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Leadership in the Age of AI-Driven Cyber Threats | DisrupTV Ep. 423

Leadership in the Age of AI-Driven Cyber Threats

What Boards, CEOs, and General Counsel Must Do Now

As organizations head into 2026, leadership is being tested by a perfect storm of AI acceleration, escalating cyber threats, geopolitical uncertainty, and regulatory complexity. In DisrupTV Episode 423, hosts R "Ray" Wang and Vala Afshar sat down with Ken Banta, Andre Pienaar, and Dr. David Bray to unpack what modern leaders—and boards—must do to stay ahead in an era of converged risk.

The message was clear: cybersecurity, AI strategy, and leadership capability can no longer be treated as separate conversations. They are deeply intertwined—and failing to address them holistically puts enterprises, governments, and societies at risk.

Why Cybersecurity and AI Budgets Must Rise Together

Andre Pienaar, CEO and founder of C5 Capital, opened with a stark reality: cyberattacks are becoming more sophisticated, faster, and increasingly AI-driven. Threat actors are no longer operating with manual tools; they are deploying automation, machine learning, and increasingly autonomous systems to exploit vulnerabilities at scale.

For boards and executives, this means a fundamental shift in investment strategy.

  • You cannot increase AI adoption without simultaneously increasing cybersecurity investment.

Andre emphasized that AI expands the attack surface just as much as it enhances productivity. Organizations deploying AI without upgrading security architectures are effectively widening the door for adversaries.

Key priorities include:

  • AI-enabled threat detection and response
  • Continuous monitoring of anomalous behavior
  • Security-by-design in all AI initiatives
  • Preparing now for post-quantum cryptography

AI-Augmented Defense: Humans and Machines, Together

Dr. David Bray, Distinguished Chair at the Stimson Center and CEO of LDA Ventures, reinforced that AI alone is not the solution—but neither are humans operating without it.

Cybersecurity success depends on augmented intelligence, where:

  • AI detects patterns of life and anomalies at machine speed
  • Humans provide context, judgment, and ethical oversight
  • Systems continuously learn from both human and machine input

David highlighted a sobering trend: ransom demands are increasing sharply, and AI-enabled attacks are lowering the cost and effort for bad actors. Defenders must respond with equal sophistication.

  • The future of cybersecurity is not human vs. machine—it’s human with machine.

Quantum Computing, Geopolitics, and the New Security Landscape

The discussion also explored the geopolitical implications of AI and quantum computing. Andre and David both stressed that quantum breakthroughs will eventually render today’s encryption obsolete, making post-quantum cryptography a near-term planning requirement—not a distant concern.

At the same time, AI policy and regulation are fragmenting globally. David argued that:

  • Cities and governments must collaborate to harmonize AI governance
  • Organizations need to compartmentalize AI experimentation while maintaining oversight
  • Leaders must understand which geopolitical “technology matrix” they are operating within

AI strategy is now inseparable from national security, economic competitiveness, and global alignment.

Leadership Under Converged Uncertainty

Ken Banta brought the conversation back to leadership fundamentals—at a time when uncertainty is no longer episodic, but constant.

He emphasized that self-awareness is now a core leadership capability, not a soft skill. Leaders must understand:

  • How their words and actions are interpreted
  • When to slow down versus accelerate decisions
  • How to build trust through consistency and transparency

Ken shared a powerful reminder: people don’t just follow strategy—they follow signals. In high-risk environments, leaders set the tone for ethical behavior, risk tolerance, and psychological safety.

The Critical Role of General Counsel in AI and Cyber Risk

One of the most compelling insights centered on the evolving role of the General Counsel (GC). Ken described GCs as:

  • The conscience of the organization
  • Key advisors on AI governance and cyber risk
  • Central to decision-making under uncertainty

As AI systems influence decisions at scale, GCs are increasingly responsible for ensuring:

  • Regulatory compliance
  • Ethical use of data and algorithms
  • Alignment between risk, innovation, and corporate values

Leadership today is no longer just about vision—it’s about judgment under pressure.

From Awareness to Action: What Leaders Should Do Next

A recurring theme throughout the episode was urgency. Talking about AI and cybersecurity is no longer enough—leaders must operationalize governance, preparedness, and accountability.

One proposed next step:

  • Create an AI checklist for boards covering cybersecurity, data handling, governance, and regulatory compliance.

This kind of structured approach helps boards move from abstract risk discussions to concrete oversight.

