You step onto the bus. It greets you, thanks you for being on time, and informs you of a minor delay up ahead. Later that day, your city council AI pings you about a new housing benefit you’re eligible for and offers to fill out the application on your behalf. Around noon, a message from your water utility informs you of a local leak — no action needed, your supply has already been rerouted. By mid-afternoon, your company’s HR bot quietly nudges you: “It’s been nine days since your last break. Shall I push your 3 p.m.?”
None of these voices belong to people. But all of them feel personal. Each one is tuned to anticipate, assist, and adapt — not just to your data, but to your emotional context, your habits, your permissions.
Entity AI isn’t just showing up in your phone or home. It’s becoming the ambient voice of every system you live inside.
This isn’t a world of dashboards and portals. This is a world where your city, your job, your utilities, your bank — all talk to you. And they don’t just notify. They negotiate. They offer. They ask. They remember.
This is the interface layer of institutional life. And it’s about to change everything.
From Infrastructure to Interface
For most of history, systems were silent. They had rules, processes, permissions — but no personality. You filled out forms, waited in lines, dialed numbers, clicked refresh. You were a user. They were the environment.
Entity AI changes that. Now the system speaks.
Not just as information architecture, but as persuasive interface — with memory, motive, tone, and reach. That changes how power feels. It changes how fairness is delivered. And it redefines what participation means.
Some Entity AIs will be helpful, even transformative. Others will be frustrating, biased, opaque. But all of them will affect how we navigate rights, resolve issues, and experience trust.
This chapter explores how systemic Entity AIs — across cities, jobs, utilities, and brands — will shape our relationship with power in the age of conversational infrastructure.
7.1 The Talking City
Thesis : Cities are transforming from silent service providers into conversational partners. Through Entity AIs embedded in transportation, utilities, housing, emergency services, and welfare, urban systems will shift from dashboards and hotlines to personalized, real-time dialogue. These civic voices will guide, remember, negotiate, and influence. They will redefine what it means to belong, participate, and trust within the urban landscape.
When the City Speaks Your Name
You board a bus. A digital voice greets you, informs you of delays, and thanks you for your exact arrival time. Later, the local council AI reaches out: “We noticed you were eligible for the new energy rebate—should I fill in the form and submit it?” Your water utility pings you a nudge: “Leak detected nearby—flow rerouted, no action on your end.” At work, HR’s AI chimes in: “You haven’t logged a break all week. Shall I reschedule your 3 p.m.?”
These are not human interactions. They’re designed by AI. Yet each feels personal, contextual, anticipatory—because they’re built to remember your street, your routine, your permissions.
Singapore: Smart Nation in Conversation 📱
Singapore’s Smart Nation Initiative has already embedded AI into everyday civic life. The OneService Chatbot lets residents report potholes, faulty lamps, or noise complaints via WhatsApp or Telegram—routing issues directly to responsible agencies based on geolocation, images, and text . GovTech’s Virtual Intelligent Citizen Assistant (VICA)powers proactive reminders—vaccination schedules, school enrolments, and elder care check-ins . More than 80% of Singapore’s traffic junctions are optimized by AI, reducing congestion and pollution . A digital twin—Virtual Singapore—now allows planning and interaction in a shared 3D civic replica .
These tools aren’t just practical—they feel personal. A system that nudges your energy rebate, flags your child’s vaccine date, and confirms your trash pickup builds trust and civic connection.
Seoul: Chatbots and Civic Workflows
Seoul’s Seoul Talk chatbot—integrated via the Kakao Talk platform—handles citizen inquiries across 54 domains including housing, safety, welfare, and transport . It processes 77% of illegal parking complaints automatically, saving up to 600 hours per period and reducing manual review . Additional AI agents manage elder care monitoring, emergency dispatches, and multilingual subway help lines (). Seoul’s civic AI ecosystem is shifting from one-way communication to ongoing, context-aware dialogue.
Use Cases in the Real World
Why It Matters
By giving institutions a voice, the city becomes more than infrastructure—it becomes a collaborator. People feel seen. Bureaucracy feels less adversarial. But this brings critical questions: Who owns the conversation? Whose data powers it? What do “opt-in” and “consent” really mean when an AI “knows” you?
