AI has completely transformed our team at Paintit.ai both from a product perspective and behind the scenes. The upside of this is we have converted a process that took weeks for interior design into a 30 second experience. Users submit a photo of the room they want to redesign, and instantly they receive a unique visual redesign they might want to use based on their style and layout. In a way we are giving users access to a designer, on demand and on a budget. This simply never would have happened before. Now the downside: AI is only as good as the data it provides and the context it is shown in. We have battled the idea that "AI = always perfect." It always needs human curation as it relates to nuance with architectural bounds or cultural aesthetics. We have spent an extraordinary amount of time training our system, avoiding generic results and to make it feel like service deliverables, not generated, automatic functions. The ugly? The noise. Since we launched, more than a dozen AI tools came out that had grand plans to "design" and showed little delivery. Users will now be more skeptical - and that means we have to work that much harder to earn their trust. But honestly? We don't mind. In the end, consistent quality wins.
AI has entirely changed the way I develop and grow education technology. When I was originally designing coding curriculum, it would take weeks to manually analyze and create custom learning paths. Today AI can analyze thousands of student interactions in real-time and figure out what is the specific problem area with binary trees or dynamic programming. The productivity increases are mind blowing. I have a 70% increase in the speed of prototyping new algorithm explanations and feedback through our AI tutoring system is as good as what I would have provided face-to-face. The students would always say that they experience that they are pair programming with a senior engineer. Yet there is a black side that I did not expect. Nowadays, AI solutions are copy-pasted by many not very talented developers who do not realize the reasoning behind it. I have even interviewed candidates who can talk about complicated algorithms with confidence, and break down when I make them run through their own code by hand. They have gotten addicted to AI crutches. The market saturation is ruthless as well. Three new so-called AI-powered coding platforms are released every week. To stand out, it is necessary to be an innovator, rather than placing ChatGPT on top of the old one. What do I lose sleep over? Graduates who believe they know algorithms on the basis that an AI has taken them through solutions, yet they cannot solve FizzBuzz in a whiteboard interview. The technology is mind-blowing but it is making a generation of developers believe they are ready to work at Google when they are not ready to work at a junior level.
AI changed my life, not just my business. Here's how: The good: AI helped me create an entirely new company, AI Operator, and finally discover what I love. As someone with ADHD, I used to dread certain tasks. Now there's nothing I hate doing, because I can use AI, get it done faster, and even learn something in the process. The bad: Honestly, I don't think there is one, unless you're ignoring it. If AI hasn't impacted your business or career yet, and you're not actively making it happen, that's bad. The ugly: If you keep that fixed mindset and don't start adapting, you're on track to join the millions predicted to lose their jobs in the coming years. White collar or blue collar doesn't matter, it's about mindset. If you've got a growth mindset and you're learning how to make AI work for you now, you'll be fine. If not, well... good luck.
AI hasn't replaced me. It's made me think more strategically, work smarter, and trust my instincts more than ever. Some days are filled with too many to-dos, urgent requests, and not enough hours — clients, campaigns, partnerships, strategy, and the endless details in between. That's where I welcome AI to step in. Not to take over, but to remove friction, cut delays, and eliminate the busywork that used to slow me down. Over the past year, AI has helped me: Speed up analysis that used to take hours (sometimes days) by pulling research, breaking down competitor programs, and surfacing insights to pull together high-level summaries. Turn my messy ideas into structured content — from thought leadership blogs to affiliate program evaluations — without staring at a blank page. Expand my reach by uncovering niche audiences, better prospect lists, and strategic partners without the time sink of manual digging. It's also a sounding board for 'what ifs.' I can test assumptions, debate ideas, and refine them in real time. That's the good. The bad? AI can sound confident, and sometimes it's confidently wrong. Auditing and fact-checking are non-negotiable. It can also become tempting to let my creative muscles rest when they need to stay exercised. Don't prompt on autopilot. Staying deliberate is the only way to keep them strong. The ugly? AI won't fix disengaged teams. It won't spark participation in people who aren't willing. And if you take its first draft and hit publish without making it yours? It shows. Every. Single. Time. That's what I call being "AI lazy." Here's the Truth: AI is like a coach on the sidelines during a game. It can watch the whole field, point out weaknesses in performance from both teams, suggest plays, and highlight missed opportunities. But when the ball's in your hands, the split-second decisions, the risks, and the instinctive moves, that's still all you. AI gives guidance and insight, but the judgment, creativity, and tenacity to win? That's human." AI has prompts, people have instincts. Those instincts, knowing when and why to use AI, refining its output, and giving it context and voice, are still all me. AI amplifies my impact, but I remain central to the process. Enough about me. Explore AI. Don't fear it, embrace it. But never hand over the part of your work that's uniquely you — your voice, your judgment, your instincts, your humanity. The magic isn't in AI, it's in how you use it, and how you play the game.
