AI Predictions 2026: The Future of AI, SaaS Collapse, Jobs, and Business Strategy

Описание: If you want to go deeper than the predictions and see how this thinking translates into real positioning and execution, here are the relevant resources tied to this talk:

Request access to the full 2026 Predictions slide deck:
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Apply to attend the next Driven event (January 2026):
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2026 isn’t going to be an incremental year—it’s a market reset. AI predictions 2026, future of AI, and AI trends 2026 all point to the same shift: AI is moving from experimentation to execution. AI utilization, enterprise AI, and real AI deployment are reshaping business strategy, the future of work, and the labor market. In this session, I break down what happens as AI automation becomes a job role, middle management collapses, SaaS valuations unwind, seat licensing dies, and new leverage emerges through AI operators, fractional operators, proprietary data, and small language models—the forces driving the next wave of AI disruption, digital transformation, and business opportunities heading into 2026.

In this talk, I break down my 2026 predictions across business, technology, labor, AI, SaaS, and investing, based on deep research and pattern recognition across multiple industries. We cover why AI is no longer a tool but a job role, what happens as utilization explodes inside corporations, why middle management collapses, how SaaS and seat licensing unwind, and where the real opportunities emerge as markets reset. Each prediction includes the butterfly effects that follow — because it’s not just about what changes, it’s about what those changes unlock if you position early.

Time Stamps
0:00 – Why 2026 is a reset year
3:00 – The 1,000-day AI opportunity window
7:00 – AI moves from demo to deployment
11:00 – What happens at 80% AI utilization
16:00 – The collapse of middle management
22:00 – The rise of fractional operators
27:00 – Franchise growth and capital shifts
33:00 – Robots writing half the world’s code
38:00 – The decoupling of SaaS
44:00 – Why seat licensing dies
50:00 – The collapse in SaaS valuations
56:00 – The rise of the AI Operator role
1:02:00 – How hiring and interviews change
1:07:00 – Trades vs white-collar economics
1:13:00 – Education shifts: CS, MBA, trade schools
1:18:00 – Small language models vs big LLMs
1:25:00 – Proprietary data as real IP
1:31:00 – What this means for builders and operators
1:36:00 – Final thoughts on positioning for 2026

If you’re trying to understand where leverage is actually moving — and how to position yourself, your company, or your career before these shifts fully materialize — this is a conversation worth studying carefully.

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