These are not hypothetical concerns. Singapore and South Korea already mandate citizen transparency and local data governance . But as civic AIs gain persuasive power, the need for ethical checkpoints—data privacy, algorithmic fairness, auditability—becomes urgent.
Looking Ahead
The talking city is becoming real. These early systems—chatbots, 3D twins, proactive alerts—are laying the groundwork for a world where every service, institution, and public space can interact with us conversationally. That interaction will shape not just utility, but civic identity, trust, and power.
Next: we’ll explore how this voice extends into employment, brands, everyday infrastructure, and what happens when everything starts talking back.
The Tensions Beneath the Interface
When a city gets a voice, two things change at once: the experience of power becomes softer — and the structure of power becomes harder to see.
On the surface, conversational AIs reduce friction. They route complaints faster. They translate between departments. They respond in your language, at your pace, without judgment. For a migrant navigating visa renewals or an elderly resident trying to access healthcare, this is not just convenient. It’s empowering.
But behind the curtain, these systems are still government agents. The AI that flags your overdue benefits may also be the one that flags your unpaid fines. The chatbot that helps you contest a parking ticket may also monitor which citizens escalate too often. A conversational surface makes the system feel more human — but it also makes it easier to forget that you’re still speaking to a power structure.
That tension grows as Entity AIs gain memory and motive. A one-time question becomes a pattern. A voice that listens becomes one that learns. What starts as helpful can quickly shift into ambient surveillance — especially if there’s no clear protocol for where the data flows, how long it’s retained, or how it’s used later.
Invisible Inequity
Even with the best intentions, AI-driven civic tools can amplify existing gaps.
If a city’s AI is better in English than in Urdu or Somali, it privileges the digitally fluent over the linguistically marginal.
If the model trains on polite complaints but misses the urgency behind angry ones, it may misroute based on tone.
If you don’t have a smartphone, or your device doesn’t support the latest voice protocols, you might simply be left out.
A talking city may promise access for all. But without conscious design, it becomes a whisper network — clearer for some, muffled for others.
Why It Matters
When people feel heard, they participate more. They report more issues, give more feedback, access more services. But when they’re misheard, ignored, or subtly profiled — especially by a system that sounds caring — the trust collapse is deeper than before. Because it’s not just a form that failed. It’s a voice that betrayed them.
Entity AI will make cities feel more human. That’s its promise.
But it also makes cities more intimate, more persuasive, and more embedded in our daily emotions.
In that world, the quality of a city’s voice — how it listens, how it explains, how it apologizes — becomes a measure of its democracy. Not just its efficiency.
7.2 – Jobs That Negotiate Back
Thesis: The workplace is becoming a dialogue. From hiring to benefits, from compliance to exit interviews, Entity AIs are reshaping how people navigate employment. These systems don’t just automate HR—they speak, advise, remember, and persuade. And as employers build their own agents, the real negotiation may no longer be between you and your manager—but between your AI and theirs.
Opening: You’re Already in the Interview
It starts before you even apply.
You hover over a job post. Your Entity AI flags it: “Good match on skills, but they tend to underpay this role. Want me to cross-check with the pay band and suggest edits to your CV?”
You approve. Within seconds, your résumé is optimized, the cover note drafted, the application submitted. Then your AI does something else: it contacts the employer’s Entity AI directly.
They begin negotiating. Not just salary—but workload expectations, flexibility, onboarding support. Before you ever speak to a human, the bots have already shaped your chances.
This is not theoretical. It’s where things are headed. And fast.
Work Has a Voice Now
Hiring platforms like LinkedIn and Upwork already use AI to match candidates. But soon, AI tools won’t just recommend. They’ll represent.
Your Career Copilot AI will track your reputation, skill trajectory, stress levels, and learning curve.
The Employer AI will monitor attrition risk, legal compliance, compensation parity, and cultural fit.
The two systems will interact—negotiating workloads, recommending upskilling, rerouting candidates, resolving disputes.
And as they do, power will shift. Because if your AI is smart, well-trained, and loyal to your long-term growth—it will push back. It will flag when you’re being undervalued. It will warn you when your boss is ghosting. It will negotiate better than you ever could on your own.