Founder | Executive Resume Writer | Coach at Kelley Resumes and Wordsmithing
Answered 6 months ago
I'm a professionally certified career strategist who provides coaching and writes resumes. I've seen, first-hand, how AI and misunderstandings about what it can do/how it works keep people unemployed for so long that they actually fall off unemployment rolls. People think that AI resume builders and generic requests to ChatGPT will make them stand out. Unfortunately, the resume builders are usually designed by web and app developers, not people who know how to write resumes, and ChatGPT requires engineered prompts to truly target a resume. Therefore, AI has been incredibly helpful for my business on two fronts. First, many of my clients come to me after being disappointed by AI resume builders and/or ChatGPT. Secondly, I've "cracked the code" to engineering prompts for resumes AND to determining the right keywords for your resume to beat ATS. I'm about to launch a full self-paced program that uses prompts to help people write their own resumes. I know it works because 100% of my test group has gotten jobs or is actively interviewing. Every person in this group had applied to HUNDREDS of jobs with zero interviews and had tried other AI tools. With resume keywords, I've built prompts that accurately analyze postings and determine the keywords that should be in a master-level resume. A second set of prompts precisely tailors the resume to individual postings. Like the pilot group for my self-paced program, clients will come to me who can't get interviews, no matter how many jobs they apply to. In some cases, they've been collecting rejection emails for a year or more. When i give them their new resume, for which I've used these keywording tools, and teach them how to tailor it... they quickly start getting interviews and, ultimately, job offers. Don't hesitate to contact me for more information.
AI has certainly enhanced the way that I handle product strategy and operational effectiveness at Easy Ice. The benefits are obvious: more insight, quicker decisions, and automation, which cuts labor. From forecasting service intervals to optimizing the way we measure product performance in thousands of locations, AI provides us with visibility that we didn't have earlier. It helps us provide a better experience for our customers, with fewer surprises and greater consistency. The worst is that it's simple to get caught up in trusting the technology too much. We've had instances where AI-driven insights got it wrong simply because they weren't able to factor in human subtlety, such as a location's seasonality of demand or urgency of the customer. The ugly manifestation appears when those errors spill into the delivery of services or misdirect field resources. That's when you recall AI as a tool, not a substitute for judgment.
I would say that for me, AI has been a double-edged sword. On one side, it's massively sped up research, brainstorming, content drafts, and even answering email. Things that in the past would take me multiple hours now take only a few minutes. But... it's also super easy to get lazy and rely too heavily on it, which can make your work sound 'meh' if you're not careful enough. In the end, you can't JUST use AI and expect magic, you still need to know your craft.
The use of AI tools has enhanced our PR workflow but the real benefit is when we customize the AI tools to use our own historical campaign data rather than using generic models. Inputting the previous interactions with media, pitch results and journalist preferences using AI produces outputs that are much more appropriate in tone, timeline and audience consideration. It will help us to recreate the strategies that worked well and prevent repeating the mistakes, which will lead to a significant rise in the acceptance rates of the pitches in the competitive industry such as blockchain. It is a time-consuming process, but the accuracy that it provides is beyond comparison. A silent pitfall is that AI may reuse phrase structure found in publicly-available datasets, resulting in pitches that sound like other ones in the market. To address this, all AI-made drafts are put through a bespoke comparison system which indicates overused phrases and structure repetition. This added signature makes our messaging stand out in an email that can be filled up so easily, safeguarding brand voice and making our chances of meaningful interaction with a journalist high.
