As Agentic AI Gains Traction, 86% of Enterprises Anticipate Heightened Risks, Yet Only 2% of Companies Meet Responsible AI Gold Standards
Infosys (NYSE:INFY) released a comprehensive study on Responsible AI (RAI) implementation, revealing significant gaps in enterprise readiness. The research, surveying over 1,500 business executives across six countries, found that while 78% of companies view RAI as a growth driver, only 2% have adequate RAI controls.
Key findings show that 95% of executives reported AI-related incidents in the past two years, with 77% experiencing financial losses and 53% facing reputational damage. The study identified that RAI leaders experienced 39% lower financial losses and 18% lower incident severity compared to others.
The research emphasizes the urgent need for organizations to shift from reactive compliance to proactive strategic implementation of RAI, particularly as 86% of executives believe agentic AI will introduce new risks and compliance challenges.
Infosys (NYSE:INFY) ha pubblicato uno studio approfondito sull'implementazione dell'Intelligenza Artificiale Responsabile (RAI), mettendo in luce notevoli lacune nella preparazione delle aziende. La ricerca, condotta su oltre 1.500 dirigenti aziendali in sei paesi, ha rilevato che sebbene il 78% delle imprese consideri la RAI un fattore di crescita, solo il 2% dispone di controlli RAI adeguati.
I principali risultati mostrano che il 95% dei dirigenti ha segnalato incidenti legati all'IA negli ultimi due anni: il 77% ha subito perdite finanziarie e il 53% ha riportato danni reputazionali. Lo studio evidenzia che i leader nella RAI hanno registrato perdite finanziarie inferiori del 39% e una gravità degli incidenti inferiore del 18% rispetto agli altri.
La ricerca sottolinea l'urgenza per le organizzazioni di passare da una conformità reattiva a un'implementazione RAI strategica e proattiva, soprattutto perché il 86% dei dirigenti ritiene che l'AI agentica introdurrà nuovi rischi e sfide di compliance.
Infosys (NYSE:INFY) publicó un estudio exhaustivo sobre la implementación de la Inteligencia Artificial Responsable (RAI), que revela importantes brechas en la preparación empresarial. La investigación, que encuestó a más de 1.500 directivos en seis países, encontró que, aunque el 78% de las empresas considera la RAI como motor de crecimiento, solo el 2% cuenta con controles RAI adecuados.
Los hallazgos clave muestran que el 95% de los directivos informó incidentes relacionados con la IA en los últimos dos años; el 77% sufrió pérdidas económicas y el 53% sufrió daños reputacionales. El estudio identificó que los líderes en RAI registraron un 39% menos de pérdidas financieras y una gravedad de incidentes un 18% menor en comparación con otros.
La investigación enfatiza la necesidad urgente de que las organizaciones pasen de una conformidad reactiva a una implementación estratégica y proactiva de la RAI, especialmente porque el 86% de los directivos cree que la IA agentiva introducirá nuevos riesgos y desafíos de cumplimiento.
Infosys (NYSE:INFY)가 책임 있는 인공지능(RAI) 도입에 관한 종합 연구를 발표했으며, 기업의 준비 상태에 상당한 격차가 있음을 밝혔다. 6개국의 1,500명 이상의 경영진을 대상으로 한 조사에서 기업의 78%가 RAI를 성장 동력으로 보지만, 실제로는 2%만이 적절한 RAI 통제를 갖추고 있는 것으로 나타났다.
주요 결과에 따르면 지난 2년간 95%의 경영진이 AI 관련 사고를 보고했으며, 그중 77%는 금전적 손실을, 53%는 평판 손상을 겪었다. 연구는 RAI 선도 기업이 다른 기업보다 금전적 손실이 39% 적고 사고의 심각성은 18% 낮았다고 지적했다.
연구는 조직이 반응적 규제 준수에서 벗어나 RAI를 전략적으로 선제 도입할 필요가 있음을 강조하며, 특히 86%의 경영진이 에이전트형 AI가 새로운 위험과 규제 과제를 가져올 것으로 보고 있다고 밝혔다.