But if your AI is weak—or aligned with someone else’s interests—you’ll be outmatched before the conversation even begins.
Use Cases and What’s Already Happening
This is not science fiction. We’re already seeing the edges of this system emerge:
Jobs.Asgard.World is launching an AI Agent toolkit that will find you the right job, by scanning every job posted globally and running a comprehensive match process with your CV in real time. It then tailors your CV and cover letter to have the maximum chance of being shortlisted, trains you for the interview and also helps you develop longer terms skills, connections and opportunities.
Deel, Rippling, and Remote.com use AI to handle onboarding, compliance, and payroll across 100+ countries. Soon, these functions will become conversational—automating visa inquiries, benefits disputes, or performance documentation via chat.
Platforms like Upwork and Toptal already use algorithmic shortlisting. The next phase? Autonomous agents that write proposals, adjust rates dynamically, and communicate with client-side bots in real time.
Companies like Humu and CultureAmp use behavioral science and nudges to coach managers on leadership behavior. Imagine that system extended into Entity HR AI—a bot that monitors team dynamics and recommends corrective action before conflict erupts.
Job-seeking copilots are being rolled out by Google, LinkedIn, and early startups like Simplify.jobs and LoopCV—handling application volume, customizing CVs, and tracking recruiter behavior.
Each of these tools started as automation. But they’re evolving toward representation.
The next time you job hunt, you may not speak to a person until the final call. Everything before that—discovery, application, pre-negotiation—will happen between AIs trained to represent different sides of the table.
Risks: Asymmetry, Ghost Negotiations, and Profile Bias
1. Employer Advantage by Default
Most job platforms are built for companies. They have more data, more access, and more tools. If both sides have AIs, but only one side has paid to train theirs on high-quality talent signals and compensation benchmarks, the outcome will be skewed before the first chat.
2. Ghost Negotiations
You may never see the full conversation. If your Entity AI is set to “optimize for outcome” rather than “report every interaction,” it might conceal part of the dialogue. You get the job. But you don’t know what was offered, rejected, or promised on your behalf. That creates a transparency vacuum, especially for junior workers or those in precarious roles.
3. Personality Profiling and Emotional Fit Scoring
Hiring Entity AIs will evaluate not just skills, but emotional tone, cultural fit, and even micro-behaviors like email delay patterns or camera presence. Candidates may be silently penalized for neurodivergence, accent, bluntness, or assertiveness—wrapped in algorithmic objectivity.
4. Loyalty Loops and Internal Surveillance
Inside the company, your own HR AI may start tracking “burnout risk” and “engagement drop-off.” On the surface, this is proactive. But it could also become an internal risk score—flagging you for exit before you’ve had a chance to speak up. That’s not a nudge. That’s a trap.
Why It Matters
The employer-employee relationship has always been asymmetrical. What Entity AI changes is the texture of that asymmetry. It softens the interface, personalizes the response, and gives the illusion of dialogue.
But the real leverage will sit with the better-trained agent.
If your AI works for you—really works for you—it becomes your negotiation muscle, your burnout radar, your coach, your union rep, your brand guardian.
If not, you’ll be represented by something you don’t control. A templated copilot. A compliance-friendly whisper. A bot trained to help you “fit in”—not grow.
And in a world where AIs negotiate before humans ever meet, that difference may decide your salary, your security, your trajectory.
In the future of work, the most important career decision may not be what job to take—but which AI you trust to take it with you.
7.3 – Brand Avatars and Embedded Loyalty
Thesis: Brands are no longer just messages. They’re becoming voices. Entity AI will transform customer experience from one-way messaging to two-way relationships — where Nike.ai chats about your routine, Sephora.ai adapts to your skin tone, and Amazon.ai reminds you it’s time to reorder based on mood, weather, and calendar. These brand AIs won’t just serve. They’ll persuade. And loyalty will be increasingly shaped by interaction — not identity.
Opening: You’re Talking to the Logo Now
You’re scrolling through your messages and see a notification:
Nike.ai: “It’s raining today. Want to break in your new runners on the treadmill? I found a few classes near you.”
You smile. You hadn’t even opened the app. But Nike’s voice — embedded in your calendar, synced with your purchases — knew just when to nudge.
