Market Disruption
3 conversational turns exploring this topic
Q: What market signals indicate disruption in our industry?
Subject: Ins7ghts: The Excel Uprising & What It Means For You
Friends,
Forget "AI will steal your job." The real disruption brewing isn't sentient code; it's the democratization of data wrangling. This week's data paints a clear, if unsettling, picture: Excel is back, baby, and it's leading a quiet revolution.
Yes, that Excel.
Before you dismiss this as another "citizen data scientist" fad, consider the context. We're not talking about pivot tables and VLOOKUPs anymore. The surge in Excel mentions (+132.4%) isn't about legacy spreadsheets. It's about its integration with AI, low-code/no-code platforms, and its surprising resilience as a data entry and light transformation tool.
Why Excel's Resurgence Matters (and Why You Should Care):
| Factor | Implication
Q: Which signal is most urgent?
Subject: Ins7ghts: The Excel Uprising & What It Means For You (Part 2)
Friends,
Forget "AI will steal your job." The real disruption brewing isn't sentient code; it's the democratization of data wrangling.
Last week we talked about the Excel Uprising. You asked which signal is most urgent. Here's the cold, hard truth: Your biggest threat isn't OpenAI, it's Microsoft.
Everyone's chasing the shiny object of GenAI, drooling over Sam Altman's pronouncements and Demis Hassabis's next move. Meanwhile, Microsoft is quietly weaponizing the tool everyone already uses.
Here's the breakdown:
| Metric | Excel | Sam Altman | Demis Hassabis |
|---|---|---|---|
| Mentions | 79 | 67 | 38 |
| Mention Growth | 132.4% | 116.1% | 192.3% |
| PageRank Growth | 19.2% | 17.3% | 10.4% |
The data is screaming: Excel is experiencing explosive growth in mindshare. Why? Because Microsoft is embedding AI directly into it. Think about it: Copilot in Excel isn't just a feature; it's a Trojan horse delivering AI-powered data analysis to hundreds of millions of users who previously relied on gut feeling and pivot tables.
The Noise: All the breathless coverage of foundation models and trillion-parameter models.
The Signal: The quiet revolution happening within the familiar grid of Excel.
My hot take? We're about to see a massive shift in data literacy. The barrier to entry for basic data analysis is collapsing. The citizen data scientist is already here, and they're armed with a tool they already know.
So, what should you do?
- Stop dismissing Excel. It's not your grandfather's spreadsheet anymore. Understand its new capabilities.
- Focus on higher-order thinking. The robots (and Excel) are coming for the repetitive tasks. Hone your skills in data storytelling, strategic thinking, and problem definition.
- Embrace the democratization. Don't fight it. Empower citizen data scientists within your organization. Provide them with the training and governance they need to be successful.
The future of data isn't about hoarding knowledge; it's about spreading it. Are you ready?
\- Yves
Q: How should we respond?
Subject: Ins7ghts: The Excel Uprising & What It Means For You (Part 3)
Friends,
The biggest threat to your six-figure data science salary isn't Python, it's pivot tables. You asked how to respond to the democratization of data wrangling. Here's the uncomfortable truth: stop building castles in the sand.
We've spent years perfecting complex ETL pipelines and bespoke machine learning models while the business is still exporting data to Excel and emailing it around. The urgency isn't about keeping up with the latest transformer architecture; it's about making data immediately usable by the people who need it.
Here's why this is so critical, and how to actually respond:
| Problem | Symptom | Root Cause |
|---|---|---|
| Data Silos & Accessibility | Business users rely on outdated spreadsheets for decision-making. | Data is locked in complex systems, requiring specialized skills to access and manipulate. |
| "Shadow IT" Data Solutions | Departments build their own (often flawed) data solutions in Excel. | Centralized data teams are too slow and unresponsive to business needs. |
| Lack of Data Literacy | Misinterpretation of data leads to poor decisions. | Data skills are concentrated in a small group, leaving the majority unable to effectively use data. |
The Hot Take: Anthropic just secured another massive funding round, pushing their valuation into the stratosphere. Everyone's focused on the "AI arms race," but I'm betting on the picks and shovels play. Companies like ThoughtSpot, Tableau (Salesforce), and even Microsoft (with its Power BI suite) are poised to win big by empowering everyone to analyze data, not just data scientists.
Here's what you need to do, starting today:
- Embrace the "Citizen Data Scientist": Stop hoarding data knowledge. Invest in training programs that empower business users to analyze data themselves. Tools like Alteryx and Dataiku are making this easier than ever.
- Build a Data Catalog, Not Just a Data Lake: A data lake without a proper catalog is a swamp. Make your data discoverable and understandable. Look at solutions like Atlan and Collibra.
- Focus on Actionable Insights, Not Just Algorithms: Ditch the vanity metrics. Prioritize projects that deliver tangible business value. Can you reduce churn? Increase sales? Optimize operations?
- Automate the Mundane: Use AI (yes, AI!) to automate repetitive tasks like data cleaning and preparation. This frees up your data scientists to focus on more strategic initiatives. Tools like Trifacta can help.
The future of data isn't about building bigger, more complex models. It's about making data accessible, understandable, and actionable for everyone. Stop fighting the Excel uprising and start empowering your business users. Your job might depend on it.
– Yves