ARTIFICIAL INTELLIGENCE
An AI-native strategy firmGlobal 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.
Our latest
Thoughts
Global Advisors’ Thoughts: Leading a deliberate life
By Marc Wilson
Marc is a partner at Global Advisors and based in Johannesburg, South Africa
Download this article at https://globaladvisors.biz/blog/2018/06/26/leading-a-deliberate-life/.
Picket fences. Family of four. Management position.
Mid-life crisis. Meaning. Purpose.
Someone once said that, “At 18, I had all the answers. At 35, I realised I didn’t know the question.”
Serendipity has a lot going for it. Many people might sail through life taking what comes and enjoying the moment. Others might be open to chance and have nothing go right for them.
Some people might strive to achieve, realise rare successes and be bitterly unhappy. Others might be driven and enjoy incredible success and fulfilment.
Perhaps the majority of us become beholden to the momentum of our lives.
We might study, start a career, marry, buy a dream house, have children, send them to a top school. Those steps make up components of many of our dreams. They are steps that may define each subsequent choice. As I discussed this with a friend recently, he remarked that few of these steps had been subject of deliberations in his life – increasingly these steps were the outcome of momentum. Each will shape every step he takes for the rest of his life. He would not have things any other way, but if he knew what he knows now, he might have been more deliberate about choice and consequence…..
Read more at https://globaladvisors.biz/blog/2018/06/26/leading-a-deliberate-life/
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Strategy Tools
Strategy tools: Effective transfer pricing
So much has been written about transfer pricing. Yet it remains a bone of contention in almost every organisation. Transfer pricing is not merely a rational challenge – it often raises the emotions of internal service users and providers who argue regarding scope, quality, price and value.
We have found that effective transfer pricing relies on some fairly simple best practices and critical success factors.
Many organisations recover costs as a regular ‘below-the-line’ deduction from operating division income statements. In our experience, charge out is almost always preferable. This results in internal value judgements and negotiation regarding delivery happening closer to time of use.
We have typically seen that the realisation that internal pricing plays this role and the consequences of poor implementation are not well understood.
Results of poor transfer pricing implementation
Sub-optimal economic use decisions
Where costs / prices are higher than they should be, buyers pass this on as an inflated cost to their customers, experience margin squeeze, or utilise less of the service than they might have.
Strategically this can lead to incorrect decisions regarding the provision of services to the market and loss of market share.
Where costs / prices are lower than they should be, this can lead to overuse of a product or service and poor cost recovery from external customers.
Strategically this can result in the over promotion and sales of products and services that are achieving lower margins than thought, or that might even be making losses.
Sub-optimal investment and resourcing decisions
Incorrect pricing can lead to over- or under-investment in capacity and product or service quality. Further, the resourcing decisions will be incorrect should the price signal to the supplier be incorrect.
Political and emotional argument
Where buyers are unable to obtain assurance that an internal price is correct, there is typically resentment regarding the cost of the internal product and service and the sheltered position employees of the internal service provider occupy – in the buyer’s eyes free from commercial pressures.
Buyers and suppliers typically also argue regarding the quality of the service or product relative to the price paid.
Suppliers may react to criticism claiming their product or service is strategic in nature and refute its availability in the external markets.
Poor product / service quality
Poor price signals will result in lack of comparable product and service quality benchmarks. This can result in ‘gold-plating’ or poor-quality product and service provision.
Read more at https://globaladvisors.biz/2021/01/06/strategy-tools-effective-transfer-pricing/
Fast Facts
Fast Fact: The rate of technology adoption exploded in the 1990s
The 1990s were an inflection point in the adoption of new technologies. While radio showed fast adoption in the 1920s, new technologies introduced post 2010 had reached penetrations of more than 30% of the United States population within 3 years from launch. PCs...
Selected News
Quote: Andrew Ng – AI guru, Coursera founder
“There’s one skill that is already emerging… it’s time to get everyone to learn to code…. not just the software engineers, but the marketers, HR professionals, financial analysts, and so on – the ones that know how to code are much more productive than the ones that don’t, and that gap is growing.” – Andrew Ng – AI guru, Coursera founder
In a forward-looking discussion at the World Economic Forum’s 2026 session on ‘Corporate Ladders, AI Reshuffled’, Andrew Ng passionately advocates for coding as the pivotal skill defining productivity in the AI era. Delivered in January 2026, this insight underscores how AI tools are democratising coding, enabling professionals beyond software engineering to harness technology for greater efficiency1. Ng’s message aligns with his longstanding mission to make advanced technology accessible through education and practical application.