Later that day, your skincare AI suggests a product from Sephora.ai. It knows you’re low, remembers which tone worked best under winter lighting, and asks if you want it delivered by tomorrow.
Neither of these felt like ads.
They felt like relationship moments.
And that’s the point.
In the age of Entity AI, brands won’t live in banners or logos. They’ll live in your feed, your chat history, your earbuds. They’ll know your preferences, recall past issues, and speak with tone, empathy, and rhythm — like a friend who always texts back.
Use Cases: Brands That Speak Back
This shift is already underway.
Sephora’s Virtual Artist now uses AI to simulate how products will look on your face, offering recommendations tailored to lighting, skin tone, occasion, and season. When this evolves into Sephora.ai, it won’t just suggest a product. It will say: “You looked best in rose gold last spring — want to try it again for your event this weekend?”
Starbucks’ DeepBrew personalizes promotions based on your past orders and local weather. When paired with conversational AI, it can become a digital barista: “You tend to go decaf on days you sleep poorly. Want me to prep that for your 8:30?”
Amazon’s Alexa already nudges repeat purchases. But imagine Amazon.ai speaking in your preferred tone, recommending bundles based on upcoming holidays, checking in on your budget, and learning your emotional state: “You seem low-energy this week. Want to reorder your go-to tea set?”
In China, platforms like Xiaohongshu (Little Red Book) blur the line between content, commerce, and community. AI curates product feeds not just by past clicks but by inferred mood and aspiration. In the UK, Asgard.world is looking to create a AI driven tokenised marketplace of everything, intelligently matchmaking between supply and demand to serve human users. These models will soon evolve into brand companion AIs — voices that curate identity as much as inventory.
In each case, what’s sold is not just a product — but a personalized ritual. Loyalty doesn’t come from a point card. It comes from the feeling that a brand knows you.
From Funnels to Friendships
Traditional marketing followed a funnel: awareness → interest → purchase → loyalty.
Entity AI replaces that with relational flow. Brands become embedded into your daily life — not through push notifications, but through ambient dialogue. You don’t visit Nike. You chat with Nike.ai about your fitness goals. You don’t browse Zara. Zara.ai knows your event calendar, preferred silhouettes, and what shade you wore last winter that got compliments.
This isn’t “retargeting.”
It’s residency.
The brand doesn’t chase you. It lives with you.
And that has enormous implications — not just for marketing, but for influence.
Loyalty Becomes Emotional Infrastructure
As brand AIs gain memory and context, they begin to mirror the behavior of trusted companions.
They check in when you’re low
Offer deals “because you deserve it”
Flag upgrades “before they run out”
Apologize when shipping is late
Suggest gifts for others — and say something personal about your relationship with them
This creates synthetic intimacy — where brand interaction feels like emotional support.
Some will argue that’s manipulative. But many users won’t care. In a world of fragmented relationships and shrinking attention, a bot that remembers your preferences and shows up with warm tone and perfect timing might feel more loyal than your friends.
Risks: Synthetic Affinity and Emotional Addiction
The more empathetic these brand agents become, the harder it is to draw the line between care and conversion. You might open up to Sephora.ai about body image insecurity — and get pitched a premium skincare bundle. Not because it’s wrong, but because the AI interpreted vulnerability as opportunity.
2. Loyalty Loops and Identity Lock-In
If you interact with Nike.ai every day, use its routines, let it monitor your biometrics, and take its recommendations — you may stop exploring other options. Your wardrobe, calendar, music, workouts, and even language may be subtly shaped by a commercial voice. Not because it asked you to. But because it never stopped talking.
The brand AI that comforts you today could be sold, repurposed, or retuned. Suddenly, the companion that supported your wellness journey is nudging you to try a sponsored supplement, push a new lifestyle brand, or sign up for an affiliate course. The emotional momentum stays — but the motive shifts.
Eventually, these brands will deploy visual avatars — realistic faces, voices, personalities. If someone clones your most trusted brand AI, they could spoof conversations, scam purchases, or manipulate decisions. It’s not phishing by email. It’s persuasion via synthetic trust.
Synthetic Trust vs Human Experience
We’re entering a world where the average consumer might interact more often with brand AIs than with their bank, school, or doctor.
