SAN FRANCISCO – In the last several decades, technology has undergone significant evolution. It’s not just computers and smartphones that are now connected to the internet. Everyday items like light fixtures, televisions, large household appliances, vehicles, and even doorbells are becoming part of the online network. Artificial Intelligence, in particular, stands out as potentially the most significant technological breakthrough in our lifetimes.

According to a PwC report, a mere year after the introduction of OpenAI’s ChatGPT, 54% of surveyed companies had already integrated generative AI into various aspects of their business operations. Established companies such as Amazon.com Inc, NVIDIA Corporation, and Meta Platforms Inc. are at the forefront, launching AI products and services that have a far-reaching influence on billions of users worldwide.

For years, both consumers and enterprises have been leveraging artificial intelligence in various ways: interacting with voice assistants like Siri and Alexa, automating repetitive tasks, and employing algorithms to identify patterns and correlations in data. However, it was the emergence of applications capable of generating original text and digital art that truly marked a significant milestone—a new era where AI demonstrates its ability to mimic human creative processes and quickly becomes widely recognized.
Of course, AI has long been a fast-moving field, but these past few years have led the industry through lightning-fast developments. In November 2022, ChatGPT was launched, and just four months later, OpenAI introduced a new and significantly enhanced large language model (LLM) named GPT-4. Additionally, Anthropic’s generative AI, Claude, made remarkable progress by May 2023, now capable of processing 100,000 tokens of text in a minute, equivalent to about 75,000 words—an average novel’s length.
This was a substantial improvement from its initial capacity of roughly 9,000 tokens when it debuted in March 2023. Moreover, Alphabet Inc. has made several advancements with generative AI, including the introduction of a new Large Language Model (LLM) called PaLM 2 in May of last year, which serves to power the Bard chatbot, as well as other Google products, showcasing the company’s commitment to pushing the boundaries of generative AI technology.
Generative AI use in the enterprise will expand beyond just individuals, teams, and departments: There will be AI assistants in corporate boardrooms across the globe, helping companies navigate dynamic markets, increase profits, and gain an advantage over their competitors.
When company execs are debating issues like whether they should ramp up hiring, or which market they should expand to next, there will be an AI assistant in the room that provides analysis and recommendations. Given the stakes, these companies will leverage technology that’s been customized for this purpose and for each business. These AI assistants will take into account a company’s industry, its competitors, business goals, historical industry data, etc., to provide executives with the most precise insights possible.
As such, the influence of generative AI on productivity has the potential to contribute trillions of dollars in value to the global economy. According to McKinsey’s research estimates, the technology could bring about an annual addition of approximately $2.6 trillion to $4.4 trillion. In addition, the firm believes that approximately 75% of the value derived from generative AI use cases is concentrated in four key areas: Customer operations, marketing and sales, software engineering, and R&D.
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