with scheduling appointments, setting reminders, answering questions, and providing recommendations.

Even though it is not designed as such, OpenAI’s ChatGPT can be used as conversational AI and has already impacted a lot of industries in the short time it’s been here. Only time will tell how it will continue to influence our world.

Furthermore, conversational AI can enhance education and entertainment experiences. Virtual characters and interactive storytelling will become more immersive and engaging. You can talk to characters in games, explore interactive narratives, and even have AI companions that adapt to your preferences and choices.

Conversational AI: Final Phase of Information RevolutionDirectories: Organized by a Human, Broad subject categories organized by hierarchy. Select and read.Search Engines: Information retrieval over billions of websites and pages. Algorithms personalize the searching experience and rank results based on the search criteria. Free text search.Conversational AI: Advanced natural language understanding using machine learning and computational linguistics. Knows user history and conversation state based on previous interactions. Knowledge summarization and task completion. Natural language conversations.


Rise in virtual assistants

NLP will make virtual assistants multilingual. They’ll be able to understand and speak different languages, breaking down communication barriers. You can interact with them in your preferred language, making it super convenient and inclusive.

Because of this, more companies and startups will use virtual assistants to handle customer inquiries, provide product recommendations, and assist with online purchases. 

Virtual assistants will offer personalized support, helping customers find the right products or services based on their preferences and needs. They can also handle routine tasks like order tracking, returns, and refunds.

AI is used to grow finances

When it comes to investments, AI will analyze market trends, assess risks, and recommend investment opportunities tailored to your goals. If you are interested in making money with AI, read our guide.

AI will also provide personalized financial advice, considering your unique financial situation and where you want to be in the future. This will enable you to make informed investment decisions without needing expert knowledge.

The growing positive impacts of AI in financial services.1. Informed Credit Decisions2. Fraud and Risk Prevention3. Personalised Banking4. Process Automation


Automating your savings will also become easier thanks to AI. It will analyze your income and expenses, identifying opportunities to save and invest. You can set up automated transfers or investment contributions to make saving effortless. 

We predict these will be the two areas to keep a close eye on.

Affiliate marketing builds commission

AI-powered systems will analyze interests, skills, and market trends to identify the most lucrative affiliate programs and products to promote. 

It will provide personalized recommendations, helping business owners make informed decisions and maximize earning potential in affiliate marketing.

With AI, valuable insights are received regarding consumer behavior and preferences. It will analyze vast amounts of data to identify target audiences, understand their needs, and recommend the most effective marketing strategies.

AI will also help optimize content and marketing campaigns. It can analyze the performance of promotional materials, such as blog posts, videos, or social media ads.

Accurate predictions in cryptocurrency

With AI, you’ll be able to make smarter investment decisions. AI-powered algorithms will generate recommendations based on market analysis. 

These recommendations will help you identify potential investment opportunities, determine the best time to buy or sell cryptocurrencies and manage your portfolio more effectively.

Moreover, AI will adapt and learn from market changes in real time. It will continuously update its models and learning algorithms to reflect the latest trends and developments. This means you’ll have access to up-to-date information and insights, giving you a competitive edge in the cryptocurrency market.

Generative AI is harder to spot

Unless an expensive, state-of-the-art generative AI tool is used, it is relatively easy to spot when an image is made with AI. Either fingers are missing, or the lighting is off; once you know what to look for, it can be obvious.

AI generated hands. They have too many fingers.


However, as time passes, generative AI like DALL-E will only get better and bring exciting possibilities with generating images, stories, and music that will be almost identical to the real thing. This technology will fuel personal creativity and transform industries like design, entertainment, and marketing. 

Generative AI will also have a significant impact on education and research. It can generate simulations and models to aid students and researchers in understanding complex concepts. It’ll open up new possibilities for learning and exploration.

In the future of generative AI, diffusion techniques will continue to evolve. They will become more efficient and powerful, allowing AI models to learn from even larger and more complex datasets. This will result in more realistic and diverse content.

Here are more instances where we predict generative AI will flourish in the future.