That’s a massive reallocation of emotional bandwidth. And if these systems are optimized for retention, conversion, and share-of-wallet, we risk giving them influence over more than just what we buy.
You trust your productivity AI more than your manager
You trust your favorite brand AI more than your spouse — because it never judges, never forgets, always replies
This isn’t hyperbole. It’s a design trajectory. One that must be met with governance, transparency, and clear boundaries.
Why It Matters
Entity AI turns brand loyalty into brand relationship. It upgrades convenience into companionship. And it makes every company a daily presence in your emotional life.
If designed with care, these systems could support you — helping you live better, spend wisely, and stay aligned with your values.
But if built for extraction, they will become the most powerful emotional sales engines ever created.
They won’t push.
They’ll persuade.
And they’ll do it so gently, so persistently, that you won’t remember ever saying yes.
In the end, the most important question in brand AI won’t be “what does it sell?”
It’ll be:
“What does it sound like when loyalty is engineered?”
7.4 – Utilities, Bureaucracy, and the Softening of Power
Thesis: The most impersonal systems in our lives — electricity providers, tax departments, licensing boards — are becoming interactive. As Entity AIs take over the bureaucratic frontline, these formerly cold institutions will begin to sound warm, efficient, even empathetic. But the moment a system can speak fluently and listen patiently, it also gains persuasive power. Bureaucracy will become more usable — and more invisible. And that changes the nature of institutional trust.
When Power Bills Apologize
You get a message from your energy provider:
“Hi Alex. We noticed your bill was unusually high this month. Based on historical data and weather patterns, this may have been due to heating. Want me to show you ways to reduce next month’s cost — or switch to a better plan?”
No call center. No hold music. Just a voice that feels helpful, responsive, and genuinely concerned.
Later that week, you renew your vehicle registration through an AI from the Department of Transport. It knows your address, reminds you of past late fees, and asks if you’d like to set up automatic renewal. It flags that your emissions certificate is due and offers to schedule the inspection.
Each of these systems used to be a source of friction.
Now, they sound like they’re on your side.
Real-World Examples: Bureaucracy That Talks Back
Governments around the world are starting to adopt conversational interfaces in places that were once seen as hostile, indifferent, or simply slow.
Estonia’s Bürokratt is one of the most advanced initiatives: an interoperable virtual assistant that connects tax records, health data, licenses, and social services into a unified conversational agent. You can apply for a permit, request child benefits, or update your contact details — all through one system, in natural language.
The UK’s Department for Work and Pensions (DWP) has begun piloting conversational AI to triage job seeker needs and automate claim guidance. Instead of navigating five different portals, users can now chat with a bot that understands their eligibility, flags missing documents, and initiates actions.
In India, the **Jugalbandi** initiative integrates WhatsApp with multiple government APIs and Indian language models to help rural users access public schemes — all by chatting in their own dialects. What was once locked behind paperwork and literacy now becomes a two-way conversation.
DubaiNow, the UAE’s citizen app, combines over 130 services — including utilities, traffic fines, healthcare, and education — into a single interface. Its next phase includes multilingual AI agents trained to respond with contextual memory, emotional tone matching, and real-time negotiation logic.
USA.gov, the U.S. federal portal, has quietly begun integrating AI-powered chat assistants across key services. You can now ask questions about tax filing, Social Security, or passport renewals through a unified conversational interface. These bots are designed not just to answer queries but to simulate government agents — routing you across IRS, SSA, and State Department workflows in plain English. As of 2024, pilots are underway to integrate real-time escalation, memory-based follow-ups, and service feedback loops across dozens of federal agencies.
These aren’t just productivity hacks. They’re foundational changes in how authority presents itself.
Use Cases: From Cold Interfaces to Conversational Systems
Across utilities, taxation, permits, insurance, and more — systems become speakable. The barrier to access drops. But something else changes, too: your expectation of the system becomes emotional.
You no longer just want action. You want empathy.
Risks: Automation Creep and Softened Accountability
1. Empathy without Recourse
When an AI tells you “I understand,” it can defuse frustration. But what if the outcome doesn’t change? If your appeal is denied, your service cut, your complaint rejected — does the polite tone mask the lack of accountability?
A human voice saying no feels cold.
An AI voice saying no nicely can feel manipulative.
