Close Menu
    Trending
    • Implementing IBCS rules in Power BI
    • What comes next for AI copyright lawsuits?
    • Why PDF Extraction Still Feels LikeHack
    • GenAI Will Fuel People’s Jobs, Not Replace Them. Here’s Why
    • Millions of websites to get ‘game-changing’ AI bot blocker
    • I Worked Through Labor, My Wedding and Burnout — For What?
    • Cloudflare will now block AI bots from crawling its clients’ websites by default
    • 🚗 Predicting Car Purchase Amounts with Neural Networks in Keras (with Code & Dataset) | by Smruti Ranjan Nayak | Jul, 2025
    AIBS News
    • Home
    • Artificial Intelligence
    • Machine Learning
    • AI Technology
    • Data Science
    • More
      • Technology
      • Business
    AIBS News
    Home»Business»What AI’s Gaming Origins Can Teach Us About Business Breakthroughs
    Business

    What AI’s Gaming Origins Can Teach Us About Business Breakthroughs

    Team_AIBS NewsBy Team_AIBS NewsMarch 6, 2025No Comments6 Mins Read
    Share Facebook Twitter Pinterest LinkedIn Tumblr Reddit Telegram Email
    Share
    Facebook Twitter LinkedIn Pinterest Email


    Opinions expressed by Entrepreneur contributors are their very own.

    In enterprise, probably the most transformative improvements usually come from probably the most sudden locations. The web was a protection mission earlier than it revolutionized commerce. Textual content messaging was a byproduct of engineers testing cell networks earlier than it turned a world communication software. And artificial intelligence (AI), the defining know-how of our time, owes a lot of its explosive progress to an {industry} that was by no means designed to create it — gaming.

    Entrepreneurs chasing the subsequent large factor usually look in apparent locations — high-tech labs, company R&D divisions and enterprise capital development experiences. However AI’s rise from the gaming world serves as a strong lesson: Breakthroughs usually emerge as byproducts of fixing solely completely different issues. Understanding this sample may also help enterprise leaders keep forward by recognizing and capitalizing on hidden alternatives earlier than they turn into apparent.

    Associated: 5 Success Stories About Finding Inspiration in Unlikely Places

    How gaming by chance constructed the way forward for AI

    Within the early 2000s, NVIDIA, AMD and different gaming {hardware} producers had been locked in an arms race. Their purpose? To create ever-faster, extra highly effective graphics processing models (GPUs) able to rendering more and more complicated, hyper-realistic video video games. Excessive body charges, clean animations and sensible physics required large parallel computations — duties that conventional central processing models (CPUs) struggled to deal with effectively.

    To unravel this drawback, NVIDIA developed CUDA (Compute Unified System Structure) in 2006, which allowed GPUs to deal with extra than simply graphics; it let builders harness their parallel computing energy for different functions. At first, this appeared like an attention-grabbing however area of interest functionality. Then, AI researchers bought their palms on it.

    In 2012, an AI workforce on the College of Toronto used NVIDIA GPUs to coach AlexNet, a deep studying mannequin that crushed its competitors in a picture recognition contest. The explanation? GPUs may course of 1000’s of calculations in parallel, reducing AI coaching time from weeks to days. This sparked the trendy deep-learning revolution. As we speak, ChatGPT, self-driving automobiles and each main AI software depend on GPU-powered deep studying — {hardware} initially designed for rendering video video games.

    Nonetheless, NVIDIA is not the one firm benefiting from this sudden tech growth. TensorWave, a startup constructing AI-optimized cloud infrastructure, is now leveraging next-gen chips for AI coaching at a fraction of the price of conventional knowledge facilities. Corporations like AMD, Intel and even Apple have jumped in, creating specialised AI chips, all due to a technological trajectory that started with gaming.

    The hidden sample of enterprise breakthroughs

    AI’s origins in gaming are removed from an remoted incident. Historical past is filled with main improvements that got here from fixing unrelated issues. Some examples embrace:

    • The web was initially developed by the U.S. navy to create a resilient communication system in case of nuclear struggle. As we speak, it underpins international enterprise.

    • YouTube began as a video relationship website earlier than pivoting into the world’s largest video-sharing platform.

    • Slack was initially an inside chat software for a failing gaming startup earlier than turning into the go-to office communication platform.

    • SpaceX‘s reusable rockets had been constructed to decrease the price of house journey however at the moment are positioned to dominate international web protection by means of Starlink.

    These tales illustrate a vital lesson: Innovation is not at all times about chasing developments. It is usually about fixing a right away drawback so effectively that it unlocks one thing larger.

    Associated: Your Next Great Innovation for Your Business Might Come From Another Industry

    Classes for entrepreneurs: Tips on how to spot hidden alternatives

    The next game-changing innovation would possibly already be sitting inside your online business — if you understand how to search out it. Listed here are three actionable classes entrepreneurs can apply from the AI-gaming revolution:

    1. Observe the ache factors, not the hype

    NVIDIA by no means got down to construct AI chips — it was merely attempting to enhance gaming efficiency. But, by fixing that particular drawback with scalable parallel processing, it unlocked a a lot bigger market.

