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The Wharton-GBK report "La ventaja adaptativa" reveals the AI return-on-investment gap in business

Original title, in Spanish: “El informe de Wharton–GBK «La ventaja adaptativa: quién está ganando con la IA y cómo» revela la brecha en el retorno de la inversión en IA”

Publication
Unite.AI (United States)
Author
Unsigned
Published on
14 October 2026 · read in the page metadata

Summary

The fourth annual report from Wharton Human-AI Research and GBK Collective, published on 13 October 2026, measures the gap between AI adoption and return on investment in large US companies. Among 1,416 employees surveyed (1,007 managers/executives and 409 entry-level/mid-level employees at companies with 1,000+ employees and more than $50M in revenue), 80% of managers report positive returns, but only 28% rate them as very positive. Organisations that measure growth (and not only efficiency), appoint a dedicated chief AI officer or standardise on a single platform achieve markedly better results. 67% of departments use AI agents, but only 28% fully integrate AI into core processes. 37% of managers report AI-related job cuts and 33% report a slowdown in hiring.

Summary based on the full text of the article.

Read the article on Unite.AI →

Figures cited

  • 80 %

    Share of managers and executives reporting positive returns from their department's AI investments

    Managers and senior managers at US private companies with 1,000+ employees, July 2026

    « El 80 % de los gerentes y los encuestados de cargos superiores afirma que las inversiones de su departamento en IA generan retornos positivos, pero solo el 28 % los califica de muy positivos. »

    Source: Wharton Human-AI Research / GBK Collective, « La ventaja adaptativa : quién está ganando con la IA y cómo »

  • 28 %

    Share of respondents rating AI returns as very positive

    Managers and senior managers, Wharton-GBK study sample, July 2026

    « pero solo el 28 % los califica de muy positivos »

    Source: Wharton Human-AI Research / GBK Collective

  • 35 %

    Very positive returns among departments that measure growth (vs efficiency)

    Departments tracking at least one growth metric

    « Entre quienes hacen seguimiento de al menos una medida de crecimiento, el 35 % informa de retornos de la IA muy positivos, frente al 13 % de quienes miden únicamente la eficiencia. »

    Source: Wharton Human-AI Research / GBK Collective

  • 13 %

    Very positive returns among departments measuring efficiency only

    Departments tracking efficiency metrics only

    « frente al 13 % de quienes miden únicamente la eficiencia »

    Source: Wharton Human-AI Research / GBK Collective

  • 83 %

    Share of managers expecting AI to bring major industry transformation within 2 to 5 years

    Managers and senior managers

    « el 83 % de los gerentes y los cargos superiores espera que la IA transforme fundamentalmente su sector o lo afecte de manera sustancial en un plazo de entre dos y cinco años »

    Source: Wharton Human-AI Research / GBK Collective

  • 67 %

    Share of departments using AI agents in some form

    Departments of companies in the sample

    « el 67 % de los departamentos afirma utilizar agentes de IA de alguna forma »

    Source: Wharton Human-AI Research / GBK Collective

  • 28 %

    Share of respondents describing AI as fully integrated into core processes

    Study sample

    « solo el 28 % describe la IA como plenamente integrada en sus procesos empresariales centrales »

    Source: Wharton Human-AI Research / GBK Collective

  • 17 %

    Share of respondents allowing AI to operate autonomously

    Study sample

    « apenas el 17 % permite que funcione de manera autónoma, con revisión humana posterior o sustituida por supervisión y salvaguardas »

    Source: Wharton Human-AI Research / GBK Collective

  • 67 %

    Very positive ROI among departments meeting all three workflow transformation conditions

    Departments whose workflows have changed significantly, with integrated AI and agents in use

    « Entre los departamentos que cumplen esta definición conjunta, el 67 % informa de un ROI muy positivo. »

    Source: Wharton Human-AI Research / GBK Collective

  • 58 %

    Very positive returns in organisations that have created a dedicated chief AI officer role

    Managers and senior managers at organisations with a dedicated chief AI officer

    « Entre los gerentes y los cargos superiores de esas organizaciones, el 58 % informa de retornos muy positivos »

    Source: Wharton Human-AI Research / GBK Collective

  • 8 %

    Very positive returns in organisations without a dedicated AI role

    Organisations with no AI oversight role and no plan to create one

    « La cifra es del 8 % en las organizaciones donde no existe un cargo de ese tipo ni se prevé crear uno. »

    Source: Wharton Human-AI Research / GBK Collective

  • 50 %

    Very positive returns among organisations standardised on a single approved AI platform

    Organisations with a single standardised AI platform

    « El 50 % de los encuestados cuyas organizaciones se han estandarizado en torno a una única plataforma de IA aprobada informa de retornos muy positivos, frente al 9 % de quienes todavía experimentan sin un enfoque definido. »

    Source: Wharton Human-AI Research / GBK Collective

  • 37 %

    Share of managers reporting AI-related job cuts

    Managers and senior managers

    « El 37 % de los directivos y cargos superiores informa de recortes de personal relacionados con la IA »

    Source: Wharton Human-AI Research / GBK Collective

  • 33 %

    Share of managers reporting an AI-related hiring slowdown or freeze

    Managers and senior managers

    « el 33 % señala una ralentización o congelación de las contrataciones »

    Source: Wharton Human-AI Research / GBK Collective

  • 73 %

    Share of entry-level/mid-level employees reporting a positive effect of AI on their job

    Entry-level and mid-level employees

    « El 73 % de los empleados de nivel inicial e intermedio afirma que la IA ha tenido un efecto positivo en su puesto »

    Source: Wharton Human-AI Research / GBK Collective

  • 1,416 people

    Survey sample size

    Full-time employees of US private companies with 1,000+ employees and more than $50M in revenue, surveyed from 9 to 29 July 2026

    « La investigación encuestó a 1.416 empleados a tiempo completo de empresas del sector privado de Estados Unidos con al menos 1.000 empleados y más de 50 millones de dólares en ingresos. »

    Source: Wharton Human-AI Research / GBK Collective

Classification

Country
United States
Company size
Mid-sized companies, Large companies
Industries
All industries, or industry not specified
Companies
GBK Collective (study author), Wharton Human-AI Research (study author)
Keywords
return on investment, AI agents, workflows, chief AI officer, productivity, employment

Entry written by Marsanne Studio from the cited article, with the help of an AI model (claude-sonnet-5). The rights to the article and its illustrations belong to Unite.AI. Entry translated from French by Claude Sonnet 5.5.