Final Thoughts: Leadership Is the Ultimate Security Layer

DisrupTV Episode 423 made one thing abundantly clear: technology does not fail in isolation—leadership does.

In an era defined by AI-driven threats, quantum disruption, and geopolitical tension, the most resilient organizations will be led by executives who:

  • Invest proactively in AI and cybersecurity together
  • Embrace human–machine collaboration
  • Build trust through self-awareness and transparency
  • Empower General Counsel and risk leaders as strategic partners

As Ken Banta concluded, leadership itself is the ultimate control system. And in a world of converged uncertainty, how leaders think, decide, and act will determine whether organizations merely survive—or truly endure.

Related Episodes

If you found Episode 423 valuable, here are a few others that align in theme or extend similar conversations:

 

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NRF 2026: Agentic AI commerce, frontline workers, customer experiences

Retailers are busy trying to figure out agentic AI driven commerce and keep frontline workers engaged so they can drive customer experience.

Those are the key themes from the National Retail Federation Big Show in New York City. Like previous years, the show features a parade of tech vendors pitching retailers on how to leverage the latest innovation. In 2026, that innovation is all about shopping agents, AI and employee experience.

Tech vendors, consumers and retailers are aligned on the idea that AI will drive buying journeys and experiences. According to IBM's Institute for Business Value in collaboration with the National Retail Federation (NRF), 72% of surveyed customers still shop in stores and 45% turn to AI for help.

Meanwhile, there's a renewed focus on frontline workers from the likes of Workday and UKG.

Here's a look at the news to know.

Agentic AI

Microsoft outlined its Copilot Checkout, which is designed to convert conversations into sales, and Brand Agents, which provide guidance to shoppers on a retailer's site.

The Microsoft effort is aimed at a shopping use case where a consumer is looking to compare products, make decisions and purchase within one window. Google, Microsoft, OpenAI and a bevy of others including Shopify and Paypal are looking to do something similar.

Ultimately, retailers will be embedded into the primary chat interfaces. At NRF, commerce players such as Etsy were supporting multiple efforts.

Microsoft's Brand Agents are designed to bring an in-store experience from an associate into a chat interface at this point. Brand Agents offer guidance but can also upsell and cross-sell. Brand Agents are built within Microsoft Clarity, which is an analytics tool to help merchants understand shopper behavior.

Accenture said it invested in Profitmind, which offers an agentic AI platform to help retailers automate decisions for pricing, inventory and platform. The two companies also inked a strategic pact.

Profitmind uses a network of AI agents to surface recommendations for pricing, inventory and promotions.

Manhattan Associates rolled out updates to its Manhattan Active Omni platform including three new AI agents. The agents include:

  • Store Associate Agent.
  • Contact Center Agent.
  • OMS Configuration Agent.

Manhattan also rolled out its Manhattan Active Point of Sale, which features a display where customers can view their carts in real time, enter loyalty information and get receipts.

Blue Yonder outlined updated AI agents for merchandise and assortment planning, allocation and replenishment and inventory operations.

More retail:

Frontline worker experiences

Workday announced a series of hospitality and retail customer wins including Alterra Mountain Company, Brookshire Grocery, Hungry Jack, and Zaxby's. The company also said that it integrated recently acquired Paradox and made it available through Workday's platform.

Paradox focuses on frontline worker engagement and connects candidates and employers.

Workday also outlined Workday Frontline Agent, which handles shift swaps and hour limits. The Workday Frontline Agent will be available in the Spring of 2026.

UKG demonstrated its Workforce Operating Platform and features such as UKG Rapid Hire, which compresses the time to hire, Dynamic Labor Management to address staffing gaps, UKG Frontline Worker Network and UKG Wallet to pay employees on demand.

The company also said Jetro Restaurant Depot saved $2 million in sourcing and onboarding costs with UKG Rapid Hire.

Customer experience

Technically, AI shopping agents impact customer experience, but here are a few notable in-store efforts. 

Stratavision, a computer vision company, launched its fitting room intelligence platform to help retailers optimize fitting room utilization.

The fitting room intelligence tools are tied into Consumer IQ, which analyzes customer paths and behaviors, aligns staffing to demand, increases engagement and lowers costs.

Denso is showcasing its Indoor Positioning System (IPS) to highlight how its automotive grade micro location technology can be used in retailing. Denso's IPS system is integrated with EPAM software to highlight retail media activations and personalized interactions and wayfinding.

