Samer Obeidat

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Samer Obeidat AI Strategist & Venture Builder. President at World AI X Ventures. I don’t just advise—I execute.

I’m a senior AI strategist, venture builder, and product leader with 15+ years of global experience leading high-stakes AI transformations across 40+ organizations in 12+ sectors—from defense and aerospace to finance, healthcare, and government. I’ve built and scaled AI ventures now valued at over $100M, and I’ve led the technical implementation of large-scale, high-impact AI solutions from the ground up. My proprietary, battle-tested frameworks are designed to deliver immediate wins—triggering KPIs, slashing costs, unlocking new revenue, and turning any organization into an AI powerhouse. I specialize in turning bold ideas into real-world, responsible AI systems that get results fast and put companies at the front of the AI race. If you're serious about transformation, I bring the firepower to make it happen. For AI transformation projects, investments or partnerships, feel free to reach out: [email protected]

#1
10/09/2026

#1

The Abdali Boulevard Hotel
10/03/2026

The Abdali Boulevard Hotel

09/07/2026

The Goal Is Not to Eliminate AI Hallucinations Completely.

Google DeepMind’s Zoubin Ghahramani argues that hallucinations are partly a symptom of the same capability that allows AI to be creative. If someone asks a model to write a fictional story about Albert Einstein flying a rocket, inventing details is not a failure. It is the intended outcome.

The challenge is context. Businesses need AI to distinguish between tasks that reward imagination and those that demand factual accuracy. A marketing team may value originality, while a financial, medical, or legal decision requires reliable evidence and a clear indication of uncertainty.

This creates an important question: should AI always sound certain when the information available to it may be incomplete or contradictory? Models that communicate confidence levels, cite evidence, and recognise the user’s intent could help employees understand when an answer is dependable and when human verification remains necessary.

Perhaps that is the real lesson. The most useful business AI will not be the model that never invents. It will be the one that understands when creativity creates value, when accuracy is essential, and when it should openly admit uncertainty.

09/05/2026

When Intelligence Becomes the Ability to Act

What if the biggest advance in AI is not how well it answers, but how reliably it completes the work?

OpenAI’s GPT-6 Astra combines advanced reasoning with computer use, allowing it to navigate software, conduct research and produce professional documents, spreadsheets, presentations and applications. It is designed to carry complex workflows from instruction to finished output.

What makes this significant is the shrinking distance between intention and ex*****on. AI is moving beyond helping people think through work and becoming capable of performing more of the practical steps required to deliver it.

But greater agency brings greater responsibility. Permissions, oversight and clear boundaries must advance alongside capability, especially as powerful models gain access to business systems, sensitive data and cybersecurity tools.

09/04/2026

When Anyone Can Teach a Robot New Tricks

What if learning robotics began with a 25-centimetre duck walking across your desk?

The MicroDuck has been crafted as a small, open-source biped that users can train through reinforcement learning. New behaviours are developed in simulation, deployed on the physical robot and shared with the wider community.

The interesting thing about the MicroDuck isn't just what it can do, but who it could enable to experiment. By making the software, simulation and training tools accessible, robotics becomes something more people can learn, modify and help advance.

As intelligent machines become easier to train, responsible experimentation must grow alongside accessibility. Open systems like MicroDuck could help the next generation learn not only how robots move, but how they should be designed and governed.

The AI Boom Is Creating Premium Jobs Beyond Software.Indeed data from January to June 2026 shows that US data-centre emp...
09/03/2026

The AI Boom Is Creating Premium Jobs Beyond Software.

Indeed data from January to June 2026 shows that US data-centre employers are offering significantly higher pay for several roles than employers outside the sector. Facilities managers receive the largest annual premium, earning a median of $134,000 compared with $82,000 elsewhere. Network technicians earn $32 an hour, 42% more than comparable non-data-centre roles.

This reveals an often-overlooked side of the AI economy. Building intelligence at scale requires construction managers, electricians, network engineers, security officers, technicians, and facilities teams to create and maintain the physical infrastructure behind it.

For workers and communities, data-centre expansion could create new pathways into well-paid technical and operational careers. But these opportunities will not be distributed automatically. Training institutions, employers, and governments must align apprenticeships, technical education, and local hiring programmes with where infrastructure investment is occurring.

Perhaps that is the real lesson. AI may automate parts of existing work, but it is also increasing the value of human expertise required to build and operate its foundations. The future workforce will not consist only of people developing AI. It will also include those keeping the AI economy powered, connected, secure, and running.

09/03/2026

AI May Be Different From Every Technology That Came Before It.

Bill Gates points out that comparing AI with earlier technologies may underestimate what makes it fundamentally different. Previous innovations extended human physical capacity or improved specific processes. AI is beginning to replicate aspects of human cognition, from reasoning and mathematics to communication and decision-making.

Combined with increasingly capable humanoid robots, that intelligence could eventually affect both knowledge work and physical labour. Earlier technologies, including the microprocessor, ultimately created more jobs than they displaced. However, AI has growing abilities to automate traditional areas people have historically relied upon to move into new roles.

This raises a difficult question: if machines can perform both cognitive and physical work, where will human labour retain its economic advantage? The opportunity remains considerable, with the potential to expand healthcare, education, scientific discovery, and productivity. But the transition may be deeper and faster than previous industrial shifts.

Perhaps that is the real lesson. Leaders should not assume that the labour market will adapt automatically because it has done so before. Businesses and governments must begin redesigning education, employment, income systems, and the meaning of human contribution before AI’s capabilities outpace society’s ability to respond.

09/02/2026

When AI Stops Assisting and Starts Doing

What if you could show an AI how you work once, then trust it to handle the process next time?

Grok Bot gives AI teammates their own computers, allowing them to sign in to workplace tools, learn routines by observing users and complete projects from start to finish. Multiple Bots can also work in parallel and pass tasks between themselves.

This innovation means AI can move from supporting individual tasks to coordinating entire workflows while people focus on decisions that require judgement and creativity.

But when AI can access systems and take action independently, trust must be built into the workflow. Clear permissions, approval points, audit trails and human accountability will be essential as AI moves from offering answers to completing work.

09/02/2026

Money Alone Cannot Replace the Meaning People Find in Work.

The highly regarded Geoffrey Hinton offers sound advice that universal basic income may soften the financial impact of AI-driven job losses, but it cannot replace the dignity, identity, social connection, and sense of purpose that many people derive from their work.

For businesses and governments, this means the challenge extends beyond redistributing the wealth created by AI. If organisations automate roles without creating new pathways for contribution, learning, and human connection, society could become financially supported yet increasingly disconnected and unequal.

The difficult question is whether those benefiting most from automation will accept responsibility for sharing its gains.

Perhaps that is the real lesson. Preparing for AI-driven job displacement requires more than an income safety net. It requires redesigning education, employment, taxation, and community life so that people retain both economic security and a meaningful place in society.

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