AI Is Now a Core Part of Your Next Computer Purchase
A Tool That Automates 80% of Your IT Support Tickets
š Todayās Edition
The Big Story: Appleās new chips signal that AI performance is now a key factor in business hardware decisions.
Trends: The autonomous trucking industry is maturing from hype to publicly traded reality.
The Workflow: How to generate professional marketing videos and images just by writing a prompt.
š AI News & Breakthroughs
APPLE MAKES AI A HARDWARE DECISION WITH NEW M5 CHIPS
Appleās upcoming MacBook Pros will feature new M5 Pro/Max chips with significantly enhanced Neural Accelerators, designed to speed up on-device AI tasks.
The Details:
The new chips focus on improving performance for AI and machine learning workloads without a major redesign of the laptop.
This move is aimed at professionals and businesses that are increasingly integrating AI into their daily workflows.
Why it matters (Strategic Analysis): This is a major market shift. For years, AI was a ācloudā service you accessed. Now, itās becoming a core component of the computers you buy. For founders and business leaders, this means your next IT hardware budget needs to account for AI performance. Choosing the right machine will no longer be about just RAM or storage, but about its ability to run powerful AI applications locally, potentially saving on cloud computing costs and increasing data privacy.
AUTONOMOUS TRUCKING GOES MAINSTREAM AS PLUSAI HITS PUBLIC MARKET
PlusAI, a leader in self-driving truck technology, has cleared SEC hurdles for a 2026 public listing, signaling a new phase of commercialization for AI in the logistics industry.
The Details:
PlusAI is merging with a SPAC to go public, accelerating its growth and deployment.
The company has strong partnerships with major truck manufacturers like Traton and Scania.
Why it matters (Strategic Analysis): This isnāt a tech demo; itās a financial maturation of a key AI sector. For business owners in e-commerce, manufacturing, or retail, this signals that the autonomous supply chain is arriving. While you may not own the trucks, the logistics partners you rely on will be adopting this technology, leading to second-order effects like lower shipping costs, faster delivery times, and a complete overhaul of supply chain strategy.
š ļø AI Tools to Discover
1. Rezolve.ai
Automate 80% of IT support.
Use Case: An employee has a problem with their printer or software. Instead of filing a ticket and waiting, they ask the Rezolve.ai bot in Slack or MS Teams, and it provides an instant solution or automatically resolves the issue.
Pricing: Paid
2. Gamma.app
Create presentations with AI.
Use Case: Generate an entire slide deck for a client pitch or internal meeting in under a minute. Just provide the topic and key points, and Gamma creates the design, layout, and content.
Pricing: Free & Paid Tiers
š” AI Prompts & Hacks
1. The Competitor Analysis Prompt
Context: Use this to quickly assess the strategic threat of a competitorās new feature.
āAct as a Senior Business Strategist. My primary competitor, [Competitor Name], just launched a new feature: [Describe the feature in 1-2 sentences]. My product is [Describe your product].
Your goal is to provide a concise strategic analysis in the following format:
1. Potential Threat Level: (High, Medium, Low)
2. Impact on my Target Customer: [Explain how it affects my customers]
3. Top 3 Recommended Actions: [List 3 concrete, strategic responses I should consider]ā
2. The Cold Outreach Prompt
Context: For generating a personalized email sequence to attract new B2B clients.
āAct as an expert B2B sales copywriter. I am the founder of a company that sells [Your Product/Service] to [Your Ideal Customer Profile, e.g., āChief Financial Officers at mid-size tech companiesā].
Write a 3-email cold outreach sequence with the following constraints:
1. Email 1: Focus on a specific pain point: [Insert a common pain point, e.g., āmanual invoice processingā]. Keep it under 100 words.
2. Email 2 (3 days later): Provide a valuable, one-sentence tip related to their problem. Do not pitch.
3. Email 3 (4 days later): Reference the first two emails and ask for a 15-minute call with a clear call-to-action.
Output Format: Three separate emails ready to be copied and pasted.ā
3. The Customer Feedback Synthesis Prompt
Context: To quickly identify actionable insights from raw customer feedback.
āAct as a Head of Product. I have pasted a list of raw customer feedback comments below from a recent survey.
Your job is to analyze this feedback and perform two tasks:
1. Categorize: Group all comments into positive, negative, or neutral sentiment.
2. Synthesize: Identify and list the āTop 3 Actionable Complaintsā that appear most frequently in the negative feedback.
[Paste your raw customer feedback here]ā
š§āš« AI Training: Workflow of the Day
How to Write an AI Prompt for Video & Image Generation
The Goal: Create professional-quality marketing assets without hiring a designer.
The Stack: An AI Image/Video Generator (e.g., LTX Studio, Midjourney, Ideogram)
Start with the Core Subject: Begin with the most important element (e.g., āA photo of a business owner at their deskā).
Add Descriptive Details: Layer in specifics about the environment, lighting, and mood (e.g., āin a modern, sunlit office, feeling confident and focusedā).
Specify the Style: Guide the AIās aesthetic (e.g., ācinematic lighting,ā ārealistic photography,ā āminimalist graphic designā).
Include Technical Parameters: For best results, define the composition (e.g., āwide-angle shot,ā āportrait,ā ā16:9 aspect ratioā).
Iterate and Refine: Generate your first version. If itās not quite right, add or change one variable at a time until you get the perfect result.
āAppleās focus on AI in its M5 chips confirms a fundamental shift: AI is no longer just software in the cloud, but a core component of the physical hardware we use to run our businesses.ā
ā Industry Analysis
In short: When planning your next budget, think of AI computing power as an essential utility, just like internet access or electricity.






This shift from cloud AI to on-device AI is honestly gonna change alot of purchasing conversations. I've been helping companies figure out their hardware refresh cycles and nobody was factoring in neural engine performance untill recently. Now you've got finance teams asking about TOPS ratings like they used to ask about RAM specs. The whole "AI as a core component" framing is spot on - it's not a nice-to-have anymore, it's basicaly infrastructure.