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View profile for Ralph Aboujaoude Diaz, graphic

Global Head - Product and Operations Cybersecurity

Give me a break Harvard Business Review. This kind of misleading sensational headline doesn’t really help unhype Generative AI. Here is the main conclusion of that article: While AI’s ability to analyze complex data sets and iterate rapidly could revolutionize corporate strategy, it struggles in handling unpredictable disruptions and lacks the intuition and foresight required to navigate black swan events. My take: ➡️ While AI significantly outperform CEOs in navigating through oceans of data to come up with patterns and insights, it's next to useless until it gets enough GOOD data. ➡️ The one and only role of CEOs is to lead through uncertainty and ambiguity, by applying their INTUITION in order to gain greater confidence in their decision making. So by design, AI will never be able to “mostly”, not even “partially”, outperform CEOs. #technology #ai #ceo #hype Follow me if you are looking for an honest, pragmatic and funny perspective on technology. Hit the 🔔 on my profile to get a notification for all my new posts.

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Indy Sawhney

Generative AI Strategy & Adoption Leader @ AWS ⛅️ | Public Speaker | 🤖 AI/ML Advisor | Healthcare & Life Sciences

6m

+1 Ralph Aboujaoude Diaz - these types of studies and articles do a disservice to the human-AI collaboration model and exaggerate the maturity of this emerging nascent technology (despite its potential). They fail to capture the nuanced reality of leadership and decision-making in complex business environments. I expected better from HBR.

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Jesús S. Moral

Passionate about how Life Sciences and IT eco-systems can provide unique solutions

2h

Simple business rules make AI best CEO always. First, AI CEO are cheaper, then, reducing OPEX, then, good for shareholders; second, both human CEO and AI access same "good data", then, decission are comparable, but AI works 24/7 consistently, while human CEO needs sleep, eat and other useless task; third, the same AI CEO can do COO, CTO, CSO duties in a fraction of time, again, OPEX reduced. At the end, it's money what prevails, for good and for bad

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Casimir Artmann

I’m a storyteller, filmmaker, horserider, and I’ve been working with Enterprise Architecture since last century.

1h

Answer from Copilot on the question if AI can replace a CEO. AI is unlikely to fully replace human CEOs, including at organizations like Harvard Business Review1 . However, AI can significantly augment leadership roles by enhancing data analysis, operational efficiency, and strategic decision-making1 . This hybrid model allows human leaders to focus on long-term vision, ethics, and adaptability in dynamic markets1 . Would you like to know more about how AI is currently being used in leadership roles?

Ceri John MBA

Director Deployment @ Voneus Broadband | Deployment Management

2h

I don’t think it’s an either/or - it should be Human AND Artificial Intelligence. We spend too long working out the ‘number’ that we never ask the question ‘So What?’ That’s the value the Human beings - the best of both worlds increases both the pace of getting to the number and gives time for the analysis and decision making to be of a higher quality.

🆁ᴀʜᴜʟ 🆈adav

Founder & CTO | Futurist | AI Researcher | Generative AI Artist | AI Broadcaster | Design Thinking & Innovation | Technology Economist | Global Affairs

49m

Ask AI to do one thing that would never happen "Can you make all happy"... And here AI fails to replace a CEO

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Young Lee

Founder & Chief Architect, Contexta - Unified Objects Graph, the Rational AI [HyperGraph Database • GraphDrive • GraphWeb]

1h

I agree and what a joke this HBR article. The recent Air Canada lawsuit & ruling much better illustrates the reality of AI in business; you use AI in any serious role - customer support, let alone "CEO" - and you pay dearly for it. With even Sam Altman boasting the "high accuracy" of 72% at best, the accuracy simply isn't there. Worse, the "probabilistic" language models (prevalently referred to as "AI") won't ever get there - regardless of more investment, more training, more scaling up. It's in the LLM genes. Will continue, always suffer in accuracy, transparency, not to mention hallucination. Ultimately, management is never about making stochastically repeating "great decisions" the 75% of the time. Instead it's about NOT making a STUPID decision ("dropping the ball") 99+% of the time. And the current probabilistic "AI" language models will NEVER get up there. So if HBR can't understand that, they should stop publishing on management/business. At least until a totally different AI design/approach/model comes along.

Bart Vandekerckhove 🔐

Co-founder @ Raito | Data Security for GenAI and Analytics

1h

Expecting a statistical model to navigate black swan events is like expecting a fish to climb a tree

Casimir Artmann

I’m a storyteller, filmmaker, horserider, and I’ve been working with Enterprise Architecture since last century.

2h

The most important task of a CEO is legal accountability. I would like to see a contract with an AI-tool provider who take this accountability. 🤣

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