Published September 24, 2026 • Sponsored by DXC Technology
As artificial intelligence fundamentally reshapes the modern business landscape, enterprise leaders find themselves under immense pressure to adapt. Marketers, technologists, and executives alike are being forced to rethink the fundamental tools, daily habits, and operational workflows that drive organizational innovation. Yet, much like previous generational technological revolutions—such as the advent of the commercial internet or the birth of mobile computing—adopting disruptive tools requires navigating a transitional phase of deep uncertainty before tangible enterprise value crystallizes.
In a wide-ranging discussion, Anthony Pappas, Chief Marketing Officer at DXC Technology, shared his insights on moving past the fear of the unknown, operationalizing artificial intelligence safely at a global scale, and the delicate balance between automation and human expertise.
Drawing parallels to the early days of the digital age, Pappas notes that apprehension is a natural human reaction to profound paradigm shifts. "Early in my career, I worked with companies building websites when Netscape was new, e-commerce was unproven, and the internet felt like the Wild West," Pappas recalls. "I remember people saying, ‘I’m never going to put my credit card on the internet.’ It sounds funny now, but I hear echoes of that fear when people talk about AI today."
1. Main Facts: The Reality of Enterprise AI Adoption
The integration of artificial intelligence into core business operations is no longer a futuristic hypothesis; it is an urgent operational reality. However, bridging the gap between isolated experimentation and production-grade enterprise deployment remains a major hurdle for global organizations.
- The "Customer Zero" Strategy: DXC Technology mandates an internal testing philosophy, deploying AI tools within its own operations first to identify friction points, security vulnerabilities, and workflow bottlenecks before releasing solutions to external clients.
- Strategic Ecosystem Partnerships: Moving away from single-vendor lock-in, DXC collaborates with multiple cutting-edge AI providers to tailor solutions to specific business challenges.
- The Anthropic Integration: A prominent example of this multi-partner strategy is DXC’s multi-year global alliance with Anthropic, designed to embed Claude into mission-critical infrastructure for some of the world’s largest banks, airlines, insurers, manufacturers, and government agencies.
- Massive Productivity Gains: Within platforms like DXC Oasis—an AI-driven environment for coordinating managed services—utilizing advanced LLMs like Claude has reportedly accelerated software development cycles by tenfold. In these workflows, the AI generates over 95% of the underlying code before it undergoes human review and refinement.
- The "Human+" Philosophy: Rather than viewing AI as a total replacement for human labor, DXC champions a "Human+AI" synergy, positioning technology as an amplifier of human capability, creativity, and strategic judgment.
2. Chronology: From the Wild West of the Internet to Agentic Workflows
To fully understand the current trajectory of artificial intelligence in the enterprise, it is vital to trace how technological waves have historically challenged and eventually transformed corporate culture.
- Late 1990s – The Dawn of E-Commerce: During the Netscape era, businesses grappled with digitizing basic operations. The primary barrier was not technical capability, but consumer and corporate trust—typified by widespread hesitation regarding online financial transactions.
- The 2010s – Cloud and Mobile Transformation: Enterprises shifted from localized legacy infrastructure to scalable cloud environments, teaching organizations the necessity of agile architecture.
- Early 2020s – The Generative AI Explosion: The sudden mainstream availability of generative pre-trained transformers sparked widespread corporate experimentation, characterized by isolated "proof-of-concept" projects and creative pilot programs.
- 2024 to 2026 – The Shift to Production-Grade Intelligence: The current era is defined by the demand for secure, governed, and resilient AI integration. Companies are moving past superficial chatbots toward "agentic workflows"—autonomous or semi-autonomous systems capable of executing complex, multi-step business processes. The recent alliance between DXC Technology and Anthropic in mid-2026 marks a turning point where frontier models are woven directly into mission-critical legacy systems.
3. Supporting Data and Metrics: Quantifying the AI Impact
Enterprise leaders cannot afford to rely solely on qualitative optimism; AI adoption must be backed by rigorous performance metrics and measurable business outcomes. Pappas emphasizes that running AI across global organizations requires production-grade infrastructure that is secure, resilient, and governed by robust frameworks.
