2026 Tech Industry Insights Report
Operational discipline is becoming a defining driver of performance across the tech industry.
How Tech Industry Leaders Are Navigating Today’s Environment
Tech industry leaders are operating in environments that are more interconnected and less forgiving than before. AI is accelerating work, cross-functional dependencies are increasing, and expectations around governance and execution continue to rise.
In our work with technology companies, the constraint is rarely ambition or ideas. It is that decision-making, operating models, and talent systems were not designed for the level of coordination and pace required today.
These dynamics are explored across three core trends shaping enterprise performance this year.
The Three Trends Shaping Enterprise Performance in 2026
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Enterprise Operating Model Discipline
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Building clarity, coordination, and execution discipline across increasingly complex enterprises.
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Operationalizing GenAI at Scale
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Moving AI from experimentation to a governed, measurable enterprise capability.
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Leadership & Talent Strategy for the AI Era
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Strengthening leadership readiness, role clarity, and organizational effectiveness as work evolves.
How Leaders Are Navigating This Shift
The patterns in this report are already showing up in how tech companies make decisions, scale AI, and manage increasingly complex work across the enterprise.
In this discussion, our leaders share what they’re seeing across the industry: where organizations are making progress, where they’re getting stuck, and what’s changing in how work actually gets done.
Trend 1
Enterprise Operating Model Discipline
As work becomes more interconnected, many tech companies are finding that their operating models haven’t kept pace with how the business actually runs. Cross-functional complexity, unclear ownership, and fragmented workflows are slowing execution in ways that are difficult to diagnose. Creating clarity in how work moves across the enterprise is becoming a defining driver of performance.
Trend 2
Operationalizing AI at Scale
AI investment is accelerating, but enterprise impact remains uneven. Many organizations are still working to move beyond pilots, struggling to embed AI into real workflows with the governance, data, and ownership required to scale. The challenge is no longer experimentation. It’s turning AI into a reliable, measurable part of how work gets done.
Trend 3
Leadership & Talent Strategy for the AI Era
As work evolves, expectations for leaders and teams are shifting just as quickly. Roles are becoming less defined, decision-making is more distributed, and leaders are being asked to guide teams through increasing ambiguity. Strengthening leadership, role clarity, and organizational alignment is becoming essential to sustaining performance.
Grounded in Experience Across the Tech Industry
These insights reflect what we’re seeing across technology organizations as they navigate increasing complexity, AI adoption, and pressure to execute more efficiently. The patterns outlined in this report are grounded in real work with leaders across the enterprise.
For organizations looking to go deeper, we offer executive briefings to walk through these trends and discuss how they may apply to your organization.
Explore the Tech Industry Insights Report
The Tech Industry Insights Report brings together our perspective on the forces shaping enterprise performance, grounded in real-world work with technology organizations.
What you'll walk away with:
- A clearer understanding of the operating challenges limiting execution today
- Insight into what it takes to move AI beyond pilots without introducing risk
- Leadership, talent, and organizational considerations shaping enterprise performance