What Comes After AI: Is Post-AI Technology Really Possible?
Famous Greek philosopher Heraclitus was on to something when he stated that the only constant in life is change some 2,500 years ago. These words of wisdom still remain varied. Human existence is characterized by change and every era brings something new with it. In the field of technology, artificial intelligence was and continues to be the buzzword. However, undeniably, the curiosity around it has waned now that it has become such an inherent part of our lives. So, the next obvious question is: What comes after AI? This blog post takes a deeper look at this question by charting out some of the technology trends that could emerge in the near future.
What Technologies are Expected to Emerge After the Era of AI?
If one looks past the domain of AI and focuses on future tech, certain emerging technologies stand out. Many, however, are still in their infancy, nothing but a theoretical possibility. Nonetheless, emerging technological trends and the latest developments in the tech industry clearly hint that many of these possibilities might soon be realized. So, based on how things stand at present, here are five technologies that can define the post-AI era:
1. Quantum Computing
Quantum computing, quickly gaining currency among tech professionals, offers data processing at a speed that was unimaginable before. It is a multidisciplinary field that combines math, physics, and computer science, augmenting them with quantum mechanics to enhance computation beyond the classical model. According to Marketsandmarkets, the quantum computing market is predicted to reach $5.3 billion by 2030.
2. New Biotechnology and Precision Medicine
Innovation in health care, fueled by emerging technologies, justifiably holds the promise of groundbreaking approaches to treatment and diagnostics. Just as CRISPR-cas9 has shown the possibility of eradicating certain diseases, the growing importance of precision medicine is slowly gaining currency in biotechnology. With the advances in this field and big-data processing technology, precision medicine will aim to focus on tailor-made medicine and treatment for individuals.
3. Artificial General Intelligence
Artificial General Intelligence (AGI) represents a landmark in technological innovation. Being a milestone in artificial intelligence, AGI strives to replicate human cognitive abilities. It undoubtedly stands at the forefront of emerging technology trends, with the potential to become the new big thing when it comes to considering what comes after AI.
4. Neuromorphic Computing
Last in our queue is neuromorphic computing. A shining example of innovation and emerging technology, neuromorphic computing follows the mechanism and functioning of the human brain and nervous system. This immensely powerful technology is expected to leave a mark on the future tech horizon, impacting the development of semiconductors, accelerators, and deep learning applications.
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How Can Professionals Prepare for the Upcoming Trends in Technology?
Anticipation only works if you prepare yourself for what comes next. To be prepared to embrace change, there are certain proactive things you can do as well. Here are a few things to help prepare yourself for what comes after AI:
1. Join a Professional Organization
Firstly, aligning with professional organizations offers insights into technology trends. Moreover, these platforms provide a gateway to innovation and emerging technologies, which are crucial for inquisitive minds who are curious to know more about what comes after AI.
2. Take Guidance From Mentors
Mentorship serves as a conduit for knowledge and experience in technology trends. Furthermore, mentors can illuminate the path through the complexities of artificial intelligence and keep an eye on what comes after AI.
3. Participate in Industry Conferences
Industry conferences act as crucibles for innovation, where emerging technologies take center stage. Additionally, these platforms would help professionals better gauge the current condition of the field. This, in turn, would help to think about new innovations in that field more clearly.
4. Consider Learning as a Way of Life
“If you are not willing to learn, no one can help you. If you are determined to learn, no one can stop you”. That is a good motto to abide by. If you want to be at the front lines of future tech and technological development in the post-AI era, commit yourself to continuous learning. It is the best way to survive in a world where everything changes at an alarming rate.
5. Stay Updated Through Journals, Books, and Social Media
Keeping abreast of the latest technology trends through diverse mediums sharpens one’s acumen in artificial intelligence and other tech innovations. Moreover, it lays the groundwork for understanding what comes after AI.
6. Avoid Misinformation
Remember the scandal of Theranos? The false promises it made and the huge funds it acquired through data fudging? Think of it as a cautionary tale and follow the adage that if something seems too good to be true, it probably is. Thus, critical evaluation of information is paramount, given the rapid evolution of technology trends. Moreover, in a world rife with misinformation, it is even more important to be on guard against scams and fake news.
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What Industries are Likely to be Impacted by the Next Big Technology Innovations?
From business to manufacturing, AI has reshaped various industries today. Similarly, it is safe to assume that the next phase of innovations will also cause major changes in a number of fields. Below are some of them:
1. Finance and Big Pharmaceuticals
With unprecedented precision and data-processing prowess, quantum computing is set to enhance data security in finance. Furthermore, by accelerating drug discovery, it would also play a significant role in the big pharma industry.
2. Healthcare and Biotechnology
The advent of precision medicine, coupled with the power of big-data analytics, is set to transform healthcare with customized treatments specific to individual genetic profiles. Hence, this marks a significant shift in healthcare and biotechnology.
3. Robotics and Automotive Industry
Neuromorphic computing, a fast-growing field with a compound growth rate of 70.28% between 2022 and 2028, will elevate robotics and automotive industries. Robots and autonomous vehicles will process information more effectively.
4. Education, Retail, and Manufacturing
Finally, AGI promises personalized retail and education experiences. It also improves manufacturing through predictive maintenance. Consequently, AGI encapsulates the essence of what comes after AI.
What Skills Will be in Demand in the Rapidly Evolving Tech Landscape?
Here are four skills that will be in high demand in the fast-changing domain of technology:
1. Data Science and Analytics
To begin with, as industries across the spectrum would increasingly depend more on data-oriented insights and decision-making, professionals skilled in data science and analytics would be in high demand.
2. AI/ML Competencies
Sure, AI is not as novel to us as it once was. However, just like everything else, AI is also developing at lightning speed, offering immense possibilities for innovation and development. Furthermore, as artificial intelligence evolves, professionals need to adapt swiftly. Therefore, AI and Machine Learning (ML) skills will continue to be in high demand.
3. Cloud Computing Know-How
Businesses are moving to the cloud, making this skill set valuable. Therefore, understanding cloud infrastructures becomes critical. Given this scenario, cloud computing know-how will be essential for future tech professionals.
4. Cybersecurity Expertise
As digital dangers continue to escalate with sophisticated cyberattacks, ensuring the security of data becomes crucial. Therefore, it is not difficult to understand that expertise in cybersecurity would be one of the most cherished skills in the arsenal of a future tech professional.
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In conclusion, even though new technologies are already on the horizon, it doesn’t imply that AI is losing significance. Rather, assuming that would be a terrible oversight for any future professionals. Today, AI is omnipresent, and market stats exhibit its humongous growth, with predictions suggesting that the AI market will move past $ 1.8 trillion by 2030. Moreover, it is also crucial to remember that what comes after AI will be based on the achievements made possible by the advent and implementation of AI. Thus, if you aspire to become a business leader adept at using technologies and making informed predictions about future tech trends, consider joining Emeritus’ AI and ML courses and boost your career.
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