Business Wants The Future… But Only If The Past Approves It

Business loves to talk about the future.

Innovation… transformation… disruption… reinvention. We fill conference stages and annual reports with language that suggests we’re boldly marching into tomorrow. But the more I stand on stages and have these conversations around the world, the more I wonder if most organizations aren’t actually trying to build the future at all. They’re trying to make the future look enough like the past that it feels safe to approve. That thought kept resurfacing while recording this week’s episode of Thinking With Mitch Joel with Nicolas Darveau-Garneau. Nicolas (an old friend, former Chief Evangelist at Google and author of a new book, Be A Sequoia, Not A Bonsai) has spent his career helping organizations navigate major technology shifts, and one observation from our conversation has been rattling around in my noggin ever since…

Businesses often say they want what’s next… but what they really want is certainty.

Those are two very different things. Prediction has always been uncomfortable because it deals in probabilities, not guarantees. It asks leaders to move before every variable has been accounted for. It requires judgment. But somewhere along the way, we’ve convinced ourselves that enough data can eliminate uncertainty. We build bigger dashboards, commission more research and analyze more scenarios… not necessarily because it improves the decision (and it’s also not a bad thing), but because it makes us feel safer about taking a decision.

Let’s not dismiss data-driven organizations.

Better information = better decisions. But data can nefariously shift from being a source of insight to becoming a form of insurance. We don’t just want evidence… we want permission. It looks like many leaders approach AI are expecting it to behave like a spreadsheet. Give it enough information and it should tell us the right answer. AI generates possibilities, surfaces patterns, and (most often) offers a range of options. The hardest part… the deciding… that’s still us. Maybe that’s what makes this moment feel so different. For decades, we’ve treated leadership as the ability to reduce uncertainty. AI doesn’t remove uncertainty… it often expands it. It gives us more options… more possible futures. Which means leadership isn’t becoming less important… it’s becoming more consequential.

Which got me thinking: is AI challenging how we work or how we make decisions… or both?

Think about it this way… history suggests that no meaningful breakthrough ever arrived because someone found one more data point confirming it was safe. The leaders I’ve seen who shape what’s next don’t treat uncertainty like a bug… they treat it as the operating system of discovery.

Because the future has never asked for permission from the past.

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