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OpenAI doubles down on health, targets providers and patients

OpenAI is planning on being a healthcare industry AI player with the launch of OpenAI for Healthcare, a HIPAA-compliant version of ChatGPT for clinicians, just days after debuting ChatGPT Health for consumers.

The rollout of OpenAI for Healthcare makes it clear the company is betting that health is going to be a big vertical. OpenAI is looking to make ChatGPT a key tool on both sides of the healthcare equation. Anthropic has also launched Claude for Life Sciences and has embedded its models into healthcare workflows. Both model providers will compete and partner with healthcare efforts from multiple software and cloud vendors.

ChatGPT for Healthcare is rolling out with some major customers. In a blog post, OpenAI said AdventHealth, Baylor Scott & White Health, Boston Children’s Hospital, Cedars-Sinai Medical Center, HCA Healthcare, Memorial Sloan Kettering Cancer Center, Stanford Medicine Children’s Health and University of California, San Francisco (UCSF) will use ChatGPT for Healthcare.

OpenAI said healthcare providers have been tailoring OpenAI API to be HIPAA compliant. ChatGPT for Healthcare can help with serving up medical knowledge, admin work and personalize care. OpenAI provided sample prompts and use cases for ChatGPT for Healthcare.

ChatGPT for Healthcare includes:

  • GPT-5 models specifically built for healthcare and tested by physicians and benchmarked.
  • Citations for evidence retrieval to check sources.
  • Integrations with enterprise tools so healthcare providers align ChatGPT for Healthcare with policies, document repositories and best practices.
  • Templates for workflow automation for patient instructions, discharge summaries, clinical letters and authorizations.
  • Governance and access management based on roles.
  • HIPAA compliance. Content shared with ChatGPT for Healthcare isn't used to train models.

ChatGPT for Healthcare appears to have a better footing in the enterprise with big name customers already in the fold. It remains to be seen how ChatGPT Health fares with consumers.

Launched earlier this week to a small number of customers, ChatGPT Health is a dedicated experience where consumers can share medical records, data and wellness information. ChatGPT Health promises to keep conversations encrypted and isolated.

ChatGPT Health also integrates with Apple Health, Function and MyFitnessPal and will likely expand its roster of health apps in the future. OpenAI said that ChatGPT Health conversations won't flow over to regular chats. Ultimately, OpenAI sees ChatGPT Health as an advisor to prep consumers for doctor visits, improve nutrition and craft exercise programs. The service will even digest your lab results and point out what's important.

What could go wrong? Given that health is a primary use case for ChatGPT already, I didn't expect much wariness from health savvy consumers in my circle. Instead, the answers were unanimous with some form of "hell no." Biggest concern was sharing your data with OpenAI. Now this informal poll isn't scientific, but there will be some set of consumers that won't trust OpenAI's dedicated health service without some HIPAA-like promise.

Either way, ChatGPT for Healthcare may take care of patient usage. It'll just be a question of whether patients use OpenAI directly or indirectly.

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At CES 2026, humanoid robots are everywhere, but don't expect ROI to follow

At CES 2025, you really couldn’t avoid the humanoid hype. Humanoid robots were everywhere.

Nvidia CEO Jensen Huang shared the stage with a bunch of robots.

Huang said AI and robotics will go together and will advance the industry. He noted that there will be more than humanoid robots. “The next era for robotic systems is going to be robots, and these robots are going to come in all kinds of different sizes,” he said.

AMD CEO Lisa Su brought on Generative Bionics CEO Daniele Pucci. Generative Bionics is a spin-off of the Italian Institute of Technology. Humanoid robots were the ultimate in keynote crutches.

Pucci argued that AI can sense the world but robotics can enable it to experience it.

Boston Dynamics also introduced the latest version of its Atlas humanoid robot. CES 2026 was a parade of humanoids with a few even offering cleaning services. 

And now for the reality check via Constellation Research’s Chief Distiller Esteban Kolsky. In his recent newsletter designed for boards of directors, Kolsky dissed the humanoid construct for robots. Kolsky is clear that AI and robotics are going to combine and deliver enterprise value. 

But the humanoid form factor makes no sense. Kolsky said: “Let’s get the ugliest part of this out of here: humanoid robots are the worst possible path we can take. Despite Hollywood’s love of anthropomorphized animatronics, there are many deficiencies in human-shaped and look-alike robot.”