    Ask your self: What constraints are limiting your {industry} proper now? What issues are you fixing for purchasers which may have broader functions? As an alternative of chasing developments, deal with fixing deep, persistent issues exceptionally effectively.

    2. Take note of what researchers and hackers are doing along with your tech

    AI researchers stumbled upon NVIDIA’s GPUs and repurposed them for machine studying. Most groundbreaking improvements come from customers who experiment with a product in methods its creators by no means imagined.

    Ask your self: Are researchers, builders or energy customers repurposing your know-how in sudden methods? If that’s the case, listen — it may reveal a hidden alternative.

    3. Construct flexibility into your online business mannequin

    The businesses that thrive from unintentional breakthroughs are those which might be nimble sufficient to pivot or expand into new markets. NVIDIA may have dismissed AI as a distinct segment market, however as a substitute, it doubled down on AI {hardware} and have become the dominant participant.

    Ask your self: If a breakthrough adjoining to your online business appeared tomorrow, would you be structured to benefit from it? Or would you be too locked into your present enterprise mannequin?

    The way forward for unintentional innovation

    Proper now, a few of the world’s most disruptive applied sciences could be brewing in industries that don’t have anything to do with AI. Take into account:

    • The push for higher battery life in client electronics is accelerating breakthroughs in power storage that would revolutionize inexperienced power.

    • Quantum computing, nonetheless in its infancy, is being developed for cybersecurity however may unlock unthinkable breakthroughs in AI and materials science.

    • The race to construct augmented reality (AR) for gaming may find yourself redefining the way forward for distant work, coaching and communication.

    The important thing lesson for entrepreneurs? The following large innovation will not come from the place everybody expects it to. It can emerge from a small workforce fixing an industry-specific drawback exceptionally effectively — similar to AI emerged from gaming.

    Associated: 5 Big Brands That Had Massively Successful Pivots

    Keep open to the sudden

    Entrepreneurs who keep fixated on their unique enterprise imaginative and prescient danger lacking bigger, game-changing alternatives hidden of their work. NVIDIA did not got down to construct the AI revolution, nevertheless it acknowledged the second when it arrived.

    So, as you construct your online business, maintain an eye fixed out for sudden breakthroughs, different use circumstances and unintended penalties. They may simply be the important thing to your subsequent large transfer.

    As a result of the most important improvements do not at all times begin the place you assume — they begin the place you least anticipate them.



    Source link

    Share. Facebook Twitter Pinterest LinkedIn Tumblr Email
    Previous ArticleHow to Spot and Prevent Model Drift Before it Impacts Your Business
    Next Article Facing the Looming Threat of A.I., Publishers Turn to Decentralized Platforms
    Team_AIBS News
    • Website

    Related Posts

    Business

    I Worked Through Labor, My Wedding and Burnout — For What?

    July 1, 2025
    Business

    3D Printer Breaks Kickstarter Record, Raises Over $46M

    July 1, 2025
    Business

    How This Man Grew His Beverage Side Hustle From $1k a Month to 7 Figures

    July 1, 2025
    Add A Comment
    Leave A Reply Cancel Reply

    Top Posts

    Implementing IBCS rules in Power BI

    July 1, 2025

    I Tried Buying a Car Through Amazon: Here Are the Pros, Cons

    December 10, 2024

    Amazon and eBay to pay ‘fair share’ for e-waste recycling

    December 10, 2024

    Artificial Intelligence Concerns & Predictions For 2025

    December 10, 2024

    Barbara Corcoran: Entrepreneurs Must ‘Embrace Change’

    December 10, 2024
    Categories
    • AI Technology
    • Artificial Intelligence
    • Business
    • Data Science
    • Machine Learning
    • Technology
    Most Popular

    Tech Stock Shock + Solving the Mystery of OpenAI’s ‘Blip’ + Tinder’s Flirt-Off

    April 4, 2025

    Exploring the Ethics of Machine Learning and Artificial Intelligence: Practices and Measures | by Padmajeet Mhaske | Feb, 2025

    February 5, 2025

    UFC boss Dana White and two others to join Meta board

    January 7, 2025
    Our Picks

    Implementing IBCS rules in Power BI

    July 1, 2025

    What comes next for AI copyright lawsuits?

    July 1, 2025

    Why PDF Extraction Still Feels LikeHack

    July 1, 2025
    Categories
    • AI Technology
    • Artificial Intelligence
    • Business
    • Data Science
    • Machine Learning
    • Technology
    • Privacy Policy
    • Disclaimer
    • Terms and Conditions
    • About us
    • Contact us
    Copyright © 2024 Aibsnews.comAll Rights Reserved.

    Type above and press Enter to search. Press Esc to cancel.