IBM Predicts 42% AI Productivity Boost by 2030

ALSO: How to Create Interactive How-To Guides in Minutes

📖 Today’s Edition

• The Big Story: IBM study reveals executives expect AI to drive a 42% productivity gain by 2030, shifting focus from cost-cutting to innovation.

• Trends: A major AI startup’s collapse highlights the intense talent wars and investment risks in the current market.

• The Workflow: A step-by-step guide to creating interactive software tutorials and SOPs automatically.

🚀 AI News & Breakthroughs

IBM: AI TO FUEL 42% PRODUCTIVITY BOOST BY 2030

A new IBM study shows that business executives expect AI spending to shift from efficiency to driving innovation, projecting a 42% productivity increase by 2030. The study indicates a strategic pivot from using AI for simple cost savings to leveraging it for substantial business growth. Executives surveyed anticipate that AI will help eliminate resource constraints, opening up new avenues for expansion. This isn’t just a forecast; it’s a strategic roadmap. For founders and SMB owners, it signals that the time for AI experimentation is over. The competitive advantage will go to those who reinvest the time saved from AI automation into core business innovation—product development, market expansion, and customer service. Your competitors are already planning for this. Read more

HIGH-PROFILE AI STARTUP IMPLODES, REVEALING MARKET RISKS

Thinking Machines Lab, a startup founded by ex-OpenAI CTO Mira Murati that raised a massive $2B seed round, has reportedly collapsed amidst internal turmoil, with key talent returning to OpenAI. The sudden unraveling of a well-funded startup highlights the extreme volatility and intense competition for top talent in the AI sector. The event serves as a cautionary tale for investors pouring capital into the AI space without scrutinizing team stability and execution risk. This is a critical lesson in due diligence. When choosing AI vendors or partners, look beyond the hype and funding announcements. The stability of the founding team is a major indicator of a vendor’s long-term viability. A vendor’s collapse could leave you with unsupported, mission-critical software. Read more

🛠️ AI Tools to Discover

1. Guidejar

Create interactive tutorials instantly.

• Use Case: Automatically generate step-by-step guides and SOPs for employee training or customer onboarding simply by recording your screen.

• Pricing: Free & Paid plans

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2. EmailCraft AI

Write high-converting sales emails.

• Use Case: Analyze your target audience and product description to generate personalized email sequences that increase open rates and book meetings.

• Pricing: Paid

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💡 AI Prompts & Hacks

1. The Productivity Reinvestment Prompt

Context: Use this to strategically plan how to use the time and money saved from AI-driven efficiency gains, inspired by the IBM study.

“Act as a Chief Strategy Officer. Our company has saved [Number] hours per week and [Amount]$ per month by implementing AI for [Specify Task, e.g., customer support].

Your goal is to create a strategic plan to reinvest these resources. Generate three distinct initiatives that focus on:
1. Product Innovation: A specific, new feature or service we can now afford to develop.
2. Market Expansion: A new customer segment or region to target.
3. Competitive Moat: An investment in customer experience or brand that our competitors cannot easily replicate.

Output Format: A concise memo outlining each initiative with its expected ROI.”

2. The AI Upskilling Program Prompt

Context: For business leaders who need to prepare their teams for AI transformation, based on the news about HR’s role.

“Act as an HR Director specializing in digital transformation. I am the founder of a [Industry, e.g., marketing agency] with [Number] employees.

Your goal is to design a 3-month AI upskilling program. The program must be:
1. Role-Specific: Suggest one key AI tool for the Sales team, one for Marketing, and one for Operations.
2. Action-Oriented: Include a small, practical project for each team to complete using their new tool.
3. Measurable: Define one key metric to track the program’s success (e.g., ‘reduction in time spent on X’).

Output Format: A structured plan with sections for each team, including the tool, project, and success metric.”

3. The AI Vendor Due Diligence Prompt

Context: Use this to vet a new AI software vendor, prompted by the Thinking Machines Lab collapse.

“Act as a seasoned CTO conducting due diligence on a potential AI software vendor. The vendor is [Vendor Name], and they provide [Service, e.g., an AI sales forecasting tool].

Your task is to generate a list of critical, non-technical questions to ask their team. The questions should assess:
1. Team Stability: Inquire about the founding team’s history and key employee tenure.
2. Financial Viability: Ask about their funding, runway, and business model without being intrusive.
3. Product Roadmap: Understand their long-term vision and how they plan to stay competitive.

Output Format: A numbered list of at least 5 probing questions ready to be used in a meeting.”

🧑‍🏫 AI Training: Workflow of the Day

How to Create Interactive SOPs & Tutorials Automatically

The Goal: Save hours on training and documentation by creating visual, step-by-step guides without manual effort.

The Stack: Guidejar (Free & Paid)

Step-by-step:

1. Install the Extension: Add the Guidejar Chrome extension to your browser.

2. Start Recording: Click “Start Capture” and perform any process you want to document (e.g., how to create a report in your CRM).

3. Stop and Generate: Once finished, click “Stop.” Guidejar automatically converts your actions into a series of annotated screenshots.

4. Customize and Share: Edit the text, add notes, and blur any sensitive information. Share the final guide with a simple link.

Open Tutorial

“By 2030, surveyed executives anticipate AI spend to shift from efficiency gains to innovation and growth.”

— IBM Study

The conversation is changing. Stop asking “How can AI cut our costs?” and start asking “How can AI grow our revenue?”