Navigating AI Disruption: Tech Experts and Business Leaders Share Stories
For most of modern history, the definition of a “job” has been stable.
But what happens when your most time-consuming task can be done by an algorithm in seconds?
Artificial Intelligence is forcing this question upon us all, changing not just how we work, but our very professional identity.
It’s a story of adaptation, anxiety, and incredible opportunity.
To capture the human side of this technological shift, we reached out to leaders who are in the midst of it.
We didn’t just want theory; we wanted their stories.
Our question:
“In what tangible ways has Artificial Intelligence disrupted traditional processes, job roles, or the skill sets required within your department or organization? Could you provide a specific example of such a change and how it was navigated?”
Their candid insights reveal what it truly takes to lead a team through profound and personal change.
This is what they shared about navigating the AI revolution.
Read on!
Liscah R. Isaboke
AI has significantly disrupted traditional legal research processes.
Previously, associates spent countless hours manually sifting through case law and statutes. Now, AI-powered legal research tools can analyze vast databases in minutes, identifying relevant precedents and legal arguments with greater efficiency.
For instance, our firm has integrated AI-driven platforms that use machine learning to predict litigation outcomes, allowing us to provide more accurate and strategic advice to our clients.
This has shifted the skill set required from junior associates, emphasizing analytical and strategic thinking over brute-force research.
Navigating this change involved comprehensive training on these new tools and a restructuring of tasks to leverage the AI’s capabilities while focusing human expertise on nuanced legal interpretation and client communication.
Liscah R. Isaboke
Managing Partner, Isaboke Law
Neil Magnuson
At my stage, you used to have to hire a salesperson or an “SDR” to drum up new business, help scale and get more clients in the door.
I built an AI workflow in a weekend to completely automate the tasks this person would do.
It runs 24/7 and finds my target customer profile’s contact information on LinkedIn and their email. It sends them personalized cold emails about my service. It gives me their LinkedIn so I can connect with them.
Everyday I wake up with a new lead in my inbox who is interested in my product. It runs for less than $150 per month using ChatGPT, Google SERPER, and Apify.
Neil Magnuson
Founder, Influencer
Kolapo Akande
At Pledge Software, we’ve seen how AI is transforming job functions and internal workflows, especially in customer support.
Previously, answering user questions about nonprofit data—such as IRS standing, OFAC flags, or state compliance—required significant real-time involvement from our support team. With AI-powered chat enhancements integrated into our Nonprofit Check Plus API platform, we now use intelligent agents to address many of these inquiries automatically.
This shift has reduced the volume of routine support requests and allowed our team to focus on higher-value tasks like customer success and technical onboarding.
The result: quicker resolutions, improved user experience, and scalable trust in our API data services.
Kolapo Akande
Founder & CEO, Pledge Software
Mathew Kerbis
In the legal industry, AI is disrupting everything, and that’s a good thing. Legal services have long been unaffordable under the billable hour regime, yet when lawyers adopt AI in their workflow, things that used to take hours and days now take minutes.
There are legal-specific AI tools that are HIPAA and SOC2 compliant, which means that they can safely be used for substantive legal work. Legal AI, and some non-legal specific AI tools like NotebookLM, can engage in useful deep legal analysis and drafting. Such tools also provide useful citations that allow quick checking of sources and output to verify accuracy.
On the non-legal side of running the business of the law firm, tools like Canva, Descript, and Gamma allow quick and high quality images and videos powered by AI to help market and promote the business.
Eugene Leow Zhao Wei
AI has shifted the ground beneath our feet, especially in content creation and SEO. A prime example is how we used to handle keyword research—it was a manual, time-intensive task.
Now, AI-driven tools like SurferSEO or Clearscope help us identify content gaps and build data-backed strategies much faster. This means our team had to level up their skills, moving beyond basic keyword lists to understanding user intent, content quality metrics, and AI prompt engineering.
The disruption is clear: our writers, once focused on churning out keyword-optimized articles, now need to think like strategists, blending creativity with data insights.
This shift was challenging at first, but we addressed it by investing in AI literacy training and encouraging cross-team learning.
