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Artificial Intelligence Investing
AI Market 2023 Year-End Review
Jan. 02, 2024 01:30PM PST
AI burst into the mainstream in 2023 as platforms like OpenAI's ChatGPT gained widespread popularity. What other trends impacted this fast-moving sector last year?
cono0430 / Shutterstock
Artificial intelligence (AI) has transformed the way people work in recent years, allowing machines to learn from data and perform tasks that previously required human intelligence.
2023 was a banner year for AI, with significant advances in the development of sophisticated language processing systems, generative AI models and edge computing solutions. However, the 12 month period also brought concerns around AI's moral, legal and social implications, leading to important conversations about responsible usage.
What trends moved the AI market last year? Here the Investing News Network (INN) looks at key events, including the rise of generative AI, the rapid sophistication of natural language processing and discussions about AI ethics.
OpenAI's ChatGPT makes generative AI mainstream
While some companies were previously employing AI solutions, these tools took off in earnest in 2023 as more and more industries began incorporating generative AI into their business operations. In correspondence with INN, Naseem Husain, senior vice president and ETF strategist at Horizons ETFs, shared his thoughts.
“The key trend last year was the rise of generative AI, and 2023 will go down as one of the most exciting years for AI yet! With the launch of ChatGPT late in 2022, the true scale of its disruptive potential was more realized across the world in 2023,” he said. “Its success has sparked a wave of generative and chat AI models, from Midjourney to Grok.”
The rapid adoption of AI can largely be attributed to the benefits organizations have experienced from using generative AI models, which can create original output using machine-learning algorithms. These models have allowed businesses to automate various processes, improve decision making and gain deeper insights into their data.
AI also became more accessible and contextual in 2023. Within healthcare, AI is increasingly being used to improve patient care and diagnosis and to develop new drugs. Meanwhile, AI-enabled cybersecurity can help financial institutions detect fraud and offer personalized financial advice. According to a December 2023 survey conducted by the Data Foundation in collaboration with Deloitte, over half of the federal chief data officers polled were already using some form of AI technology, and 95 percent were planning to implement AI solutions within the next year.
Edge computing, which involves processing and analyzing data at the source instead of at a data center, has played a vital role in letting more organizations adopt and implement AI solutions by providing more scalable, efficient and cost-effective ways to deploy AI systems. In August, Meta Platforms (NASDAQ:META) and Qualcomm (NASDAQ:QCOM) partnered to integrate the LLaMA 2 AI model directly into edge devices, reducing latency and dependency on the cloud.
Just a month later, Australia's BrainChip Holdings (ASX:BRN,OTCQX:BCHPY) and VVDN Technologies developed the Edge Box, a hardware platform that can process data and perform computations using neuromorphic technology, which is digital architecture inspired by the action potential of real-life neurons.
Natural language processing takes big strides
In 2023, natural language processing technology continued to evolve at a rapid pace, with many leading tech companies driving innovation through their investments in AI startups and their own research efforts.
According to CBInsights' State of AI Q3’23 report, the average deal size for AI companies increased in 2023 by over a third compared to 2022. 2023 also saw the emergence of new AI unicorns, two of which were generative AI companies that develop large language models: A121 and Imbue topped valuations of US$1 billion in 2023.
Advances in natural language processing technology can largely be attributed to the powerful combination of graphics processing units (GPUs) and machine-learning algorithms, which have been used to build sophisticated language processing systems that can understand and interact with human language in a more “natural” way.
NVIDIA (NASDAQ:NVDA) has been at the forefront of AI innovation, providing powerful GPU solutions that enable researchers and developers to train and deploy language processing models. In May, the company released its DGX GH200 AI Supercomputer, which is powered by its Grace Hopper Superchips and NVLink Switch System.
The DGX GH200 has an impressive amount of memory, 500 times more than NVIDIA’s previous supercomputer, which it released in 2020. This capacity will continue to help researchers develop and enhance various AI applications, and will make the computer much more efficient, accurate and effective at real-time language processing.
