Artificial Intelligence (AI) is advancing so rapidly that even its developers are being caught off guard. Google co-founder Sergey Brin said in Davos, Switzerland, in January that it “touches every single one of our main projects, ranging from search to photos to ads … everything we do … it definitely surprised me, even though I was sitting right there.”
The long-promised AI, the stuff we’ve seen in science fiction, is coming and we need to be prepared. Today, AI is powering voice assistants such as Google Home, Amazon Alexa and Apple Siri, allowing them to have increasingly natural conversations with us and manage our lights, order food and schedule meetings. Businesses are infusing AI into their products to analyze the vast amounts of data and improve decision-making. In a decade or two, we will have robotic assistants that remind us of Rosie from “The Jetsons” and R2-D2 of “Star Wars.”
This has profound implications for how we live and work, for better and worse. AI is going to become our guide and companion — and take millions of jobs away from people. We can deny this is happening, be angry or simply ignore it. But if we do, we will be the losers. As I discussed in my new book, “Driver in the Driverless Car,” technology is now advancing on an exponential curve and making science fiction a reality. We can’t stop it. All we can do is to understand it and use it to better ourselves — and humanity.
Rosie and R2-D2 may be on their way but AI is still very limited in its capability, and will be for a long time. The voice assistants are examples of what technologists call narrow AI: systems that are useful, can interact with humans and bear some of the hallmarks of intelligence — but would never be mistaken for a human. They can, however, do a better job on a very specific range of tasks than humans can. I couldn’t, for example, recall the winning and losing pitcher in every baseball game of the major leagues from the previous night.
Narrow-AI systems are much better than humans at accessing information stored in complex databases, but their capabilities exclude creative thought. If you asked Siri to find the perfect gift for your mother for Valentine’s Day, she might make a snarky comment but couldn’t venture an educated guess. If you asked her to write your term paper on the Napoleonic Wars, she couldn’t help. That is where the human element comes in and where the opportunities are for us to benefit from AI — and stay employed.
In his book “Deep Thinking: Where Machine Intelligence Ends and Human Creativity Begins,” chess grandmaster Garry Kasparov tells of his shock and anger at being defeated by IBM’s Deep Blue supercomputer in 1997. He acknowledges that he is a sore loser but was clearly traumatized by having a machine outsmart him. He was aware of the evolution of the technology but never believed it would beat him at his own game. After coming to grips with his defeat, 20 years later, he says fail-safes are required … but so is courage.
Kasparov wrote: “When I sat across from Deep Blue twenty years ago I sensed something new, something unsettling. Perhaps you will experience a similar feeling the first time you ride in a driverless car, or the first time your new computer boss issues an order at work. We must face these fears in order to get the most out of our technology and to get the most out of ourselves. Intelligent machines will continue that process, taking over the more menial aspects of cognition and elevating our mental lives toward creativity, curiosity, beauty, and joy. These are what truly make us human, not any particular activity or skill like swinging a hammer — or even playing chess.”
In other words, we better get used to it and ride the wave.
Human superiority over animals is based on our ability to create and use tools. The mental capacity to make things that improved our chances of survival led to a natural selection of better toolmakers and tool users. Nearly everything a human does involves technology. For adding numbers, we used abacuses and mechanical calculators and now spreadsheets. To improve our memory, we wrote on stones, parchment and paper, and now have disk drives and cloud storage.
AI is the next step in improving our cognitive functions and decision-making.
Think about it: When was the last time you tried memorizing your calendar or Rolodex or used a printed map? Just as we instinctively do everything on our smartphones, we will rely on AI. We may have forfeited skills such as the ability to add up the price of our groceries but we are smarter and more productive. With the help of Google and Wikipedia, we can be experts on any topic, and these don’t make us any dumber than encyclopedias, phone books and librarians did.
A valid concern is that dependence on AI may cause us to forfeit human creativity. As Kasparov observes, the chess games on our smartphones are many times more powerful than the supercomputers that defeated him, yet this didn’t cause human chess players to become less capable — the opposite happened. There are now stronger chess players all over the world, and the game is played in a better way.