Infosys (NYSE:INFY) a publié une étude approfondie sur la mise en œuvre de l'IA responsable (RAI), révélant d'importantes lacunes dans la préparation des entreprises. L'enquête, menée auprès de plus de 1 500 dirigeants dans six pays, a montré que si 78% des entreprises considèrent la RAI comme un moteur de croissance, seulement 2% disposent de contrôles RAI adéquats.
Les principales conclusions indiquent que 95% des dirigeants ont signalé des incidents liés à l'IA au cours des deux dernières années, 77% ayant subi des pertes financières et 53% des dommages réputationnels. L'étude a identifié que les leaders en RAI ont enregistré 39% de pertes financières en moins et une gravité des incidents inférieure de 18% par rapport aux autres.
La recherche souligne l'urgence pour les organisations de passer d'une conformité réactive à une mise en œuvre stratégique et proactive de la RAI, d'autant que 86% des dirigeants estiment que l'IA agentive fera apparaître de nouveaux risques et défis de conformité.
Infosys (NYSE:INFY) hat eine umfassende Studie zur Implementierung von Responsible AI (RAI) veröffentlicht und erhebliche Lücken in der Unternehmensbereitschaft aufgezeigt. Die Untersuchung, bei der über 1.500 Führungskräfte in sechs Ländern befragt wurden, ergab, dass zwar 78% der Unternehmen RAI als Wachstumstreiber sehen, aber nur 2% über angemessene RAI-Kontrollen verfügen.
Zentrale Erkenntnisse zeigen, dass 95% der Führungskräfte in den letzten zwei Jahren AI-bezogene Vorfälle meldeten; 77% erlitten finanzielle Verluste und 53% erlitten Reputationsschäden. Die Studie stellte fest, dass RAI-Vorreiter im Vergleich zu anderen 39% geringere finanzielle Verluste und 18% geringere Vorfallschwere verzeichneten.
Die Forschung betont die Dringlichkeit, dass Organisationen von reaktiver Compliance zu einer proaktiven, strategischen Umsetzung von RAI übergehen müssen, zumal 86% der Führungskräfte der Ansicht sind, dass agentische KI neue Risiken und Compliance-Herausforderungen mit sich bringen wird.
- 78% of senior leaders recognize RAI as a revenue growth driver
- RAI leaders experienced 39% lower financial losses from AI incidents
- 83% believe future AI regulations will boost AI initiatives
- Companies identified as RAI leaders show 18% lower severity from AI incidents
- 95% of executives reported AI-related incidents in past two years
- Only 2% of companies meet full RAI capability standards
- 77% of organizations reported financial losses from AI incidents
- Companies are underinvesting in RAI by 30% on average
- 53% of organizations suffered reputational damage from AI incidents
Insights
Infosys positions itself as a thought leader in responsible AI governance while highlighting alarming enterprise implementation gaps.
Infosys's research reveals a concerning responsible AI readiness gap that positions the company strategically in the growing AI governance market. The study found 95% of enterprises experienced AI-related incidents in the past two years, with 77% reporting financial losses and 53% suffering reputational damage. Most alarming is that only 2% of companies meet Infosys's responsible AI implementation standards.
The research carries significant strategic implications for Infosys. By publishing these findings, the company establishes itself as a thought leader in responsible AI governance—a crucial differentiator as enterprises navigate increasing AI risks. The report effectively creates market demand for Infosys's AI governance consulting services by highlighting the financial and reputational consequences of poor AI implementation.
This market positioning is particularly timely as 86% of executives anticipate heightened risks from agentic AI. Infosys showcases its expertise through its AI3S (Scan, Shield, Steer) framework and recommendations for establishing centralized responsible AI offices—services the company is well-positioned to provide.
For Infosys investors, this research represents a strategic business development initiative rather than just academic research. The findings create urgency around responsible AI adoption while simultaneously positioning Infosys as having the expertise to help enterprises implement these necessary safeguards—potentially driving significant consulting and implementation revenue as AI adoption continues accelerating.
