Allie K. Miller

This is absolutely insane and proof that voice is about to transform the workplace.

At Wispr Flow, employees use voice hundreds of times a day to multitask across their entire workflow.

Wispr CEO Tanay Kothari shared with me that one investment banking group cut down email time by 60% with their voice tech.

The image below is one dev using Cursor and Gmail simultaneously, all through WHISPERING, on a $60 mic.

Wispr usage numbers you should hear:
New users talk to Wispr Flow for 19% of their work in month 1… by month 5, it’s more like 78%.

The ratio completely flips.

Typing is ancient.

The future is voice-first.

We need more ENTs in health if we’re going to talk this much!

I just got back from ServiceNow World Forum in London, and I can’t stop thinking about this: we’re at a crossroads with AI. #ServiceNowPartner

Some companies are stuck playing the productivity banjo - optimizing what already exists, squeezing out cost savings. Others are thinking bigger: using frameworks like my “faster, better, new” model to actually reimagine how work gets done with people and society at the core.

The gap between these two mindsets is widening fast, and most organizations don’t realize how behind they are.

ServiceNow’s message was clear: if you’re only focused on efficiency, you’re missing the bigger grassroots reinvention.

Here’s what stood out:

1️⃣  AI agents are getting proactive.
In one demo, an employee got locked out while trying to approve an urgent offer letter. The AI agent solved the problem *and* detected a VPN outage in real time, flagged the risk, filed a priority ticket, and suggested a fix that could be immediately approved for the AI to handle. Problems are getting handled before they impact work.

2️⃣ Autonomous doesn’t mean zero accountability.
The keynote kept hammering this home: agents propose actions, policy validates them, every step gets logged, and humans can pause or override in real time. That’s one way you scale AI without losing your grip on governance. It’s not about letting 800 agents run wild (though, yes, that sounds like a fun science experiment).

3️⃣ Hundreds of us built agents in minutes.
There were 20+ computers lined up with ServiceNow engineers ready to guide anyone through building their first agentic workflow. I watched people who’d never touched this technology create multi-system workflows in real time.

If your team is exploring autonomous business operations, here’s more on the ServiceNow AI Platform: https://lnkd.in/e5dDxf8D

#ServiceNowWorldForum

Claude Code is the closest thing we have to an AI OS for your laptop.

It can talk to your file system, create/edit docs, spin up dashboards and slide decks, inspect Activity Monitor, and queue actions you approve, all in natural language.

It works like a few tireless interns.

And I love it.

If you’re a business person, use it to turn messy folders into customer-ready outputs fast (presentations, reports, expense summaries) without shuttling data through random web apps.

I made a super-easy ABSOLUTE beginner demo that walks you through setup, permissions, and demos, here’s the link: https://lnkd.in/emCUynNt

I’ll be joining Tony Robbins, Dean Graziosi, and seven AI experts for what could be the biggest AI event of 2025. Wanna come?

➡️ The AI Advantage Summit is on November 6-8

It’s 100% free and 100% remote and 99% fun (okay, fine 100%).

This event is built around one big reality for entrepreneurs and SMBs: most businesses don't need every tool or every update. They need to buy back time and use it as leverage.

AI can return 15+ hours per week when deployed correctly. But only if you've got the right tools, the right system, and the right mindset.

That's what we're calibrating for at this summit.

My mission has always been making AI accessible and operational for business owners, entrepreneurs, and professionals who want to implement these tools without the overwhelm. This summit brings that approach to scale. We are going to have literally hundreds of thousands of people at this event live.

(If I’m being real, I’m a little nervous I’m gonna burp live, but hey, that’s showbiz.)

Three days.
Nine hours.
Eight AI thought leaders.
All virtual.
No cost.

If you're an entrepreneur or side hustler and you’ve been trying to figure out where AI fits into your operations, this could give you the breakthrough you need.

Link to register: https://lnkd.in/eBTvcGVM

I went to Madison Square Park and held a FREE AI training. Here’s how it went.

