May's tech-hype predictions for 2026
May's tech-hype predictions for 2026 onwards:
- The month after major public pensions and governments buy huge stakes in the AI companies (OpenAI, Anthropic, etc), the US AI bubble will start crashing. This will happen in 2026.
- At this point, free access to LLMs will go away. Corporate LLMs will raise their prices by at least 100x to make up for the loss in users and casual revenue.
- Unfortunately, this^ means AI coding /marketing wouldn't go away. It'd just be far, far more expensive and require deeper approvals. Your boss will have AI and you won't be able to summarize it.
- China and the rest of BRICS will take over the free AI market because they can. Perfect opportunity for propaganda and cyber warfare here.
- Many software products that wrap base commercial models will see their operating costs skyrocket. They'll basically need to rip it all out, or embed a cheaper model.
- Essentially, companies who haven't built out a proper data/AI team will fail unless their base non-AI product is still relevant.
- Small companies will die when they fail to transition out of this mess. There will be a wholesale buyout, like the dot com crash. This means deeper consolidation at the FAANG level.
- We've had essentially an entire generation of juniors who had a cheap/free magical crutch for years. How will you train people to read, write and code again across every industry?
- The costs of cloud services will also skyrocket, since they need to pay off their bullshit AI hardware/data centre investments. We may see a return to on-prem/hybrid IT. (This will be REALLY interesting for how software evolves from the current SaaS model.)
- Some people will start hyping quantum, but we're at least 2+ hype cycles away from that.
- (This one's a wild guess.) The next hype cycle is probably going to be in hardware/wearables/physical space, but that's ridiculously expensive to get into. It'll basically just be marketing.
- The techbro doomers will claim to have predicted this the whole time. They'll have more than enough money to start the next hype cycle for the next round of VC/PE hot potato.
- Western governments are still going to try to implement "AI" even after the crash and the prices go up.
Prompt: When was the first time you felt like Toronto was home?
Many firsts, each with a different definition of Toronto.
- First best friend in elementary school.
- First time I came back as an adult to experience the city. Never really ever went down town until then.
- Every time I moved back to the city and fall in love with this place again.
- Moving downtown and experiencing the real vibe of a walkable neighbourhood and accessible transit.
- Working on a municipal campaign to understand the full size and scale of this city (and all of its complexities and needs)
- Every time I make a new friend fall in love with this place too.
This is my home. I like Toronto.
#Toronto
New #Introduction! I'm May (any pronouns, just use them with intention). A settler living on Treaty 13 territory of the Mississaugas of the Credit in Tkaronto/Toronto.
I care deeply about community, and that underpins almost everything that I do. My current active work is in building better B2B/B2B2C software product organizations, 2SLGBTQIA+ inclusive digital participation, and building local communities.
Trying to be a better human.
I don't even have a real character limit anymore. 😈
This is what I post about:
- Primarily #topoli, #onpoli, #cdnpoli. (It's election season for 2/3. Gonna be loud.)
- Attempting to de-FAANG my digital footprint.
- My product/org design/outcomes thoughts and work.
- Food and how it ties us together.
- And of course, shitposts.
May's tech-hype predictions for 2026
May's tech-hype predictions for 2026 onwards:
- The month after major public pensions and governments buy huge stakes in the AI companies (OpenAI, Anthropic, etc), the US AI bubble will start crashing. This will happen in 2026.
- At this point, free access to LLMs will go away. Corporate LLMs will raise their prices by at least 100x to make up for the loss in users and casual revenue.
- Unfortunately, this^ means AI coding /marketing wouldn't go away. It'd just be far, far more expensive and require deeper approvals. Your boss will have AI and you won't be able to summarize it.
- China and the rest of BRICS will take over the free AI market because they can. Perfect opportunity for propaganda and cyber warfare here.
- Many software products that wrap base commercial models will see their operating costs skyrocket. They'll basically need to rip it all out, or embed a cheaper model.
- Essentially, companies who haven't built out a proper data/AI team will fail unless their base non-AI product is still relevant.
- Small companies will die when they fail to transition out of this mess. There will be a wholesale buyout, like the dot com crash. This means deeper consolidation at the FAANG level.
- We've had essentially an entire generation of juniors who had a cheap/free magical crutch for years. How will you train people to read, write and code again across every industry?
- The costs of cloud services will also skyrocket, since they need to pay off their bullshit AI hardware/data centre investments. We may see a return to on-prem/hybrid IT. (This will be REALLY interesting for how software evolves from the current SaaS model.)
- Some people will start hyping quantum, but we're at least 2+ hype cycles away from that.
- (This one's a wild guess.) The next hype cycle is probably going to be in hardware/wearables/physical space, but that's ridiculously expensive to get into. It'll basically just be marketing.
- The techbro doomers will claim to have predicted this the whole time. They'll have more than enough money to start the next hype cycle for the next round of VC/PE hot potato.
- Western governments are still going to try to implement "AI" even after the crash and the prices go up.
Prompt: When was the first time you felt like Toronto was home?
Many firsts, each with a different definition of Toronto.
- First best friend in elementary school.
- First time I came back as an adult to experience the city. Never really ever went down town until then.
- Every time I moved back to the city and fall in love with this place again.
- Moving downtown and experiencing the real vibe of a walkable neighbourhood and accessible transit.
- Working on a municipal campaign to understand the full size and scale of this city (and all of its complexities and needs)
- Every time I make a new friend fall in love with this place too.
This is my home. I like Toronto.
#Toronto
The more I interact with people in the tech space talking about systemic problems, the more I start wondering what role power plays in all this.
The product managers being told to build business cases, then someone's pet project takes over.
That one admin who's the bottleneck to getting things done, through to executives exerting control over their domain.
Standards being set to make interoperability work, vs corporate control over the standards to keep the competition out.
It's all about power.
Treasure!
#TTC #toronto
Why is Lansdowne Station lit like an operating room?
#toronto
There is a lot of architecture happening here.
My professional friends are telling me to post on LinkedIn more so I can get a job. Yeah, I've built a small following on there, but I hate that place so much.
Donning corporate drag to do what, exactly? Feed a machine that steals your IP AND your engagement?
Sliced up a second perfect pineapple.
I am the pineapple whisperer.
I miss my pineapple tweezers though.
#pineapple
Posts are as ephemeral as my memory of that thing I was supposed to do and take care of but lord knows what it was.
@catsalad@infosec.exchange According to translate.com: choSuq
@catsalad@infosec.exchange and if you translate it back:
May Likes Toronto