Cognizant Study Shows Consumers Who Embrace AI Could Drive $4.4 Trillion in Spending Over Five Years
Cognizant (NASDAQ: CTSH) and Oxford Economics released a study revealing AI's significant impact on consumer spending by 2030. The research predicts that AI enthusiasts aged 18-44 will drive $4.4 trillion of AI-influenced consumer spending in the U.S., with additional projections of $690 billion in the U.K., $669 billion in Australia, and $539 billion in Germany.
The study identifies three key phases in the AI-transformed purchasing journey: Learn, Buy, and Use. While 47% of consumers are comfortable using AI in the discovery phase, only 16% of those 55+ feel comfortable using AI during the buying phase. The research, based on 8,400 respondents across four countries, shows that 75% of consumers are unlikely to allow AI to automatically handle high-value transactions.
To capitalize on these trends, Cognizant launched Cognizant Moment™ to help clients leverage AI for customer experience enhancement and introduced the Synapse program for global tech education and workforce development.
Cognizant (NASDAQ: CTSH) e Oxford Economics hanno pubblicato uno studio che rivela l'impatto significativo dell'IA sulla spesa dei consumatori entro il 2030. La ricerca prevede che gli appassionati di IA di età compresa tra 18 e 44 anni guideranno 4,4 trilioni di dollari di spesa influenzata dall'IA negli Stati Uniti, con ulteriori previsioni di 690 miliardi di dollari nel Regno Unito, 669 miliardi di dollari in Australia e 539 miliardi di dollari in Germania.
Lo studio identifica tre fasi chiave nel percorso di acquisto trasformato dall'IA: Imparare, Comprare e Usare. Mentre il 47% dei consumatori si sente a proprio agio nell'usare l'IA nella fase di scoperta, solo il 16% di quelli con più di 55 anni si sente a proprio agio nell'utilizzare l'IA durante la fase di acquisto. La ricerca, basata su 8.400 intervistati in quattro paesi, mostra che il 75% dei consumatori è improbabile che consenta all'IA di gestire automaticamente le transazioni di alto valore.
Per capitalizzare su queste tendenze, Cognizant ha lanciato Cognizant Moment™ per aiutare i clienti a sfruttare l'IA per il miglioramento dell'esperienza cliente e ha introdotto il programma Synapse per l'educazione tecnologica globale e lo sviluppo della forza lavoro.
Cognizant (NASDAQ: CTSH) y Oxford Economics publicaron un estudio que revela el impacto significativo de la IA en el gasto del consumidor para 2030. La investigación predice que los entusiastas de la IA de entre 18 y 44 años impulsarán 4,4 billones de dólares en gasto influenciado por la IA en EE. UU., con proyecciones adicionales de 690 mil millones de dólares en el Reino Unido, 669 mil millones de dólares en Australia y 539 mil millones de dólares en Alemania.
El estudio identifica tres fases clave en el viaje de compra transformado por la IA: Aprender, Comprar y Usar. Mientras que el 47% de los consumidores se siente cómodo usando IA en la fase de descubrimiento, solo el 16% de aquellos mayores de 55 años se siente cómodo usando IA durante la fase de compra. La investigación, basada en 8,400 encuestados de cuatro países, muestra que el 75% de los consumidores es poco probable que permita que la IA maneje automáticamente transacciones de alto valor.
Para aprovechar estas tendencias, Cognizant lanzó Cognizant Moment™ para ayudar a los clientes a aprovechar la IA para mejorar la experiencia del cliente e introdujo el programa Synapse para la educación tecnológica global y el desarrollo de la fuerza laboral.
Cognizant (NASDAQ: CTSH)와 Oxford Economics는 2030년까지 소비자 지출에 대한 AI의 상당한 영향을 드러내는 연구를 발표했습니다. 이 연구는 18세에서 44세 사이의 AI 열성 팬들이 미국에서 4.4 조 달러의 AI 영향을 받은 소비자 지출을 주도할 것이라고 예측하고 있으며, 영국에서는 6900억 달러, 호주에서는 6690억 달러, 독일에서는 5390억 달러를 추가로 예상하고 있습니다.
이 연구는 AI로 변혁된 구매 여정의 세 가지 주요 단계를 식별합니다: 배우기, 구매하기, 사용하기. 47%의 소비자가 탐색 단계에서 AI를 사용하는 데 편안함을 느끼는 반면, 55세 이상 중에서 AI를 구매 단계에서 사용하는 것에 편안함을 느끼는 사람은 단 16%입니다. 4개국의 8,400명의 응답자를 기반으로 한 이 연구는 75%의 소비자가 AI가 고액 거래를 자동으로 처리하는 것을 허용할 가능성이 낮다고 보여줍니다.
