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ARTIFICIAL INTELLIGENCE

An AI-native strategy firm

Global Advisors: a consulting leader in defining quantified strategy, decreasing uncertainty, improving decisions, achieving measureable results.

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Quantified Strategy

Decreased uncertainty, improved decisions

Global Advisors is a leader in defining quantified strategies, decreasing uncertainty, improving decisions and achieving measureable results.

We specialise in providing highly-analytical data-driven recommendations in the face of significant uncertainty.

We utilise advanced predictive analytics to build robust strategies and enable our clients to make calculated decisions.

We support implementation of adaptive capability and capacity.

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Thoughts

Podcast – The Real AI Signal from Davos 2026

Podcast – The Real AI Signal from Davos 2026

While the headlines from Davos were dominated by geopolitical conflict and debates on AGI timelines and asset bubbles, a different signal emerged from the noise. It wasn’t about if AI works, but how it is being ruthlessly integrated into the real economy.

In our latest podcast, we break down the “Diffusion Strategy” defining 2026.

3 Key Takeaways:

  1. China and the “Global South” are trying to leapfrog: While the West debates regulation, emerging economies are treating AI as essential infrastructure.
    • China has set a goal for 70% AI diffusion by 2027.
    • The UAE has mandated AI literacy in public schools from K-12.
    • Rwanda is using AI to quadruple its healthcare workforce.
  2. The Rise of the “Agentic Self”: We aren’t just using chatbots anymore; we are employing agents. Entrepreneur Steven Bartlett revealed he has established a “Head of Experimentation and Failure” to use AI to disrupt his own business before competitors do. Musician will.i.am argued that in an age of predictive machines, humans must cultivate their “agentic self” to handle the predictable, while remaining unpredictable themselves.
  3. Rewiring the Core: Uber’s CEO Dara Khosrowshahi noted the difference between an “AI veneer” and a fundamental rewire. It’s no longer about summarising meetings; it’s about autonomous agents resolving customer issues without scripts.

The Global Advisors Perspective: Don’t wait for AGI. The current generation of models is sufficient to drive massive value today. The winners will be those who control their “sovereign capabilities” – embedding their tacit knowledge into models they own.

Read our original perspective here – https://with.ga/w1bd5

Listen to the full breakdown here – https://with.ga/2vg0z
While the headlines from Davos were dominated by geopolitical conflict and debates on AGI timelines and asset bubbles, a different signal emerged from the noise. It wasn't about if AI works, but how it is being ruthlessly integrated into the real economy.

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Strategy Tools

PODCAST: Effective Transfer Pricing

PODCAST: Effective Transfer Pricing

Our Spotify podcast discusses how to get transfer pricing right.

We discuss effective transfer pricing within organizations, highlighting the prevalent challenges and proposing solutions. The core issue is that poorly implemented internal pricing leads to suboptimal economic decisions, resource allocation problems, and interdepartmental conflict. The hosts advocate for market-based pricing over cost recovery, emphasizing the importance of clear price signals for efficient resource allocation and accurate decision-making. They stress the need for service level agreements, fair cost allocation, and a comprehensive process to manage the political and emotional aspects of internal pricing, ultimately aiming for improved organizational performance and profitability. The podcast includes case studies illustrating successful implementations and the authors’ expertise in this field.

Read more from the original article.

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Fast Facts

Fast Fact: Great returns aren’t enough

Fast Fact: Great returns aren’t enough

Key insights

It’s not enough to just have great returns – top-line growth is just as critical.

In fact, S&P 500 investors rewarded high-growth companies more than high-ROIC companies over the past decade.

While the distinction was less clear on the JSE, what is clear is that getting a balance of growth and returns is critical.

Strong and consistent ROIC or RONA performers provide investors with a steady flow of discounted cash flows – without growth effectively a fixed-income instrument.

Improvements in ROIC through margin improvements, efficiencies and working-capital optimisation provide point-in-time uplifts to share price.

Top-line growth presents a compounding mechanism – ROIC (and improvements) are compounded each year leading to on-going increases in share price.

However, without acceptable levels of ROIC, the benefits of compounding will be subdued and share price appreciation will be depressed – and when ROIC is below WACC value will be destroyed.

Maintaining high levels of growth is not as sustainable as maintaining high levels of ROIC – while both typically decline as industries mature, growth is usually more affected.

Getting the right balance between ROIC and growth is critical to optimising shareholder value.

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Selected News

Quote: Jensen Huang – CEO, Nvidia

Quote: Jensen Huang – CEO, Nvidia

“The U.S. led the software era, but AI is software that you don’t ‘write’-you teach it. Europe can fuse its industrial capability with AI to lead in Physical AI and robotics. This is a once-in-a-generation opportunity.” – Jensen Huang – CEO, Nvidia

In a compelling dialogue at the World Economic Forum Annual Meeting 2026 in Davos, Switzerland, Nvidia CEO Jensen Huang articulated a transformative vision for artificial intelligence, distinguishing it from traditional software paradigms and spotlighting Europe’s unique position to lead in Physical AI and robotics.1,2,4 Speaking with World Economic Forum interim co-chair Larry Fink of BlackRock, Huang emphasised AI’s evolution into a foundational infrastructure, driving the largest build-out in human history across energy, chips, cloud, models, and applications.2,3,4 This session, themed around ‘The Spirit of Dialogue,’ addressed AI’s potential to reshape productivity, labour, and global economies while countering fears of job displacement with evidence of massive investments creating opportunities worldwide.2,3

