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The UBS Global Technology and AI Conference, brought together investors, visionaries, thought leaders and industry experts across the software, hardware, internet, and payment sectors to discuss the AI opportunity for investors.

Robots and agents. AI in physical systems. Data centers driving growth. These were just some of the themes shaping the dialogue at the conference.

Whether in sessions or client conversations, one question dominated: Are we in an AI boom or a bubble?

Watch the highlights to see what’s next.

How are Asia investors recalibrating AI and Tech expectations heading into the new year?

We did a pulse check at our UBS Global Technology and AI Conference where one theme stood out: AI demand remains strong, but with a sharper focus on sustainability and supply‑chain constraints as we head into 2026.

robotic arm

Contrary to the fear of AI replacing employees, many leaders are using the technology to radically augment their operations.

One food and beverage company refuses to create an AI department, arguing that it shouldn’t be a siloed function but a democratized tool. While many companies are scrambling to hire a head of AI, they’re taking the opposite approach: upskilling their workforce by encouraging hundreds of team members to dedicate half their time to AI-related projects. 

Similarly, film producers have found that audiences still crave the organic realism of a human performance. Instead of creating synthetic actors, they’re using AI to remove friction from the production process, such as using AI tools to map prosthetics onto actors, cutting out dozens of hours of makeup application.

Contrary to the fear of AI replacing employees, many leaders are using the technology to radically augment their operations.

Film producers have found that audiences still crave the organic realism of a human performance. Instead of creating synthetic actors, they’re using AI to remove friction from the production process, such as using AI tools to map prosthetics onto actors, cutting out dozens of hours of makeup application.

Moving lights on a road

The era of the generic global campaign or keyword search is ending.

Retail discussions are centering on the rise of agentic commerce: customer search behavior is transitioning from single items to complex, natural language scenarios (for example, "I’m hosting a dinner party for 10 people."). Retailers are adapting by shifting from product lists to solution-oriented experiences. 

"If the customer is finding real value here...then you have a decision to make about whether you want to lean in and engage or whether you want to step back."

Seth Dallaire, Walmart

In the same vein, the Coca-Cola Company, who has been notably transparent with its use of AI, is using generative AI tools to move away from spray-and-pray advertising. In doing this, the company has been able to localize its recent holiday campaigns, showing palm trees in Los Angeles and snowy skylines in New York. It’s a level of granularity that would have been cost-prohibitive in the past.

Retail discussions are centering on the rise of agentic commerce. Instead of searching for a single item, a customer might now ask an AI agent to "plan a dinner party for 10 people," requiring the retailer to provide a comprehensive solution rather than just a list of isolated products. 

This evolution toward complex, natural-language scenarios, one speaker noted, is forcing brands to rethink their visibility; if you’re not part of AI’s “consideration set” for these high-level queries, you risk being invisible, regardless of your physical footprint. 

"If the customer is finding real value here...then you have a decision to make about whether you want to lean in and engage or whether you want to step back."

Seth Dallaire, U.S. EVP, Chief Growth Officer, Walmart

In the same vein, the Coca-Cola Company, who has been notably transparent with its use of AI, is using generative AI tools to move away from traditional advertising. In doing this, the company has been able to localize its recent holiday campaigns, showing palm trees in Los Angeles and snowy skylines in New York. It’s a level of granularity that would have been cost-prohibitive in the past.

light flashing bridge

While much of the value of AI still lies in backend efficiencies, leaders are intentionally optimizing to improve the customer experience.

One of the world’s largest retail chains cites inventory accuracy as its top AI application. By keeping better tabs on its supply chain, it hopes to reduce customer frustration when items are missing from grocery deliveries.

Hollywood is seeing a similar revolution. AI is eroding the "capital moat" that once protected major studios. Now, independent filmmakers can produce studio-quality animation and visuals at a fraction of traditional costs. Industry vets predict another "Toy Story Moment,” where an AI-powered film made by a small team is so commercially successful that it disrupts the industry's economic model. 

