Section 1
Section 4
The high-tech industry has made significant strides in AI maturity, investing in the infrastructure, alignment, and operational capabilities needed to scale the technology across the enterprise. But many organizations have not yet translated that maturity into customer-facing and buying-group experiences. The next phase of growth will come from extending AI beyond internal workflows into the buying journeys that drive strong customer engagement and GTM outcomes.
This overview explores the Adobe 2026 AI and Digital Trends findings across three critical areas for high-tech organizations: operationalizing AI at scale, building toward agentic B2B engagement, and overcoming the barriers to measurable GTM impact.
Section 1
The high-tech industry has moved beyond AI experimentation into execution, using AI to automate internal workflows and drive efficiencies across the business. As organizations look to scale the next generation of agentic experiences, interoperability is emerging as a critical enabler of customer engagement.
Section 2
High-tech organizations have built a strong foundation for generative AI, investing in the data and connectivity needed to scale the technology across the enterprise. Realizing the next wave of value will require extending that foundation to agentic AI — tailoring it to specific audiences and enabling coordinated engagement across increasingly complex buying groups.
expect agentic AI to coordinate sales, marketing, and service journeys in real time.
use generative AI and LLM search insights to understand buyer behaviors and map roles, influence, and engagement.
plan for a future where buyer journeys include agent-to-agent interactions.
Section 3
The high-tech industry’s operational AI maturity has yet to translate into tangible customer impact and proven returns. Closing that gap will require clearer ROI measurement frameworks and broader customer-facing deployment.
Expected uses of agentic AI within the next 18 months:
Section 4
Organizations that pair this expansion with value measurement will turn today’s AI maturity into durable impact. Here are the top three action items for high-tech organizations:
Direct data-unification and connectivity investments toward coordinating sales, marketing, and service across buying groups in real time. This orchestration is how generative AI’s groundwork becomes agentic AI’s launchpad.
Build frameworks that connect AI investment to GTM outcomes. Demonstrating returns through customer impact and tangible revenue growth will sustain executive support for the next wave of agentic investment.
Build on proven operational strengths in orchestration and workflow automation to close gaps in customer-facing agentic deployment. Focus first on the buying group and service journeys with the most untapped potential.
For Adobe’s 16th annual AI and Digital Trends research, Oxford Economics, in partnership with Adobe, conducted global surveys of 3,000 executives and practitioners and 4,000 consumers to better understand how organizations are leveraging AI to capture customer interest, build brand loyalty, and augment customer experience (CX) workflows — and how customers are responding to these changes. The surveys were fielded online and via computer-assisted telephonic interviewing (CATI) from October through November 2025. “High tech” refers to a global set of executives and practitioners from organizations in the high-tech industry. This group makes up 17% of respondents and represents a wide range of business sizes. “B2B organizations” refers only to B2B and B2B2C organizations within the high-tech industry. View the 2026 AI and Digital Trends report for more on the full research methodology.