The Context of the Quote

Huang’s statement emerged amid discussions on AI as a platform shift akin to the internet and mobile cloud, but uniquely capable of processing unstructured data in real time.2 He described AI not as code to be written, but as intelligence to be taught, leveraging local language and culture as a ‘fundamental natural resource.’2,4 Turning to Europe, Huang highlighted its enduring industrial and manufacturing prowess – from skilled trades to advanced production – as a counterbalance to the US’s dominance in the software era.4 By integrating AI with physical systems, Europe could pioneer ‘Physical AI,’ where machines learn to interact with the real world through robotics, automation, and embodied intelligence, presenting a rare strategic opening.4,1

This perspective aligns with Huang’s broader advocacy for nations to develop sovereign AI ecosystems, treating it as critical infrastructure like electricity or roads.4 He noted record venture capital inflows – over $100 billion in 2025 alone – into AI-native startups in manufacturing, healthcare, and finance, underscoring the urgency for industrial regions like Europe to invest in this infrastructure to capture economic benefits and avoid being sidelined.2,4

Jensen Huang: Architect of the AI Revolution

Born in Taiwan in 1963, Jensen Huang co-founded Nvidia in 1993 with a vision to revolutionise graphics processing, initially targeting gaming and visualisation.4 Under his leadership, Nvidia pivoted decisively to AI and accelerated computing, with its GPUs becoming indispensable for training large language models and deep learning.1,2 Today, as president and CEO, Huang oversees a company valued in trillions, powering the AI boom through innovations like the Blackwell architecture and CUDA software ecosystem. His prescient bets – from CUDA’s democratisation of GPU programming to Omniverse for digital twins – have positioned Nvidia at the heart of Physical AI, robotics, and industrial applications.4 Huang’s philosophy, blending engineering rigour with geopolitical insight, has made him a sought-after voice at forums like Davos, where he champions inclusive AI growth.2,3

Leading Theorists in Physical AI and Robotics

The concepts underpinning Huang’s vision trace to pioneering theorists who bridged AI with physical embodiment. Norbert Wiener, father of cybernetics in the 1940s, laid foundational ideas on feedback loops and control systems essential for robotic autonomy, influencing early industrial automation.4 Rodney Brooks, co-founder of iRobot and Rethink Robotics, advanced ’embodied AI’ in the 1980s-90s through subsumption architecture, arguing intelligence emerges from sensorimotor interactions rather than abstract reasoning – a direct precursor to Physical AI.4

  • Yann LeCun (Meta AI chief) and Andrew Ng (Landing AI founder) extended deep learning to vision and robotics; LeCun’s convolutional networks enable machines to ‘see’ and manipulate objects, while Ng’s work on industrial AI democratises teaching via demonstration.4
  • Pieter Abbeel (Covariant) and Sergey Levine (UC Berkeley) lead in reinforcement learning for robotics, developing algorithms where AI learns dexterous tasks like grasping through trial-and-error, fusing software ‘teaching’ with hardware execution.4
  • In Europe, Wolfram Burgard (EU AI pioneer) and teams at Bosch/ Siemens advance probabilistic robotics, integrating AI with manufacturing for predictive maintenance and adaptive assembly lines.4

Huang synthesises these threads, amplified by Nvidia’s platforms like Isaac for robot simulation and Jetson for edge AI, enabling scalable Physical AI deployment.4 Europe’s theorists and firms, from DeepMind’s reinforcement learning to Germany’s Industry 4.0 initiatives, are well-placed to lead by combining theoretical depth with industrial scale.

Implications for Industrial Strategy

Huang’s call resonates with Europe’s strengths: a €2.5 trillion manufacturing sector, leadership in automotive robotics (e.g., Volkswagen, ABB), and regulatory frameworks like the EU AI Act fostering trustworthy AI.4 By prioritising Physical AI – robots that learn from human demonstration, adapt to factories, and optimise supply chains – Europe can reclaim technological sovereignty, boost productivity, and generate high-skill jobs amid the AI infrastructure surge.2,3,4

References

1. https://singjupost.com/nvidia-ceo-jensen-huangs-interview-wef-davos-2026-transcript/

2. https://www.weforum.org/stories/2026/01/nvidia-ceo-jensen-huang-on-the-future-of-ai/

3. https://www.weforum.org/podcasts/meet-the-leader/episodes/conversation-with-jensen-huang-president-and-ceo-of-nvidia-5dd06ee82e/

4. https://blogs.nvidia.com/blog/davos-wef-blackrock-ceo-larry-fink-jensen-huang/

5. https://www.youtube.com/watch?v=__IaQ-d7nFk

6. https://www.youtube.com/watch?v=RvjRuiTLAM8

7. https://www.youtube.com/watch?v=hoDYYCyxMuE

8. https://www.weforum.org/meetings/world-economic-forum-annual-meeting-2026/sessions/conversation-with-jensen-huang-president-and-ceo-of-nvidia/

9. https://www.youtube.com/watch?v=bzC55pN9c1g

"The U.S. led the software era, but AI is software that you don't 'write'—you teach it. Europe can fuse its industrial capability with AI to lead in Physical AI and robotics. This is a once-in-a-generation opportunity." - Quote: Jensen Huang - CEO, Nvidia

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