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The Hackett Group: Finance Leaders at a Crossroads as Gen AI Adoption Surges

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The Hackett Group (NASDAQ: HCKT) has released its 2025 Key Issues Study, revealing a dramatic surge in generative AI adoption among executives, jumping from 16% to 89% in just one year. The study highlights finance teams' evolving strategic role, with 65% of finance executives now considered 'valued business partners,' up from 41% last year.

While AI adoption in finance is expected to grow 20% this year, approximately 22% of finance organizations haven't yet acted on Gen AI. The study projects a 5% productivity gap, with workloads increasing 4% while budgets and headcounts decrease by 1%. Early adopters are seeing productivity improvements and cost reductions exceeding 10% in areas like transactional processing, tax management, and financial planning.

Key challenges include data quality, process complexity, change management, and AI talent shortage. The report recommends finance leaders develop targeted Gen AI strategies, prioritize value-driving use cases, and invest in team upskilling to ensure AI readiness.

Il Hackett Group (NASDAQ: HCKT) ha pubblicato il suo Studio sulle Questioni Chiave 2025, rivelando un drammatico aumento nell'adozione dell'IA generativa tra i dirigenti, passando dal 16% all'89% in soli dodici mesi. Lo studio evidenzia il ruolo strategico in evoluzione dei team finanziari, con 65% dei dirigenti finanziari ora considerati 'partner commerciali di valore', rispetto al 41% dell'anno scorso.

Sebbene l'adozione dell'IA in finanza sia prevista in crescita del 20% quest'anno, circa il 22% delle organizzazioni finanziarie non ha ancora intrapreso azioni sull'IA generativa. Lo studio prevede un gap di produttività del 5%, con un aumento del carico di lavoro del 4% mentre i budget e il numero di dipendenti diminuiscono dell'1%. I primi adottanti stanno riscontrando miglioramenti nella produttività e riduzioni dei costi superiori al 10% in aree come il processamento delle transazioni, la gestione fiscale e la pianificazione finanziaria.

Le principali sfide includono la qualità dei dati, la complessità dei processi, la gestione del cambiamento e la carenza di talenti nell'IA. Il rapporto raccomanda ai leader finanziari di sviluppare strategie mirate per l'IA generativa, dare priorità ai casi d'uso che generano valore e investire nella formazione del team per garantire la prontezza all'IA.

El Hackett Group (NASDAQ: HCKT) ha lanzado su Estudio sobre Cuestiones Clave 2025, revelando un aumento dramático en la adopción de IA generativa entre los ejecutivos, saltando del 16% al 89% en solo un año. El estudio destaca el papel estratégico en evolución de los equipos financieros, con 65% de los ejecutivos financieros ahora considerados 'socios comerciales valiosos', frente al 41% del año pasado.

Si bien se espera que la adopción de IA en finanzas crezca un 20% este año, aproximadamente el 22% de las organizaciones financieras aún no han actuado sobre la IA generativa. El estudio proyecta un gap de productividad del 5%, con cargas de trabajo aumentando un 4% mientras que los presupuestos y el número de empleados disminuyen en un 1%. Los primeros adoptantes están viendo mejoras en la productividad y reducciones de costos que superan el 10% en áreas como procesamiento de transacciones, gestión fiscal y planificación financiera.

Los principales desafíos incluyen la calidad de los datos, la complejidad de los procesos, la gestión del cambio y la escasez de talento en IA. El informe recomienda a los líderes financieros desarrollar estrategias específicas para la IA generativa, priorizar casos de uso que generen valor e invertir en la capacitación del equipo para garantizar la preparación para la IA.

해킷 그룹 (NASDAQ: HCKT)이 2025년 주요 이슈 연구 결과를 발표했으며, 경영진 사이에서 생성적 AI 채택이 16%에서 89%로 급증했다는 사실을 밝혔습니다. 이 연구는 재무 팀의 전략적 역할이 진화하고 있음을 강조하며, 현재 65%의 재무 경영진이 '가치 있는 비즈니스 파트너'로 간주되고 있으며, 이는 지난해 41%에서 증가한 수치입니다.

재무 분야에서 AI 채택이 올해 20% 증가할 것으로 예상되는 반면, 약 22%의 재무 조직은 아직 생성적 AI에 대한 조치를 취하지 않았습니다. 이 연구는 5%의 생산성 격차를 예상하며, 업무량은 4% 증가하는 반면 예산과 인원 수는 1% 감소할 것으로 보입니다. 초기 채택자들은 거래 처리, 세무 관리 및 재무 계획과 같은 분야에서 10% 이상의 생산성 향상과 비용 절감을 경험하고 있습니다.

