Positive AI Economic Futures

The report investigates the economic implications of high-level machine intelligence (HLMI), defined as machines capable of performing every task better and more cheaply than humans. It identifies six positive future scenarios: shared economic prosperity, realigned companies, flexible labour markets, human-centric AI, fulfilling jobs, and civic empowerment. To achieve these, the authors suggest interventions such as progressive taxation, updated antitrust policies, human-complementing AI incentives, and universal basic income. The document also analyzes the psychological impact of unemployment, noting that work provides non-economic benefits like purpose and structure, and argues that GDP is an insufficient metric for measuring well-being in an automated future.

• Expert predictions suggest a significant probability that machines will eventually outperform humans across all tasks. A 2017 survey of 352 AI experts indicated a 50% chance of high-level machine intelligence (HLMI) developing within 45 years.
• The report argues that the current tax structure incentivizes automation over human labor, as investments in capital often enjoy tax advantages while labor is treated as a tax burden.
• Unemployment causes a significant drop in life satisfaction that cannot be explained by loss of income alone, as work provides essential psychological benefits such as a sense of purpose and time structure.
• To ensure shared prosperity, experts suggest global policy interventions, including a 15% minimum tax rate on multinational enterprises and the potential for individuals to purchase insurance against automation.
• A 'human-centric' AI vision proposes developing technologies that complement rather than substitute for human workers, focusing on collaborative performance and incremental productivity gains.
• The report suggests that GDP is an inadequate measure of success in a digital economy because it fails to capture the value of free goods and intangible investments.
• To prevent the concentration of power in 'superstar' technology companies, the report suggests updating antitrust policies and exploring common ownership structures where profits are shared with employees.

APA

World Economic Forum (2021). Positive AI Economic Futures. https://www3.weforum.org/docs/WEF_Positive_AI_Economic_Futures_2021.pdf

Chicago

World Economic Forum. Positive AI Economic Futures. 2021. https://www3.weforum.org/docs/WEF_Positive_AI_Economic_Futures_2021.pdf.

Wikipedia

{{cite report |author=World Economic Forum |title=Positive AI Economic Futures |date=November 2021 |url=https://www3.weforum.org/docs/WEF_Positive_AI_Economic_Futures_2021.pdf |access-date=23 October 2026 |via=Climate Insights Directory}}

BibTeX

@techreport{worldeconomicforum2021positive, author = {{World Economic Forum}}, title = {{Positive AI Economic Futures}}, institution = {World Economic Forum}, year = {2021}, month = nov, url = {https://www3.weforum.org/docs/WEF_Positive_AI_Economic_Futures_2021.pdf}, urldate = {2026-10-23}, note = {Indexed by Climate Insights Directory} }