Morgane Oger

(I first published this as a post on LinkedIn)

We keep hearing bold AI predictions: 
one-person unicorns, zero-employee companies, the end of middle management, search dying, intelligence becoming free, and most knowledge work disappearing.

I’ve led large data platforms, AI deployments in regulated enterprises, and board-level change. I’ve navigated tough, public conversations where accountability never evaporates and AI remains a strategic toolset I leverage with care. 

What I see: AI elevates work only when humans treat its output as their own, with full responsibility, judgment, and accountability.

There is no safe future where we delegate accountability to a tool.

Where AI genuinely helps

AI shines when targeted at friction, not responsibility: 
• Removing rote tasks (debugging, refactoring, policy lookup, job descriptions) 
• Navigating complex systems (bylaws, tax rules, governance, certification) 
• Accelerating framing, not final decisions (contracts, strategy, pre-legal alignment) 

This boosts throughput without eroding ownership.

Where things go wrong

Trouble begins when AI output is treated as someone else’s responsibility: 
• Shipping code teams don’t fully understand 
• Rushing contracts without careful review 
• Prompting to get desired answers 
• Juniors producing without building wisdom 
• Search still controlling visibility and power 
• Rising supervision costs as execution speeds up 

Risk doesn’t vanish—it shifts downstream to audits, disputes, outages, and headlines.

The real risk isn’t AI replacing humans. It’s humans stopping ownership of AI-assisted outcomes.

The standard that matters

For AI to elevate work, users must act as if they authored the result: 

If you ship it, you own it. 
If you sign it, you stand behind it. 
If it harms someone, you answer for it. 

Because in law, ethics, and reality—you do.

AI amplifies expertise, speed, and scale, making work more satisfying. But only accountability will keep AI acceleration helpful. Without it, we just risk faster, more confounding failures.

#ResponsibleAI
#FutureOfWork #ArtificialIntelligence #ThoughtLeadership