@Saul_Investings Estamos de acuerdo, el primer paso es entrar en el rango que pienso que lo hará. Me paso algo muy parecido en $Moderna #Moderna $MRNA y ahora estoy un 25 % por arriba 😉
@Saul_Investings La demanda ponla en perspectiva más amplia, no comparada con la de los últimos meses . Quien compró en los últimos meses y freno el movimiento fue dinero institucional
@Saul_Investings@RA8Finance No son activos de seguimiento normal , llevo muchos años en #BTC $BTC y llevan una volatilidad añadida y manipulación descarada , son niveles buenos para largo plazo, paciencia. Siguiente entrada en la zona de 100
@Saul_Investings Los Fundamentales de $NVO son buenos con unos márgenes brutales.
Lleva una corrección muy profunda, creo que solo hay que comprar y esperar.... Nada más , el dinero se hace solo. Solo ten paciencia alejarse de las noticias
$TEM Tempus AI has not even entered the phase where its AI algorithms start getting reimbursed and scaled. Lefkofsky is very clear about this.
Right now, the business is being valued on Genomics + Data Licensing. That part alone is already growing fast enough to hit positive adjusted EBITDA and support 25%+ revenue growth for years.
But the real upside is still ahead.
Lefkofsky said on the Q3 call that when the healthcare system begins paying for AI-driven diagnostic intelligence (the algorithms that detect errors, predict progression, optimize care decisions, close gaps, match trials, etc.), revenue can scale in a way totally different from wet lab testing.
Quote:
"We have a very hard time predicting the growth rate of some of these algorithms we have in market… because at the present moment, it isn’t well reimbursed, if at all. We believe at some point, that will change. We believe at some point, that has to change or the healthcare system in this country is in danger of real problems.
Their only solution to this problem is some amount of intelligence, call it AI, that allows us to understand where error is occurring, where waste is occurring, where mistakes are occurring, where we can be predictive and preventative. That’s going to have to be paid for or it isn’t going to scale.
When that’s paid for, Tempus is in a really unique position because we have a lot of this. We invest a lot of money embedded in our results, even with positive EBITDA, generating a ton of algorithms. I mean a lot."
He also said:
"If Tempus ever has its NVIDIA moment, it’s going to be because one of these things starts to get paid for, or two of them, or three of them, and they just scale rapidly.
In the wet lab, you might go from $100 million of revenue to $150 million of revenue — that would be a very heavy lift.
But in the algo world, you go from $100 million of revenue to $1 billion of revenue overnight, because you’re distributing zeros and ones instead of having to collect biospecimens and run a test and distribute it.
So it just scales differently."
And they are investing heavily to be positioned for that moment:
• Foundation model with AstraZeneca and Pathos now moving into the large compute phase
• Newly integrated Paige pathology AI models joining Tempus' workflows
• 400 PhDs building and refining multimodal clinical prediction systems
• Scaling GPUs and cloud compute to operate like a true tech company
This is the setup:
Today: Genomics + Data Licensing (already big + profitable)
Soon: MRD scale + reimbursement uplift
Later: AI algorithms get reimbursed and distributed at national scale
Most of Wall Street is still pricing Tempus like a diagnostics lab.
Tempus is actually building the operating system of precision medicine.
The true AI revenue curve has not begun yet.
And Lefkofsky is telling you that directly.