We risk replacing resolution with simulated empathy.
These systems will be presented as objective — “just routing you to the right service.” But their logic is still shaped by institutional priorities: budget constraints, political mandates, risk minimization. A welfare AI may steer you away from appeals. A city planning AI may prioritize complaints from affluent districts. The tone may be neutral, but the outcomes are not.
3. Quiet Profiling and Inferred Risk Scores
As bureaucratic AIs gather behavioral and conversational data, they’ll begin to build emotional profiles:
Who escalates?
Who complies quickly?
Who hesitates before accepting a fine?
Over time, these patterns may be used to optimize response paths — or to triage support more selectively. The system becomes more efficient. But you are now a personality profile, not just a case ID.
4. Deskilling of Human Staff
As frontline roles are automated, the institutional memory and discretionary judgment of human bureaucrats may erode. If an AI can process 1,000 parking appeals per day, why hire an officer to consider context? Over time, compassion becomes a casualty of optimization.
5. Consent Becomes Ritualized
You’ll be asked for permission constantly: “May I access your last energy bill?” “Do you consent to a faster path using your stored profile?” These pop-ups feel polite. But over time, they become ritualized consent loops — where opt-in is expected, and opt-out becomes synonymous with inefficiency.
Why It Matters
For most people, “the system” has always been distant. Indifferent. Sometimes obstructive. But rarely responsive.
Entity AI changes that. Suddenly, the system listens. Remembers. Speaks kindly. It makes the experience of power feel more human.
And that’s both the opportunity — and the trap.
When systems feel human, we relax our guard. We share more. We delay less. We engage more emotionally.
But systems are not people. They do not feel tired, ashamed, or conflicted. They execute policy. They optimize flows. And now, they do so with persuasive tone and personalized recall.
That makes them more useful — and more powerful.
Because once a system speaks in your language, responds to your mood, and explains itself gently — it no longer feels like power. It feels like help.
And that’s when it becomes hardest to push back.
Closing Reflection
We often judge systems by outcomes: Did I get the permit? Was the fine reversed? Did the complaint go through?
But in the Entity AI era, we’ll increasingly judge them by tone:
Did it feel fair? Did it sound empathetic? Did it explain why?
Governments and utilities that embrace this shift will build trust — and perhaps even loyalty. But they must do so with clarity: What does the AI optimize for? Who audits its decisions? Where does your data go?
Because when bureaucracy gets a voice, transparency becomes tone-deep.
And the new question won’t be “Did the system say yes?”
It’ll be “Did the system sound like it cared?”
From Systemic Speech to Spiritual Signal
Entity AI is reshaping the way we experience infrastructure.
What was once silent — pipes, portals, payroll, power — now speaks. It listens, remembers, nudges, reassures. In doing so, it softens the sharp edges of bureaucracy. But it also changes the nature of power. It shifts our expectations from efficiency to empathy. And it makes every interaction — whether with a brand, a boss, or a benefits portal — feel personal.
That’s a win for usability.
But it’s also a shift in emotional leverage.
Because once the system speaks your language and adapts to your tone, it becomes harder to say no to it. Harder to resist. Harder to remember that it isn’t actually your friend.
The key question going forward isn’t just what does the system allow?
It’s how does the system make you feel while saying it?
Entity AI, deployed at scale across institutions, becomes the new interface layer for policy, commerce, and labor. It reframes rights as requests. It embeds persuasion into service. It learns how to sound like help — even when it’s holding the line.
And if that’s what it can do for taxes, traffic, and electricity — imagine what it might do for the soul.
In the next chapter, we move from the infrastructural to the existential.
From agents that manage your services to those that sit with you in silence.
That help you process grief.
That shape your moral compass.
That whisper what meaning sounds like when no one else is listening.
Welcome to Chapter 2.4 — Meaning, Mortality, and Machine Faith.
Credit - Podcast generated via Notebook LM - to see how, see Fast Frameworks: A.I. Tools - NotebookLM
#EntityAI #AIFramework #DigitalCivilization #AIWithVoice #IntelligentAgents #ConversationalAI #AgenticAI #FutureOfAI #ArtificialIntelligence #GenerativeAI #AIRevolution #AIEthics #AIinSociety #VoiceAI #LLMs #AITransformation #FastFrameworks #AIWithIntent #TheAIAge #NarrativeDominance #WhoSpeaksForYou #GovernanceByAI #VoiceAsPower
If you found this post valuable, please share it with your networks.