For starters, the human body isn’t efficient. If humans were starting from scratch we wouldn’t have engineered this system. Why spend billions trying to replicate (poorly in most cases) a human with a robot? In addition, humans don’t adapt well to new environments. Guess what? Humanoid robots don’t either.

Here’s a video of Kolsky riffing on humanoids.

 

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Snowflake acquires Observe, expands into telemetry data observability

Snowflake said it will acquire Observe to integrate observability tools into its platform.

With the move, Snowflake can extend into IT operations management software and keep their telemetry data within its AI Data Cloud.

According to Snowflake, the plan is to integrate its data and Observe's AI Site Reliability Engineer (SRE) to proactively head off production issues. Snowflake added that it will have one architecture based on Apache Iceberg and OpenTelemetry to manage the telemetry data for AI agents and adjacent applications.

Snowflake CEO Sridhar Ramaswamy said the complexity involved with AI agents and data applications means "reliability is no longer just an IT metric. It's a business imperative."

Key points include:

  • Observe Site Reliability Engineer (SRE) uses a unified context graph that will enable Snowflake to correlate logs, metrics and traces.
  • Telemetry data will be "treated as first-class data" in the Snowflake AI Data Cloud.
  • By combining Snowflake data and Observe's platform, enterprises won't have to rely on sampling and short retention windows to manage costs.
  • Terms of the deal weren't disclosed.

Here's a look at Observe's platform that will be connected to Snowflake.

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UserTesting buys User Interviews, eyes high-end human feedback loops

UserTesting, which provides customer experience insights, said it has acquired User Interviews, a platform for recruiting people for user and market research as well as AI training.

The move brings together two complementary companies that have multiple joint customers. UserTesting and User Interviews appeal to designers, researchers, product managers and marketers.

Terms of the deal weren't disclosed.

UserTesting provides an insights platform and a global general population network. User Interviews has a premium participant marketplace. UserTesting CEO Eric Johnson said the companies together will make it easier to recruit the right participants for feedback across multiple industries and research use cases. The combined offering will also be able to ground AI deployments, products, marketing and customer experience efforts with real human insights.

"By bringing UserTesting and User Interviews together, we’re creating the fastest and most reliable way for teams to understand their customers and make better, smarter decisions with confidence," said Johnson.

User Interviews CEO Basel Fakhoury said combining the company's panel capabilities with UserTesting's platform will be a win for enterprises and joint customers looking for customer insights.

The combined company reckons that it will have more reach, precise targeting and matching, proprietary fraud detection, scale and enterprise-grade trust.

Constellation Insights caught up with Johnson and Fakhoury to talk shop. Here are the takeaways.

The rationale behind the deal. Johnson said he has been meeting with customers since taking over as CEO in September 2024. The one feedback that kept coming back was to find the right participants to deliver the right feedback. "This acquisition is incredibly strategic. Our customers said the one thing they need is they need the right participants to get the feedback right," said Johnson. "They need the right human beings. In many cases, the customer actually wants a B2B professional. It could be a doctor, lawyer or developer. It's a really bespoke person and those people are not the easiest to find."

User Interviews had built a platform that can deliver those bespoke people. "What we're doing is we're bringing together the best overall customer insights company and general population panel with the best company on Earth to go out and find these hard to find people," said Johnson.

Johnson and Fakhoury began talking roughly a year ago about partnerships. Over time it became clear that customers and employees thought a merger made sense.

Finding the right panel participants. Fakhoury said User Interviews has built a platform that has a broad number of people with specific characteristics. To reach those people, email doesn't work. "SMB owners or doctors are generally not in these networks. If you get emailed to participate in a study, and then you don't get selected for that study, you're not going to apply to the next one. It's just not worth it," said Fakhoury. "We've invested in the matching algorithms so that when someone launches a project we send it to the people most likely to qualify. The participants end up trusting us. That matching technology is really our differentiation. We think about the participant experience. It's a virtuous cycle."

"We built this network and these flywheels that I think are really hard to reproduce, and that's allowed us to be very efficient at what we've done," added Fakhoury.

Feedback fatigue and delivering value. Johnson and Fakhoury both noted that the survey and feedback fatigue is real. That's why finding the right people, paying them and finding the right human fit matters so much. "I didn't come from customer insights before, but entering this market, what I realized is the value of this. This is actually really hard but it is the most important part to getting rich feedback, because if you don't have the right people, no matter how great your feedback mechanisms are, no matter how great your AI is, you have nothing. And so that's why, as a company, our business strategy is to do this part exceptionally well," said Johnson.

