1

OpenAI Releases GPT-5.6 with Sol, Terra, Luna Tiers

After a White House cybersecurity delay, OpenAI shipped GPT-5.6 to the public with three distinct capability tiers: Sol (highest), Terra, and Luna. Alongside it, the new ChatGPT Work agent can run multi-app projects for hours without supervision. For enterprise teams, this is a signal that AI "coworkers" capable of sustained execution — not just quick answers — are entering production.

Read on Anicca →
2

Starbucks Building In-House AI to Cut $400M in Software Spend

Starbucks is developing homegrown AI-powered tools to replace Microsoft inventory systems and IBM maintenance platforms — aiming to slash $400M in annual software costs. This is either visionary cost-cutting or a case study in corporate hubris. The real question for enterprise software vendors: when AI makes "build vs. buy" tilts toward build, what happens to your TAM?

Read on Motley Fool →
3

Salesforce: AI-Assisted SDR Workflows = 38% Drop in Cost-Per-Lead

Salesforce's 2026 State of Marketing research found B2B teams running AI-assisted SDR or content workflows saw a 38% drop in cost-per-lead alongside more meetings booked per rep. This is where AI is genuinely paying off — not in generating more content, but in automating the repetitive outreach that burns SDR time.

Read on Big News Network →
4

Deloitte: 80% Confident in AI, 75% Say Operating Models Must Change

Deloitte's 2026 Global Technology Leadership Study reveals a paradox: over 80% of senior IT executives are confident in their ability to deploy and govern AI at scale, but 75% believe operating models and business processes must change substantially in the next 12-18 months. The implication: your AI use cases will increasingly need governance documentation. Start building that muscle now.

Read on Anicca →
5

MarTech's Shift: From Demographics to AI-Driven Intent Modeling

MarTech Series makes the case that the future of marketing isn't knowing who customers are — it's predicting what they'll do next. Modern AI models analyze millions of interactions to identify buying signals far earlier than traditional methods. The shift from targeting demographics to orchestrating intent-based experiences is reshaping how MarTech platforms justify their value.

Read on MarTech Series →

💡 My Take

Read this one: The Starbucks story. When a company with Starbucks' scale decides to build rather than buy enterprise software, it's a warning shot at the entire SaaS industry. AI is making internal development faster and cheaper — and that changes the math on every "land and expand" motion in enterprise sales. If you're marketing enterprise software, this is the trend to watch.

Subscribe to The Full Stack

Get notified when new essays are published.

Subscribe →