EDITOR’S BRIEFING: The Brands Getting This Right Are Not Louder. They Are Better Organized.
The companies driving the discussion of artificial intelligence in 2026 are not the ones that make the most announcements. These companies have done something that none of the others has succeeded at: they have found a way to scale up the discussion beyond mere talk and into real results while retaining control.
Disney is embedding AI across five distinct business functions simultaneously. PepsiCo has declared its intent to become the first global enterprise operating as an agentic AI-first by the end of 2026.
Dell Technologies deployed its AI Factory with NVIDIA to more than 5,000 enterprise customers and reported its best enterprise AI quarter on record in Q4 2025.
None of them did it alone. None of them tried to.
This briefing examines the decisions and partnerships behind those outcomes, and why organizations still building in isolation are paying an increasingly visible price.
THREE BRANDS. THREE WAR ROOMS. ONE PATTERN.
Brand 1: Disney — From Content Factory to AI-Governed Creative Enterprise
Disney’s AI strategy is not one initiative. It has five concurrent workstreams: content creation and production, monetisation, workforce productivity, guest experiences, and enterprise operations. AI is embedded at the infrastructure level, not bolted onto individual workflows. ¹
The results are specific. Disney’s partnership with AI startup Animaj reduced animated episode production from five months to under five weeks. ² The Disney Select AI Engine, unveiled at CES 2025, delivered measurable results during the 2025 NBA
Playoffs and MLB opening weekend: highlight-feed watch time increased 28%, push notification click-through rates rose 31%, and ESPN app opens on game days grew 19% among targeted subscribers. ³
Under a December 2025 OpenAI licensing agreement, ChatGPT is now deployed company-wide, with OpenAI APIs building enhanced Disney+ subscriber experiences. Disney’s governance commitment is embedded in every workstream: AI keeps human creativity at the centre while protecting the value of intellectual property. That is a design requirement, not a press statement.
Brand 2: PepsiCo — From Pilot Purgatory to Agentic AI-First Enterprise
PepsiCo’s early AI challenge was recognisable: too many pilots, not enough production. EVP Athina Kanioura described the resolution in June 2025: give people room to experiment while maintaining a focused agenda on enterprise-wide generative AI capabilities critical to the company’s future. ⁴
The platform that emerged is PepGenX, integrated with Amazon Bedrock as part of a multiyear AWS agreement. PepsiCo has committed publicly to being agentic in every part of the business by the end of 2026. ⁵
Its operational AI partnership with Nvidia and Siemens on digital twins is producing documented outcomes: 20% improvement in throughput, near-complete design validation, and 10-15% reduction in capital expenditure. The system detects up to 90% of operational issues in simulation before reaching the warehouse floor. ⁶
The structural lesson: focus is a governance decision. The organizations that cleaned up their pilot portfolios fastest partnered with teams that had seen the same pattern across dozens of prior clients and could compress the time to discipline.
Brand 3: Dell Technologies — From AI Ambition to AI Outcomes at Scale
Dell’s own journey is its most credible proof point. AI server sales climbed from $10 billion in early 2025 to $25 billion in 2026. The AI Factory with NVIDIA now has more than 5,000 enterprise customers deployed. ⁷
Dell’s diagnosis of enterprise AI failure matches IBM and Gartner research: most enterprises do not have an ambition problem. They have an execution problem. Data availability and quality remain the top implementation challenges across every stage of AI maturity. ⁸
The statistics from Dell bear witness to the structural preference: 72% of IT decision-makers prefer a solution provider offering full-service AI rather than one-off applications. This approach is slower, more expensive, and more difficult to scale up. CEOs have seen productivity improvements of 20-30% and are asking all departments to follow suit. ⁹
What connects Disney, Dell, and PepsiCo is not the technology they chose. It is the governance discipline they built and the partner relationships they established before expecting production outcomes.
HOW TURING CLOSES THE GAP
The pattern across all three brands reflects exactly what Turing was built to deliver: not tools, not models, but the organisational infrastructure that makes enterprise AI production-ready.
Turing is trusted by 1,000+ enterprise clients, ranked #1 on The Information’s Most Promising B2B Companies list, and recognised by Forbes and Fast Company for innovation and excellence. ¹⁰ Leadership brings hands-on experience from Meta, Google, Microsoft, Apple, Amazon, McKinsey, Bain, Stanford, Caltech, and MIT.
Where most partnerships deliver a model, Turing delivers the full stack: data engineering, AI-native evaluation, governance architecture, compliance coverage across GDPR, HIPAA, and the EU AI Act, and human-in-the-loop oversight embedded from day one.
The AI Transformation Accelerator delivers validated AI capabilities and identifies ROI within 30 days. Talent integrates into existing client workflows immediately with zero disruption.