AI has improved our process speed. We now manage content operations with greater efficiency and use predictive data to support our planning. This contributed to our business growth. However, as content volume increased not all of it delivered real value. We had to raise our content standards and remind contributors that their voice, perspective and expertise are still essential. AI supports grammar, structure and research but does not think like a human. It cannot fully understand what a reader truly needs. For that reason we view AI as an assistant rather than a replacement. Meaningful learning and engagement happen when people lead the process and AI plays a supporting role. Human insight still drives results.
AI has been helping me so far in my career as a doctor, and it's like what a calculator is to an engineer. I had a patient with suspected pancreatitis and was 60% sure in addition to the clinical symptoms. After ordering a CT scan, I used an AI radiology tool to confirm my working diagnosis. This particular AI tool also flagged a subtle early pseudocyst I hadn't been entirely sure about. It made things a whole lot easier, and also for treatment, AI is great with drugs that are not commonly used, and saves you a lot of time opening journals and all. I'd like to clarify that AI doesn't replace my judgment, more like it's a trusted colleague who helps me make good decisions in a short time.
AI tools have improved our operations. They help organize large data sets, merge inventory details, and forecast resale timelines. Teams used to take hours to complete these tasks, but now they happen much faster. This has allowed our team to focus more on decision-making and less on manual work. In that way, AI has added real value to daily processes. However, we have also seen where AI can cause problems. In one case, it misread labeling terms and misclassified medical devices, causing delays during customs checks. This reminded us that AI must be trained carefully for complex industries like healthcare. These tools often miss important details. AI works best when guided by experts who understand the full picture.
AI tools are ultimately the reason for the existence of my company. I created AI detection software a few years ago, when it first became clear that generative AI was going to start becoming a huge thing. With the emergence of ChatGPT into the public sphere, I knew right away that people were going to need to be able to detect AI usage, so I created a solution to a new problem that was emerging.
Honestly, AI tools have largely made things more complicated. There are certain tools that have helped, but overall I think the pressure of AI adoption has presented some challenges. We know that we have to adopt AI to stay competitive and accept the changes in the business world, but we also know that there are a lot of imperfections and risks with AI - legal concerns, ethical concerns, workflow hiccups, general adoption issues. We are constantly trying to find that fine line, and that's often quite challenging.
It has helped to make internal processes more efficient in that we're able to assess AI opportunities based on smaller recurring tasks, and use internal data to get the most out of very specific tools or products. We find this is a much better approach than simply trying to shoehorn a certain AI software or offering into tasks that don't actually require AI or benefit from its usage.
It has meant that we're able to better optimise internal processes in a way that we hadn't been able to previously, without also having to shift overall task reliance to AI. The growth of AI systems means that we can pick and choose the best ones based on context and individual requirements.
The good part of AI is obvious. It helps our small team with drafts for ad copy or content outlines. But the ugly side is far more significant for an industry like skincare. AI has become the ultimate tool for faking credibility. It can generate a flawless-looking website, write convincing articles about ingredient science, and mimic the voice of a trustworthy founder overnight. It excels at replicating the surface-level signals of trust without any of the underlying work. This is the new challenge. We can no longer just rely on communicating our scientific process, because a competitor can use AI to create the illusion of doing the same thing for a fraction of the cost. It forces us to double down on what AI can't touch: our real, personal stories, our family's direct involvement, and the transparent, often difficult journey of creating a product that we use on our own children.
AI tools now play a key role in how we manage the HVAC supply chain. They track thousands of SKUs across different brands and help us respond to demand changes quickly. This allows us to restock faster, reduce delays, and satisfy customers. By automating these tasks, we operate more efficiently without lowering our standards. AI has helped us maintain smooth operations and keep costs under control. However, AI does have its limits. It does not always understand why a system fails in real-world conditions. For example, if airflow is poor in certain areas, AI cannot always explain the cause. That is where skilled professionals remain essential. We rely on AI for speed and accuracy, but human expertise still drives the quality of our service.
As the Director of Marketing at an affiliate network, AI tools have greatly influenced our business and my career, offering both benefits and challenges. Positively, they enhance data-driven decision-making by analyzing large datasets swiftly, helping to identify trends and tailor strategies. AI-driven analytics tools like Google Analytics and Mixpanel allow us to assess affiliate performance and product popularity in real time.