At the same time, the China-US chip war has created new challenges and uncertainties for AI companies and investors.
“In 2023, the Biden administration has increased restrictions on semiconductor sales, further upping the ante between the US and China on chips,” Husain said. “This approach could mean that the early lead on AI development might remain firmly with Silicon Valley. However, just like the space race of the 20th century, it could ultimately spur advancements by both sides that could catalyze the broader AI space and opportunity.”
AI ethics conversations increase
Unsurprisingly, 2023 also saw an uptick in discourse around responsible AI, with stakeholders from various sectors engaging in conversations about the ethical, legal and social implications of this rapidly evolving technology.
Husain pointed to the Hollywood writers’ strike as a major development that reflects the growing tension between the pursuit of efficiency through AI and society’s desire to protect the rights and interests of individuals.
“The Hollywood writers’ strike … ultimately resulted in concessions that limit the use of AI in the industry,” he explained to INN. “Especially at a time when we’re seeing businesses look to integrate AI to achieve operational efficiencies, it’s interesting to see society begin to create rules around its use.”
Ethical conversations about the development and use of AI can be split into two camps. On one side, there are generative AI accelerationists, who advocate for rapid innovation and deployment of AI systems even if it means potentially disregarding ethical considerations such as bias, transparency and privacy. On the other side are the generative AI decelerationists, who argue for more caution and increased AI regulation in order to prevent potential harm to society.
In response to these concerns, governments and regulatory bodies around the world have increased their scrutiny of AI technology and how it is applied. In October, the Biden administration issued an executive order for the responsible development of AI, the first of its kind in history. The year also brought the first leader-level summits dedicated specifically to addressing AI safety risks. The Responsible AI Leadership Summit was held in April, and the AI Governance Summit, hosted by the World Economic Forum, took place in November.
Barely a month after the November summit, the EU passed the Artificial Intelligence Act, a comprehensive framework for the development and use of AI in the EU. The act covers a wide range of applications and establishes rules for transparency, accountability and risk management; it intent is to ensure that AI is developed in a way that is safe and ethical, while respecting fundamental human rights such as privacy.
Investor takeaway
2023 was a pivotal year that brought AI to the forefront, with advances in machine learning and natural language processing technologies taking the spotlight. The increased adoption of AI models and edge computing solutions has enabled businesses to automate processes and improve decision making, among other positives.
However, with the benefits of AI come concerns around its ethical, legal and social implications. Discussions about responsible AI and decisions supporting increased regulation of the sector have begun and look set to continue.
Don’t forget to follow us @INN_Technology for real-time news updates!
Securities Disclosure: I, Meagen Seatter, hold no direct investment interest in any company mentioned in this article.
Editorial Disclosure: The Investing News Network does not guarantee the accuracy or thoroughness of the information reported in the interviews it conducts. The opinions expressed in these interviews do not reflect the opinions of the Investing News Network and do not constitute investment advice. All readers are encouraged to perform their own due diligence.
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mseatter@investingnews.com
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Meagen moved to Vancouver in 2019 after splitting her time between Australia and Southeast Asia for three years. She worked simultaneously as a freelancer and childcare provider before landing her role as an Investment Market Content Specialist at the Investing News Network.
Meagen has studied marketing, developmental and cognitive psychology and anthropology, and honed her craft of writing at Langara College. She is currently pursuing a degree in psychology and linguistics. Meagen loves writing about the life science, cannabis, tech and psychedelics markets. In her free time, she enjoys gardening, cooking, traveling, doing anything outdoors and reading.
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Meagen moved to Vancouver in 2019 after splitting her time between Australia and Southeast Asia for three years. She worked simultaneously as a freelancer and childcare provider before landing her role as an Investment Market Content Specialist at the Investing News Network.
Meagen has studied marketing, developmental and cognitive psychology and anthropology, and honed her craft of writing at Langara College. She is currently pursuing a degree in psychology and linguistics. Meagen loves writing about the life science, cannabis, tech and psychedelics markets. In her free time, she enjoys gardening, cooking, traveling, doing anything outdoors and reading.
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