
Welcome to today’s Midas Report! We keep you up to date on what’s happening in AI that matters to your bottom line.
Here is what is unfolding in AI today, January 22, 2026….
All eyes are on Claude's 'constitution layer'…
Anthropic just rewrote Claude’s constitution, and the timing tells you who the real audience is.
This new document launched January 21, 2026, replacing the original 2023 version, and it reads less like a developer note and more like an enterprise buyer’s comfort blanket.
The pitch is transparency, but not the hand wavy kind.
The constitution now uses a four tier priority system that puts safety, ethics, compliance, and helpfulness in order, so when Claude hits a messy edge case, it has a way to justify what it does instead of shrugging and guessing.
That matters because enterprise deployments do not fail in the obvious situations.
They fail in the weird ones, when a customer request collides with policy, regulation, brand risk, or a human being having a bad day.
Gartner analyst Arun Chandrasekaran basically says the quiet part out loud… the goal is judgment in unforeseen situations, and unexpected scenarios are inevitable in enterprise settings.
This is the real shift in AI buying.
Companies are less impressed by a flashy demo and more interested in whether the system can behave predictably when the environment gets unpredictable.
Or as Futurum’s Bradley Shimmin frames it, this is closer to philosophy and ethics than pure engineering, because alignment and trust are now product features, not side quests.
Zoom out and you can see the market hardening.
Open source heavyweights like IBM, Nvidia, Meta, and AI2 are pushing transparency through training data and methodology disclosures, while Anthropic is packaging transparency as a usable interface for decision making.
Different routes, same destination… trust plus performance is becoming the infrastructure layer that decides who wins regulated and high stakes deals.
If you build AI tools for organizations, take the hint.
Document behavior, not just results, and write it like your compliance lead, customer success manager, and legal counsel will all read it in one sitting.
The second order effects are coming next, too.
If constitutions become table stakes, expect audits, benchmarks, and governance layers to turn into the next battleground for differentiation.


🧠 The Download
Google bets big on emotionally intelligent voice with Hume AI deal… Voice is fast becoming the default interface, and Google is signaling that emotional nuance is a core feature, not a bonus track. This raises the bar for any product claiming to be “intelligent”… tone, cadence, and empathy may soon matter more than word choice.
Nvidia frames AI growth as an infrastructure megacycle with geopolitical risk baked in… $85 trillion in projected AI infrastructure spend gives software founders a new reality check… your margins ride on chips, power, and international policy. If you thought the cloud wars were messy, try building in a world where export licenses shape your platform roadmap.
Enterprise AI shifts from pilots to operating systems at scale… Ford’s 50,000 weekly internal AI users and Box’s full stack enablement push show that enterprise teams are finally extracting real ROI, not just running flashy demos.

Alibaba surged after unveiling its bid to challenge Nvidia by building a full stack AI infrastructure powered by custom chips, capitalizing on China’s push for tech self-sufficiency amid U.S. export controls. Broadcom is quietly becoming the plumbing kingpin behind AI, with AI-related revenue projected to hit a $50B run rate.
Humans just redefined audacity in AI funding, securing a jaw dropping $480M seed round at a $4.8B valuation… an eye watering bet on workflow native, human governance AI tools as the next enterprise frontier. Meanwhile, Genspark’s reported $100M ARR and OpenEvidence’s $12B valuation show that investors are doubling down on startups embedded in regulated, high-stakes industries where AI adoption isn’t theoretical.
Ethereum regained institutional momentum as BlackRock signaled long-term conviction. Binance’s abrupt delisting of pairs like AIBTC served a sharp warning… token exposure without distribution depth is a risk… especially when AI-fueled scams just hit a record $17B in real world damage.
Prompt of the Day
Once again, I find myself playing with Nano Banana… it’s just that good.
Today, we do a food nutritional breakdown with infographic style… all from one prompt. Worked well as you can see below.
This concept could work for nearly any niche on social media with some creativity.
Here’s the prompt used:
“Ultra-clean top-down (90° flat lay) infographic composition with playful candy aesthetic. A perfectly centered white ceramic plate sits on a seamless light background. On the plate: chocolate covered donut, shown in a precise cross-section or layered cutaway, revealing internal ingredients, textures, and structure with extreme clarity. PRIMARY FOCAL POINT (HERO ELEMENT): Above the plate, occupying a large portion of the upper canvas, place an oversized floating infographic bubble displaying: TOTAL CALORIES (research nutritional info for single chocolate covered donut) The calorie bubble features a playful candy design with bright colorful gradient background (pink to purple to yellow), candy sparkle effects, confetti elements, and fun playful typography with rounded shapes and bright colors. This is the first thing the eye sees. SECONDARY ELEMENTS: Surrounding plate, fill the remaining space with a dense, high-information infographic system featuring: – Playful candy style charts (protein, carbs, fats) with colorful data visualization and fun shapes – Playful percentage bars with candy patterns and textures – Candy-inspired icons with cute and fun designs – Playful temperature and time displays with colorful numbers and fun fonts – Measurement scales with candy grid patterns and colorful borders – Micro-diagrams with candy elements and fun details Use thin playful connectors with colorful lines, fun arrows with cute designs, candy pictograms, and radial playful charts clearly linking data to specific food components. Visual hierarchy rules: Calorie bubble = dominant Plate + food = secondary anchor Surrounding data = tertiary but dense and readable Design language: premium playful infographic, Apple UI × candy design, extremely clean, structured, and modern with fun and colorful elements. Color palette: natural food colors, monochrome playful UI with bright colorful accent colors (pink, purple, yellow, blue) for the calorie bubble and playful elements. Lighting: soft studio lighting with candy sparkle glow effects, zero clutter, flat background for maximum contrast. Output: 4:5, ultra-crisp, social-feed optimized, no watermark.”
Thanks for reading today’s Midas Report. We will see you tomorrow with what matters to you.
MIDAS AI