Through frameworks like DXC’s Xponential Enterprise approach—which connects advanced technology with human operators and standardized processes—organizations can achieve unprecedented levels of speed, quality, and scale. The impact of these structured workflows is best illustrated by hard operational metrics:
- 10x Software Development Acceleration: By integrating Anthropic’s Claude model into DXC Oasis, software development velocity has increased tenfold.
- 95+ Percent Code Generation: In these optimized agentic workflows, advanced language models successfully generate more than 95% of the initial code base, leaving human engineers to focus on architectural review, security audits, and edge-case optimization.
- Drastic Compression of Creative Timelines: Historically, producing sophisticated enterprise-grade creative work required large specialized teams, extensive budgets, and elongated timelines. Today, cross-functional teams consisting of just three skilled professionals can achieve outputs that previously required dozens of contributors, fundamentally changing the economics of corporate communications and marketing.
4. Official Responses and Leadership Perspectives
At the heart of DXC’s strategic vision is a philosophy shaped by unexpected places. For Anthony Pappas, the foundational habits of discipline, anticipation, and teamwork were forged on the baseball diamond rather than in a corporate boardroom. Starting his baseball career at the age of four and playing through his college years, Pappas learned that success is rarely about having all the answers upfront.
"Sometimes, the biggest obstacle to innovation isn’t technology. It’s the way we’ve trained ourselves to work," Pappas explains. "Baseball taught me discipline and teamwork, but also how to listen, anticipate, and react. After a year as CMO, I’m convinced that innovation is driven less by having all the answers than by developing the habits that help us discover them."
Organizations that paralyze themselves by waiting for absolute certainty often fall behind. As Pappas notes, innovative enterprises resist the temptation to delay action until every variable is understood, intentionally carving out safe spaces for responsible experimentation.
Furthermore, Pappas warns against treating artificial intelligence as a superficial overlay on broken or outdated processes:
"You cannot lead an intelligence transformation from a PowerPoint deck. Putting intelligence into an old operating model does not automatically create a new organization. You have to change how people work."
Addressing the common corporate obsession with convoluted internal workflows, Pappas advocates for an outcome-oriented mindset. By asking fundamental questions—such as what the business is truly trying to achieve rather than how to manage the bureaucracy of finding it—enterprises can reclaim up to 90% of their operational time.
5. Broader Implications for the Future of Enterprise and Creative Work
The rapid integration of artificial intelligence carries profound implications for the future of work, the nature of human expertise, and the macroeconomic positioning of global enterprises.
Redefining Human Expertise
There is a persistent cultural anxiety that artificial intelligence will render human labor obsolete. However, leaders like Pappas argue the exact opposite: technology makes human expertise more valuable, not less.
While generative models and agentic workflows can produce fidelity and scale at unprecedented levels, human experience, intuition, and ethical judgment remain irreplaceable. A machine can generate code or draft creative assets in seconds, but it takes a seasoned human professional to discern exceptional work from mediocrity and align it with overarching corporate strategy. This underpins DXC’s "Human+AI" philosophy, which views automation as an amplification tool designed to elevate human potential.
The Shift to "Agentic" Operations
As AI transitions from static chat interfaces to dynamic agents capable of executing workflows across banking, insurance, aviation, and government sectors, the baseline for operational efficiency will shift dramatically. Companies that fail to institutionalize these tools will struggle to compete with leaner, highly automated competitors.
Cultivating an Innovation-First Culture
Ultimately, long-term success with artificial intelligence will not be dictated solely by who possesses the largest technology budget or issues the boldest press releases. According to DXC Technology, the true winners will be the organizations that make innovation a daily habit—those that remain curious, listen closely to market signals, and embrace operational uncertainty.
As Pappas aptly concludes, drawing on his athletic background:
"If baseball taught me anything, it’s that eventually someone is going to hit a line drive your way, but you have to be ready to make the play."
Partner insights and original commentary sourced from DXC Technology.