With
BENGALURU,
The report analyzed the effects of risks from poorly implemented AI, such as privacy violations, ethical violations, bias or discrimination, regulatory non-compliance, inaccurate or harmful predictions, among others. It found that
Key findings include:
AI risks are widespread and can be severe
95% of C-suite and director-level executives report AI-related incidents in the past two years.39% characterize the damage experienced from such AI issues as "severe" or "extremely severe."86% of executives aware of agentic AI believe it will introduce new risks and compliance issues.
Responsible AI (RAI) capability is patchy and inefficient for most enterprises
- Only
2% of companies (termed "RAI leaders") met the full standards set in the Infosys RAI capability benchmark — termed "RAISE BAR" with15% (RAI followers) meeting three-quarters of the standards. - The "RAI leader" cohort experienced
39% lower financial losses and18% lower severity from AI incidents. - Leaders do several things better to achieve these results, including developing improved AI explainability, proactively evaluating and mitigating against bias, rigorously testing and validating AI initiatives and having a clear incident response plan.
Executives view RAI as a growth driver
78% of senior leaders see RAI as aiding their revenue growth and83% say that future AI regulations would boost, rather than inhibit, the number of future AI initiatives.- However, on average, companies believe they are underinvesting in RAI by
30% .
With the scale of enterprise AI adoption far outpacing readiness, companies must urgently shift from treating RAI as a reactive compliance obligation to embracing it proactively as a strategic advantage. To help organizations build scalable, trusted AI systems that fuel growth while mitigating risk, Infosys recommends the following actions:
- Learn from the leaders: Study the practices of high-maturity RAI organizations who have already faced diverse incident types and developed robust governance.
- Blend product agility with platform governance: Combine decentralized product innovation with centralized RAI guardrails and oversight.
- Embed RAI guardrails into secure AI platforms: Use platform-based environments that enable AI agents to operate within preapproved data and systems.
- Establish a proactive RAI office: Create a centralized function to monitor risk, set policy, and scale governance with tools like Infosys' AI3S (Scan, Shield, Steer).
Balakrishna D.R., EVP – Global Services Head, AI and Industry Verticals, Infosys, said, "Drawing from our extensive experience working with clients on their AI journeys, we have seen firsthand how delivering more value from enterprise AI use cases, would require enterprises to first establish a responsible foundation built on trust, risk mitigation, data governance, and sustainability. This also means emphasizing ethical, unbiased, safe, and transparent model development. To realize the promise of this technology in the agentic AI future, leaders should strategically focus on platform and product-centric enablement, and proactive vigilance of their data estate. Companies should not discount the important role a centralized RAI office plays as enterprise AI scales, and new regulations come into force."
Jeff Kavanaugh, Head of Infosys Knowledge Institute, Infosys, said, "Today, enterprises are navigating a complex landscape where AI's promise of growth is accompanied by significant operational and ethical risks. Our research clearly shows that while many are recognizing the importance of Responsible AI, there's a substantial gap in practical implementation. Companies that prioritize robust, embedded RAI safeguards will not only mitigate risks and potentially reduce financial losses but also unlock new revenue streams and thrive as we transition into the transformative agentic AI era."
To read the full report, please visit here.
Methodology
Infosys used an anonymous format to conduct an online survey of 1,502 business executives across industries across
About Infosys
Infosys is a global leader in next-generation digital services and consulting. Over 320,000 of our people work to amplify human potential and create the next opportunity for people, businesses, and communities. We enable clients in 59 countries to navigate their digital transformation. With over four decades of experience in managing the systems and workings of global enterprises, we expertly steer clients, as they navigate their digital transformation powered by cloud and AI. We enable them with an AI-first core, empower the business with agile digital at scale and drive continuous improvement with always-on learning through the transfer of digital skills, expertise, and ideas from our innovation ecosystem. We are deeply committed to being a well-governed, environmentally sustainable organization where diverse talent thrives in an inclusive workplace.
Visit www.infosys.com to see how Infosys (NSE, BSE, NYSE: INFY) can help your enterprise navigate your next.
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