이러한 트렌드를 활용하기 위해 Cognizant는 고객 경험 개선을 위해 AI를 활용하도록 돕는 Cognizant Moment™를 출시하고, 글로벌 기술 교육과 인력 개발을 위한 Synapse 프로그램을 도입했습니다.
Cognizant (NASDAQ: CTSH) et Oxford Economics ont publié une étude révélant l'impact significatif de l'IA sur les dépenses des consommateurs d'ici 2030. La recherche prédit que les passionnés d'IA âgés de 18 à 44 ans stimuleront 4,4 billions de dollars de dépenses influencées par l'IA aux États-Unis, avec des prévisions supplémentaires de 690 milliards de dollars au Royaume-Uni, 669 milliards de dollars en Australie et 539 milliards de dollars en Allemagne.
L'étude identifie trois phases clés dans le parcours d'achat transformé par l'IA : Apprendre, Acheter et Utiliser. Alors que 47% des consommateurs se sentent à l'aise d'utiliser l'IA dans la phase de découverte, seulement 16% de ceux âgés de 55 ans et plus se sentent à l'aise d'utiliser l'IA lors de la phase d'achat. La recherche, basée sur 8 400 répondants dans quatre pays, montre que 75% des consommateurs sont peu susceptibles de permettre à l'IA de gérer automatiquement des transactions de grande valeur.
Pour tirer parti de ces tendances, Cognizant a lancé Cognizant Moment™ pour aider les clients à tirer parti de l'IA afin d'améliorer l'expérience client et a introduit le programme Synapse pour l'éducation technologique mondiale et le développement de la main-d'œuvre.
Cognizant (NASDAQ: CTSH) und Oxford Economics haben eine Studie veröffentlicht, die die signifikante Auswirkung von KI auf die Verbraucherausgaben bis 2030 aufzeigt. Die Forschung prognostiziert, dass KI-Enthusiasten im Alter von 18 bis 44 Jahren 4,4 Billionen Dollar an durch KI beeinflussten Verbraucherausgaben in den USA vorantreiben werden, mit zusätzlichen Prognosen von 690 Milliarden Dollar im Vereinigten Königreich, 669 Milliarden Dollar in Australien und 539 Milliarden Dollar in Deutschland.
Die Studie identifiziert drei Schlüsselphasen im durch KI transformierten Einkaufsprozess: Lernen, Kaufen und Nutzen. Während 47% der Verbraucher sich wohlfühlen, KI in der Entdeckungsphase zu nutzen, fühlen sich nur 16% der über 55-Jährigen wohl dabei, KI in der Kaufphase zu verwenden. Die Forschung, die auf 8.400 Befragten aus vier Ländern basiert, zeigt, dass 75% der Verbraucher unwahrscheinlich ist, KI automatisch hochpreisige Transaktionen abwickeln zu lassen.
Um von diesen Trends zu profitieren, hat Cognizant Cognizant Moment™ eingeführt, um Kunden bei der Nutzung von KI zur Verbesserung des Kundenerlebnisses zu unterstützen, und das Synapse-Programm zur globalen Technologiebildung und Entwicklung der Belegschaft gestartet.
- Projected $4.4 trillion in AI-influenced consumer spending by 2030 in the U.S.
- AI expected to drive 46% of U.S. consumer transactions by 2030
- 47% of consumers comfortable using AI in product discovery phase
- Launch of Cognizant Moment™ platform for AI-driven customer experience
- 75% of consumers reluctant to allow AI automation for high-value purchases
- Low AI adoption rate (16%) among consumers aged 55+ in buying phase
Insights
The study reveals a transformative shift in consumer spending patterns, projecting
The research methodology, encompassing 8,400 respondents across major markets, provides robust statistical validity. The three-phase consumer journey analysis (Learn, Buy, Use) unveils critical insights: 47% of consumers are comfortable with AI in product discovery, but only
These findings hint at a seismic shift in consumer behavior that will force businesses to radically rethink their customer engagement strategies. The projected
The research illuminates critical friction points in AI adoption that will shape enterprise technology strategies. The stark contrast between consumer comfort levels across different purchase phases - high in discovery but low in transaction - presents both challenges and opportunities for AI implementation.
Particularly noteworthy is the
Cognizant's strategic positioning through the Moment™ platform and Synapse program demonstrates awareness that success in this transition requires both technological capability and human capital development. This dual focus on tech transformation and workforce upskilling aligns with the market's evolving needs.
Joint study between Cognizant and Oxford Economics predicts AI will drive
The study also predicts that
"As AI-influenced buying evolves, businesses must navigate mixed consumer attitudes towards AI," said Ravi Kumar S., CEO of Cognizant. "Enterprises are balancing the demand for convenience with the need for control and trust. Understanding these attitudes is crucial for developing AI solutions that not only enhance convenience but build confidence in the full potential of how AI can reimagine the customer experience and unlock tremendous value."
