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July 26, 2026 · morning edition

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Good morning. Here is what matters in AI today, and how to put it to work.

AI is now a stated driver of layoffs at 20+ tech firms, signaling a structural workforce shift every engineering and product leader must plan for.

~2 min read · last 24 hours

Editorial cartoon on today's top AI story, KYFEX AI Edge, July 26, 2026

In today's issue

01 Monday.com cites AI for layoffs, joining a list of 20+ tech companies
02 Samsung's Galaxy Z Fold 8 may be the smarter foldable bet than its own Ultra
03 Samsung Galaxy Z Fold 8 Ultra vs. Motorola Razr Ultra: flagship foldables compared
Main story

Monday.com cites AI for layoffs, joining a list of 20+ tech companies

Monday.com is the latest in a growing roster of tech firms attributing significant headcount reductions directly to AI, part of a broader industry-wide restructuring trend in 2025.

Why it matters: If your organization is still treating AI adoption as purely additive, this pattern is a signal that boards and CFOs are increasingly expecting it to reduce labor costs, which will shape how AI investment cases are written and approved.

What to watch next: Watch whether the pace of AI-attributed layoffs accelerates into Q3 earnings season, when companies will face direct analyst pressure to quantify AI's cost impact on their income statements.

Monday.com's layoff announcement is the latest data point in a pattern we are tracking closely: AI is no longer just a hiring justification, it is now the stated reason companies are cutting headcount, and the list of firms doing so is growing fast.

Read the full story → TechCrunch

Watch · On the feeds

 

"There's probably a model for that."

NVIDIA Developer

The Signal

The accumulation of AI-attributed layoffs across more than 20 named tech companies marks a turning point: AI is shifting from a growth investment to a cost-reduction lever in boardroom language. For engineering leaders, this changes the internal politics of AI projects overnight, budgets that were framed as capability bets are now expected to show headcount offsets. At the same time, the premium hardware market is quietly settling on foldables as the next serious AI-capable mobile platform, which means the deployment surface for on-device AI is about to expand in ways that matter for enterprise roadmaps.

All the best, the KYFEX team

Quick hits

 

On-device AI shapes the flagship hardware race

Samsung's foldable lineup refresh shows that AI capability is now a primary differentiator in premium hardware, with both Samsung and Motorola betting that on-device intelligence justifies flagship pricing and form-factor risk.

Samsung's Galaxy Z Fold 8 may be the smarter foldable bet than its own Ultra

Samsung's Galaxy Z Fold 8 represents a calculated risk in balancing AI-powered features with accessibility, and early signals suggest it could outperform the Ultra variant in adoption.

Why it matters: For teams evaluating mobile deployment targets for AI-powered enterprise apps, understanding which foldable form factor gains real market share matters more than which one wins spec comparisons.

Read more at ZDNET →

Samsung Galaxy Z Fold 8 Ultra vs. Motorola Razr Ultra: flagship foldables compared

Samsung and Motorola are now direct competitors at the top of the foldable market, each offering distinct hardware approaches to integrating AI features into a premium device.

Why it matters: As foldables become a real enterprise form factor, knowing the competitive landscape helps procurement and app teams make durable platform choices rather than chasing a single vendor.

Read more at ZDNET →

Put it to work

 

Try this today

Draft an AI investment case that addresses workforce impact concerns

You are a senior AI strategy advisor. I am preparing an internal business case for an AI automation initiative. Help me draft a section that honestly addresses workforce impact: what roles may be affected, what retraining or redeployment options exist, and how leadership should communicate the change. Be direct, avoid jargon, and keep each point to two sentences or fewer. Assume the audience is a mixed group of technical leads and HR business partners.

Why it helps: With AI-attributed layoffs now a public pattern at 20+ firms, any new AI initiative will face harder internal scrutiny on workforce impact, and having a clear, honest answer ready will move approvals faster.

 

Responsible AI tip

When AI is cited as a factor in workforce decisions, be precise about what the technology actually automates versus what is a broader business restructuring choice. Conflating the two erodes trust with employees and can expose organizations to legal and reputational risk.

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Sources: TechCrunch, ZDNET

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