주요 도전 과제로는 데이터 품질, 프로세스 복잡성, 변화 관리 및 AI 인재 부족이 있습니다. 보고서는 재무 리더들이 목표가 있는 생성적 AI 전략을 개발하고, 가치 창출 사례에 우선 순위를 두며, 팀의 기술 향상을 위해 투자하여 AI 준비 상태를 보장할 것을 권장합니다.

Le Hackett Group (NASDAQ: HCKT) a publié son étude sur les enjeux clés de 2025, révélant une augmentation spectaculaire de l'adoption de l'IA générative parmi les dirigeants, passant de 16% à 89% en seulement un an. L'étude met en lumière l'évolution du rôle stratégique des équipes financières, avec 65% des dirigeants financiers désormais considérés comme des 'partenaires commerciaux de valeur', contre 41% l'année dernière.

Bien que l'adoption de l'IA dans le secteur financier devrait croître de 20% cette année, environ 22% des organisations financières n'ont pas encore agi sur l'IA générative. L'étude prévoit un écart de productivité de 5%, avec une augmentation de la charge de travail de 4% tandis que les budgets et les effectifs diminuent de 1%. Les premiers adoptants constatent des améliorations de la productivité et des réductions de coûts dépassant 10% dans des domaines tels que le traitement des transactions, la gestion fiscale et la planification financière.

Les principaux défis incluent la qualité des données, la complexité des processus, la gestion du changement et la pénurie de talents en IA. Le rapport recommande aux dirigeants financiers de développer des stratégies ciblées pour l'IA générative, de prioriser les cas d'utilisation générant de la valeur et d'investir dans la formation des équipes pour garantir leur préparation à l'IA.

Die Hackett Group (NASDAQ: HCKT) hat ihre Studie zu den wichtigsten Themen 2025 veröffentlicht, die einen dramatischen Anstieg der Nutzung von generativer KI unter Führungskräften zeigt, die von 16% auf 89% innerhalb eines Jahres gestiegen ist. Die Studie hebt die sich entwickelnde strategische Rolle der Finanzteams hervor, wobei 65% der Finanzmanager jetzt als 'geschätzte Geschäftspartner' angesehen werden, im Vergleich zu 41% im letzten Jahr.

Obwohl ein Anstieg der KI-Nutzung im Finanzwesen um 20% in diesem Jahr erwartet wird, haben etwa 22% der Finanzorganisationen noch keine Maßnahmen zur generativen KI ergriffen. Die Studie prognostiziert eine Produktivitätslücke von 5%, wobei die Arbeitslast um 4% steigt, während Budgets und Mitarbeiterzahlen um 1% sinken. Frühe Anwender verzeichnen Produktivitätsverbesserungen und Kostensenkungen von über 10% in Bereichen wie Transaktionsverarbeitung, Steuerverwaltung und Finanzplanung.

Zu den wichtigsten Herausforderungen gehören Datenqualität, Prozesskomplexität, Änderungsmanagement und der Mangel an KI-Talenten. Der Bericht empfiehlt Finanzleitern, gezielte Strategien für generative KI zu entwickeln, wertschöpfende Anwendungsfälle zu priorisieren und in die Weiterbildung des Teams zu investieren, um die Bereitschaft für KI sicherzustellen.

Positive
  • Significant increase in finance teams recognized as valued business partners (65% vs 41% last year)
  • Early adopters achieving over 10% improvements in productivity and cost reduction
  • 44% of finance teams planning AI-powered intelligent automation initiatives
Negative
  • 22% of finance organizations still inactive in Gen AI adoption
  • 5% productivity gap expected due to increasing workload and reducing resources
  • Low confidence in AI implementation due to data quality and talent shortage issues

Report reveals 89% of executives advancing Gen AI initiatives; finance teams will play a critical role in enterprise transformation or risk falling behind

MIAMI--(BUSINESS WIRE)-- The Hackett Group, Inc. (NASDAQ: HCKT), a leading generative artificial intelligence (Gen AI) strategic consultancy and executive advisory firm, today announced findings from its 2025 Key Issues Study, revealing that 89% of executives are advancing Gen AI initiatives – up from just 16% a year ago. Gen AI has moved from exploration to acceleration, and the study finds that finance leaders will increasingly be looked upon for transformation leadership. In fact, 65% of finance executives described their organization as a “valued business partner” – a significant jump from 41% last year – signaling that the finance function is evolving into a more strategic role within the enterprise. Yet, AI adoption within the finance function is still in its early stages and expected to grow 20% this year.

“The race to integrate AI into finance is on, and those who delay will fall behind,” said Vince Griffin, principal and Finance Executive Advisory practice leader at The Hackett Group. “Our research shows that AI deployment in finance isn’t just about efficiency gains – it’s a catalyst for reimagining how the entire enterprise drives revenue and delivers value.”

