⚫️ How Big is $TIG's Total Addressable Market? This is where things start sounding crazy.. Trying to define $TIG's TAM is an incredibly difficult thing to do.. Because.. what industries will $TIG touch? - AI - Research - Software - Logistics - Science - Cryptography - Energy - Medicine - Cloud - Chips - Robotics - Compute I mean.. potentially all of them I guess the better question to ask is.. "Where does improved and optimised computation create economic value?" The answer to that is.. Almost everywhere Gartner forecasts roughly $2.5 Trillion of worldwide AI spending in just 2026 alone OECD estimates global Research and Development spending reached $3.8 Trillion in 2024.. which I imagine has only increased since Mckinsey said generative AI could generate up to $4.4 Trillion of annual economic value across all the use cases they analysed And with Logistics.. the World Bank mentioned logistics costs could equal up to 8% of GDP in the US.. with closer to 15-20% in many middle income countries Now.. $TIG clearly does not own these markets Its TAM is not $2.5 Trillion because Gartner forecasted $2.5T on AI spending.. That would be insane The point is.. $TIG will have genuine severe impact on gigantic industries globally through algorithmic optimisations $TIG doesn't need to capture all of them.. it doesn't need to capture 10% Hell.. it doesn't even need to capture 1% Because if you build infrastructure responsible for improving and optimising how trillions and trillions of dollars of technology and capital operate.. Even a tiny percentage becomes eye watering numbers Full article 👉 xitter.cf/DreadBong0/status/2090… $TIG

Earlier this year.. @vidalthi who is one of the top academics in his field.. Produced an industry leading.. state of the art algorithm for vehicle routing optimisation through @tigfoundation Irrefutable proof that $TIG works So undervalued.. $TIG

$TIG explained in 2 minutes..

🔵 Why is now the right time for $TIG? 10 years ago.. this probably wouldn't have worked Autonomous agents didn't really exist.. AI wasn't able to meaningfully participate in any form of algorithmic discovery and crypto coordination networks were in their early days Global compute expenditure was nothing like it is today.. and simply put, the infrastructure wasn't ready Now.. we see several enormous trends colliding all at exactly the same time - AI systems can increasingly write and improve code.. - AI agents can operate more autonomously.. - Compute has become one of the worlds most important resources.. - The world is spending trillions building AI infrastructure - Open source has already proven globally distributed tech development works - Crypto has proven strangers can be coordinated through economic incentives And algorithmic efficiency becomes more valuable every year as increasingly large parts of soceity become computational $TIG sits directly at the intersection of.. - AI - Compute - Markets - Open source - Research - IP - Crypto coordination That combination of secular trends is outrageous The world needs $TIG.. it just doesn't know it yet Full article here 👉 xitter.cf/DreadBong0/status/2090… $TIG

Stanford researchers reinforcing the thesis behind $TIG's Prometheus Coordinated swarms of AI agents exploring thousands of possibilities and accelerating discoveries at a scale @tigfoundation continue to show they are way ahead of the curve Its the valuation thats lagging.. $TIG