There is no reason to not think of the most “Unrealistic” possibilities when you’re considering the topic of Artificial Intelligence. It’s not so much about what we think is impossible, but rather about pushing those boundaries of what we currently perceive as realistic. The rapid advancements in AI over the past decade have already transformed our world in ways we couldn't have imagined before. AI continues to become more of an integral part of our lives daily, and this innovation train has no brakes.

Think about the elites in the world; Elon Musk, Jeff Bezos, Mark Zuckerberg... Each of them had to think of possibilities that pushed the perceived boundaries of technology. This is my point here, AI extends beyond mere convenience, AI has the potential to reshape entire industries and even address complex global challenges which is the premise for what we’re going to look at in this blog.

As we look ahead, here are some potential expansions in AI to look out for by 2035 that may seem ambitious today:

AI-Enabled Climate Modeling: Climate change is one of the most pressing issues of our time, and AI can play a crucial role in understanding how to mitigate its impact. Algorithms could analyze big bundles of climate data, satellite imagery, and historical patterns to create super-accurate climate models. These models could help scientists and policymakers predict climate trends with greater precision thus leading them to make more informed decisions and develop effective strategies for adaptation and mitigation.

AI-Augmented Social Services: Social service systems, such as welfare, healthcare, and community support, could win big with the adoption of AI advancements. For instance, AI algorithms could analyze individual needs, socioeconomic factors, and public health data that would then be used to improve service delivery and resource allocation. For example, think of chatbots and virtual assistants that provide personalized guidance and support to those seeking social services, AI systems could reduce the burden on caseworkers.

AI-Driven Sustainable Infrastructure: With the increase in demand for sustainable infrastructures, AI can optimize planning, construction, and maintenance processes. AI algorithms could analyze things like geospatial data, energy consumption patterns, and transportation flows to design eco-friendly and energy-efficient cities. A great example of this ideal infrastructure is Barcelona, one of the world's first “Smart cities”. We could even get more ambitious and say that AI-powered systems could take over managing traffic, mitigate congestion, and enhance transportation networks altogether, ideally reducing carbon emissions and improving urban livability as we know it. 

Still too realistic? Let’s get bolder…

AI-Assisted Scientific Discoveries: AI has already demonstrated its potential in accelerating scientific research, and by 2035, it could revolutionize the pace of scientific discoveries altogether. AI algorithms could sift through the vast scientific literature, analyze experimental data, and identify patterns that could easily be overlooked. Ultimately, this could lead to breakthroughs in fields such as drug discovery, materials science, and genomics, which would open new frontiers of knowledge and propel scientific advancements to heights we can’t even comprehend right now. 

AI for Inclusive Accessibility: Inclusive design and accessibility are critical considerations for society just as much as they are for the future of AI. By 2035, AI could make significant advancements in assisting individuals with disabilities. For instance, natural language processing (NLP) and computer vision technologies could enable seamless communication and interaction for people with hearing or visual impairments. AI-powered assistive devices could ultimately enhance mobility and independence. It’s ambitious innovations like this that would build a reality where technology truly empowers and includes everyone. 

AI for Mental Health and Well-being: Mental health is a growing concern worldwide, and AI has the potential to revolutionize mental health care. By 2035, AI algorithms could perform tasks like analyzing behavioural patterns, sentiment analysis, and physiological data that could all provide personalized mental health assessments and interventions. AI-powered chatbots and virtual therapists for example could offer 24/7 support, provide coping strategies, and identify early warning signs.

Personal Finance: When it comes to FinTech, there’s a lot that could happen with the rapid development of AI. Think about things like AI-powered financial advisors who could provide personalized advice and optimize investment portfolios, while fraud detection algorithms could enhance security. Automated budgeting tools would simplify expense tracking and offer insights for better financial management. AI could also improve credit scoring, leading to fairer loan approvals. And lastly, personalized financial education platforms could mitigate the knowledge gap and set people up for financial success.

AI-Powered Cybersecurity: As cyber threats become more complex, AI is poised to step up and beef up our cybersecurity defences by 2035. Imagine AI algorithms keeping a constant watch on network traffic, spotting suspicious patterns that could signal cyber attacks, and swiftly taking action to block them. Machine learning algorithms would be super sleuths, sifting through loads of data to sniff out emerging threats and catch any sneaky anomalies. AI could even develop security features like fingerprint scanners and user behaviour analysis to protect digital systems. 

What’s Next?

By embracing the potential of AI and pushing the boundaries of what we perceive as realistic, anyone can have the opportunity to create an ideal future using technology. Businesses shouldn’t be afraid to let their imaginations run free with this stuff - because the technology to turn a vision into reality could be right around the corner.

With that in mind, here are 3 actionable recommendations for companies to practice over the next 12 years:

1. Nurture an Innovative Culture: Create a work environment that fosters creativity, encourages taking risks, and promotes collaboration. Encourage all employees, regardless of rank, to share their ideas and perspectives. Provide them with the necessary resources and support to explore innovative solutions. Emphasize the value of continuous learning and professional development to keep up with the ever-evolving technologies and market trends.

2. Study your industry’s emerging tech: Stay up-to-date with the latest advancements and closely assess their potential impact on your industry. Invest in R&D to look at how emerging tech like artificial intelligence, blockchain, augmented reality, or even quantum computing could be integrated into your company's operations, products, or services. Encourage the implementation of pilot projects and experimentation to test the feasibility and scalability of these technologies in your business.

3. Forge Strategic Partnerships: Look to collaborate with startups, research institutions, or industry experts, to leverage their expertise and gain fresh insights. Seek out strategic alliances or maybe call them “Joint ventures” that align with your company's goals and complement strengths just as much as weaknesses.

Written By Ben Brown

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ISU Corp is an award-winning software development company, with over 17 years of experience in multiple industries, providing cost-effective custom software development, technology management, and IT outsourcing.

Our unique owners’ mindset reduces development costs and fast-tracks timelines. We help craft the specifications of your project based on your company's needs, to produce the best ROI. Find out why startups, all the way to Fortune 500 companies like General Electric, Heinz, and many others have trusted us with their projects. Contact us here.