AI-generated clothing models

AI-generated clothing models offer several advantages over real models. They can be easily manipulated and adjusted to fit various garments, showcasing the versatility of different clothing designs. 

As generative AI technology improves, AI-generated clothing models will become increasingly realistic and indistinguishable from real humans. They will have lifelike features, expressions, and movements, making them compelling alternatives for showcasing fashion collections in digital and virtual environments.

AI generated clothing models of various genders and skin tones.


However, this innovation is met with a copious amount of backlash. For example, Levi’s generated a person of color to model their clothes. They intended to encourage inclusivity, but people argued that they were doing a disservice to the cause by withholding the job from a real person.

Video generation from text-prompts

As generative AI technology evolves, the quality and realism of the generated videos will improve. 

AI systems will be able to understand and incorporate more complex text prompts, resulting in more nuanced and detailed videos. The visuals, characters, and environments will become increasingly lifelike and indistinguishable from videos created by human creators.

More of this technology will be used to create animated content, visualize concepts, generate training videos, and even produce personalized video experiences. The flexibility and versatility of this type of artificial intelligence will enable a wide array of video production possibilities.

Generative AI in video games

Firstly, generative AI will continue to play a significant role in procedural content generation. Game developers will increasingly leverage algorithms to create vast and immersive game worlds that offer unique experiences to players.

Procedural generation allows different terrain, levels, and environments, ensuring that no two gameplay sessions are identical. This enhances replayability and provides players with fresh and engaging content over extended periods. 

‘No Man’s Sky,’ developed by Hello Games, was a space exploration game released in 2016 that used generative AI to create a whopping 18 quintillion planets with various wildlife, resources, and terrain.

No Man's Sky that used generative AI to produce plants with varying terrain and creatures.


Another area where generative AI will have a significant impact is in game design and development processes. AI-powered tools will aid game designers in generating ideas, creating concept art, and prototyping game mechanics.

AI voices will actually sound human

We already have AI voice generators that sound pretty human, but it’s still not close enough to fool the average person. However, as the speech database grows, AI models will get better at learning specific accents, tones, and pronunciations.

Virtual companions and chatbots will speak in a way that feels like talking to a real person. It could even come to a point where the level of realism is so high you won’t be able to tell the difference between an AI voice and a human voice. 

Furthermore, AI voice customization will be more advanced. Allowing you to choose different accents and languages and adjust factors like pitch and speed. WellSaid Labs is an AI voice generator that has made big strides already in this area.

From audiobooks to voiceovers for videos, from virtual reality experiences to voice navigation systems, AI will bring a new level of immersion and authenticity to these mediums. Before we know it, they could start featuring in mainstream advertisements and cartoons.

Not only that, but AI voices could also have a positive impact on those with speech impairments by providing them with personalized voices that closely match their own, allowing them to communicate more effectively.

AI is embraced – not feared

A future filled with AI is scary because it is the unknown and, quite frankly, somewhere where no man has ever been before. However, a profound shift awaits us if we embrace this technology, as long as we recognize its immense potential in the ways it can enrich our lives.

Five years ago, it would’ve been difficult to predict how artificial intelligence would be so profound in our industries, from healthcare to engineering to video games. But what we do know now is that AI moves incredibly fast and has a very real likelihood of displacing jobs and altering our supply chain. However, it also creates many new jobs in return.

AI Job Postings by StateCalifornia: 17.9%Texas: 8.4%New York: 5.5%Massachusetts: 4.3%Virginia: 4.3%Florida: 4.2%Illinois: 4.0%Washington: 3.9% Georgia: 3.3%Michigan: 3.2%


How can something so ‘evil’ diagnose diseases at a faster rate than us, talk to us when we are lonely, and allow us to relax while they do our monotonous tasks?

It was natural for us to initially be scared of AI because we felt it might surpass us, but in recent years it has been realized that it is intended to grow with us and give us the opportunity to progress even further as a species.

What do you think will happen in the future of AI? If you want to learn more about this ever-evolving industry, check out our Top Apps blog.