2026 AI Adoption Report
The Adaptive Advantage:
Who’s Winning With AI and How
Published on October 13, 2026
As AI moves deeper into enterprise workflows, leaders need benchmarks that reveal not only whether investments are paying off, but also how transformation is being experienced across the workforce. Now in its fourth year, this unique, year-over-year study from Wharton Human-AI Research and GBK Collective tracks the evolution of AI adoption, ROI, agents, training, and workforce impact — and, for the first time, compares leaders’ perspectives with those of entry- and mid-level employees. Led by Jeremy Korst, Founder & CEO, Mindspan Labs, and Stefano Puntoni and Prasanna (Sonny) Tambe, faculty co-directors of Wharton Human-AI Research, the study highlights what separates widespread adoption from strong returns and deeply embedded change.
This year’s AI adoption study examines three markers of an adaptive organization: proving value, workflow transformation, and organizational alignment.
Waves 1 & 2 (2023–24): Exploration and Experimentation
Trial by early adopters gave way to formal experimentation as pilots spread across functions. Enthusiasm matured while scrutiny increased, pointing from excitement toward a search for ROI.
Wave 3 (2025): Accountable Acceleration
Regular usage became integrated into core operations, bringing skill enhancement but also fears of proficiency decline. Leaders embedded ROI metrics, invested in internal R&D, and tightened guardrails.
Wave 4 (2026): Success Through Transformation
Adoption is no longer the question. Employees largely report that AI is embedded in core operations and some workflows have been redesigned around it. While positive returns are near-universal, though, substantial ones are not. What separates organizations seeing real financial return is how completely they have integrated AI up and down the business: what they measure, how far they let AI act, and whether they have settled on an approach. This is the development our 2025 report anticipated: from “accountable acceleration” to “performance at scale.”
“Companies believe AI is going to transform their industries, but many are still asking it to prove itself by saving time. The companies seeing stronger returns are going further. They are redesigning workflows, putting clear ownership and governance in place, and measuring AI against outcomes that matter to growth.”
—Sonny Tambe, Professor of Operations, Information and Decisions at the Wharton School; Faculty Co-Director, Wharton Human-AI Research
Growth vs Efficiency
A growth mindset separates companies with strongly positive returns, yet the most common investment metric is time saved.
“Access to powerful AI is quickly becoming ubiquitous. The advantage comes from what an organization can do with it: redesign workflows, align leaders and employees, and translate AI into measurable business outcomes. That requires clear ownership, aligned leadership teams, empowered employees, and a much sharper understanding of the outcomes the organization is trying to achieve.”
—Jeremy Korst, Founder & CEO, Mindspan Labs; Lecturer at the Wharton School
Organizational Alignment
A substantial gap exists between management and more junior employees aligning on, understanding, and adhering to a cohesive AI strategy.
“Two-thirds of departments say they use AI agents, and only 17% let an agent complete a task without a person approving each step. Most companies are sitting in a supervised middle, paying for autonomy and then reviewing every action, and that is where returns are weakest.”
—Brian Smith, Executive Vice President of the AI, Cloud & Enterprise Technology Practice, GBK Collective
Key Takeaways: What Adaptive Organizations Do Differently
67% of enterprise leaders whose department meets all three components of transformational success report strongly positive ROI, as opposed to 19% of those that do not.
64% of departments reporting strongly positive ROI have changed their management structure because of AI, against 47% of those that have not — while reporting no more staff reductions or hiring freezes than anyone else.
58% of organizations with a newly designated CAIO report strongly positive ROI against only 8% with no such role; strongly positive ROI is at 50% among those standardized on a single approved AI platform as opposed to only 9% among those still experimenting.
35% of enterprise leaders tracking at least one growth measure report strongly positive ROI, against 13% of those tracking efficiency alone.
Where agents may take irreversible financial or legal actions, 29% of departments have transformed their workflows against 13% who allow agents more limited responsibilities; departments that monitor agents automatically have transformed at 24% against 9% who do not.
About This Report
It is the intent of the Wharton School and GBK Collective to annually produce an outlook on AI industry adoption. GBK led the inaugural study in 2023 alongside Wharton Professor Stefano Puntoni. In 2024, we began our joint study. Now in its fourth year, this repeated cross-sectional study is co-sponsored by Wharton Human-AI Research, part of the Wharton AI & Analytics Initiative at the Wharton School, University of Pennsylvania, and GBK Collective. Wharton Human-AI Research directs the research agenda, provides academic direction, and publishes the report; GBK designs the research instrument and sample, runs the study and analytics, and generates the insights.