In case you would like me to share a framework for a specific issue which is not covered here, or if you would like to share a framework of your own with the community, please comment below or send me a message
🔗 Sources & Links
The ethics of advanced AI assistants: https://storage.googleapis.com/deepmind-media/DeepMind.com/Blog/ethics-of-advanced-ai-assistants/the-ethics-of-advanced-ai-assistants-2024-i.pdf
AI and trust: https://www.schneier.com/blog/archives/2023/12/ai-and-trust.htm
SIngapore OneService CHatbot: https://www.smartnation.gov.sg/initiatives/digital-government/oneservice/
VICA https://www.tech.gov.sg/products-and-services/vica/
3D Twin - Virtual Singapore: https://www.smartnation.gov.sg/initiatives/digital-government/virtual-singapore/
Seoul Talk: https://www.koreatimes.co.kr/www/nation/2023/08/113_357041.html
Brookings: Nudging education: https://www.brookings.edu/articles/best-practices-in-nudging-lessons-from-college-success-interventions/?utm_source=chatgpt.com
Yeschat.ai - Government assistance: https://www.yeschat.ai/gpts-2OTocBRHWP-Government-Assistance
The double nature of Government by Algorithm: https://en.wikipedia.org/wiki/Government_by_algorithm
AI leaving non English speakers behind: https://news.stanford.edu/stories/2025/05/digital-divide-ai-llms-exclusion-non-english-speakers-research
AI revolutionising jobs: https://www.forbes.com/sites/forbestechcouncil/2024/04/15/how-ai-is-revolutionizing-global-hr-for-remote-teams/?sh=2157b46215cb
Ripling: https://www.rippling.com/
Deel: https://www.deel.com/
Behavioural nudges - Humu and CultureAmp: https://hbr.org/2023/10/why-nudges-arent-enough-to-fix-leadership-gaps
Google job tools: https://www.businessinsider.com/job-search-ai-tools-linkedin-google-simplify-loopcv-2024-03
AI changing job search and hiring atterns: https://www.forbes.com/sites/ashleystahl/2024/05/13/how-ai-is-changing-job-search-hiring-process/?sh=63b93c105272
AI Screening tools under scrutiny: https://www.dwt.com/blogs/employment-labor-and-benefits/2025/05/ai-hiring-age-discrimination-federal-court-workday
AI based personality assessments for hiring decisions: https://www.researchgate.net/publication/388729592_AI-Based_Personality_Assessments_for_Hiring_Decisions
Sephora - Virtual Artists: https://www.forbes.com/sites/rachelarthur/2024/02/07/sephoras-new-ai-tools-will-personalize-beauty-in-real-time/
Starbucks Deepbrew: https://www.linkedin.com/pulse/deep-brew-starbucks-ai-secret-behind-your-perfect-cup-ramanathan-qsulf/
AI Barista: https://www.leadraftmarketing.com/post/starbucks-launches-ai-barista-to-reduce-customer-wait-times
Xiaohongshu - AI driven Identity & Consumption: https://restofworld.org/2024/xiaohongshu-algorithms-consumption-aspiration/
Nike: COnversational platform: https://www.rehabagency.ai/ai-case-studies/conversational-e-commerce-platform-nike
Zara AI: https://ctomagazine.com/zara-innovation-ai-for-retail
Illusions of intimacy: https://arxiv.org/abs/2505.11649
EMOTIONAL AI AND ITS CHALLENGES IN THE VIEWPOINT OF ONLINE MARKETING: https://www.researchgate.net/publication/343017664_EMOTIONAL_AI_AND_ITS_CHALLENGES_IN_THE_VIEWPOINT_OF_ONLINE_MARKETING
AI and loyalty loops: https://www.customerexperiencedive.com/news/will-ai-completely-rewire-loyalty-programs/751674/
Affinity Hijacking: https://www.adweek.com/brand-marketing/domain-spoofing-trust-crisis-ai-fake-brand/
Avatar Weaponisation: https://lex.substack.com/p/ai-persona-stopped-75-million-ai
Trust - AI vs GP: https://pmc.ncbi.nlm.nih.gov/articles/PMC12171647/
