Age based rule to be implemented

[mthoopsfan]

Since you’ve been saying it for several years, I would assume it’s been soon by now.

I don’t recall saying falling behind in the past. I have been saying the Cats will need to adjust. And with the 5th year rule, there will be more pressure to adjust. Try to read and comprehend better.

 

[argh!]

Google glass was not something huge, in my mind. It was a blip. I never even heard of it until recently. I never saw the hype. I don't understand crypto. Never paid much attention to it.

Not that much was ever invested in Google glass. It is truly incredible.

Skepticism is fine, but AI is already overwhelmingly big and important and growing.

AI, on the other hand: "Total global spending on AI is projected to reach $2.52 trillion to $2.59 trillion, representing over 40% of all global IT spending.

1.​

Unlike previous tech booms that focused on software development, the current surge is dominated by physical hardware, computing power, and energy. According to recent 2026 data from firms like Gartner:

• AI Infrastructure ($1.37 Trillion): This is the largest single slice of the pie. It includes specialized AI data centers, high-end GPU clusters (which drove Nvidia past a $5 trillion market cap), and network fabric.
• Big Tech Capital Expenditure: Just four "hyperscalers"—Amazon, Microsoft, Alphabet, and Meta—have collectively budgeted between $660 billion and $720 billion for capital expenditures, directed almost entirely at AI data centers and infrastructure. For scale, Amazon alone has targeted roughly $200 billion in AI investments, while Alphabet is raising $80 billion in fresh cash to fuel a planned $190 billion spend.
• Semiconductor Mega-Projects: To keep pace with chip demand, massive regional initiatives are underway. For instance, Samsung and SK Hynix announced a joint $518 billion investment to build a massive new computer chipmaking hub in South Korea.

2. Software, Models, and Services​

While infrastructure eats up nearly half of the capital, the remaining investment is split across deployment:

• AI Software & GenAI Models (~$450–$480 Billion): Enterprise software and the training of foundational models are expanding rapidly, with generative AI model spending seeing an 80% year-over-year growth rate.
• AI Consulting and Services (~$585 Billion): Because most companies lack internal machine learning expertise, hundreds of billions are flowing to enterprise consulting firms (like PwC, Deloitte, and Accenture) to help bridge the skills gap and deploy AI into existing corporate workflows.

3. Long-Term Forecasts: The Multi-Trillion Dollar Horizon​

Looking further down the road, the numbers become even more exponential. Goldman Sachs estimates that tech companies will spend a cumulative $7.6 trillion through 2031 just to build and power the thousands of new data centers required to keep up with agentic workflows and advanced AI systems." Gemini.

here's an interesting opinion on ai, from the nytimes. worth the read, as the author makes some interesting points, such as that if a process is easily automated, it's already been automated. it also makes the point that ai makes decisions based on plausibility, not reasoning. etc, etc... it's a good article: https://www.nytimes.com/2026/06/30/opinion/ai-agents-steal-jobs-employment.html

 

[ResilientGriz]

If you don't think AI will have much of an impact, then you aren't using it correctly.

 

[SinCityGriz2005]

I know, it’s kind of weird to get my head around, too. Take the transitional implementation years out of it. Under the old system, players had 4 years of playing time. Now, they have 5 years of playing time.

In a perfect distribution example for simplicity, that means 25% of the roster used to leave each year. Now, only 20% of the roster leaves each year. It decreases yearly roster turnover no matter how you look at it, which means coaches simply have less need to sign as many high school seniors each year.

Because teams are bound by a roster cap, they can't just expand the team to hoard both groups. It is a zero-sum choice. Furthermore, without traditional redshirts or medical waivers, high school seniors who are signed will be on the playing clock immediately. That means there is less incentive to take on high school "projects" because you waste a valuable year of eligibility just developing them.

Now, couple it with the portal. At the top levels of CFB, does a coach choose a group of developed 22-year-olds or 18-year-olds fresh from HS to fill that smaller 20% hole? Obviously the former. This creates a trickle-down roster displacement where the 18-year-olds have to go somewhere lower. The recruits who would’ve gone to Alabama are displaced down to Boise, and the ones who would’ve gone to Boise are pushed down to the FCS (rough examples).

Sounds like the final nail in establishing a farm league system.