To inform the study's findings, Cognizant and Oxford Economics examined historic patterns of consumer technology adoption across a range of demographics and grouped them into cohorts based on behavioral dynamics. It then aligned these cohorts with data from a survey of 8,400 respondents focusing on their openness to using AI in the buying experience. With
- Consumers are most comfortable using AI in the discovery phase of making a purchase decision (the Learn phase). Across all consumer age groups,
47% cite they are comfortable using AI to help choose products and services. In this phase, AI-powered search tools, personalized recommendations and virtual assistants can be essential tools in the discovery and evaluation stages of consumer journeys. Technology companies are already building these capabilities into their consumer-facing toolsets, making it easier for consumers to use AI to gather information and shortlist options. - During the decision-making phase (the Buy phase), consumers harbor more hesitation. In this phase, consumers share concerns around security and trust when it comes to using AI. The study showed
75% of consumers are unlikely to allow AI to automatically reorder or pay for high value items without their direct authorization. Additionally, only16% of those who are 55 years and older are comfortable using AI during this phase (and only33% are comfortable among the 18–44-year-old group). - Comfort levels begin to rebound in the post-sale engagement phase (the Use phase). In this phase, consumers benefit from AI's ability to help them tap into time savings and targeted services that add value to their after-purchase experience. Across all consumers, nearly a third (
28% ) said they are comfortable with AI reordering low-priced items. For example, smart HVAC systems could intelligently reorder air filters from the manufacturer directly, reducing the onus on consumers to identify the need for replacements themselves or reliance on local retailers to deliver supplies in a timely manner.
Capitalizing on the AI-augmented opportunity
This study underscores the work Cognizant is doing to help business leaders across industries adapt to AI-empowered consumers, particularly as AI agents begin to power more consumer purchasing experiences, orchestrating complex tasks across the buying journey. The estimated economic impact of this evolution is significant -- as AI adoption continues to grow, Cognizant and Oxford Economics' New Work New World study predicts AI could inject
Cognizant is helping businesses adjust to new rules of engagement that integrate AI into familiar environments and supporting work to enhance convenience, ensure secure interoperability, and build trust through human involvement.
To further support the acceleration of enterprise AI adoption, Cognizant launched Cognizant Moment™, the next evolution of the company's digital experience practice area, designed to help clients leverage the power of AI to reimagine customer experience and engineer innovative strategies aimed at driving growth. Now, as the ways consumers interact with technology are shifting, Cognizant aims to give clients the tools and insights they need to drive differentiation, cultivate customer loyalty and become future-ready.
Also critical to helping the acceleration of AI adoption is Cognizant's Synapse program, a global upskilling initiative designed to revolutionize and rebalance the landscape of tech education and workforce development by redefining opportunities for more than one million individuals worldwide.
To view the complete study and learn more, click here.
Methodology:
In mid-2024, Cognizant and Oxford Economics devised a multi-modal study to examine how AI will change consumer behaviors and, therefore, the customer purchase journey. The study included both a qualitative and a quantitative component: a survey of 8,400 adults across the
About Cognizant
Cognizant (Nasdaq: CTSH) engineers modern businesses. We help our clients modernize technology, reimagine processes, and transform experiences to stay ahead in our fast-changing world. Together, we're improving everyday life. See how at www.cognizant.com or @cognizant.
For more information, contact:
Corporate
Gabby Gugliocciello
Gabrielle.Gugliocciello@cognizant.com
Rashmi Vasisht
rashmi.vasisht@cognizant.com
Christina Schneider
christina.schneider@cognizant.com
Forward-Looking Statements
This press release includes statements that may constitute forward-looking statements made pursuant to the safe harbor provisions of the Private Securities Litigation Reform Act of 1995, the accuracy of which are necessarily subject to risks, uncertainties and assumptions as to future events that may not prove to be accurate. These statements include, but are not limited to, express or implied forward-looking statements relating to the adoption of generative artificial intelligence, the effects of generative artificial intelligence on the consumer spending and the economy and the effectiveness and results of our new Synapse initiative. These statements are neither promises nor guarantees but are the findings of the studies discussed above and remain subject to a variety of risks and uncertainties, many of which are beyond our control, which could cause actual results to differ materially from those contemplated in these forward-looking statements. Existing and prospective investors are cautioned not to place undue reliance on these forward-looking statements, which speak only as of the date hereof. Factors that could cause outcomes to differ materially from those expressed or implied include general economic conditions, the impact of technological development and competition, the competitive and rapidly changing nature of the markets we compete in, the competitive marketplace for talent and its impact on employee recruitment and retention, and the other factors discussed in our most recent Annual Report on Form 10-K and other filings with the Securities and Exchange Commission. Cognizant undertakes no obligation to update or revise any forward-looking statements, whether as a result of new information, future events, or otherwise, except as may be required under applicable securities law.
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