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5 AI Tools That Save Me 15 Hours a Week As a Founder From Big Tech

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For over a decade, I worked in Big Tech. To be honest, I loved it.

I built programs and launched cross-functional initiatives at places like Meta, LinkedIn, Pinterest, and Figma. I had incredible teammates, an amazing boss, and a total comp of $300,000 a year. I was learning from the best and growing fast.

Then something inside me shifted, and I left.

About a year and a half after quitting my job and starting my own business, I’m now a founder constantly improving my systems with the help of AI tools, allowing me to scale without burning out.

Even as I thrived in my day job, I experimented on the side

While still at Figma, I started posting content on LinkedIn, coaching job seekers who wanted to land fulfilling program manager roles, and building a community around career growth. That side hustle started to take off.

I realized I didn’t just want to help tech companies grow. I wanted to help people grow inside them.

In early 2024, I left my full-time role at Figma to build my own business. I didn’t make the choice out of burnout or bitterness, but because I saw a different path — one where I could design my own schedule, create work that felt meaningful, and scale impact in a way that aligned with my values.

Today, I run a multiple six-figure business helping professionals land tech roles through a live cohort program, content creation, and brand partnerships. I’ve grown my audience to more than 300,000 across platforms without a full-time team.

AI tools have become my go-to team behind the scenes. Here’s how I’ve used them to get hours back, grow faster, and stay focused on what actually matters.

1. Fathom: My meeting assistant

Time saved: ~3 hours/week

As a coach and founder, I’m on Zoom constantly — whether it’s sales calls, group coaching sessions, or networking 1:1s. I used to rewatch recordings or spend hours summarizing notes and writing follow-ups.

Now, I use Fathom. It records my meetings, pulls out key moments, and auto-generates action items. I don’t even have to leave Zoom — it connects with HubSpot and syncs the recording and summary to each contact.

I save three to four hours a week, and clients and partners compliment how accurate it is.

2. Notion: My operating system

Time saved: ~3 hours/week

Before I went all in on entrepreneurship, my organization was all over the place. I used Google Docs for ideas, spreadsheets for planning, and Asana for task tracking.

Now, everything runs through Notion. It’s where I organize student feedback, build a real-time revenue dashboard, map out launches, and manage my calendar. I’ve even templatized my entire business inside it.

I love the AI feature. It helps me summarize messy notes, write agendas, and surface the exact piece of information I need without digging through 10 tabs.

3. Fyxer: The reason I am inbox zero

Time saved: ~5 hours/week

Email used to drain me. I’d spend an hour writing five thoughtful follow-ups, only to fall behind again the next day.

Now, Fyxer drafts 80% of my replies. It learns from how I write and handles things like student onboarding emails, brand partnership outreach, and thank-you notes. I just personalize and hit send. It’s an invisible tool that makes a big difference.

4. ChatGPT (Custom GPT): Tailored résumé feedback at scale

Time saved: ~1 hour per student (5-10 students/week)

One of the most rewarding parts of my business is helping students rewrite their résumés. However, it’s also one of the most time-consuming.

I built a custom GPT that takes a student’s current résumé and the job description they’re targeting and rewrites it using Google’s famous formula: “accomplished X by doing Y, resulting in Z.” It highlights their impact, aligns with the role, and uses the results-driven language hiring managers look for, especially in strategic program management roles.

It doesn’t replace coaching, but it speeds up the process dramatically. Students still get a personalized experience, but I don’t need to edit every single line myself.

5. Content creation prompts: My creative brain

Time saved: ~4 hours/week

People often ask how I consistently post across platforms. The truth is that I don’t start from scratch.

I use different ChatGPT prompts depending on the format.

  • For LinkedIn, I might say: “Turn this student win into a three-part story with a clear takeaway.”
  • For newsletters, I’ll ask: “Expand this idea into a personal essay that sounds like me.”
  • For video scripts, I go with: “Make this story punchy, with a hook and a clear CTA.”

Tone and pacing shift depending on the platform, and AI helps me map that out quickly. It’s like having a creative assistant who understands my voice while recognizing copywriting best practices. I taught it my voice by providing custom instructions, feeding past posts, and refining outputs until it sounded like me.

Instead of getting stuck on what to say, I get to focus on how I want people to feel.

One day I looked up and saw that AI had quietly given me back 10 to 15 hours a week

That’s a full day and a half I could now spend on strategy, deep work, coaching, or rest. I wasn’t always working, which is a new normal for me. I was building something that felt both sustainable and scalable.

