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New TTEC Digital study finds that while AI adoption is nearly universal, most models, processes, and teams aren’t ready to realize ROI

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TTEC (NASDAQ:TTEC) released a TTEC Digital study of 150 CX, contact center, and IT leaders, conducted with CX Dive, showing that despite near-universal AI adoption, none of the respondents reported meaningful AI-driven cost reductions and about two-thirds saw operational costs rise.

The research links stalled ROI to outdated operating models, fragmented data, and weak governance. Only 1% of executives describe their model as highly adaptive. Key gaps include complex tech stacks, low visibility into where AI is used, persistent AI skills shortages, and inconsistent governance. For 2027, leaders plan investments in modernizing data foundations, improving cross-functional coordination, and better connecting CX performance to business outcomes.

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Positive

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Negative

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Market Context

TTEC's AI-tagged history included AI Gateway with a -0.39% 24-hour reaction. That mixed precedent ad...
Analysis

TTEC's AI-tagged history included AI Gateway with a -0.39% 24-hour reaction. That mixed precedent added context, while high short positioning remained a risk factor to monitor against the study's ROI findings.

Key Figures

Study Sample: 150 CX and IT leaders AI Cost Reductions: 0 respondents Operational Costs Rising: two-thirds +5 more
8 metrics
Study Sample 150 CX and IT leaders AI readiness study
AI Cost Reductions 0 respondents Study finding
Operational Costs Rising two-thirds Organizations reporting higher operational costs
Highly Adaptive Operating Models 1% Executives describing current operating models
Seven-Platform Usage 60% Organizations using seven or more distinct platforms
AI Usage Visibility 43% Leaders with high confidence in tracking AI use
AI Deployment Confidence 90% Leaders generally confident deploying AI
Internal Skills Gaps 0% Respondents reporting no internal skills gaps

Previous AI Reports

5 past events · Latest: Jun 24 (Positive)
Same Type Pattern 5 events
Date Event Sentiment 24h Move Catalyst
Jun 24 AI strategy journal Positive +0.5% AI-focused journal described shifts in customer experience, adoption, privacy, and service delivery.
Jun 11 AI product launch Positive +3.6% VeriCycle targeted healthcare claims accuracy, denials reduction, and reimbursement acceleration.
May 28 AI security launch Positive +0.4% Titan addressed threat detection, behavioral monitoring, fraud prevention, and compliance for remote CX operations.
Apr 02 AI software launch Positive -0.4% AI Gateway linked modern AI models with legacy contact center systems through one integration.
Mar 10 AI industry awards Positive +18.1% TTEC received seven Stevie Awards recognizing AI-driven CX, sales excellence, and global delivery.

24h Move is the share-price change in the day after each event; other market factors may also have contributed.

Pattern Detected

TTEC's AI-tagged history included positive reactions and a -0.39% reaction to AI Gateway, indicating mixed precedent.

Key Terms

roi
1 terms
roi financial
"struggling to realize noticeable financial returns due to outdated operating models"
Return on investment (ROI) measures how much money an investor makes or loses relative to the amount they put in, expressed as a percentage. It helps compare the efficiency of different investments—like checking which of several gardens produced the most fruit for the seeds planted—so investors can decide which opportunities deliver the best payoff for the risk and capital they commit.
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AI-generated analysis. How Rhea-AI works. Not financial advice.

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A study of 150 CX and IT leaders found no organization achieved meaningful AI-driven cost reductions, prompting companies to plan data, governance, and operating model updates for 2027

AUSTIN, Texas, Aug. 17, 2026 (GLOBE NEWSWIRE) -- TTEC, a leading global consulting, technology, and managed services company delivering solutions at the intersection of data, AI, and customer experience (CX), today released new research by TTEC Digital showing that despite widespread enterprise AI adoption, many organizations are struggling to realize noticeable financial returns due to outdated operating models, fragmented data, and weak governance.

The report, The great CX reset: Why outdated operating models are stalling AI’s payoff,” was conducted in partnership with CX Dive. Its findings reveal a stark disconnect between widespread AI adoption and realized financial return for many companies, prompting corporate leaders to rethink how they operationalize AI across the enterprise. Surveying 150 CX, contact center, and IT leaders, the study found that zero respondents achieved cost reductions through AI, while two-thirds reported that operational costs have risen.

The research points to the practice of bolting advanced AI infrastructure onto rigid, pre-AI operating models as the primary reason for stalling ROI. Further, only 1% of executives describe their current operating model as highly adaptive and built for continuous change.

"Companies can no longer afford to buy into tech that fails to move the bottom line," said Marcy Riordan, vice president of data & analytics at TTEC Digital. "The great CX reset is about rebuilding on the timeless fundamentals of great service operations, clean data, skilled teams, and clear internal workflows. That's the foundation that makes AI pay off."

