AI Adoption Reaches 15-20% as Entry-Level Workers Face Growing Job Market Pressures

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Goldman Sachs reveals AI adoption has reached 15-20% across developed economies, with entry-level workers bearing the brunt of labor market disruption. Call center employment has plunged 39% below trend in the U.S., while software publishing, management consulting and advertising services show similar declines across major economies.

AI Adoption Accelerates Across Developed Economies

AI adoption has reached 15% to 20% across major developed markets, according to new research from Goldman Sachs

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. The investment bank combined 11 surveys measuring AI adoption rates and found France, the U.S., the Netherlands and the U.K. leading implementation, while Italy, Japan and New Zealand lag behind

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. Major emerging markets show adoption rates between 10% and 15%

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. This widespread AI adoption is now creating measurable impacts on labor markets, particularly in industries where AI-driven automation tools capable of replacing human tasks have become readily available.

Call Centers and Tech Industries Show Sharpest Employment Declines

Industries with greater exposure to AI automation have experienced slower job openings growth since the second half of 2022, with the relationship particularly pronounced in Germany, Australia and the U.S.

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. Call centers stand out dramatically, with employment now 39% below trend in the U.S., 33% below trend in Canada, and 27% below trend in Germany

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. Employment in software publishing, management consulting and advertising services has also fallen sharply below historical trends across developed markets

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. Information and communication services, among the most AI-exposed sectors, have seen employment slow across nearly all major developed economies since 2022, though levels remain near or above long-run trends outside the U.S.

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Entry-Level Workers Bear Disproportionate Impact

Entry-level workers are experiencing the most severe AI jobs alarm, facing significantly stronger headwinds than their senior counterparts. Goldman Sachs analyzed employment growth across more than 800 occupations and discovered that while a 10% occupational exposure to AI was associated with only a 0.1 percentage point drag on annual headcount growth in France, Canada and the U.S., entry-level workers faced impacts ranging from over 0.6 percentage point in Australia to over 0.2 percentage point in the U.S.

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. This pattern aligns with Harvard Business School and INSEAD research showing AI-native startups are approximately 25% smaller than comparable startups, employ roughly 15% fewer entry-level workers and managers, and maintain a share of senior workers about 20% higher

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. These workforce vulnerabilities suggest companies are using AI to handle tasks traditionally assigned to junior employees, potentially making it harder for younger workers to enter certain fields.

Source: PYMNTS

Source: PYMNTS

Labor Economy Workers Face Training Gaps

PYMNTS Intelligence research reveals AI impacting global labor markets extends beyond white-collar roles into lower-seniority roles across warehouses, restaurants, hospitality, logistics and caregiving jobs

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. Among Labor Economy workers earning up to $25 per hour and typically under $50,000 annually, 37% reported their company had introduced new AI or automation tools in the last 12 months

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. However, these lower-income employees receive less training, exhibit less confidence and possess fewer financial buffers to absorb AI displacement

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. The findings indicate AI is squeezing labor markets far beyond Silicon Valley and corporate offices, affecting sectors that constitute a large share of everyday consumer spending.

Employment Dynamics Remain Nuanced Across Sectors

Goldman Sachs concluded that AI-related hiring pressures are clearly visible in employment data globally but remain limited to a relatively narrow set of industries and workers

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. Bank of America analysis found little evidence of broad AI-driven employment collapse across the U.S. economy, with industries having highest AI exposure seeing employment move sideways since ChatGPT launched, while less-exposed industries grew about 2%

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. Bank of America economist Stephen Juneau noted "AI replaces tasks not occupations," suggesting workers may use AI to complete job portions faster without eliminating entire positions

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. Companies like Alphabet expect continued hiring in AI and cloud computing, while CSX Corp. anticipates modest train and engine workforce increases

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. Economist Steve Hanke offers a skeptical view, arguing that replacing workers with AI on massive scale remains difficult because the technology requires significant electricity, water, computing power and physical infrastructure, stating "Businesses will not be firing everybody and replacing them with AI"

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. These employment dynamics suggest companies may be reshaping how workers perform jobs rather than simply eliminating positions, creating demand for specialized skills while reducing needs for certain junior-level tasks in developed economies.

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