{"id":116525,"date":"2025-08-28T16:17:09","date_gmt":"2025-08-28T16:17:09","guid":{"rendered":"https:\/\/www.newsbeep.com\/us\/116525\/"},"modified":"2025-08-28T16:17:09","modified_gmt":"2025-08-28T16:17:09","slug":"im-a-ceo-who-bootstrapped-my-robotics-firm-en-route-to-a-1-billion-plus-valuation-and-i-know-ais-dirty-secret-without-data-its-just-math-tricks","status":"publish","type":"post","link":"https:\/\/www.newsbeep.com\/us\/116525\/","title":{"rendered":"I’m a CEO who bootstrapped my robotics firm en route to a $1 billion-plus valuation and I know AI\u2019s dirty secret: without data, it\u2019s just math tricks"},"content":{"rendered":"

Last week, MIT published a report<\/a> that should make every CEO sit up straight:\u00a095% of generative AI pilots deliver zero return on investment.\u00a0Let me put that in perspective, AI startups took in around\u00a0$250 billion in venture dollars over the past 12 months, and only 5% of those projects created measurable value.<\/p>\n

This is the definition of a gold rush. Investors are throwing shovels at anyone who promises they\u2019ll strike digital gold. But most of these prospectors don\u2019t know what they\u2019re digging for, let alone how to build something that lasts.<\/p>\n

I run a robotics company<\/a> that builds AI-powered software for some of the toughest industries on earth \u2014 energy, defense, manufacturing, mining. We were bootstrapped for years and we reached unicorn status<\/a> just a few months ago, with a $1.25 billion valuation. Everywhere I\u2019ve been going, whether it\u2019s Davos<\/a>, Washington DC<\/a>, or the Middle East<\/a>, the story is the same: executives have been sold a dream that isn\u2019t rooted in reality. The hype is real. The fundamentals are wrong.<\/p>\n

Why Most AI Pilots Fail<\/p>\n

Here\u2019s the hard truth:\u00a0AI isn\u2019t failing because of weak algorithms. It\u2019s failing because of weak data.<\/p>\n

Every Fortune 500 boardroom has seen the pitch. Sleek slide decks. Dazzling demos. Sweeping promises about transformation. But scratch the surface and you\u2019ll find a fatal flaw, companies don\u2019t have the data these algorithms need to work.<\/p>\n

Poor data quality. Missing data. No ground truth. That\u2019s the real problem, not the math. An algorithm is only as good as the fuel you put in. And right now, most companies are trying to drive Ferraris on empty tanks.<\/p>\n

How can an energy facility decrease BTUs and increase KWs if it doesn\u2019t even know why its assets are failing or how to improve heat rates?<\/p>\n

How can a manufacturer increase production or efficiency if three-ring binders are the operating system?<\/p>\n

Most people in tech don\u2019t realize how analog the physical world is, and how complex the systems are. Edison once said, \u201cVision without execution is hallucination,\u201d and that is what AI is doing in these pilots.\u00a0<\/p>\n

Atoms to bits: where the real ROI starts<\/p>\n

But AI is only part of the story.\u00a0Data collection is the story.<\/p>\n

That\u2019s why robots and AI need each other. Robots in the field can capture unlimited amounts of data points. Think ultrasonic, vibration, lidar, thermal, visual. Turning the physical world into high-fidelity digital models. Additionally, one enormous corpus of data that must be gathered, is the subject matter expertise that lives in the heads and hands of the people who maintain and operate the built world. The humans. These inputs are the raw material that AI can finally learn from.<\/p>\n

This is where value is created: turning\u00a0atoms into bits. It\u2019s the difference between binders of inspection reports stuffed in filing cabinets and comprehensive digital maps of infrastructure that let AI do its job. With that foundation, AI isn\u2019t just a flashy demo, it prevents failures, extends the life of assets, reduces emissions, saves billions, and creates trillions.<\/p>\n

The geopolitics of AI<\/p>\n

MIT\u2019s study wasn\u2019t just a corporate red flag, it was a national one. The race for AI supremacy is really a race for energy and industrial capacity.<\/p>\n

AI models don\u2019t run on hype, they run on power. Nations that secure energy resources and digitize their industrial base will win this century. That\u2019s why I\u2019ve shifted my focus toward the U.S. and Middle East, regions that understand that energy and data aren\u2019t side issues, they\u2019re the keys to global leverage.<\/p>\n

An unreliable grid, crumbling infrastructure, and inefficient factories aren\u2019t just economic problems. They\u2019re vulnerabilities. If America doesn\u2019t solve its physical-world data gap, we risk falling behind competitors who are willing to do the hard work of building first-principle systems.<\/p>\n

The future belongs to data creators<\/p>\n

Here\u2019s the takeaway: the so-called AI bubble won\u2019t pop because AI is useless. It will pop because too many companies tried to skip the hard work of data creation.\u00a0<\/p>\n

The winners will be the ones who understand that\u00a0owning the data means owning the AI.\u00a0Algorithms will come and go. Data endures.<\/p>\n

When I talk to customers in energy, defense, and manufacturing, I don\u2019t ask them to try my tool in an overcrowded toolbox. I invite them to become \u201cAI Native\u201d, which means, if you share your data with my platform, I will bring 10X more data with my robots, sensors, forward-deployment engineers to you to make you a uniquely advantaged AI company that happens to make steel, MWs, petroleum or military equipment.\u00a0<\/p>\n

So here\u2019s the one question every CEO should ask the next time someone pitches them an AI solution: \u201cWhat data will this AI actually use?\u201d<\/p>\n

If the answer is vague, walk away. Because no matter how polished the pitch, without the right data, the ROI will be zero. Every. Single. Time.<\/p>\n

The opinions expressed in Fortune.com commentary pieces are solely the views of their authors and do not necessarily reflect the opinions and beliefs of\u00a0Fortune.<\/p>\n

Introducing the 2025 Fortune Global 500, the definitive ranking of the biggest companies in the world. Explore this year’s list.<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"Last week, MIT published a report that should make every CEO sit up straight:\u00a095% of generative AI pilots…\n","protected":false},"author":2,"featured_media":116526,"comment_status":"","ping_status":"","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[45],"tags":[182,181,507,2788,74,11724],"class_list":["post-116525","post","type-post","status-publish","format-standard","has-post-thumbnail","category-artificial-intelligence","tag-ai","tag-artificial-intelligence","tag-artificialintelligence","tag-data","tag-technology","tag-unicorns"],"_links":{"self":[{"href":"https:\/\/www.newsbeep.com\/us\/wp-json\/wp\/v2\/posts\/116525","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.newsbeep.com\/us\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.newsbeep.com\/us\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.newsbeep.com\/us\/wp-json\/wp\/v2\/users\/2"}],"replies":[{"embeddable":true,"href":"https:\/\/www.newsbeep.com\/us\/wp-json\/wp\/v2\/comments?post=116525"}],"version-history":[{"count":0,"href":"https:\/\/www.newsbeep.com\/us\/wp-json\/wp\/v2\/posts\/116525\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/www.newsbeep.com\/us\/wp-json\/wp\/v2\/media\/116526"}],"wp:attachment":[{"href":"https:\/\/www.newsbeep.com\/us\/wp-json\/wp\/v2\/media?parent=116525"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.newsbeep.com\/us\/wp-json\/wp\/v2\/categories?post=116525"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.newsbeep.com\/us\/wp-json\/wp\/v2\/tags?post=116525"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}