One of the first folks to stop by had heard of ChatGPT but hadn’t used AI yet. So we jumped into how to open ChatGPT on desktop and mobile, then walked through Agent Mode and Deep Research, and it clicked faster than they expected.

Here’s your reminder that if you can use AI, you can teach it. Take two minutes to show someone next to you a small demo - you never know what helps move them forward.

More videos from the park coming soon.

Your laptop can run AI without internet. Here’s how ⤵️

I was on a flight last week and wanted to use ChatGPT to help me prep a presentation before landing. Then the flight attendant announced the Wi-Fi was down. I almost threw my laptop.

If you've been there too, here's your fix: run AI locally on your laptop.

I use LM Studio (Ollama works too), and it takes about two minutes to set up. You download the software, grab whatever open-source models you want - I'm running gpt-oss, which performs like o3-mini - and you're good to go. Everything runs on your machine's compute, nothing leaves your laptop. You can brainstorm, draft, refine, and problem-solve on flights without Wi-Fi, in cafes before they give you the password, or anywhere else the internet decides to fail you.

If you're constantly mobile or work in places with sketchy internet, add this to your toolkit.

Repost and save for later ♻️

One of the biggest CEOs in the world just shared the importance of human-centered experiences in the AI age.

The CEO of Airbnb Brian Chesky said at Masters of Scale:

“The other thing I’ll say about AI is the term AI - the important term, is artificial.

We are now living in a world, as of last week, with video content, where you cannot know for certain - there could be digital like fingerprints, that this is real but - we’re gonna go in a world where it’s not clear that what you’re seeing is real.

In other words, now you can’t tell.

And I think that’s maybe the point of it - that in the future, if it’s on a screen, it will be artificial, or it could be artificial. And so you want to ride a trend when you’re on the opposite of a trend, and the opposite of artificial is real.
The opposite of screen is the real world.”

Quick story on working toward a dream ⬇️

Last week I met with Gap.

And that is crazy because I met with them over 15 years ago and had a dream of coming back there and working with their incredible team.

I’m a little older and a little less tan (daily sunscreen ftw), but proud of this growth.

Don’t forget to look back and thank the Allie [insert your name here] that came before you 💪

There are next-level life hacks hidden everywhere - and here’s a new book that’s full of them.

Even better: it’s written by my favorite Economics professor from Wharton, Judd Kessler!

He told me over lunch something that most job hunters haven’t realized: AI has killed the cover letter.

We used to view a high-quality cover letter as a sign of effort. Hey, you took the time to research my company deeply. You know our department heads and their recent media quotes. You know our recent shareholder meeting details. You know the club I started in high school. You know my blood type.

And we viewed that as a signal amongst the noise.

But AI gives us all the ability to write that perfect cover letter. And instead of it taking hours, it takes minutes.

So economic theory tells us to ditch the cover letter immediately and find NEW ways to provide signal to hiring managers. And while ChatGPT can be used for support, you stand out by doing something AI can’t do on its own.

Getting jobs in the AI age:
- network at industry events (AI helps you prepare)
- get a warm intro (AI helps you find one)
- participate in open hackathons (AI helps you build)
- take a tour of the office/facility (AI helps you plan)
- go to company conference (AI researches contacts)

I’m in love with the book. And I’m not the only one. Lin-Manuel Miranda wrote a whole post about it. You can grab it here: https://lnkd.in/eHhjk23k

Anyone else nerding out on AI and economics? Read chapter 6 👀

Have you witnessed the level of AI multitasking insanity happening right now?

This is 6 Claude Code terminals running in parallel on my laptop.

Multi-agent chaos is my new normal 😍

More non-engineers should be learning to use Claude Code.

Two things stopping them:

1) it’s in a terminal and terminals are icky for business folks (if you say “omg no it’s so easy”, it’s probably because you’re a dev)

2) Most use cases I’ve seen shared online are either too complex or can be accomplished just as effectively with web-based Claude ai

TLDR it feels inaccessible.