Johnson added that the human feedback loop is critical to AI. "You start with the quality of the data you put into it. Because we have the best ability to talk to the right humans, and we have the largest volume of customers generating this kinds of feedback, we are uniquely positioned to provide the best AI, whether it's AI summarization, whether synthetic feedback, or whether it's AI simulations," said Johnson.

Constellation Research’s take

Constellation Research analyst Liz Miller assessed the deal.

“On the surface, this is a masterclass in acquisitions: an emerging player with great technology, great product and great customers gets picked up by a bigger player that can immediately accelerate technology roadmaps thanks to the great technology. The combined company can immediately offer mutual customers greater flexibility and opportunity while simultaneously taking advantage of new customer opportunities. The fit feels obvious here.

Below the surface is where this acquisition gets interesting because as many have pointed out, we are in this age of AI where brands can and should access intelligence about the market, product, or customer in a moment. The problem remains that these insights systems are already running out of the data needed to continue to make contextual decisions well. We need new and more valued sources of insight. And we can’t wait for traditional focus groups or even modern paths to synthetic data to get the job done. We want and need humans in THIS loop. We can analyze all the data in the world with AI, but human-centric panels and opportunities for interview-based insights takes customer-driven decisioning to a whole new level. That’s what UserTesting + User Interviews can offer: accelerated access to humans to ensure that human-in-the-loop decisioning isn’t just possible, it's easy. “

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Epicor set final on-prem release dates for Kinetic, Prophet 21 and BisTrack

Epicor outlined its schedule of final releases for on-premise versions of Epicor Kinetic, Epicor Prophet 21 and Epicor BisTrack. Future versions of three enterprise resource planning (ERP) offerings will move to Epicor Cloud.

The company offers a set of ERP systems along with supply chain management, retail management, financial management, manufacturing execution and data management and analytics. Epicor has 23,000 customers, 4,600 employees and 2.3 million daily users.

According to Epicor, moving customers to cloud versions will deliver innovation, business agility and AI tools faster.

Vaibhav Vohra, President and Chief Product & Technology Officer at Epicor, said the final on-premise releases represent a milestone for the company and represent an inflection point in delivering cognitive ERP. "We will closely work with our customers every step of the way via Epicor Support, through our AI-powered Ascend with Epicor migration program, and with our industry-first innovations such as conversational ERP," said Vohra.

Epicor said that customers using on-premises versions of Kinetic, Prophet 21, and BisTrack will continue to receive support. After the final on-prem releases support will transition into Active Support followed by Sustaining Support. Epicor and its partners offer a series of migration tools and programs.

Here's a look at the timelines

Kinetic

  • Final on-premises release: 2028.1 tentatively scheduled January 2028
  • Active Support for release 2028.1 through December 31, 2029
  • Sustaining Support begins January 1, 2030

Prophet 21

  • Final on-premises release: 2028.1 tentatively scheduled May 2028
  • Active Support for release 2028.1 through June 30, 2029
  • Sustaining Support begins July 1, 2029

BisTrack

  • Final on-premises BisTrack Web Browser & API release 2028.1 tentatively scheduled July 2028
  • Active Support for on-premises BisTrack Web Browser & API release 2028.1 through June 30, 2029
  • Sustaining Support for on-premises BisTrack Web Browser & API release 2028.1 begins July 1, 2029
  • BisTrack Desktop final release 2026.2 tentatively scheduled December 2026
  • Active Support for BisTrack Desktop through December 31, 2028
  • Sustaining Support for BisTrack Desktop begins January 1, 2029
  • BisTrack UK 3.9 (2017): Active Support through December 31, 2026; Sustaining Support begins January 1, 2027

 

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AMD previews Instinct MI500 GPUs, physical AI, Helios integrated racks

AMD teased its Instinct MI500 GPUs, which will launch in 2027, gave an early look of its Helios rack scale platform and touted the need for yotta-scale infrastructure.

Yotta-scale represents an expansion from today's 100 zettaflops of global compute capacity to more than 10 yottaflops. Think 24 zeroes and 10,000 more compute available than 2022.

AMD CEO Lisa Su during her CES 2026 keynote aimed to position the company as an effective counterweight to Nvidia with reach into AI infrastructure, physical AI and robotics and edge use cases including AI PCs. Su featured a host of customers including OpenAI, Blue Origin, Generative Bionics and AstraZeneca to name a few.