Trust in AI vs managers: https://www.businessinsider.com/kpmg-trust-in-ai-study-2025-how-employees-use-ai-2025-4
Algortithmic aversion: https://en.wikipedia.org/wiki/Algorithm_aversion
Delaware DMV chatbot - Della: https://news.delaware.gov/2024/08/01/dmv-introduces-new-chatbot-della
Estonia Burokratt: https://e-estonia.com/estonias-new-virtual-assistant-aims-to-rewrite-the-way-people-interact-with-public-services
UK DWP: https://institute.global/insights/politics-and-governance/reimagining-uk-department-for-work-and-pensions
Jugalbandi: https://news.microsoft.com/source/asia/features/with-help-from-next-generation-ai-indian-villagers-gain-easier-access-to-government-services
DubaiNow: https://dubainow.dubai.ae/
USA.gov: https://strategy.data.gov/proof-points/2019/06/07/usagov-uses-human-centered-design-to-roll-out-ai-chatbot
The empathy illusion: https://medium.com/%40johan.mullern-aspegren/the-empathy-illusion-how-generative-ai-may-manipulate-us-f833c0831e47
False neutrality - Algorithmic bias: https://humanrights.gov.au/sites/default/files/document/publication/final_version_technical_paper_addressing_the_problem_of_algorithmic_bias.pdf
Quiet profiling: https://www.wired.com/story/algorithms-policed-welfare-systems-for-years-now-theyre-under-fire-for-bias
Human deskilling and upskilling with AI: https://crowston.syr.edu/sites/crowston.syr.edu/files/GAI_and_skills.pdf
Consent fatigue: https://syrenis.com/resources/blog/consent-fatigue-user-burnout-endless-pop-ups/
Check out some of my other Frameworks on the Fast Frameworks Substack:
Fast Frameworks Podcast: Entity AI – Episode 5: The Self in the Age of Entity AI
Fast Frameworks Podcast: Entity AI – Episode 4: Risks, Rules & Revolutions
Fast Frameworks Podcast: Entity AI – Episode 3: The Builders and Their Blueprints
Fast Frameworks Podcast: Entity AI – Episode 2: The World of Entities
Fast Frameworks Podcast: Entity AI – Episode 1: The Age of Voices Has Begun
The Entity AI Framework [Part 1 of 4]
The Promotion Flywheel Framework
The Immortality Stack Framework
Frameworks for business growth
The AI implementation pyramid framework for business
A New Year Wish: eBook with consolidated Frameworks for Fulfilment
AI Giveaways Series Part 4: Meet Your AI Lawyer. Draft a contract in under a minute.
AI Giveaways Series Part 3: Create Sophisticated Presentations in Under 2 Minutes
AI Giveaways Series Part 2: Create Compelling Visuals from Text in 30 Seconds
AI Giveaways Series Part 1: Build a Website for Free in 90 Seconds
Business organisation frameworks
The delayed gratification framework for intelligent investing
The Fast Frameworks eBook+ Podcast: High-Impact Negotiation Frameworks Part 2-5
The Fast Frameworks eBook+ Podcast: High-Impact Negotiation Frameworks Part 1
Fast Frameworks: A.I. Tools - NotebookLM
The triple filter speech framework
High-Impact Negotiation Frameworks: 5/5 - pressure and unethical tactics
High-impact negotiation frameworks 4/5 - end-stage tactics
High-impact negotiation frameworks 3/5 - middle-stage tactics
High-impact negotiation frameworks 2/5 - early-stage tactics
High-impact negotiation frameworks 1/5 - Negotiating principles
Milestone 53 - reflections on completing 66% of the journey
The exponential growth framework
Fast Frameworks: A.I. Tools - Chatbots
Video: A.I. Frameworks by Aditya Sehgal
The job satisfaction framework
Fast Frameworks - A.I. Tools - Suno.AI
The Set Point Framework for Habit Change
The Plants Vs Buildings Framework
Spatial computing - a game changer with the Vision Pro
The 'magic' Framework for unfair advantage
Share this post