In the next few years, it is very likely that there will be a shift from loose self-regulation to government involvement in AI. In turn, big tech companies are increasingly using AI to address privacy and bias issues created by the technology itself.
NO.1 Arrival of an Augmented Human and AI Hybrid Workforce
While workflow management is the new normal at work, the future of work is more paired with artificial intelligence in an augmented environment. All repetitive work is possible and will be automated.
Whether you’re in HR, administration, marketing, sales, or engineering, with the ever-increasing availability of AI/ML tools, your productivity will also increase. This is also just a regular part of future work.
For example, artificial intelligence/machine learning techniques are widely used in fields of knowledge such as law and medicine to browse the ever-increasing amount of data and find the right information for a specific task. As a result, many white-collar jobs have a lot of room for advancement, and they may create more productive jobs that allow them to do what they are naturally good at.
In every industry, AI-driven smart tools are emerging that help individuals in that industry to be productive. This is often referred to as augmented workforce or human-AI hybrid jobs.
NO.2 AI continues to empower chip design
More and more jobs now require advanced AI to handle. There is an increasing demand for specialized chips that are more energy efficient and computationally faster, and designing chips with powerful AI is critical.
AI has driven the birth of a new generation of design tools. AI can realize continuous learning in iterations and obtain data in the chip design environment, thereby improving production efficiency and cost-effectiveness by leaps and bounds. In a sense, the disruptive wave of AI will create a more level playing field, and companies that use AI for chip design will be symmetrically distributed in the global economy. This brings new development opportunities not only to companies in the semiconductor industry, but also to companies with smaller teams or limited financial resources.
The future AI hardware design is bound to innovate the chip design technology. In 2021, companies investing in data centers have achieved considerable returns and demonstrated excellent technical capabilities. The development of data centers has on the one hand pushed up the demand for dedicated AI chips, and on the other hand, has made AI investments at an unprecedented rate. Speed is growing. This year, GPUs will continue to be the dominant architecture in the data center market, and we expect this growth to continue. Leading companies will choose next-generation AI-aided design systems to massively scale and explore design workflows and automate non-critical decisions. To meet their chip design needs, companies are turning to the cloud to increase design capacity, speed up turnaround time, and optimize high-quality application designs. picture
NO.3 The road of more system companies entering the company to develop self-developed chips
Looking back at 2021, chip design has become a topic of common concern in the technology field. AI is rapidly reshaping the overall blueprint of chip design, and various technology companies have begun to develop their own chips.
Apple’s recently launched self-developed chip M1 Max can integrate multiple powerful computing components and provide the most powerful chip support in the industry. The move of non-traditional semiconductor companies to deploy customized ASIC (application-specific integrated circuit) development has inspired many companies in the industry to carefully evaluate whether self-developed chips really have a competitive advantage in the context of the rapid growth of the market they serve. There are many advantages of self-developed chips, such as maximizing data control, reducing delay between speed, decision-making, and results. Establishing a first-class chip design team is an important way to create and protect intellectual property rights. However, with the rapid expansion of business scenarios, the shortage of talents has become another problem that enterprises need to face.
NO.4 Artificial intelligence in the field of cybersecurity
In January this year, the World Economic Forum released the “2021 Global Risk Landscape Report”, which identified cybersecurity risk as a major risk the world will face in the future.
Hacking and cybercrime will inevitably become a bigger problem as machines take over more and more of our lives, and this is where AI can “make a big splash.”
Artificial intelligence is changing the game in cybersecurity. By analyzing network traffic and identifying malicious applications, intelligent algorithms will play an increasing role in protecting humans from cybersecurity threats. In 2022, the most important applications of artificial intelligence may appear in this field. Artificial intelligence may be able to dramatically speed up responses by analysing threat intelligence from millions of research reports, blogs and news stories, providing instant insights.
NO.5 Artificial Intelligence and the Metaverse
The Metaverse is a virtual world, like the Internet, with an emphasis on enabling immersive experiences, and the topic of the Metaverse has grown even hotter since Mark Zuckerberg renamed Facebook “Meta” (the English prefix for Metaverse).
Artificial intelligence will undoubtedly be the key to the metaverse. AI will help create online environments where people feel at home in the metaverse and nurture their creative impulses. People may soon become accustomed to sharing a metaverse environment with AI creatures, such as playing tennis or a game of chess with AI when they want to relax.
Judging from the above six forms of future AI system development and their respective development trends, the next step of research needs to systematically and comprehensively learn from the human cognitive mechanism, not only the characteristics of the nervous system, but also the cognitive system (including knowledge representation , update, reasoning, etc.), develop more biologically rational, and more flexible, more trustworthy and reliable AI systems.
GIPHY App Key not set. Please check settings