The news that got the most attention was the Instinct MI500 GPUs as AMD needs to keep up with Nvidia's annual cadence. The Instinct MI500 GPUs provide 1000x more AI performance than the MI300x GPUs built in 2023. AMD's Instinct MI500 GPUs are built on AMD's next-gen CDNA 6 architecture and 2nm process technology.

"The MI400 series was a major inflection point in terms of delivering leadership training across all workloads, inference, scientific computing," said Su. "But we are not stopping there. Development of our next-gen MI500 series is already well underway."

AMD also positioned itself as a full-stack AI provider with the early look of Helios, which includes 3 exaflops in a single rack. Helios, the product of the ZT Systems acquisition, features MD Instinct MI455X accelerators, AMD EPYC "Venice" CPUs and AMD Pensando "Vulcano" NICs for scale-out networking. The processors are integrated with AMD's open ROCm software.

The company highlighted AMD Instinct MI440X GPU, which is designed for on-premises enterprise AI deployments used for training, fine-tuning and inference in an eight-GPU system.

Su's keynote at CES 2026 did what it had to do--position AMD as a viable alternative to Nvidia's dominance. Here's a look at the key news from AMD at CES 2026.

AMD outlined Ryzen AI Embedded processors, a portfolio of embedded x86 processors for AI edge applications. The portfolio, including AMD's new P100 and X100 Series processors, is designed for everything from automotive cockpits, healthcare and physical AI and robots. Su aimed to position AMD well for physical AI and robotics, which are the main theme at CES 2026. She said:

"At AMD, we spent more than two decades building the foundation of physical AI today. We're doing it together with a broad ecosystem of partners. Physical AI is one of the toughest challenges in technology. It requires building machines that seamlessly integrate multiple types of processing to understand their environment, make real time decisions and take precise action without any human input, and all of this is happening with no margin for error. Delivering that kind of intelligence takes a full stack approach."

The company expanded its AI PC portfolio including AMD Ryzen AI 400 Series and Ryzen AI PRO 400 Series processors.

Ryzen AI Max+ 392 and Ryzen AI Max+ 388 are processors designed for on-device AI compute with the ability to support models up to 128-billion parameters and 128GB unified memory.

AMD also launched the Ryzen AI Halo Developer Platform, available in the second quarter, to bring AI development to a desktop PC. The developer platform is AMD's first branded effort for AI developers.

AMD announced AMD ROCm 7.2 software for Windows and Linux.

Constellation Research's take

R "Ray" Wang, founder and CEO of Constellation Research, speaking to Bloomberg outlined significance of physical AI as the next trillion-dollar market opportunity. He said Nvidia's early release of Vera Rubin chips is a game-changer that accelerates timelines. 

Wang views Nvidia as more than a GPU player, but a full-stack ecosystem vendor that includes chips, software, and device partnerships. 

When comparing rivals:

  • Nvidia is currently dominating the GPU market.
  • AMD is positioned as a competitor launching new GPUs and looking to provide more efficient chips with wider availability. Wang expects AMD to showcase partnerships in the data center space as an alternative to Nvidia.
  • Intel is seen as a more state-sponsored approach, focusing on manufacturing in the US.

Data to Decisions Tech Optimization AMD Chief Information Officer

Monday's Musings: Davos 2026 - In A Spirt of Dialogue, Conversation Starters For Debate (Part 1)

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World Economic Forum's 2026 Theme Centers Around "A Spirit of Dialogue"

Another year, another Davos.  With 3000 official and 5000 unofficial attendees at UnDavos and a host of amazing side events, the beginning of the year marks a rite of passage for the C-Suite.  While convening high above the Swiss Alps, these global leaders will "talk" about the state of world affairs and economy, Many skeptics wonder if real dialogue will be had. 

Good news -  this year's World Economic Forum's 2026 Theme Centers Around "A Spirit of Dialogue".  Per theme, official discussions are centered around five key global challenges:

  1. Cooperation in a contested world;
  2. Unlocking new sources of growth;
  3. Investing in people;
  4. Deploying innovation responsibly; and
  5. Building prosperity within planetary boundaries.

Taking a Constellation Research futurist point of view (POV), let's apply a PESTEL framework to these themes and provide some conversation starters for provocative points of view and the authentic dialogue much needed at Davos.  We'll start with the first three (i.e. PES) and continue (TEL) in Part 2.

