The Advantexe Advisor Blog

A Learning Goal for Next Year: How to Make Something Out of Nothing

Written by Robert Brodo | Dec 23, 2025 1:18:06 PM

Here’s the scenario.

You’re a strong, mid-level manager. You’ve been tagged as “high potential.” And now you’ve been given a stretch assignment: present a clear roadmap to your department for how your team, and eventually the broader business unit, is going to integrate AI tools into the daily workflow to increase productivity and reduce costs.

There’s just one problem.

You’re not an AI expert.

Yes, you’ve experimented. You’ve used a few tools. You’ve automated some small tasks. But if you’re honest, you don’t feel remotely qualified to stand up in front of your peers and say, “Here’s the plan.” Your first instinct is to thank your manager for the opportunity… and then politely suggest that you’re not the right person for the job.

But then it hits you.

Your manager’s response is going to be: “Exactly. I picked you because I want you to figure it out.”

Now you’re on the hook.

You have to make something out of nothing.

And that, whether we like it or not, is a critical leadership skill in 2026.

In a post-COVID world, the companies that win will be the ones that build competitive advantage through leaders who can figure things out. Not because they have all the answers, but because they know how to create clarity where none exists.

Whether you’re developing an AI adoption strategy, rethinking a broken cash-flow process, or responding to a market shift no one anticipated, organizations will continue to need critical thinkers who can make progress without a playbook.

Based on years of experience and what we’re seeing across our business simulations and client work, here is a simple model you can apply anytime you’re asked to make something out of nothing.

1) Start With the Business Problem, Not the Tool

The fastest way to lose credibility is to lead with technology.

AI is not the strategy. Productivity, efficiency, cost reduction, speed, quality, decision effectiveness, etc. are.

Before you talk about tools, get crystal clear on:

  • Where time is being wasted
  • Where errors or rework are happening
  • Where decisions are slow, manual, or inconsistent
  • Where people are doing work, a system should be doing

When you frame the conversation around business pain points, you shift from “I’m learning AI” to “I’m solving real problems.”

2) Build a 70% Answer and Move

Waiting for certainty is just procrastination with better branding. You don’t need a perfect roadmap. You need a directionally correct one.

Create a first-pass view that answers:

  • What work should we stop doing manually?
  • What work could be augmented?
  • What work should remain human-led?
  • Where are the biggest, safest pilots?

Leaders who make something out of nothing don’t wait to be right; they move early, learn fast, and adjust.

3) Learn in Public (and Invite Help)

High-potential leaders don’t pretend. They orchestrate.

Be explicit:
“Here’s what I know. Here’s what I’m testing. Here’s where I want input.”

Talk to:

  • Your IT and data teams
  • Front-line employees doing the work today
  • Peers are experimenting quietly on their own
  • External partners who’ve seen this movie before

You are not expected to be the expert. You are expected to connect the dots.

4) Translate Everything Into Impact

No one funds curiosity. They fund outcomes.

Every idea should ladder up to:

  • Hours saved
  • Costs avoided
  • Revenue protected or created
  • Risk reduced
  • Capacity freed for higher-value work

Even rough estimates matter. They signal business acumen and force prioritization. This is where “interesting ideas” become “fundable initiatives.”

5) Turn the Assignment into a Repeatable Muscle

The real win isn’t the AI roadmap.

The real win is proving to yourself and others that you can walk into ambiguity and create momentum.

Once you’ve done it once, you can do it again:

  • New markets
  • New operating models
  • New technologies
  • New crises
  • New products
  • New processes

Thinking about Application

Making something out of nothing is not a one-time event. It’s a leadership capability.

In 2026, the most valuable leaders won’t be the ones with the best answers. They’ll be the ones who know how to build answers when no one has handed them one yet.

That’s not just a stretch assignment.

That’s a career-defining skill.