BUT - for the brave and early adopters among thee - there are specific use cases where Claude Code offers distinct advantages, particularly for working directly with files and systems *on your computer* without uploading anything to web applications.

⬇️

Examples from people using it:
- analyzing and batch-translating audio files
- improving image quality across hundreds of screenshots
- the growth marketing team at Anthropic built workflows that process hundreds of ads, identify underperformers, and generate new variations within strict character limits using specialized sub-agents

Most of those still skew technical.

Here are crazy easy examples for non-engineers looking to start:
- create a new document in x folder
- edit said document and save a new version 
- create a fake csv of data, ask for 3 HTML files with 3 different presentations of it (interactive dashboard, slides, slides in McKinsey style)
- ask why the heck your computer is slowing down or acting weird (ex: checking Activity Monitor, memory, disk space, and suggesting specific fixes)
- review your document and file management structure and get recommendations for improvements
- process computer files with batch updates like rename/reorganize/reformat hundreds of files following specific rules (add “_FINALFINALv3” to the end of each file name in my client presentation folder) 
- extract insights from a folder of local files without uploading them (ex: review all contracts in my contracts folder and pull out key risks or renewal dates)
- analyze content across multiple files (ex: review all presentations in my client pitch folder and identify gaps in sales messaging)

⬆️

The core advantage: you’re working with systems and files locally.

What I have been saying for over 5 years and just now really starting to feel because of Claude Code: AI is an OS.

These systems will undoubtedly become more accessible over time.

For now, Claude Code is still mega calibrated for engineers or the very early adopters within non-technical groups.

The vast majority of engineers in silicon valley have been using these systems for months. I’m advocating for non-engineers to start experimenting NOW.

If you guys want a crazy easy to follow tutorial on setting up Claude Code on a Mac, similar to what I created for Claude computer use, let me know in the comments.

(And I’d maybe also include my top tips so you don’t have to memorize all the command options ☺️)

Most employees still don’t know how to protect against the new generation of security and data privacy risks that come with AI.

Here are the top issues every enterprise should be preparing for right now — and some defense starters that actually work ⤵️

These are just starting points and do not represent all risks with AI. An AI-first mindset requires AI literacy, and with that, the ability to reason - the best AI approaches start with understanding the risks and tradeoffs.

🧠 Develop your AI-First Mindset: https://lnkd.in/eNAq9DMK
💡 Follow me Allie K. Miller for more on AI and business.

It's intimidating to early AI users to come up with a whole "AI strategy".

I spent years at AWS and IBM bridging that gap and translating AI into actual productivity and growth plans.

Recently, I sat down with Entrepreneur Media to talk about how entrepreneurs today can multiply output without expanding payroll, which tools to start with right now, and why technical expertise isn't the barrier most people think it is.

AI is raising the floor on what solo founders can build.

I just hope more people realize it.

Read the full piece here: https://lnkd.in/ebi3SV4T

What is the secret allocation of AI budgets? I found the data for you.

Check it out and save this post.

💰 What is the average AI budget allocation?

New tech and tools = 20-22%
Existing tech and tools = 17-19%
R&D = 16-17%
Training = 16-17%
Hiring = 14-15%
Consultants = 12-15%

💰 How much money are companies investing?

For companies making over $2B/year…
$20M or more = 23%
$10M to $20M = 20%
$5M to $10M = 19%
$1M to $5M = 21%
Less than $1M = 6%

For companies making $250M to $2B/year…
$20M or more = 11%
$10M to $20M = 26%
$5M to $10M = 28%
$1M to $5M = 24%
Less than $1M = 6%

For companies making $50M to $250M/year…
$20M or more = 9%
$10M to $20M = 31%
$5M to $10M = 29%
$1M to $5M = 18%
Less than $1M = 11%

On my team (and no, we don’t make over $2 billion per year, but we help a lot of companies that do), we’re spending thousands of dollars per person per year on AI.

