The latest turn in the dance of millions that has been accompanying the process of technological innovation with increasing intensity for four decades can become a qualitative leap: the adoption of programs and tools linked to the artificial intelligence (AI). According to data from OECD AI Observatoryduring 2022, US$ 127.5 billion were invested, of which more than half (55%) corresponds to firms from the United States and China. This figure represents an increase of 27% with respect to the previous year and it is expected that during the next three years the rate of increase will continue at a sustained pace: 26% per year in dollars.
The recipients of this rain of money are risk funds that invest in projects linked to new technologies of medium maturity and that often require the participation of several companies on a global scale.
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The last emergent of this tendency was the irruption of the ChatGPT (generative pre-trained transformer) that reached the record of 100 million registered users in only 60 days (the first million took only two days). The innovation uses an algorithm, trained on 300 billion words and 570 GB (Gigabytes) of data records. In this way, it allows you to generate responses in a chat (without including links or other formats that are more difficult to review), return information searches using voice recording, and an endless number of applications with a strong impact in daily life.. “Artificial intelligence is not a novelty, but With the advent of ChatGPT, it became within the reach of any user and the revolution that had been brewing was more visible.”, explains the consultant Enrique Carrierwhose newsletter on information technology, media and connectivity is one of the most read in the local market.
The program was developed by Open AIa company that has among its star partners Microsoft, that already announced that the initial investment there for US$1,000 million will multiply it by 10 in the coming years. It’s not the only one: Alphabet (Google) and the Chinese Alibaba (sale) and Baidu (seeker) continue on that path. Google launched something similar to GPT, the Bard; Baidu will do the same next month with Ernie Bot, for example. But for the company founded by Bill Gates, success tastes like revenge because it had lost the search engine race against what is still the market standard: Google. Now it announced that its Bing search engine will have a new version that will use the AI of ChatGPT, enhancing its use.
By 2023, AI trends are developing at an unusual rate: there is a new version of the GPT: the GPT-4, which, they say, will be 500 times more powerful and will be focused on the development of natural language models and the generation of videos. “In reality, the only determining factor for these advances is the enormous data processing capacity that these new programs are requiring and that are making their own development almost ten times more expensive.Carrier clarifies. It is verified in the investments that the big players in this market (Google, Amazon, Microsoft) have to make in infrastructure and from there they venture into the market of renting idle capacity.
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Innovations always bring a transition period in which there are still factors that are not clear and the trial-error process does not finish yielding the definitive results. Unlike other massive irruptions in the forms of production, this technological wave affects more qualified jobs. There is still no clear estimate, but the fact that the specter of the destruction of jobs due to a paradigm shift that increases the productivity of those who remain working, flies over offices, call centers, agencies and newsrooms, instead of factories. In the OECD statistics, the four sectors that are deriving the most resources for AI developments are the automotive sector (and other branches of mobility), health services, linked to accounting and business, and the media (for altering the configuration of advertising). online, for example).
The other sector in which these advances pose a colossal challenge is education, both secondary and university. A segment that, although it is not considered an “industry”, is made up of professionals trained with another “technology” and whose massive diffusion will make it available to students long before teachers and even more so, curricular structuress, validate it as an instrument that enhances learning capacity.
threat or challenge. In a leading report by the international consultancy McKinsey on the evolution of AI in the last decade, highlights that since 2017 the number of companies that in their global surveys affirm that they use it as the basis of their businesses in some of their areas has doubled: it went from 20% to oscillate between 50% and 60% depending on the case. The function in which it was most useful was the optimization of operational services and then the creation of new products based on the possibilities offered by AI. But there are other applications that broaden the leverage of investment in the field: marketing functions (customer segmentation, customer analysis or customer acquisition for the commercial base).
A revolution that, unlike the previous ones, implodes the market from within.
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