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🤖 Why yesterday was the best day to start collecting context…
Hector Kolonas (me!) argues that the real AI advantage for flex workspace operators isn’t just Expand 👇 adopting AI tools, it’s building a "context layer" that makes those tools smarter and more specific to your business.
I outline three realities: every platform will go AI-powered, token costs will rise before they fall, and context is what separates useful tools from genuine competitive edges. Not only are Syncaroo helping operators plan and deploy context layers, they’re also doing this internally to train Pinky, the AI brain that supports their team and clients.
Hector Kolonas (me!) argues that the real AI advantage for flex workspace operators isn’t just Expand 👇 adopting AI tools, it’s building a "context layer" that makes those tools smarter and more specific to your business.
I outline three realities: every platform will go AI-powered, token costs will rise before they fall, and context is what separates useful tools from genuine competitive edges. Not only are Syncaroo helping operators plan and deploy context layers, they’re also doing this internally to train Pinky, the AI brain that supports their team and clients.
Shift Workspaces operator Travis Low shares how they’ve built AI systems to monitor renewals, member Expand 👇 engagement, SEO, and sales strategy, going far beyond basic chatbot use, including an "AI board of directors" with distinct personalities to surface blind spots and critique the business.
🎢 The rollercoaster of ‘outsourcing’ everything to AI…
We’re seeing AI everywhere, and in almost every platform. But growing AI utilization at Expand 👇 Software-as-a-Service (SaaS) pricing is unsustainable. Marty Kausas, CEO at Pylon, points out that Cursor already ditched seat-based pricing for its Bugbot feature, and Salesforce has changed Agentforce pricing three times in 18 months, landing on a messy mix of all models at once.
The three main options out there, per seat, usage/credits, and outcome-based, each come with real trade-offs, and no one, including Pylon itself, has settled on what actually works. So if you’re seeing AI in your products, be sure to ask about which pricing model(s) you can expect today, tomorrow and next year.
We’re seeing AI everywhere, and in almost every platform. But growing AI utilization at Expand 👇 Software-as-a-Service (SaaS) pricing is unsustainable. Marty Kausas, CEO at Pylon, points out that Cursor already ditched seat-based pricing for its Bugbot feature, and Salesforce has changed Agentforce pricing three times in 18 months, landing on a messy mix of all models at once.
The three main options out there, per seat, usage/credits, and outcome-based, each come with real trade-offs, and no one, including Pylon itself, has settled on what actually works. So if you’re seeing AI in your products, be sure to ask about which pricing model(s) you can expect today, tomorrow and next year.
🔥 Token burn already impact ops overheads…
No seriously, token costs are going to be a whole thing. We’ve already covered rising AI costs this Expand 👇 week but…
Gregory Scott Henson shares an eye-watering chart and points to real signals like Microsoft canceling internal Claude Code licenses, Uber burning through its 2026 AI budget in four months, and GitHub dropping flat-rate plans as proof that the cheap AI era is ending.
The core problem is that per-seat revenue stays flat while per-token costs grow exponentially, squeezing margins for any AI product built on flat-rate pricing. His advice to business leaders? Price for a world where your model bill goes up, not down, and make sure your business can survive a 30% price hike from your model provider, or AI vendor.
No seriously, token costs are going to be a whole thing. We’ve already covered rising AI costs this Expand 👇 week but…
Gregory Scott Henson shares an eye-watering chart and points to real signals like Microsoft canceling internal Claude Code licenses, Uber burning through its 2026 AI budget in four months, and GitHub dropping flat-rate plans as proof that the cheap AI era is ending.
The core problem is that per-seat revenue stays flat while per-token costs grow exponentially, squeezing margins for any AI product built on flat-rate pricing. His advice to business leaders? Price for a world where your model bill goes up, not down, and make sure your business can survive a 30% price hike from your model provider, or AI vendor.
🫠 Is the org chart melting from the middle out?
Andrew Runnette at Biz Ops Studio lays out a structural shift: companies are quietly dropping Expand 👇 entry-level hires (junior dev postings down 53% per Indeed, per research from Erik Brynjolfsson’s lab at Stanford) while ramping up spending on fractional executives, now a $5.7B market growing 14% annually according to Vendux.
The new org shape is a small core team (see HI-C’s), with AI agents handling junior work, and senior fractional leaders or forward-deployed engineers brought in for specific needs.
The practical warning: if the entry-level pipeline dries up, there won’t be enough experienced senior talent to fill fractional roles in a decade, so companies and operators should start deliberately designing for this new shape now instead of defaulting to old hiring patterns.
Andrew Runnette at Biz Ops Studio lays out a structural shift: companies are quietly dropping Expand 👇 entry-level hires (junior dev postings down 53% per Indeed, per research from Erik Brynjolfsson’s lab at Stanford) while ramping up spending on fractional executives, now a $5.7B market growing 14% annually according to Vendux.
The new org shape is a small core team (see HI-C’s), with AI agents handling junior work, and senior fractional leaders or forward-deployed engineers brought in for specific needs.
The practical warning: if the entry-level pipeline dries up, there won’t be enough experienced senior talent to fill fractional roles in a decade, so companies and operators should start deliberately designing for this new shape now instead of defaulting to old hiring patterns.
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