CES 2026 Quick Take: Physical AI, Ambient AI, and the Reality of Adoption

In this episode, Maribel Lopez, founder and principal analyst at Lopez Research, is joined by Julie Ask, founder of Ask Advisory, for a candid, unscripted conversation on what CES 2026 actually revealed about the state of AI.

Rather than focusing on flashy demos or speculative promises, Maribel and Julie examine where AI is delivering real value today—and where expectations are running ahead of reality.

Julie's bio

Julie is a prominent customer experience analyst, technology futurist, and digital product strategist who has advised hundreds of global brands on the impact emerging technologies (e.g., mobile, sensors, extended reality, networks, AI) can and will have on customer experiences. She actively works with enterprises and vendors to understand how technology and consumer trends will impact their business with a deep focus on customer engagement strategies.

For more than 25 years, her work has defined the evolution of consumer digital experiences and inspired brands to take action. Her combined background in engineering and business gives her a unique ability to help business leaders understand what is possible and leverage technology to drive business outcomes. She has appeared frequently on Bloomberg while her research has been cited by the Wall Street Journal, New York Times, Financial Times, and a breadth of marketing publications. She co-authored The Mobile Mind Shift book in 2014. She founded Julie Ask Advisory in 2024 to pursue her passion for helping business leaders understand the impact of AI on experiences.

Maribel Lopez reports live from AWS re:Invent 2025 in Las Vegas, unpacking why the AI experimentation phase is officially over. With statistics that say 95% of AI projects are failing and enterprise budgets tightening, 2026 demands production-quality AI—not more proof-of-concepts. This episode explores the critical shift from building agents to deploying them safely at scale.

Key Themes

The Reality Check (2025 Recap)

• MIT study reveals 95% AI project failure rate
• McKinsey and BCG document widespread implementation struggles
• Board-level AI initiatives now demand real ROI, not just innovation theater
• The POC gold rush is over—experimentation budgets are drying up

Agentic AI Grows Up The conversation has evolved from "can we build agents?" to "can we trust them in production?" Three critical roadblocks:

• Security & Orchestration: How agents interact without creating vulnerabilities
• Policy & Governance: Preventing rogue agents and establishing guardrails
• Observability: Real-time monitoring to ensure agents perform as intended

AWS re:Invent 2025 Highlights

Agent Core Improvements

• Enhanced policy frameworks defining agent boundaries and permissions
• Human-in-the-loop controls for high-stakes decisions
• Better cross-stack orchestration for multi-agent workflows

The Discoverability Problem

• AWS Marketplace now features natural language search
• Upload requirements documents instead of filling rigid forms
• AI-suggested prompts help non-technical users navigate complex decisions
• Smarter filtering for nuanced needs (performance vs. cost vs. compliance)

The Full-Stack Maturity

• Recognition that AI "takes a village"—no single vendor owns the entire stack
• Growing emphasis on open standards (A2A, MCP) for SaaS integration
• Tools designed for all skill levels, not just data scientists

Key Takeaway

Enterprise AI in 2026 isn't about doing more—it's about doing it right. The winners will be organizations that prioritize governance, observability, and practical deployment over flashy demos.

Host: Maribel Lopez
Recorded: AWS re:Invent, Las Vegas, December 2025
Follow-up: Stay tuned for next week's deep-dive episode with demos and vendor interviews

In this episode of AI with Maribel Lopez, Maribel sits down with Ian Bramson, Vice President of Global Industrial Cybersecurity at Black & Veatch, to explore the growing intersection between artificial intelligence and operational technology (OT) security.

From power grids and oil refineries to manufacturing plants, critical infrastructure systems are becoming increasingly connected—and therefore more vulnerable. Ian shares how Black & Veatch is helping industrial organizations rethink cybersecurity from the ground up, integrating protection early in the design and build process rather than bolting it on later.

Together, Maribel and Ian discuss the evolution of OT threats, the rise of AI in both defense and attack scenarios, and why cybersecurity must be seen as a core business function, not an afterthought.

🧩 Key Discussion Topics

1. The Evolution of Industrial Cybersecurity

• Ian’s unconventional career path—from Coca-Cola to futurist consulting with Alvin Toffler to leading cybersecurity initiatives.
• Why Black & Veatch launched its dedicated industrial cybersecurity practice and how it’s integrated across engineering, procurement, and construction (EPC).

2. IT vs. OT Cybersecurity: What’s the Difference?

• IT focuses on data protection; OT focuses on physical safety and uptime.
• The rising threat of cyber-physical attacks on power, water, and manufacturing systems.
• How the increasing connectivity of devices—from pumps to sensors to AI controllers—creates new risks.

3. Foundational Security: Basics Still Matter

• Start with asset inventory—knowing what you need to protect.
• Identify vulnerabilities and train your “human layer.”
• Build security in from day one instead of bolting it on later.

4. The Expanding Threat Landscape

• Why ransomware is still relevant but no longer the only concern.
• The growing risks of supply chain attacks, remote operations, and super dependencies (as seen in the CrowdStrike outage).
• How attackers are weaponizing AI to accelerate attacks—and how defenders can use AI for faster detection and response.

5. AI and OT: A Double-Edged Sword

• How AI is reshaping the attack surface for industrial systems.
• Why every company is already “in the AI game,” whether they realize it or not.
• The three layers of AI to consider: AI used in cybersecurity, AI inside your operations, and AI in the wild used by partners and adversaries.

6. The Biggest Misconceptions About OT Security

• The “myth of the air gap”—why physical isolation no longer guarantees safety.
• Common organizational blind spots: board confusion between IT and OT, fragmented responsibility, and lack of lifecycle thinking.
• The need for Cyber Asset Lifecycle Management (CALM) to ensure long-term resilience.

7. Building a Resilient Future

• Why early planning and a holistic approach are key to managing future risks.
• The importance of embedding security, governance, and ethics into every new AI or industrial project.