What Happened
If you follow the ongoing debate over AI's growing economic impact, you may have seen the graphic below floating around this month.
Why It Matters
It comes from an Anthropic report on the labor market impacts of AI and is meant to compare the current "observed exposure" of occupations to LLMs (in red) to the "theoretical capability" of those same LLMs (in blue) across 22 job categories.
Key Details
- While the current "observed exposure" area is interesting in its own right, it's the blue "theoretical capability" that jumps out.
- At a glance, the graph implies that LLM-based systems could perform at least 80 percent of the individual "job tasks" across a shockingly wide range of human occupations, at least theoretically.
- It looks like Anthropic is predicting that LLMs will eventually be able to do the vast majority of jobs in broad categories ranging from "Arts & Media" and "Office & Admin" to "Legal, Business & Finance," and even "Management." That "theoretical AI coverage" area seems like it's destined to eat a huge swath of the US job market!
- Credit: Anthropic Digging into the basis for those "theoretical capability" numbers, though, provides a much less chilling image of AI's future occupational impacts.
Background Context
If you follow the ongoing debate over AI's growing economic impact, you may have seen the graphic below floating around this month. It comes from an Anthropic report on the labor market impacts of AI and is meant to compare the current "observed exposure" of occupations to LLMs (in red) to the "theoretical capability" of those same LLMs (in blue) across 22 job categories. While the current "observed exposure" area is interesting in its own right, it's the blue "theoretical capability" that jumps out. At a glance, the graph implies that LLM-based systems could perform at least 80 percent of the individual "job tasks" across a shockingly wide range of human occupations, at least theoretically.
What To Watch Next
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Editorial Next Step
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Source: Ars Technica – All content – Original Link
Source: Ars Technica – All content
