Day 5 of 18 Days of Year-End Community Celebration!
Day 5 — One Prediction for Next Year
What’s one bold prediction you have for the tech/data/AI world next year?
Let’s see who’s right in 12 months!
8 replies
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Not so much a prediction as it is the direction we’re clearly heading: AI agents will become more robust, more autonomous, and far more embedded in how work gets done. As they require less human intervention, teams will increasingly rely on them as part of everyday workflows. Being comfortable with AI won’t just be a “nice to have” — it will become a core skill that companies expect across roles.
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I think that people will begin to see through AI-powered everything...
the AI-tech that will thrive next year will be the stuff that’s quiet & embedded into daily workflows!! -
Here’s a prediction I’m willing to be held to:
By this time next year, at least one top‑10 global enterprise will publicly rip out or materially sideline its traditional BI stack (think dashboards‑first tools) and replace it with an AI‑first decision and semantic layer — and they’ll explain why on an earnings call.
Not a pilot.
Not a Copilot bolted onto dashboards.
A deliberate platform shift.
Why?
Dashboards have hit diminishing returns. Executives don’t need better hindsight — they need faster, more confident decisions.
LLMs exposed the real bottleneck. It’s not query generation. It’s metrics trust, governance, and semantic consistency at scale.
The semantic layer becomes the control plane. Whoever owns business definitions, permissions, cost controls and explainability owns AI output credibility.
And CFOs will force the issue. AI spend + analytics sprawl + unclear ROI is no longer tolerated.
The signal to watch:
When terms like “decision intelligence”, “metrics as a product”, and “governed natural language access to the business” start appearing on earnings calls — not conference stages.
Dashboards won’t disappear.
But they’ll stop being the centre of gravity.
Let’s see who’s right in 12 months. -
AI tools will become far more seamless and embedded into everyday workflows.
By 2026, the biggest shift won’t be smarter models, but smoother experiences. AI will fade into the background instead of feeling like a separate destination you have to “go to.”Today, we constantly jump between tools, copy paste context, and explain the same things over and over. I expect that to go away AI will already understand your role, your data, your goals, and what you were just working on, without you needing to restate it.
We’ll move from prompting AI to collaborating with it.
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I think we will see the area of Data Science and Predictive Analytics continue to become more accessible to a wider variety of users while at the same time prompting more complex requirements from the true Data Scientist persona.
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My prediction is Pyramid Analytics is at the top of Gartner's Critical Capabilities for ABI platforms report (again)!