{{first_name | Leader}}, welcome back.
The AI conversation today spans three levels. How people get rewarded, how powerful models become, and how much they really cost society. These are today’s updates.
Turn Figma files into interactive prototypes instantly*
Google launches Gemini 3.1 Pro
Altman disputes AI energy claims
Accenture ties promotions to AI usage
Tools, resources, and a prompt to build the 4-layer implementation framework. ⬇️
You already have the screens. Maybe even a full design system.
What you need is something people can actually use. Something they can click through in a meeting, test with a user, or show in a demo without saying “just imagine this part.”
Figma Make helps teams turn ideas or existing Figma files into interactive prototypes in minutes. It works with your current designs, not against them. Designers stay in control of craft. PMs and founders get something tangible to move conversations forward.
It’s not about replacing design. It’s about removing the waiting between idea and interaction.
Google introduced Gemini 3.1 Pro, the first upgrade in the Gemini 3 series. It scored 77.1% on ARC-AGI-2, roughly doubling its prior reasoning benchmark performance. The model is now in preview via the Gemini API, available to enterprises on Vertex AI, and rolling out to Pro and Ultra users in the Gemini app and NotebookLM.
Google is positioning this release around applied capability, especially in code animation, system synthesis like dashboard generation, interactive 3D design, and creative coding workflows. Broader availability is expected after preview feedback.
At the Indian Express AI Summit, Sam Altman called viral claims about ChatGPT using 17 gallons of water or 1.5 iPhone charges per query “totally fake” and outdated. He acknowledged that overall AI energy growth is a legitimate concern and advocated for scaling nuclear, wind, and solar energy to meet demand.
Altman compared AI training energy use to lifetime human energy consumption, arguing that once trained, AI queries are relatively efficient. He did not announce new disclosure commitments around water or energy usage.
Accenture now requires senior staff, including associate directors and managers, to demonstrate regular AI tool usage to qualify for leadership promotions. The company confirmed AI usage is a prominent factor in talent evaluations and tracks weekly logins in some regions. The policy excludes 12 European countries and U.S. government contract teams.
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Useful Resources
Is AI a cost center or a growth engine in your company?
💰 Funding
Pepper raised $50M (Series C) to expand its AI-powered commerce platform.
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💼 Roles in AI
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The 4-Layer Implementation Framework
When to use this?
When you’ve approved an initiative and want to ensure it actually gets implemented.
I’ll describe an initiative below.
Build a 4-layer implementation framework covering:
Ownership Layer
Single accountable owner
Supporting roles
Decision rights
Execution Layer
First 3 concrete actions
Weekly execution rhythm
Critical dependencies
Measurement Layer
1 leading indicator
1 lagging indicator
Failure threshold
Risk Layer
Top 3 implementation risks
Preventive controls
Keep it concise and operational. No theory.
Initiative: [describe the initiative clearly]P.S. Get more such prompts in the Prompting Playbook (free for you)
Stay curious, {{first_name | leaders}}
PS. If you missed yesterday’s issue, you can find it here.