If you’re in Big Tech doing meaningful work but starting to wonder if something else might feel more aligned, know that you don’t have to burn out to build something great. All the experience you’ve gained so far won’t go to waste. It will become the foundation for something that’s aligned, intentional, and yours.

You don’t need a big team to scale. You need the right tools, a clear direction, and the willingness to show up, fail forward, and get 1% better each time.

AI hasn’t made me less human. It’s made me more focused, present, and available for work I love.

Do you have a story to share about using AI tools professionally? Contact this editor at lhaas@businessinsider.com.





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Company Turns To AI For Cost Cutting, Ends Up Paying US Woman Rs 1.7 Lakh To Fix Errors

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“Maybe I’m being naive, but I think if you are very good, you won’t have trouble,” she expressed her views about concerns around AI. According to Skidd, AI can be an excellent tool when used correctly. Like her, there are many writers who are earning by fixing AI-generated content.

A digital marketing agency co-owner, Sophie Warner, shared a similar experience, noting how her clients were using ChatGPT for their issues first.

“Earlier, clients would message us if they were having issues with their site or wanted to introduce new functionality,” Warner said. “Now they are going to ChatGPT first.”

She said clients using ChatGPT for website code had reported issues. These include sites crashing down or leaving them vulnerable to hackers. She revealed that such a move cost one of her clients £360 (Rs 42,000) and three days of service disruption, the BBC report added.  

Similar instances have occurred in the past where businesses trying to cut costs with AI have ended up paying more. In June, a Swedish fintech company, Klarna, made headlines for a similar incident. The company announced that it was organising a large-scale recruitment drive to hire staff again, two years after firing more than 700 employees to replace them with AI. 



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AI video becomes more convincing, rattling creative industry

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[NEW YORK] Gone are the days of six-fingered hands or distorted faces – artificial intelligence (AI)-generated video is becoming increasingly convincing, attracting Hollywood, artists, and advertisers, while shaking the foundations of the creative industry.

To measure the progress of AI video, you need only look at Will Smith eating spaghetti.

Since 2023, this unlikely sequence – entirely fabricated – has become a technological benchmark for the industry.

Two years ago, the actor appeared blurry, his eyes too far apart, his forehead exaggeratedly protruding, his movements jerky, and the spaghetti did not even reach his mouth.

The version published a few weeks ago by a user of Google’s Veo 3 platform showed no apparent flaws whatsoever.

“Every week, sometimes every day, a different one comes out that’s even more stunning than the next,” said Elizabeth Strickler, a professor at Georgia State University.

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Between Luma Labs’ Dream Machine, launched in June 2024, OpenAI’s Sora in December, Runway AI’s Gen-4 in March 2025, and Veo 3 in May, the sector has crossed several milestones in just a few months.

Runway has signed deals with Lionsgate studio and AMC Networks television group.

Lionsgate vice-president Michael Burns told New York Magazine about the possibility of using AI to generate animated, family-friendly versions from films such as the John Wick or Hunger Games franchises, rather than creating entirely new projects.

“Some use it for storyboarding or previsualization” – steps that come before filming – “others for visual effects or inserts”, said Jamie Umpherson, Runway’s creative director.

Burns gave the example of a script for which Lionsgate has to decide whether to shoot a scene or not.

To help make that decision, they can now create a 10-second clip “with 10,000 soldiers in a snowstorm”.

That kind of pre-visualisation would have cost millions before.

In October, the first AI feature film was released, Where the Robots Grow, an animated film without anything resembling live action footage.

For Alejandro Matamala Ortiz, Runway’s co-founder, an AI-generated feature film is not the end goal, but a way of demonstrating to a production team that “this is possible”.

Resistance everywhere

Still, some see an opportunity.

In March, startup Staircase Studio made waves by announcing plans to produce seven to eight films per year using AI for less than US$500,000 each, while ensuring it would rely on unionised professionals wherever possible.

“The market is there,” said Andrew White, co-founder of small production house Indie Studios.

People “don’t want to talk about how it’s made”, White pointed out. “That’s inside baseball. People want to enjoy the movie because of the movie.”

But White himself refuses to adopt the technology, considering that using AI would compromise his creative process.

Jamie Umpherson argues that AI allows creators to stick closer to their artistic vision than ever before, since it enables unlimited revisions, unlike the traditional system constrained by costs.

“I see resistance everywhere” to this movement, observed Georgia State’s Strickler.

