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30% Productivity Boost: The AI Advantage
Goldman Sachs reveals how early AI adopters are outpacing competitors - and what you can learn from them
⏱️ Your Morning Brief (TL;DR)
Welcome back AI-curious executives!
Remember when everyone thought open offices would revolutionize work, and then we all bought noise-canceling headphones? The AI hype cycle feels a lot like that right now. This week, we've filtered out the noise on AI to bring you insights that matter to your business.
Here’s what’s in store for you this week:
We dive into a Goldman Sachs report on how only 6.1% of US companies use AI, but those who do see 30% productivity gains — creating a competitive divide as early adopters pull ahead.
6 interesting posts from the AI world
Learn how NotebookLM can turn dense research documents into an interactive podcast
💡 This Week’s Deep Dive
Only 6.1% of Companies Currently Use AI
Where does your company stack up? While most companies hesitate, early AI adopters are seeing a 30% productivity boost, widening the competitive gap daily. Goldman Sachs' latest report reveals that despite initial hurdles, companies successfully implementing AI are transforming their operations and outpacing competitors.
Adoption by Industry & Company Size
Leading Sectors: Finance and insurance firms show highest growth in adoption.
Declining Sectors: Information, education, and manufacturing report decreased adoption
Large Enterprise Edge: Companies with 250+ employees have 10% adoption rate and expected to increase significantly in next 6 months
What’s working?
Clear Problem Focus: ServiceNow cut customer service resolution time by 80% with AI - targeting specific pain points for measurable results.
Quick Wins First: Companies prioritize existing AI tools for immediate value, like financial firms using AI to rapidly update models.
Culture of Learning: Treat AI implementation as continuous improvement through testing and iteration.
People-Centric: Train employees to work alongside AI, positioning it as an augmentation tool rather than replacement.
What’s Holding Companies Back
Cybersecurity Concerns: Primary worry for small and mid-sized businesses
ROI Uncertainty: Difficulty identifying profitable use cases
Understanding Gap: Companies often unaware of existing AI capabilities
Perceived Complexity: AI implementation seen as intimidating
Cost Misconceptions: Assumptions about high implementation costs
GPTLDR Takeaways
Still on the AI sidelines or feeling behind? Don’t sweat it, start strategic, start small:
Focus on specific business challenges with clear ROI potential
Begin with high-impact, low-complexity projects
Prioritize applications in developer efficiency, customer service, or data analysis
Get your data infrastructure in order
Invest in workforce AI training and upskilling
Create safe spaces for experimentation and learning
📚 Interesting Reads
OpenAI's Economic Vision: Blueprint reveals strategy for industry-wide AI development and deployment
3 Strategies for Managing AI's Workforce Impact: Prepare your workforce and ensure smooth organizational transitions
AI Success Patterns: Study reveals key differentiators among companies effectively implementing AI
AI for Talent Development: Helping CHRO’s with Talent Development and Workforce Mobility
WEF Jobs Report 2025: Generative AI reshaping global workforce, highlighting urgent need for reskilling
🛠️ AI Tool of the Week

Ever wished your dense research documents could turn into an interactive podcast? Google's NotebookLM is making that possible. This free AI research assistant transforms your PDFs, web links, and documents into conversational content with a neat twist – you can now interrupt the AI presenters to ask questions.
Here's what makes it interesting: Instead of just passively listening to AI voices break down complex topics, the new "interactive mode" lets you jump in at any point. Think of it as having two knowledgeable colleagues discuss your research material, but you can tap them on the shoulder whenever you need clarification.
Quick setup:
Upload your materials
Hit "audio overview"
Enable interactive mode
Ask questions anytime
Whether you're digesting quarterly reports or technical documentation, NotebookLM adapts to your preferred format – from brief summaries to detailed study guides. Perfect for teams who need to quickly grasp complex information or leaders looking to make dense material more engaging. Try it out here.
🤔 AI Thoughts
The blueprint for success in the AI era is clear:
• Elevate humans to strategic roles
• Make AI decisions transparent
• Build small, elite teams
• Automate aggressivelyCompanies that adapt will thrive and those that don't will die.
— Heath Ahrens (@heathahrens)
4:13 PM • Jan 2, 2025
GPTLDR’s take - "It's not the strongest who survive, but the most adaptable" rings especially true in today's AI era. The winning move is replacing rigid hierarchies with small, empowered teams who can harness AI for rapid decision-making and execution.
🗳️ This Week’s Poll
Where is your company on its AI journey? |
👋 Until Next Week
To wrap up this week. Early AI adoption might feel like jumping off a cliff with a parachute you haven't tested. But as Goldman's research shows, the bigger risk might be standing on the edge too long while others learn to fly.
Stay curious,
Steve
P.S. - Reply with your biggest AI challenge – we'll tackle it an upcoming deep dive.
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