The top average investments are from banking/finance, tech/telco, and professional services. Surprised to see a pretty steady AI budget allocation across different enterprise sizes. Numbers add up to less than 100% because they removed “don’t know” and “not applicable”. All data comes from The Wharton School 2025 AI Adoption Report.

88% of business leaders surveyed anticipate increasing their AI budget in the next 12 months.

Nearly 75% of business leaders surveyed already see positive ROI from their generative AI efforts.

82% of them use generative AI weekly. And 46% of them use it daily.

And yet...

43% of decision-makers see a potential skills decline because of AI. 43% say they struggle with recruiting talent with basic gen AI literacy. And mid-managers are less excited, less impressed, and less ROI-convinced on generative AI than VPs and C-Suite.

Tell me again how the shift to AI-First is not also a culture problem??

Okay, I’m clearly addicted to my phone.

But one thing is helping.

Usually I’m constantly checking and replying to texts and emails and socials, scrolling AI articles, reading papers.

But when I’m rushing to get ready, it makes me late for things. I hate that.
WEIRDLY, the best hack is ChatGPT Advanced Voice Mode 😆

I supremely detest how dumb the model is in AVM (wish I could toggle a smarter model on even with worse latency), but having 15 min conversations away from my screen while the action is taking up the full screen is actually making a dent in reducing my screen time.

And congrats to the people who charge it outside their bedroom or don’t use it on Saturdays or turn their phone to gray-scale, that just doesn’t work for me.

Used to be I could watch Netflix in full screen + DND, but then picture-in-picture happened. Love the feature, but now I’m watching my shows while working, all on my tiny phone screen. Not ideal.

Despite 1 in 5 high schoolers having an AI companion or knowing someone with one, I’m not bought into the Her future. Maybe it’s bc I’m an extrovert who wants to talk to multiple personalities :)

My usage is less about memory and persistent personality, more about one off conversations and reducing screen time.

🧠 Expand what AI can do for you: https://lnkd.in/e8F2j-Qb
💡 Follow me Allie K. Miller for more on AI and business.

What does an AI actually need to be a useful remote worker?

And for folks who like to follow along with my AI predictions - what already exists today and what is coming?

1) CONTEXT (docs, email, PPT, meetings, Slack, SFDC, ERP, org chart)
Really strong today. Could be easier to mass connect into apps, could be easier to manage permissions and roles at scale. Likely won't be in DMs (for privacy).

2) POLICIES (brand guidelines, compliance guidelines)
Constantly updating and highly localized. Corporate affairs doesn't want this living in too many places, they want to control it. Marketing and legal and HR will need to own the documentation and updates.

3) CORPORATE VALUES (leadership principles, AI principles, 360 feedback categories)
You can upload principles today, but we don't have customizable constitutional AI, and there are unspoken corporate values that are hard to formalize but honestly likely easy to gather if you are able to see what decisions were made.

4) GOALS (directions, assignments, role, task)
Way too much is just-in-time initialized. I want goals SOPs and job descriptions that agents or multi-agent systems can work off of. A cool opportunity for RL and goals declarations to merge.

5) TOOLS (browsing, internal wikis, website edits, salesforce data entry, business purchases)
Starting to get there, but not broad enough or deep enough. This is a space I'm looking at closely in the next 12 months, MCP is a good boost, and Claude Skills is a humongous recent release.

6) DECISIONS (agreements in meetings, RFPs won, which tool to buy, etc)
At Amazon, these were tracked in a million ways - email, chime/slack, in meetings, in 1:1s, in heads, in code... I feel like this is still a gap and AI will have to make sure they're clear on what path the human actually takes.

7) SUCCESS METRICS
This is going to be hell. I chatted with someone yesterday whose org has been fighting for months over what counts as an 'impression'. Do I think AI can magically come in and fix this? Absolutely not.

8) LIABILITY
Also hell. This comes down partially to performance and trust, partially to legality (like an AI diagnosing a patient or filing taxes). I think humans will continue to hold the big liability for awhile.