Happy Friday everyone,

IBM has announced a major acceleration of its Partner Plus strategy, focused on building a stronger, faster, and more outcome-driven ecosystem for the AI era.

This update matters.

I’ve spent years around the IBM ecosystem. I’ve been a judge at the Partner Plus event and I attend every IBM Think. What keeps me coming back is the partner community. These are teams that understand customers deeply and know how to turn technology into something usable, scalable, and valuable.

This announcement reinforces that belief.

As enterprises move from experimenting with AI to deploying it at scale, ecosystems become critical. No single company delivers transformation alone. Partners are the ones who implement, integrate, customize, and operate solutions in the real world.

With this enhancement of Partner Plus, IBM is clearly prioritizing:

- Growth for partners- Speed in execution- Better alignment across sales, delivery, and go-to-market- Stronger partner economics

This is not about more complexity. It’s about removing friction and helping partners focus on outcomes.

IBM is enhancing how partners are supported across the full lifecycle.

- There is stronger alignment between IBM sellers and partners- Improved incentives designed for long-term growth, not one-off wins- AI-enabled selling experiences that reflect how customers actually buy- More streamlined paths to market and co-marketing support

All of this points to one thing: making it easier for partners to win and scale.

This shift signals a move away from transactional partnerships and a leap toward shared outcomes. When partners are empowered with the right tools, incentives, and alignment, everyone benefits.

Customers get faster valuePartners build repeatable successInnovation moves from idea to impact

Having spent time with IBM partners across events and conversations, I see how powerful this ecosystem already is. This announcement strengthens the foundation even further.

It’s encouraging to see continued investment in partners as core drivers of enterprise AI adoption.

This is a meaningful step forward, and I’m excited to see how the partner community builds on their foundation with these enhancements.

Most people are mixing these up. Agent. AI Agent. Agentic AI. They are not the same thing.

An Agent follows rules.

If this happens, do that.

No thinking. No learning. Just execution.

An AI Agent can think within limits. It understands context. It can use tools.
But it still needs guidance.

Agentic AI is different.
It has goals.
It plans.
It acts.
It learns from feedback and improves over time.

This shift matters.

Because most teams are still building rule-based automation
While the world is moving toward systems that can run, adapt, and improve on their own.

If you are designing products, workflows, or data platforms in 2026
You need to be clear about which one you are actually building.

Not everything needs Agentic AI.
But pretending they are all the same is a mistake.

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Best,

Ravit Jain

Founder & Host of The Ravit Show