The agentic AI acceptance curve: How consumer trust in AI agents is reshaping customer experiences.

Summary of key findings.

Consumers are becoming more comfortable using AI to support everyday decisions and expect AI-powered experiences to feel transparent, personalized, and helpful. As awareness of agentic AI grows, brands have an opportunity to strengthen loyalty with proactive, conversational experiences that reduce effort and make discovery easier.

• Three in five consumers say they would be more loyal to a brand that provides a proactive AI experience designed to anticipate their needs.
• Among consumers, 69% feel more confident in brands that clearly disclose when they are interacting with an AI agent from the start, underscoring the mandate for brand transparency.
• More than four in five (81%) consumers now use AI tools or agents to simplify administrative tasks in everyday life, primarily delegating travel research and booking (31%), meal planning and grocery ordering (29%), and guided product discovery (25%).
• While only 23% of consumers currently use AI tools or agents for financial management, 83% would trust a specialized AI agent to handle specific financial tasks without human oversight.
• AI tools are helping consumers reclaim time: users report saving an average of 56 hours annually on tasks such as financial management.
• Nearly three in five (57%) consumers report a significant drop in mental fatigue since adopting AI tools or agents to help with administrative tasks in everyday life.

How AI is reshaping everyday administrative tasks—and what it means for brands.

AI tools are rapidly becoming part of everyday life. To better understand how consumers use agentic AI for administrative tasks in everyday life, Adobe surveyed more than 1,000 U.S. consumers about their experiences with AI-powered assistance for product discovery, travel planning, financial management, calendar scheduling, and meal preparation.

This acceptance curve—the shift from cautious experimentation to trusting AI with more consequential tasks—is moving faster than many brands expect. As people become more comfortable using AI to organize tasks, compare options, and speed up decisions, they’re beginning to expect the same level of responsiveness and personalization from digital brand experiences. Consumers are increasingly open to conversational AI interactions that reduce effort and simplify discovery.

That shift raises the bar for brands: delivering personalized experiences at scale requires coordination behind the scenes. Adobe introduced Adobe CX Enterprise as its flagship offering for customer experience orchestration, and now marketing teams can use CX Enterprise Coworker as an AI-powered teammate to activate agentic workflows across supported Adobe applications, turning high-level goals into coordinated work with less manual coordination while keeping permissions, approval gates, and human oversight in place.

How consumers are using AI for everyday tasks.

More consumers are using AI tools to handle everyday tasks such as travel planning, budgeting, and meal preparation. As these tools help save time and reduce the stress of routine decisions, consumers are increasingly expecting digital experiences that are more convenient and personalized.

Which tasks are consumers most comfortable delegating to AI?

Travel research and booking rank as the most common use of AI among consumers across nearly all age and gender groups. Gen Z consumers are the exception, with meal planning and grocery ordering ranking as the top use case for 35% of respondents. Younger consumers are significantly more comfortable using AI to manage personal tasks. Gen Z respondents are 33% more likely than older generations to use AI for financial management and 48% more likely to use it for fitness planning.

Why do consumers trust AI agents?

Consumers say they trust AI tools when they reduce decision fatigue by handling tedious, repetitive, and analytical tasks that can feel overwhelming or time-consuming. Trust is highest where AI provides immediate, practical utility and peace of mind, making consumers increasingly open to using AI for specific financial tasks with limited human involvement. The most trusted use cases include:

• Expense tracking (42%)
• Subscription tracking and cancellation (38%)
• Fraud detection alerts (36%)
• Insurance comparisons (36%)
• Credit monitoring (35%)
• Personal budgeting (32%)

This trust reflects what different groups seek most from AI. In Adobe's survey, trust in AI for subscription tracking and cancellation ran 21% higher among women than men. Gen Z consumers were 33% more likely than older generations to trust AI for personal budgeting, while baby boomers ranked fraud-detection alerts as the financial task they trust AI with most — suggesting their confidence is tied to AI's ability to enhance security and reduce risk.