Three reasons AI isn't delivering ROI

The report identifies three core areas where the gap between AI adoption and AI readiness is widest:

  • Connected systems, blind workflows: Tech stack complexity is high, with 60% of organizations using seven or more distinct platforms. While leaders describe their systems as technically connected, only 43% express high confidence that they can clearly account for where AI is being used across the customer journey, leading to ungoverned automations and redundant tools.
  • The AI skills void: While 90% of leaders feel generally confident in their ability to deploy AI, not a single respondent (0%) reported having no internal skills gaps. The data shows that highly confident teams maintain internal ownership over AI strategy and governance, while leveraging external partners to accelerate technical delivery.
  • The governance stumbling block: Data quality is improving, with only 15% citing unreliable data. However, governance remains a major hurdle: only 29% of organizations use a formal, cross-functional governance process consistently, while 64% apply policies inconsistently across the enterprise.

Where companies are investing next

As organizations move beyond AI experimentation, executives are increasingly shifting attention from deploying new tools to proving measurable business value.

The top investment priorities for 2027 include:

  1. Modernizing data foundations (43%): Resolving insufficient reporting tools, inconsistent governance, and lack of real-time data access.
  2. Improving cross-functional coordination (41%): Breaking down legacy silos across operations, IT, data, and compliance.
  3. Connecting CX to business outcomes (38%): Creating clearer measurement frameworks to directly tie CX performance to the corporate balance sheet.

Download the full report to explore the complete findings, benchmark your organization's AI maturity, and learn how leading enterprises are redesigning operating models to improve AI ROI: www.ttecdigital.com/resources/the-great-cx-reset.

About TTEC

TTEC Holdings, Inc. (NASDAQ: TTEC) is a leading global consulting, technology, and managed services company delivering solutions at the intersection of data, AI, and customer experience. Serving iconic and disruptive brands, TTEC’s outcome-based solutions span the entire enterprise, touch every virtual interaction channel, and improve each step of the customer journey. Leveraging next-generation digital technology, the Company’s TTEC Digital business designs, builds, and operates omnichannel contact center technology, CRM, AI, and analytics solutions. The Company also delivers AI-enhanced customer engagement, customer acquisition and growth, tech support, back-office, and fraud prevention services. Founded in 1982, TTEC’s singular obsession with CX excellence has earned it leading client, customer, and employee satisfaction scores across the globe. The Company’s employees operate on six continents and bring technology and humanity together to deliver happy customers and differentiated business results. To learn more, visit https://ttec.com.



Media Contact:
Meredith Mathews
meredith.matthews@ttec.com

FAQ

What did the August 17, 2026 TTEC (TTEC) study reveal about AI-driven cost reductions?

The study found none of the 150 CX and IT leaders achieved meaningful AI-driven cost reductions. According to TTEC, about two-thirds of respondents actually reported rising operational costs, highlighting a gap between widespread AI adoption and realized financial returns in current operating models.

How widely is AI adopted among organizations surveyed in the TTEC Digital 2026 CX study?

AI adoption is described as widespread and nearly universal among the 150 CX, contact center, and IT leaders surveyed. According to TTEC, the challenge is not adoption but converting AI usage into measurable ROI because of outdated operating models, fragmented data, and weak governance structures.

What operating model issues are blocking AI ROI according to TTEC (TTEC) research?

The research cites outdated, rigid operating models as a primary barrier preventing AI from delivering ROI. According to TTEC, only 1% of executives view their models as highly adaptive, and many are bolting advanced AI onto legacy structures that were not designed for continuous change.

Which governance and data challenges did the TTEC Digital AI readiness study highlight?

The study reports that only 29% of organizations consistently use a formal, cross-functional governance process. According to TTEC, 64% apply policies inconsistently, and while just 15% cite unreliable data, fragmented governance still undermines effective, well-controlled AI deployment across the enterprise.

What AI skills gaps did TTEC (TTEC) identify among CX and IT leaders?

The research found that 0% of respondents reported having no internal AI skills gaps. According to TTEC, 90% feel generally confident deploying AI, but high-performing teams retain internal ownership of AI strategy and governance while using external partners to speed technical delivery.

Where are organizations planning to invest in AI and CX by 2027 according to TTEC?

Organizations plan to focus less on new tools and more on proving business value. According to TTEC, top 2027 priorities are modernizing data foundations (43%), improving cross-functional coordination (41%), and connecting CX performance more directly to financial outcomes (38%).

How complex are tech stacks in the 2026 TTEC Digital customer experience study?

Tech stack complexity is high, with 60% of organizations using seven or more distinct platforms. According to TTEC, only 43% of leaders have high confidence tracking where AI is used across customer journeys, contributing to ungoverned automations and redundant tools in their environments.