Usamah Sedqi Al-Baik أسامة صدقي البيك

Twenty-one months ago, I wrote about how OpenAI’s Operator could transform traditional automation. Today, with the arrival of Claude Duet, ChatGPT Dots, Meta Muse, and Grok Bot, that prediction is evolving into something much bigger: AI systems that don’t just execute tasks, but proactively manage work. When AI Learned to Use a Computer On January 24, 2025, I published an article titled How OpenAI’s Operator Outpaces Traditional RPA . It was just one day after OpenAI introduced Operator, an experimental AI agent capable of interacting with websites much like a human being. At the time, I argued that Operator represented an important shift in automation. Traditional Robotic Process Automation (RPA) relied heavily on predefined rules, scripted interactions, and structured workflows. These technologies were highly effective at repetitive tasks, but often required adjustments whenever an application changed or an unexpected situation appeared. Operator in...

The third chapter in a developing story about agentic AI, cybersecurity, and digital trust Imagine waking up to discover that the locks protecting millions of digital doors may not be as secure as we believed. Some doors lead to ordinary websites. Others lead to government services, customer records, business platforms, and financial information. That is the uncomfortable picture emerging from several cybersecurity developments this week. The internet has not collapsed, and there is no reason for everyone to abandon it. But the events of October 2026 deserve our attention for a much more important reason: artificial intelligence is changing the speed at which weaknesses in our digital world can be discovered, exploited, and repaired. From an early warning to a real-world test For me, this story did not begin with this week's security alerts. In June 2025, I published “From Chatbots to Cyber-Worms: Why the Age of Agentic AI Demands Radical Rethinking of ...

The future of SaaS, the rise of vibe coding, Adobe’s market dominance, and the strategic threat to established software companies Introduction: The threat is no longer theoretical For decades, the software industry has operated on a relatively stable assumption: developing sophisticated applications requires substantial investment, specialized engineering teams, years of accumulated intellectual property, and continuous maintenance. These barriers have allowed established software companies to build powerful market positions, sustain premium pricing, and maintain considerable control over their customers. Artificial intelligence is changing not only how software is used but, more fundamentally, who can build it, how quickly it can be built, and what customers should reasonably be expected to pay for it. The rise of vibe coding, AI-assisted professional software engineering, and increasingly autonomous coding agents introduces a competitive threat that many estab...

Recently, I came across a reflection by Dr. Ahmed Omar Hawsawi that immediately connected with a series of articles I have been writing about AI, authorship and authenticity. He described a situation that I suspect many of us are beginning to encounter. Someone presents an impressive presentation. It is clear, beautifully structured and professionally designed. Then comes the comment: “Obviously this was made by AI.” And sometimes there is an unspoken second sentence: “Therefore, it is somehow less valuable.” That is where I think our conversation about artificial intelligence has taken a wrong turn. Because increasingly, “This is AI” is being used not as a description of a tool, but as a criticism of the person who used it. We Are Judging the Tool Instead of the Work Imagine that employee presenting the slides. Perhaps AI created the visual layout. Perhaps it reorganized the bullet points. Perhaps it summariz...

#ArtificialIntelligence #AIEthics #TechForGood #AltruisticAI #FutureOfAI #DigitalTransformation #AIForHumanity #EthicalTech #ResponsibleAI #InnovationWithPurpose The concept of artificial intelligence (AI) embodies the creation of machines or software that can perform tasks requiring human intelligence, such as learning, reasoning, problem-solving, perception, and understanding language. While AI holds the potential for significant benefits across various sectors—healthcare, education, finance, and more—it also brings forth a spectrum of ethical, societal, and technical challenges that mirror the complexity and breadth of human cognition and behavior. This includes the potential for "artificial stupidity," "artificial brutality," "artificial criminality," and other negative outcomes. Let's discuss these aspects thoroughly. Artificial Stupidity "Artificial stupidity" humorou...