Artificial intelligence, generative AI, ChatGPT and large language models arguably have boosted financial expectations for firms believed to benefit directly from AI. But the analysis is complicated by a general and strong upward move in equity metrics since either 2020 or 2022.
In most cases, this represents a sentiment shift, as the actual revenue impact, in most cases, is premature, except for Nvidia graphics accelerator cards.
Looking at the June 2022 and June 2023 period, and noting but ignoring a general upward movement of equity markets since the fall of 2022, it is reasonable to assume some of the strong upward movement of financial metrics is due to AI interest, as significant changes in P/E or EV/EBITDA are not very common over short periods of time.
Using 2020 metrics as the pre-AI baseline, and looking at mid-year 2023 metrics, it is nevertheless important to note the positive impact of expectations and sentiment on valuations, despite any changes AI interest might have caused.
The S&P 500 index, for example, rose about 80 percent since the start of 2020, with most of the gains happening in 2021, as a result of economic recovery from the Covid pandemic, rather than the AI mania.
Of course, not every industry or firm benefits equally. Looking at metrics for access providers since 2020, one also sees upward multiple movement that perhaps can mostly be explained by the boost in wider market performance.
The larger point is, as one might expect, less benefit to access providers because of AI, compared to the fortunes of firms expected to benefit directly from AI, even if the whole market in general has been robust since 2020 or 2022, for several reasons including the bounce back from Covid impact on economic activity in general.
And granted it is speculative, but we might estimate the market valuations, at least in the short term, have moved mostly because of the general upward advances, but also, for some firms, specifically because of new expected or possible upside from AI deployments.
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