As Kasparov explains: “It used to be that young players might acquire the style of their early coaches. If you worked with a coach who preferred sharp openings and speculative attacking play himself, it would influence his pupils to play similarly. … What happens when the early influential coach is a computer? The machine doesn’t care about style or patterns or hundreds of years of established theory. It counts up the values of the chess pieces, analyzes a few billion moves, and counts them up again. It is entirely free of prejudice and doctrine. … The heavy use of computers for practice and analysis has contributed to the development of a generation of players who are almost as free of dogma as the machines with which they train.”
Perhaps this is the greatest benefit that AI will bring — humanity can be free of dogma and historical bias; it can do more intelligent decision-making. And instead of doing repetitive data analysis and number crunching, human workers can focus on enhancing their knowledge and being more creative.
For more, read my book,Driver in the Driverless Car, follow me on Twitter: @wadhwa, and visit my website: www.wadhwa.com
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Beyond HBM! HBF to Rise in the Future, NAND Stacking to Become a New Storage Driver for AI
started by Daniel Nenni on -
TSMC Repurposing Old Fabs to Bring EUV Pellicle Production In-House
latest reply by Fred Chen onstarted by Daniel Nenni on -
TSMC Arizona: A Journey of Innovation and Collaboration
started by Daniel Nenni on -
China tells tech firms to stop buying all of Nvidia's AI chips, FT reports
latest reply by Daniel Nenni onstarted by Daniel Nenni on -
Intel trims 2025 operating expenses outlook after Altera deconsolidation
latest reply by Daniel Nenni onstarted by Daniel Nenni on -
China spotlights major data centre project using domestic chips
started by Daniel Nenni on -
TSM has made Semi Fabrication the ultimate contract business
latest reply by Barnsley onstarted by Arthur Hanson on -
Can Semi-Solid-State or Silicon-Carbon Batteries Replace LiPo Packs in Heavy-Lift Drones?
started by hamzaali on -
TSMC's back-side power supply A16 is coming soon, and Nvidia is expected to be the first to adopt it despite the high price.
latest reply by siliconbruh999 onstarted by Daniel Nenni on -
Nvidia suffers a major blow from China
latest reply by blueone onstarted by Daniel Nenni on
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Rapidus, IBM, and the Billion-Dollar Silicon Sovereignty Bet
Now a cloud is looming over Rapidus and its supplier, Tokyo Electron: to what extent, if any, were they involved…— hist78 on September 17, 2025MediaTek Develops Chip Utilizing TSMC’s 2nm Process, Achieving Milestones in Performance and Power Efficiency
TSMC N2P (vs. N3E) Performance +18% at iso-power Power -36% at iso-performance Density +20% transistor; 1.2x logic, 1.15x chip density…— Daniel Nenni on September 16, 2025MediaTek Develops Chip Utilizing TSMC’s 2nm Process, Achieving Milestones in Performance and Power Efficiency
I think it's N2P not N2 cause these numbers matches with N2P— siliconbruh999 on September 16, 2025MediaTek Develops Chip Utilizing TSMC’s 2nm Process, Achieving Milestones in Performance and Power Efficiency
Numbers change as the process ramps. The TSMC Symposium is next week and I will be there. I will write…— Daniel Nenni on September 16, 2025MediaTek Develops Chip Utilizing TSMC’s 2nm Process, Achieving Milestones in Performance and Power Efficiency
I recall the previous claim for TSMC’s N2 vs. N3E was a 10–15% performance improvement and 25–30% efficiency gain. The…— Maximus on September 16, 2025Rapidus, IBM, and the Billion-Dollar Silicon Sovereignty Bet
Rapidus CEO Atsuyoshi Koike reported the following at Hot Chips 2025: EUV tool delivery in Dec 2024; first exposure test…— Jonah McLeod on September 10, 2025Rapidus, IBM, and the Billion-Dollar Silicon Sovereignty Bet
that would be enough for a lab. So we are saying Rapidus spent less than 2B on this site? that…— Mark Webb on September 10, 2025Rapidus, IBM, and the Billion-Dollar Silicon Sovereignty Bet
TSMC spent an estimated $5–15 billion of its $40 billion Arizona budget in just two years and reached pilot production,…— Jonah McLeod on September 10, 2025The Importance of Productizing AI. Everyday Examples
Thanks Daniel! Clearly I'm not alone in my struggles :)— Bernard Murphy on September 10, 2025
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