What prevents consumers from adopting AI agents?

Despite rising adoption, consumers have concerns about agentic AI. Privacy concerns rank highest at 53%, followed by accuracy concerns at 52%.

Additional barriers include:

• Lack of control (34%)
• Preference for human interaction (23%)
• Cost concerns (21%)
• Task complexity (17%)
• Lack of perceived need (16%)
• Difficulty of setup (12%)

Overcoming these barriers requires experiences that make data use, permissions, and human oversight clear. Adobe CX Enterprise brings together the capabilities brands use to connect approved data, content, and workflows across customer experience operations. Within that environment, Coworker helps marketing teams turn high-level goals into coordinated work across supported applications while keeping governance, privacy, and human review central to how AI-assisted experiences are developed and delivered.

Where are non-users most interested in AI support?

There is substantial untapped consumer interest in using AI for administrative tasks in everyday life. Among non-users, the most desired capabilities include:

• Price tracking and deal alerts (33%)
• Comparison of insurance policies or financial products (24%)
• Meal planning and grocery ordering (21%)
• Subscription management (19%)
• Financial management support (17%)

Overall, 71% of consumers who are not currently using AI for administrative tasks in everyday life say they are interested in doing so in the future.

As consumers grow more comfortable trusting AI with financial planning, product research, and other high-consideration tasks, expectations around digital experiences are beginning to shift as well. While only 23% of consumers currently use AI for financial management, 83% say they would trust a specialized AI system to handle specific financial tasks autonomously, signaling growing comfort with AI-assisted decision-making.

This trust gap is an opening for brands. Adobe Brand Concierge helps guide customers through high-consideration decisions with personalized conversations, product comparisons, recommendations, and discovery grounded in approved brand content.

How AI agents reduce mental fatigue and improve decision-making.

As more consumers use AI tools to manage everyday tasks, many are discovering benefits that go beyond saving time. These tools can help reduce the stress and mental effort associated with routine planning, organization, and decision-making. For brands, this shift underscores the value of delivering contextual, adaptive touchpoints that reduce friction and strengthen customer relationships.

The payoff is both practical and psychological. Users report saving an average of 56 hours annually on tasks such as financial management, and 57% of consumers report a significant reduction in mental fatigue and everyday stress after integrating AI tools into their routines. This reclaimed time and lighter cognitive load may help ease the ongoing strain of everyday decision-making.

Which tasks create the most mental fatigue?

According to consumers, financial management is the most mentally draining administrative task in everyday life, with 41% ranking it as their top source of stress. Other tasks that ranked highly include:

• Meal planning and grocery ordering (29%)
• Calendar management and scheduling (17%)
• Comparison of insurance policies or financial products (16%)
• Email organization (15%)
• Travel research and booking (10%)

Meal planning and grocery ordering weigh more heavily on some households than others: in Adobe's survey, women were 62% more likely than men to say these tasks drain their mental energy. Across generations, financial management remains the leading source of mental fatigue, underscoring the appeal of AI tools that can simplify high-effort decisions.

How are consumers spending the time saved by AI?

Consumers are using the time reclaimed through AI automation to focus on personal well-being and quality of life. The most common ways consumers spend that extra time include:

• Relaxing or engaging in leisure activities (53%)
• Spending time with family and friends (45%)
• Pursuing hobbies or personal interests (44%)
• Exercising or practicing self-care (41%)
• Learning new skills (19%)
• Working more or focusing on career development (14%)

Gen Z is more likely to put the time they reclaim toward self-care, a reminder that different consumers reinvest the hours AI gives back in different ways.

How do AI agents reduce mental fatigue?

Reduced mental fatigue has become an important measure of value for consumers using agentic AI. In Adobe's survey, women were 15% more likely than men to say AI tools help reduce cognitive strain, while Gen Z was 21% less likely than older generations to associate AI adoption with mental relief. These findings reinforce how conversational and AI-assisted experiences are reshaping expectations for convenience, efficiency, and personalized support.