Who is Andrew Ng?
Andrew Ng stands as one of the foremost figures in artificial intelligence, renowned for bridging academia, industry, and education. A British-born computer scientist, he earned his PhD from the University of California, Berkeley, and has held prestigious roles including adjunct professor at Stanford University. Ng co-founded Coursera in 2012, revolutionising online learning by offering courses to millions worldwide, including his seminal ‘Machine Learning’ course that has educated over 4 million learners. He led Google Brain, Google’s deep learning research project, from 2011 to 2014, pioneering applications that advanced AI capabilities across industries. Currently, as founder of Landing AI and DeepLearning.AI, Ng focuses on enterprise AI solutions and accessible education platforms. His influence extends to executive positions at Baidu and as a venture capitalist investing in AI startups1,2.
Context of the Quote
The quote emerges from Ng’s reflections on AI’s transformative impact on workflows, particularly at the WEF 2026 event addressing how AI reshuffles corporate structures. Here, Ng highlights ‘vibe coding’-AI-assisted coding that lowers barriers, allowing non-engineers like marketers, HR professionals, and financial analysts to prototype ideas rapidly without traditional hand-coding. He argues this boosts productivity and creativity, warning that the divide between coders and non-coders will widen. Recent talks, such as at Snowflake’s Build conference, reinforce this: ‘The bar to coding is now lower than it ever has been. People that code… will really get more done’1. Ng critiques academia for lagging behind, noting unemployment among computer science graduates due to outdated curricula ignoring AI tools, and stresses industry demand for AI-savvy talent1,2.
Leading Theorists and the Broader Field
Ng’s advocacy builds on foundational AI theories while addressing practical upskilling. Pioneers like Geoffrey Hinton, often called the ‘Godfather of Deep Learning’, laid groundwork through backpropagation and neural networks, influencing Ng’s Google Brain work. Hinton, Ng’s former advisor at Stanford, warns of AI’s job displacement risks but endorses human-AI collaboration. Yann LeCun, Meta’s Chief AI Scientist, complements this with convolutional neural networks essential for computer vision, emphasising open-source AI for broad adoption. Fei-Fei Li, ‘Godmother of AI’, advanced image recognition and co-directs Stanford’s Human-Centered AI Institute, aligning with Ng’s educational focus.
In skills discourse, World Economic Forum’s Future of Jobs Report 2025 projects technological skills, led by AI and big data, as fastest-growing in importance through 2030, alongside lifelong learning3. Microsoft CEO Satya Nadella echoes: ‘AI won’t replace developers, but developers who use AI will replace those who don’t’3. Nvidia’s Jensen Huang and Klarna’s Sebastian Siemiatkowski advocate AI agents and tools like Cursor, predicting hybrid human-AI teams1. Ng’s tips-take AI courses, build systems hands-on, read papers-address a talent crunch where 51% of tech leaders struggle to find AI skills2.
Implications for Careers and Workflows
- AI-Assisted Coding: Tools like GitHub Copilot, Cursor, and Replit enable ‘agentic development’, delegating routine tasks to AI while humans focus on creativity1,3.
- Universal Upskilling: Ng urges structured learning via platforms like Coursera, followed by practice, as theory alone insufficient-like studying aeroplanes without flying2.
- Industry Shifts: Companies like Visa and DoorDash now require AI code generator experience; polyglot programming (Python, Rust) and prompt engineering rise1,3.
- Warnings: Despite optimism, experts like Stuart Russell caution AI could disrupt 80% of jobs, underscoring adaptive skills2.
Ng’s vision positions coding not as a technical niche but a universal lever for productivity in an AI-driven world, urging immediate action to close the growing gap.
References
2. https://www.finalroundai.com/blog/andrew-ng-ai-tips-2026
4. https://www.coursera.org/in/articles/ai-skills
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