Politics

1. Can we fight the scourge of socialism and prove that capitalism is still the best system?

A recent survey by the Cato Institute and YouGov paints a troubling picture: 62 percent of Americans aged 18–29 say they hold a “favorable view” of socialism, and 34 percent say the same of communism. This is shocking given that communism is responsible for 100 million deaths worldwide and is rooted in socialism, the same philosophy that spawned both Mussolini’s fascism and Hitler’s National Socialism. To favor socialism is to flirt with tyranny.

The poll did not define “socialism.” So, it’s unclear whether the respondents view it in the historical way, where the state owns the means of production, or if they see socialism as a modern-day “mixed economy” with cradle-to-grave welfare, price controls, and “fairness” enforced by the state.

What can be done to educate younger generations on the dangers of a mixed economy which Ayn Rand and Ludwig Von Mises warned future generations about?

2. In 2026 and beyond, will countries and companies have to choose a side between China vs US?

As the United States and China intensify their competition on the political, economic, technology, and military scale it seems inevitable that the deepening rivalry creates a mutually exclusive relationship when strategic alignment with one power will come at the expense of deeper ties with the other.  With the impact of Tariffs and the US "Donroe" doctrine in place, nation states must factor in the ripple effects in geopolitics.

While many nations and companies prefer not to choose, what can be done to navigate between security ties and economic relationships?  Is strategic autonomy even an option with countries trying to reap benefits from both sides without any consequences from either great power notes a (Chatham House Sept 2025) article?

3. When will dollar dominance wane and will BRICS replace "king" dollar?

With over 90% of foreign exchange transactions using the dollar, the dollar remains king in international trade and is a core reserve currency.  The dollars liquidity, convertibility, and stability has led to its dominance in global reserves.  However the share has been falling with 71% in 2001 to about 58% in the past few years.  BRICS have increased bilateral trade in local currencies with Russia and China using the yuan and India buying oil in rupees to bypass the US Dollar.  

 

The IMF predicts that by 2028 the BRICS+ block will represent 38% of global GDP.  In addition, India and China have been adding to their gold reserves as a way to diversify from the US Dollar.  What factors will lead to BRICS dominance and dollar decline or will the dollar remain "King"?

Economics

1. What will be the economic costs and benefits in the Battle for AI dominance?

Constellation predicts over $6 trillion will be invested in AI Infrastructure by 2030 with annual budgets exceeding $1.5 trillion.  The massive capital expenditures for chips, data centers, energy grids, water resources, and additional green house gas emissions will place a massive economic cost. The likely winner-takes-all scenarios for AI dominance favors tech giants with deep pockets and sovereign nations such as the Kingdom of Saudi Arabia (KSA). In KSA's case they will enter a metamorphical transition from energy dominance to compute dominance.  With a widening AI gap between resource heavy nations and resource constrained nations, will the benefits outstrip the costs?  Should one entity achieve artificial general intelligence (AGI) or Artificial SuperIntelligence (ASI) before another, what will the resulting economic impact mean for business models?

2. Can the West compete with China's energy advantage? 

The average price of electricity is $0.25 kWh for Europe, $0.15 kWh for the US, and $.08 kWh for China.  With a 2X to 3X advantage, China's rapidly moving to $0.04 kWh given the massive state backed investments in energy infrastructure from coal fired plants, to renewable energy.  China added almost 400 GW of Solar and Wind in 2025, 10 new nuclear reactors with 60GW, and 80 GW of coal fired electric capacity.  Furthermore, advancements in Ultra-High Voltage (UHV) technology (1000kV AC and ± 800kV DC) allows for minimal transmission losses of 1.5-3% per thousand kilometers.  Given the faux pax in green initiatives of the West which have driven up costs, created inflation, and left countries helpless to economically compete, what will the West do to catch up?

3. Will today's banking system be relegated to the past with the growing black market trade on chain?

Many predict that global trade will leave publicly transparent financial systems for shadow markets built on the blockchain.  Constellation sees the user facing layer of the crypto economy growing with the rise of stablecoins and tokenized assets.  With over $250 billion in nmarket cap for Us dollar-pegged coins, the future is pretty clear.  IN 2024, these US dollar-pegged coins moed $27.6 trillion in volume, which is more than Mastercard and Visa combined. What is the future of a value exchange and trading system no longer controlled and regulated by state actors and international regulators?

Societal

1. What will humanity's purpose be in an AI Age?

How will humanity's purpose evolve as AI advances? With AI and automation promising ambient to automated experiences, the nature of work the meaning of human existence is at a juxtaposition between a world pre AI and post AI.  Will AI improve the human condition or will it worsen the human condition?  What will AI advance that humans cannot and what will humans advance that AI can not? 