How is AI changing expectations for digital experiences?

Consumers are looking for digital experiences that feel more supportive and easier to navigate, especially in industries such as finance, insurance, healthcare, and ecommerce, where decision-making can be more complex. As AI becomes more common in everyday life, expectations for convenience, personalized discovery, and tailored support are shaping how consumers interact with brands online.

Within Adobe CX Enterprise, Coworker is an AI-powered teammate that helps marketing teams activate agentic workflows across supported Adobe applications. By reducing manual handoffs, it can help teams plan, produce, and deliver personalized experiences at scale while keeping governance and human oversight in place.

How proactive AI agents build consumer trust and brand loyalty.

As AI interactions become a bigger part of everyday life, consumers are placing greater importance on trust, transparency, and personalization. They are more likely to remain loyal to brands when AI interactions feel helpful, proactive, and authentic.

Why do proactive AI experiences increase loyalty?

Three in five consumers say they would be more loyal to a brand that offers a proactive AI experience designed to anticipate their needs. In Adobe's survey, men were 16% more likely than women to report increased loyalty after these anticipatory, intent-based interactions.

What makes AI interactions feel trustworthy?

Transparency also plays a big part in building consumer trust. Among consumers, 69% feel more confident in brands that clearly disclose when they are interacting with an AI agent from the outset. They increasingly expect AI-powered interactions to combine personalization with transparency, so they feel supported and informed throughout the customer journey. As adoption of agentic AI grows, consumers are placing greater value on brand-controlled experiences that make conversational AI interactions feel trustworthy and authentic.

How do different generations define authentic AI experiences?

Consumers across generations have different expectations for what makes conversational AI interactions feel authentic.

Gen Z and baby boomers place the greatest importance on source citations and verification, with 48% of respondents in both groups saying they want AI-generated information, product recommendations, and personalized discovery experiences to include clear sourcing.

Millennials and Gen X consumers are more focused on continuity and personalization. Among respondents, 46% of millennials and 54% of Gen X consumers say AI experiences feel more authentic when brands remember their preferences across sessions and deliver persistent, tailored interactions.

For the marketing teams delivering these experiences, Coworker acts as an AI-powered teammate that activates agentic workflows across supported Adobe applications. By coordinating work from planning through execution, it can reduce manual handoffs and help teams deliver personalized experiences at scale while maintaining business context, approvals, governance, and human oversight.

How agentic AI is reshaping customer journeys and digital experiences.

As consumers grow more comfortable using agentic AI in their personal lives, their expectations for brand interactions are evolving as well. Consumers want digital experiences that feel proactive, personalized, and conversational rather than static or transactional.

The growing acceptance of AI for administrative tasks in everyday life—such as financial management, travel planning, and product discovery—signals a broader shift toward AI-assisted customer journeys. Consumers are becoming more willing to trust systems that reduce effort, simplify complex decisions, and deliver tailored recommendations in real time.

This creates pressure on brands to deliver digital experiences that balance automation with transparency and personalization. AI-enabled platforms can help businesses create more adaptive customer journeys while maintaining control over data, brand voice, and customer trust.

Adobe Brand Concierge is a CX Enterprise application that helps brands create conversational, personalized discovery experiences on their owned digital properties. It uses approved brand content to guide customers through questions, comparisons, and recommendations while preserving brand voice and governance.

As trust in agentic AI continues to grow, brands that can make AI interactions feel transparent, relevant, and genuinely helpful will likely find it easier to build stronger customer relationships.

Watch the Adobe Brand Concierge overview video to see how conversational AI can support product discovery and customer decision-making.

Methodology.

Proprietary research conducted by Adobe informs this article. The study surveyed 1,007 consumers across the US, providing a 95% confidence level and a ±3% margin of error. Respondents were asked about their use of agentic AI for administrative tasks in everyday life. As with all self-reported data, the results may reflect personal perceptions and experiences rather than actual behavior.