Over the past couple of years, I’ve been closely following Salesforce’s AI journey.
And honestly, I’m struggling to answer a simple question:
Is this a continuous evolution… or a constant reset?
A New Vision, Every Time
Since the rise of GenAI, almost every Salesforce keynote has introduced:
- a new vision
- a new layer
- a new terminology
Einstein Copilot…
Einstein 1 Studio…
Agentforce…
Agentforce 2.0…
Agentic Enterprise…
Headless 360…
Each one sounds big. Each one sounds like the future.
But they don’t always feel like they are clearly built on top of each other.
Instead, it sometimes feels like:
we are redefining the story… again and again.
Even the AI Narrative Keeps Changing
It’s not just product names.
It’s also the AI philosophy itself.
- At one point, it was all about OpenAI
- Then Gemini Flash became “the future”
- At TDX, Claude took the spotlight
Same pattern:
A new model, a new narrative.
But What About the Core Vision?
This is where the real question begins.
Because enterprise companies don’t just buy:
- features
- demos
- or keynote excitement
They buy:
clarity and consistency
And This Is Where It Feels Unclear
Watching the latest TDX keynote, one thing stood out:
Salesforce is clearly moving toward:
- agents
- control layers
- deterministic + probabilistic hybrid models
Which, honestly, makes a lot of sense.
But at the same time, it raises a question:
Wasn’t the earlier narrative about removing complexity?
About:
- replacing workflows
- eliminating rules
- letting AI handle everything
Now We Are Back to Structure
Today, the message is different:
- define conditions
- control flows
- test outcomes
- manage behavior
In short:
AI needs rules.
So What Changed?
This is not a criticism.
It’s actually a sign of maturity.
But it also shows something important:
The industry didn’t fully know where this was going.
And Maybe That’s the Real Story
What we are witnessing is not a clear, linear roadmap.
It’s:
real-time learning at scale.
Big vendors are:
- experimenting
- repositioning
- rephrasing
- recalibrating
Final Thought
I don’t think Salesforce is lost.
But I do think:
the AI story is still being written, even by the biggest players.
And maybe that’s okay.
Because the real challenge is not:
building impressive demos
It is:
building systems that actually work in real business environments.
One More Thought
If AI truly needs:
- context
- structure
- control
then maybe the real question is not:
“Which AI model are we using?”
but:
“Do we have the right foundation for AI to work on?”