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rss_feedAnthropic News ·01.04.2026 open_in_newОригинал

How Australia Uses Claude: Findings from the Anthropic Economic Index

How Australia Uses Claude: Findings from the Anthropic Economic Index
Figure 1: Top 20 countries by share of global Claude.ai useAustralia accounts for 1.6% of global Claude.ai consumer use at rank 11. Bars show each country’s share of the 1M conversations sampled from Claude.ai in February 2026. Australia highlighted in blue.
Figure 2: Share of Australia’s Claude.ai use by state and territoryNew South Wales accounts for the largest share of Australia's Claude.ai use (37.2%), followed by Victoria (30.8%), Queensland (17.7%), Western Australia (7.6%), South Australia (4.6%), the Australian Capital Territory (1.4%), Tasmania (0.6%), and the Northern Territory (0.1%). Data from February 2026.
Figure 3: Anthropic AI Usage Index (AUI) and relative gross state product (GSP) per capita by state and territory in AustraliaEach state's AUI is shown alongside its gross state product per capita, expressed relative to the Australian average ($101,438); both are indexed so that 1.0 represents parity. States and territories are ordered by AUI. Sources: Anthropic Economic Index, February 2026; ABS Estimated Resident Population, June quarter 2025; ABS Australian National Accounts: State Accounts, 2024–25.
Figure 4: Economic Primitives in Australia and peer countriesThis figure shows the value of various economic primitives in Australia as compared to peer countries. The large blue dot represents Australia. Orange dots correspond to other Anglosphere countries (USA, UK, Canada, New Zealand, Ireland). Grey dots are countries with at least 200 sampled conversations from Claude.ai and with an Anthropic AI Usage Index (AUI) above 1. Small purple dots represent all other countries with at least 200 sampled conversations.
Figure 5: Task concentration among the top 100 O*NET tasks in Australia and peer Anglosphere countriesThis figure shows how concentrated each geography's Claude.ai usage is, measured as the share of classified usage captured by that geography's 100 most-common O*NET tasks. Lower values indicate a more diverse spread of uses. Among Anglosphere countries, New Zealand and Ireland are omitted because fewer than 100 distinct tasks were observed. Source: Anthropic Economic Index, February 2026.
Figure 6: Composition of Australia's top 100 tasks relative to the global top 100, by SOC major groupBars show the difference (in percentage points) between each SOC group's share of Australia's top 100 O*NET tasks and that group's share of the global top 100. Positive values indicate overrepresentation in Australia. Top 100 tasks cover 47% of Australia's classified usage (171 distinct tasks observed) and 52% of global classified usage (3,258 distinct tasks observed). Source: Anthropic Economic Index, February 2026.
Figure 7: Request clusters most over- and underrepresented in Australia relative to the global distribution Bars show the difference (in percentage points) between each cluster's share of Australian Claude.ai conversations and its share of global conversations. Values in parentheses show the Australian and global shares respectively. Source: Anthropic Economic Index, February 2026.