AI is reshaping finance – but only for those who act

Finance functions are seeing early gains from Gen AI, with a small but promising number of companies achieving productivity improvements, cost reductions and quality enhancements exceeding 10%. Yet, adoption remains in its infancy. The 2025 CFO Agenda reveals that:

  • Approximately 22% of finance organizations have yet to act on Gen AI.
  • The highest areas for AI include high-volume transactional processing and highly complex areas like tax management and financial planning and analysis.
  • Approximately 44% of finance teams have initiatives planned for implementing AI-powered intelligent automation such as Gen AI.
  • A 5% productivity gap looms, as workloads are set to rise by 4% while budgets and head counts shrink by 1%.

Despite the urgency, confidence in AI implementation remains low, with major concerns including data quality, process complexity, change management and lack of AI talent.

A call to action for chief financial officers

To address concerns and accelerate AI’s impact, The Hackett Group recommends finance leaders:

  • Develop a targeted Gen AI strategy aligned with enterprisewide AI goals.
  • Prioritize AI use cases that drive tangible business value.
  • Set realistic expectations for benefits and value potential.
  • Build and refine a data ecosystem that enables cross-enterprise AI-driven insights.
  • Simplify complex processes and eliminate manual inefficiencies.
  • Invest in upskilling finance teams to ensure AI readiness.

The time to act is now

Early adopters of AI are redefining finance’s role in driving business performance. Organizations that fail to embrace AI risk falling behind their competitors in agility, efficiency and strategic impact.

Download the full 2025 CFO Agenda report here.

About The Hackett Group®

The Hackett Group, Inc. (NASDAQ: HCKT) is an IP and platform-based, Gen AI strategic consulting and executive advisory firm that enables Digital World Class® performance. Using AI XPLR and ZBrain – our ideation through implementation platforms – our experienced professionals help organizations realize the power of Gen AI and achieve quantifiable, breakthrough results, allowing us to be key architects of their Gen AI journey.

Our expertise is grounded in unparalleled best practices insights from benchmarking the world’s leading businesses – including 97% of the Dow Jones Industrials, 89% of the Fortune 100, 70% of the DAX 40 and 55% of the FTSE 100. Visit us at www.thehackettgroup.com.

Trademarks

The Hackett Group®, quadrant logo, and Digital World Class® are the registered marks of The Hackett Group®.

Cautionary Statement Regarding “Forward-Looking” Statements

This release contains “forward-looking” statements within the meaning of Section 27A of the Securities Act of 1933 as amended and Section 21E of the Securities Exchange Act of 1934, as amended. Statements including without limitation, words such as “expects,” “anticipates,” “intends,” “plans,” “believes,” “seeks,” “estimates,” or other similar phrases or variations of such words or similar expressions indicating, present or future anticipated or expected occurrences or outcomes are intended to identify such forward-looking statements. Forward-looking statements are not statements of historical fact and involve known and unknown risks, uncertainties and other factors that may cause the Company’s actual results, performance or achievements to be materially different from the results, performance or achievements expressed or implied by the forward-looking statements. Factors that may impact such forward-looking statements include without limitation, the ability of The Hackett Group to effectively market its digital transformation, our ability to transition our capabilities to support generative artificial intelligence (AI)-related consulting services and solutions and other consulting services, our ability to effectively integrate acquisitions, including the LeewayHertz acquisition into our operations, our ability to manage joint ventures and successfully cooperate with our joint venture partners, competition from other consulting and technology companies that may have or develop in the future, similar offerings, the commercial viability of The Hackett Group and its services as well as other risk detailed in The Hackett Group’s reports filed with the United States Securities and Exchange Commission. The Hackett Group does not undertake any duty to update this release or any forward-looking statements contained herein.

media@thehackettgroup.com

Source: The Hackett Group, Inc.

FAQ

What percentage of executives are advancing Gen AI initiatives according to The Hackett Group's 2025 Key Issues Study?

89% of executives are advancing Gen AI initiatives, a significant increase from 16% in the previous year.

How much is AI adoption expected to grow in finance functions in 2024?

AI adoption within finance functions is expected to grow 20% this year.

What productivity gap is HCKT forecasting for finance teams?

A 5% productivity gap is expected as workloads increase by 4% while budgets and headcounts decrease by 1%.

What percentage of finance organizations have not yet implemented Gen AI according to the study?

Approximately 22% of finance organizations have not yet taken action on Gen AI implementation.

What are the main challenges in AI implementation according to The Hackett Group's study?

Major concerns include data quality, process complexity, change management, and lack of AI talent.
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