“As these technologies get better, it allows not only studios to do more with less budget, but there’s a big opportunity for independent filmmakers.” 
 
Bryn Mooser, Founder & CEO, Asteria Film Co.

While much of the value of AI still lies in backend efficiencies, leaders are intentionally optimizing to improve the customer experience.

One of the world’s largest retail chains cites inventory accuracy as its top AI application. By keeping better tabs on its supply chain, it hopes to reduce customer frustration when items are missing from grocery deliveries.

Hollywood is seeing a similar revolution. AI is eroding the "capital moat" that once protected major studios. Now, independent filmmakers can produce studio-quality animation and visuals at a fraction of traditional costs. Industry vets predict another "Toy Story Moment,” where an AI-powered film made by a small team is so commercially successful that it disrupts the industry's economic model. 

“As these technologies get better, it allows not only studios to do more with less budget, but there’s a big opportunity for independent filmmakers.” 

Bryn Mooser, Founder & CEO, Asteria Film Co.

circuit board

Legacy companies are recognizing that they can no longer rely solely on internal R&D or Big Tech for innovation. When it comes to AI, some are taking a two-pronged approach to procurement.

For speed and innovation, one company scouts AI-native startups, using its brand clout to access tools before they hit the mass market. At the same time, the organization partners with established tech firms to deploy these solutions at scale.

This combination allows them to maintain their speed to market – a metric they value higher than cost savings – while ensuring the technology is robust enough to support their global operations.

 

Legacy companies are recognizing that they can no longer rely solely on internal R&D or Big Tech for innovation. When it comes to AI, some are taking a two-pronged approach to procurement.

For speed and innovation, one company scouts AI-native startups, using its brand clout to access tools before they hit the mass market. At the same time, the organization partners with established tech firms to deploy these solutions at scale.

This combination allows them to maintain their speed to market – a metric they value higher than cost savings – while ensuring the technology is robust enough to support their global operations.

 

lights on bridge

These unique approaches all demonstrate a clear shift: AI is reshaping how companies work, compete, and create. Those moving fastest aren’t chasing novelty; they’re embedding AI where it can remove friction, unlock precision, and amplify human capability. 

 

For leaders across industries, the question is no longer whether AI will transform their business, but how intentionally – and quickly – they’ll choose to guide that transformation. In the words of Pratik Thakar, VP and Global Head of Generative AI at the Coca-Cola Company: “There’s a danger of looking outdated in two months’ time. We have to keep evolving.”

These unique approaches all demonstrate a clear shift: AI is reshaping how companies work, compete, and create. Those moving fastest aren’t chasing novelty; they’re embedding AI where it can remove friction, unlock precision, and amplify human capability. 

For leaders across industries, the question is no longer whether AI will transform their business, but how intentionally – and quickly – they’ll choose to guide that transformation. In the words of Pratik Thakar, VP and Global Head of Generative AI at the Coca-Cola Company: “There’s a danger of looking outdated in two months’ time. We have to keep evolving.”


UBS conferences provide professional investors with a wide variety of opportunities to engage, from large scale global sector and country specific programs, to thematic investor days and direct access to companies through post conference 'on the ground' Research tours.

Attendance at UBS conferences is by invitation only. Please speak to your UBS representative for more information.

In case you missed it: Interviews on Bloomberg in 2024

Frank Keller, Founder and CIO, Talos Asset Management and Dan Murphy, Co-Head Distribution, Americas, Global Markets, UBS discuss investing in disruption.

Hear from Dmitry Shevelenko, Chief Business Officer, Perplexity AI and Natasha Motwani, Head of Private Market Sales, Americas, UBS on the AI opportunity.

Owen Jennings, Business Lead, Block and Timothy Chiodo, Equity Research Analyst for Payment, Processors and FinTech, UBS touch upon on the evolution of payments.

Dive deeper into what AI is doing for enterprise with Dinesh Nirmal, Senior Vice President, Products, IBM Software, and David Vogt, Equity Research Analyst for US IT Hardware and Networking, UBS.


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