It’s not about AI replacing us—it’s about learning to work with it and staying ahead.
Eugene Leow
Director, Marketing Agency Singapore
Dhaval Gajjar
AI has fundamentally changed the way we do things, especially when it comes to software development and service delivery to clients.
At Pranshtech, many of the tasks that we previously performed with manual writing or requiring human QA checks are now being expedited with AI-assisted products, with notable increases in speed and accuracy.
For example, by using AI-based code generation, we have decreased the initial prototyping timeline by over 40% since they can spend less time on repeating boilerplate code and more time focusing on architecture and problem solving!
Moving forward, AI-based technologies have even changed how we hire, we are looking for candidates that can think adaptively and with efficiency in mind, and be able to use AI tools to assist their work, more than an expert in the language of coding they specialize in.
The learning process included up-skilling our existing team and encouraging a culture of experimentation. AI has not replaced talent – it has enhanced talent.
Ronak Kadhi
Many companies rely heavily on freelance designers to create product visuals, especially for early-stage brands. But once AI became part of the workflow, that started to look different. Founders could now generate 10 different visual directions in one afternoon without hiring anyone.
It didn’t replace designers completely, but it changed their role. Instead of execution, they moved into creative direction and quality control.
This also changed who we hire at Bundled AI.
We now look for people with visual taste and fast feedback instincts more than traditional design credentials.
The value isn’t just knowing how to use AI tools, it’s knowing what looks right. That part still needs a human.
Ronak Kadhi
Founder, Bundled AI
Robbin Schuchmann
Artificial Intelligence has reshaped how we handle global hiring by automating many routine tasks that used to consume significant time and resources.
In my experience, AI streamlines candidate screening and initial assessments, allowing HR teams to focus on deeper engagement and strategic decision-making.
For example, using AI-driven tools to analyze candidate data and predict cultural fit has accelerated our hiring cycles and improved the quality of hires across different countries.
A concrete instance comes from integrating AI-powered recruitment platforms that assess candidates through gamified tests and video interviews analyzed by machine learning. This approach helped us reduce hours spent on manual screening and minimize unconscious bias, which is crucial when hiring internationally.
Navigating this change required upskilling HR professionals to interpret AI insights effectively and ensuring compliance with diverse labor laws by combining AI efficiency with human oversight. This balance keeps the process both efficient and compliant in a complex global environment.
Robbin Schuchmann
Co-founder, EOR Overview
Nicole Martins Ferreira
AI has disrupted a lot of the work we do at our startup. We use it to help us analyze data more efficiently, to create content, to improve our product, and to assist with engineering work.
According to the Job Search Trends report, AI skills appear in 6,300 job postings, showing that it’s kind of essential to learn how to use AI if you work in tech.
The biggest change we’ve made was to our data analysis process, where we actively use AI to help us sift through mass volumes of data without needing a data scientist to look at it and report inconsistencies.
Nicole Martins Ferreira
Product Marketing Manager, Huntr.
Tejashri Anto
For years, generating a comprehensive quote was our biggest bottleneck. The process was painfully manual—poring over architectural plans, performing manual takeoffs, and cross-referencing vast catalogues for fixture specs and pricing. It could take days, and even then, human error was always a risk.
We use AI Agents to help us quickly find the best vendors for specific light fittings by looking at product details, prices, and past performance. The AI goes through large amounts of collected data to suggest suppliers that match our needs for quality, cost, and delivery. It also helps us fill out tender documents faster by using information from previous projects. On top of that, the AI shows us how our earlier tenders performed, so we can learn what worked well and improve our approach for future bids.
Moreover, this is assisted by real-time analytics and machine learning models that continuously refine their recommendations based on new data, ensuring that our procurement process becomes smarter and more efficient over time.
Tejashri Anto
Principal Designer, Anthem Lumiere
On behalf of the Techronicler community of readers, we thank these leaders and experts for taking the time to share valuable insights that stem from years of experience and in-depth expertise in their respective niches.
If you wish to showcase your experience and expertise, participate in industry-leading discussions, and add visibility and impact to your personal brand and business, get in touch with the Techronicler team to feature in our fast-growing publication.
You may also like