Proof point: A global automotive manufacturer used Turing’s engineering and evaluation teams to standardise AI-enabled SOPs across multiple workstreams, improving throughput, eliminating backlogs, and maintaining model behaviour within controlled governance bounds throughout. ¹¹
Proof point: A life sciences organisation used Turing’s proprietary audit capability across an AI-assisted regulatory workflow. When regulators requested model decision documentation, the organisation produced it within hours. Governance was built before the model went live. ¹¹
Through a partnership with HUMAIN, Turing is enabling an enterprise AI agent marketplace designed to help organizations discover, deploy, and scale AI agents across core business functions with governance embedded at the infrastructure level from the start.
KEY STATS
| Metric | Figure | Timeline | |
| AI use cases meeting full ROI expectations | 28% | Nov-Dec 2025 | |
| AI projects abandoned without AI-ready data | 60% | Through 2026 | |
| Disney animated production cycle reduction | 5 months to under 5 weeks | 2025 | |
| Disney ESPN highlight watch time increases | 28% | 2025 NBA and MLB | |
| PepsiCo throughput improvement via digital twins | 20% | January 2026 | |
| PepsiCo capex reduction via digital twin AI | 10-15% | January 2026 | |
| Dell AI Factory enterprise customers | 5,000+ | May 2026 | |
| Dell AI server sales growth | $10B to $25B | 2025-2026 | |
| IT decision-makers prioritising end-to-end AI providers | 72% | February 2025 | |
| Worker access to AI increases | 50% | Full Year 2025 | |
| organizations reporting productivity and efficiency gains | 66% | 2026 | |
| Turing enterprise clients | 1,000+ | 2026 | |
| Turing AI Transformation Accelerator delivery | 30 days | 2026 |
Sources: As per references shown above, Cyber Tech Intelligence Analysis
ANALYST TAKE
Disney, Dell, and PepsiCo are not winning because of better models. They are winning because they resolved the organisational, data, and governance prerequisites that most enterprises still treat as secondary concerns.
Each established structured partner relationships before expecting production outcomes, and each embedded governance into the deployment architecture before scaling.
Turing is purpose-built for exactly that role. AI-native talent, data engineering, evaluation frameworks, embedded compliance, and a 30-day ROI validation cycle address the precise failure points Gartner, IBM, and Deloitte identify as the primary constraints on enterprise AI value.
The organizations reporting outcomes like Disney, Dell, and PepsiCo in 2027 are making partner decisions today that embed governance, data readiness, and human oversight into the execution model from the start.
ACTION ITEMS
- Map your AI initiatives against three prerequisites: data readiness, governance architecture, and human oversight. Turing’s frameworks address all three within a structured 30-day engagement.
- Audit your pilot portfolio for focus. PepsiCo’s discipline is instructive. Turing’s solutions experts identify which use cases align with the highest business impact before scale decisions are made.
- Evaluate your AI partner against end-to-end capability. Dell’s data confirms 72% of IT leaders prioritize end-to-end providers. Turing delivers strategy, data engineering, talent, evaluation, compliance, and governance under one engagement model.
- Start the governance conversation before the deployment conversation. Disney’s governance-first commitment and Turing’s embedded audit frameworks reflect the same principle: governance is a design requirement, not an afterthought.
Ready to move from pilot to production? Visit turing.com to speak with a Turing Solutions expert today.
REFERENCES
- WDW News Today (2026). Disney Uses AI for Guest and Consumer Experiences, Productivity, and More. May 2026.
- Finviz News (2025). DIS OpenAI Partnership Boosts AI Footprint. December 12, 2025.
- DigitalDefund (2026). 10 Ways Disney Is Using AI: Case Study 2026.
- CIO Dive (2025). How PepsiCo Moves Past AI Pilot Purgatory. June 9, 2025.
- Marketing Interactive (2025). PepsiCo Goes Agentic AI-First by 2026. October 15, 2025.
- Supply Chain Magazine (2026). How PepsiCo Is Using AI to Transform Supply Chain Operations. January 9, 2026.
- SiliconAngle (2026). AI Factory Growth Drives Dell’s Enterprise AI Strategy. May 12, 2026.
- Dell Technologies (2026). Dell Technologies Closes the Gap Between AI Ambition and AI Outcomes. May 18, 2026.
- Dell Technologies (2025). From Strategy to Scale: How IT Services Fuel AI ROI. May 5, 2025.
- Turing (2026). About Turing.
- Turing (2026). AI in 2026: Five Projections Every Enterprise Must Prepare For. January 9, 2026.
- Gartner (2026). Gartner Says AI Projects in I&O Stall Ahead of Meaningful ROI Returns. April 7, 2026.
- Gartner (2025). Lack of AI-Ready Data Puts AI Projects at Risk. February 26, 2025.
- Deloitte (2026). The State of AI in the Enterprise 2026.
- IBM (2026). How to Maximize AI ROI in 2026. February 19, 2026.