Note: Catch the session Tuesday January 20th at 11:30 am to 1:30 pm Cognizant House Promenade 68. Register here.

2. How will population dynamics impact the future social order and create demographic divides?
 
The United Nations (UN) projects a peak global population around 10.3 billion in the 2080s, followed by a slight dip to 10.2 billion by 2100. In almost every projection, India will become the world's most populous country peaking in 2061 and then gradully declining while China's population will fall sharply by 2100.  Africa will drive global growth with countries such as DRC, Ethiopia, Nigeria, and Tanzania contributing to sharp rises in population  The United States is expected to remain flat to very slow growth.  By the mid 2030s, the number of 80+ will outnumber the number of infants.  IN 2080, the number of people over the age of 65 will outnumber the children under 18. 
 
Constellation expects gaps in social, economic, and population health outcomes between nations due to population dynamics such as varying birth/death rates, fertility trends, age structures (young versus old).  As countries move from high birth rates to low ones, societal structures, social security systems, labor, and healthcare will face new constraints.  For example, birth rates are 1.6 in Europe and North America while Sub-Saharan Africa has high birth rates in the 4.3 to 4.5. will require governments to invest more in healthcare, education, and housing infrastructure.
 
Will aging societies make the shift in resource allocation from housing, education and childcare to more healthcare, technology automation, and aging population infrastructure?  Will rapidly growing younger populations be able to invest for the future? What will immigration policies look like in this new world order?  Can countries with aging populations use humaniod robots to replace their labor force in time?
 
3. Will higher education continue as we know it?
Higher education faces a confluence of demise from declining undergraduate enrollment, shrinking student populations, rising costs, lack of public trust, and questions of value and ROI.  The bifurcation between top-tier colleges and less elective colleges without a path to jobs will continue to widen.  The demographic cliff is the most significant factor as credential inflation and skill gaps increase as rising tuition and a weakened job market shifts the future of episodical education to a future of life long learning. 
 
Given the trillions of dollars of future investment in data centers, precision manufacturing, energy infrastructure, and construction, many believe skilled trades will outperform the investment in higher education,.  With faster earnings, lower debt, greater job security, and wealth creation, demand for vocational training may create a fundamental shift in learning for the next few decades.  Will higher education be the riskier bet in the future and skilled trades replace the "traditional" path to future financial and career success?
 

The Bottom Line: Are You Really Ready For Some Honest and Authentic Dialogue?

The public Davos panels and keynotes have often been an overscripted, highly sanitized, corporate communications by committee, public relations driven event.  Meanwhile, the private meals and smaller group events have been the source of insightful conversations and relationship building.  Maybe in 2026, we can flip th script and just cut to the chase and have real dialogue.  Will you be that force for change?

Your POV

It's that time of year.  Will the elites actually have something useful to say this year or will it be another year of muckety mucks pontificating about useless issues?  Will America 250 change the dialog?

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Nvidia touts Rubin platform production, hardware advances

Nvidia said its Rubin platform is in full production as it rolled out a series of hardware updates at CEO Jensen Huang's CES 2026 keynote.

Huang said the Rubin platform will offer an integrated hardware and software stack that will provide a 10x reduction in inference token costs and a 4x reduction in the number of GPUs needed to train foundational models relative to Nvidia's Blackwell platform.

The company also noted that Microsoft's next-gen Fairwater AI factories will feature Nvidia Vera Rubin NVL72 rack systems with CoreWeave being among the first to offer the latest platform.

Huang's keynote walked through a lot of backstories for Vera Rubin and its various networking and storage components. "Vera and Rubin are co designed from the start to bi directionally and coherently share data faster and with lower latency," said Huang.

Here's what you need to know about Nvidia's hardware announcements:

  • Nvidia's Rubin platform uses "extreme codesign" across six chips including Vera CPU, Rubin GPU, NVLink 6 Switch, ConnectX-9 SuperNIC, BlueField-4 DPU and Spectrum-6 Ethernet Switch.
  • Adoption of the Rubin platform is broad with most AI labs and cloud providers on board.
  • Huang outlined Nvidia BlueField 4, which is behind the Nvidia Inference Context Memory Storage Platform, an AI-native storage system for inference.
  • BlueField 4 is designed for long-context processing agentic AI systems.

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