This is particularly true among her students, who are concerned about AI’s massive energy and water consumption as well as the use of original works to train models, not to mention the social impact.

But refusing to accept the shift is “kind of like having a business without having the internet”, she said. “You can try for a little while.”

In 2023, the American actors’ union SAG-AFTRA secured concessions on the use of their image through AI.

Strickler sees AI diminishing Hollywood’s role as the arbiter of creation and taste, instead allowing more artists and creators to reach a significant audience.

Runway’s founders, who are as much trained artists as they are computer scientists, have gained an edge over their AI video rivals in film, television, and advertising.

But they are already looking further ahead, considering expansion into augmented reality and virtual reality, for example, creating a metaverse where films could be shot.

“The most exciting applications aren’t necessarily the ones that we have in mind,” said Umpherson. “The ultimate goal is to see what artists do with technology.” AFP



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Samsung warns of big profit miss from US restrictions on advanced AI chip exports

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Semiconductor and smartphone giant Samsung Electronic Co. Ltd. said on Tuesday morning in South Korea that it’s anticipating its second-quarter profit to plunge 56% from a year earlier, blaming it on sluggish sales in its chip business and the impacts of U.S. trade restrictions.

The forecast comes in much lower than what analysts had expected. Samsung said in a preliminary earnings statement that it’s expecting a second-quarter operating profit of 4.59 trillion won ($3.4 billion), down sharply from the 10.44 trillion won profit it posted in the year-ago period. Analysts had been targeting a profit of 6.2 trillion won, Reuters reported.

On a sequential basis, Samsung’s profit is expected to drop by around 31%, from 6.69 trillion won. Revenue for the period is expected to come to 74 trillion won, more or less flat from a year earlier.

In a separate press release issued to South Korean media, Samsung blamed the unexpected decline in profit on inventory replacements and the negative impact of the United States’ expanded sanctions on the export of advanced artificial intelligence processors to China.

“The memory business saw a decline in performance due to one-off costs, such as provisions for inventory asset valuation,” the company said. “However, improved HBM products are currently being evaluated and shipped to customers.”

Samsung was referring to its High-Bandwidth Memory chips, which are a critical component of AI processors. The company has struggled to match the progress of its rival memory chipmaker SK Hynix Inc., which currently provides the vast majority of HBM chips to Nvidia Corp. for use in that company’s graphics processing units.

However, Samsung said it expects to see a sharp increase in HBM chip sales to Nvidia in the upcoming quarter, despite recent reports that its products have not yet passed the AI chip leader’s quality tests. It also said its non-memory chipmaking foundry is expected to reduce its losses in the third quarter due to improved utilization rates and a recovery in global chip demand.

Analysts said Samsung’s profits were also hit by a decline in NAND flash prices and a stronger Korean won, and its stock was down 1% in early morning trading in Korea.

Holger Mueller of Constellation Research Inc. told SiliconANGLE it’s notable that Samsung is still growing its chip business, despite not being able to grow its profit. “The most critical challenge is for Samsung to be able to deliver its HBM chips, and if it can do this it will likely show stellar results like its competitors, given the insane hunger for AI chips,” the analyst said.

According to Mueller, investors will be happy to hear that Samsung believes it will soon be able to deliver a significant number of HBM chips to Nvidia, which is the most important customer. If it does do this, it could well see growth of the kind that it hasn’t enjoyed in years.

“But another challenge for Samsung is its smartphone business, which is also struggling right now,” Mueller added. “The flywheel will only come back and deliver as it used to once both of these businesses have strong offerings. Samsung will also need to demonstrate strong execution in production and on the go-to-market side.”

Samsung has not yet disclosed detailed earnings regarding the performance of its individual business units, but analysts estimate that its semiconductor business will deliver an operating profit of around 1 trillion won, based on the company’s preliminary forecast.

The company is also unlikely to see much benefit from the launch of its new flagship smartphone, the AI-powered Galaxy S25, in January. Meanwhile, its television and home appliance businesses are also expected to see a drop in profitability, due partly to the impact of U.S. tariffs on imports.

Although the report was disappointing for investors, Hyundai Motor Securities Co. analyst Roh Geun-chang said the company’s profit is likely to rebound in the third quarter, driven by an expected increase in memory chip prices. “Samsung’s operating profit appears to have bottomed out in the second quarter and is expected to show gradual improvement,” the analyst told Yonhap.

Image: SiliconANGLE/Dreamina

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