How The Ai First Draft Mindset Is Reshaping Work Linkedin

Bonisiwe Shabane

-Nov 18, 2025, 7:34 AM

how the ai first draft mindset is reshaping work linkedin

At Workhuman, we’ve embraced an AI first draft mindset, where the first version of any output is AI-generated, then refined by human expertise. As more companies adopt this approach, we’ll see #AI move from supervised assistance to seamless integration. The #FutureOfWork is here! How can companies unlock AI’s full potential? Enter, the AI First Draft mindset. Instead of replacing human creativity, #AI serves as a launchpad, so employees can refine, improve, and innovate faster than ever.

As AI adoption grows, so does #productivity. Workhuman CEO Eric Mosley further explains how this shift is already transforming the workplace. 📍: World Economic Forum 🎥: Reuters #WEF25 #FutureOfWork #HRtech ▪️𝐌𝐲𝐭𝐡: AI will take over all jobs ▪️𝐑𝐞𝐚𝐥𝐢𝐭𝐲: AI is transforming roles, not replacing them In fact, 65% of today’s tasks can be automated, but this gives professionals more space to focus on strategic,... The key is balance: businesses that adopt AI wisely gain efficiency and empower their teams with new creative opportunities. 𝐀𝐈 𝐢𝐬 𝐧𝐨𝐭 𝐚 𝐭𝐡𝐫𝐞𝐚𝐭, 𝐢𝐭’𝐬 𝐚 𝐜𝐚𝐭𝐚𝐥𝐲𝐬𝐭 𝐟𝐨𝐫 𝐠𝐫𝐨𝐰𝐭𝐡.

#AI #ArtificialIntelligence #FutureOfWork #DigitalTransformation #BusinessGrowth #Innovation #AITools #TechTrends #SmartBusiness #AIForBusiness #WorkplaceInnovation #NextGenTech Business Transformation Consultant | AI Adoption expert | Business Analysis, Change Manager, SME Investor Too often, AI adoption is seen as replacing people with machines. But I see it differently. The real power of AI is in enhancing the human touch. 💡 From my perspective, successful AI adoption comes down to 3 things: 1️⃣ Keeping AI human-centric — tech should support people, not compete with them.

2️⃣ Tailoring solutions — every business has unique needs, especially SMEs. 3️⃣ Providing support — teams thrive when change empowers, not overwhelms. The future of work is human-led, AI-powered. 🚀 #AI #FutureOfWork #AIForSMEs #BusinessGrowth Rekha Thomas, Principal at Path Forward Marketing, advises high-growth companies on GTM strategy and provides fractional CMO services. "AI for first drafts" has rapidly become one of the most frequently touted use cases by marketers for B2B content workflows.

Marketers often point to saving time as a value prop of using AI, but this messaging oversimplifies the benefit. After all, not all content serves the same purpose. With the right inputs (messaging and positioning docs, brand and style guides), AI can quickly generate first drafts of product data sheets, proposals and technical assets to save significant time. Coupling these primary sources with prescriptive prompting about audience and channel empowers marketers to automate content creation at scale. While AI excels at speeding up drafts in these examples, it falls short when content demands originality, nuance and authenticity. Abraham Verghese, author of The Covenant of Water and Cutting for Stone, spoke on the Writing Excuses podcast about the idea of muddling through as part of his creative process, saying: "I think we...

You just can't adopt someone else's method and have it work for you. It doesn't always happen that way." The paradigm shifts at work will ripple across education, labor markets, commerce, and more. Frontier Firms—organizations that are human-led and AI-operated—are rewriting the playbook for how work gets done. They’re upending century-old assumptions about where expertise lives, how work runs, and how knowledge grows. And they’re poised to reshape just about every aspect of society.

Businesses have always led technological change, and the reason is simple: money doesn’t just talk, it talks faster. The same economic incentives that once drove the spread of the telegraph, electricity, and the internet are now pushing firms to weave intelligence into every layer of their operations. But those shifts didn’t stay confined to business for long. The telegraph began as a tool for railroads and traders but soon connected people across continents. Edison’s electric light started in factories and offices yet ultimately gave rise to cities that never sleep. The internet was born as a research network, but now powers not just the global economy, but nearly every aspect of modern life.

AI is following the same arc. The paradigm shifts that begin inside businesses will ripple outward—transforming education, labor markets, commerce, and more for decades to come. We’ve all been there. Staring at a blank page, the cursor blinking with mocking persistence. That initial hurdle—the first draft—is often the most daunting part of any creative or professional endeavor. But what if you had a co-pilot, an assistant capable of transforming a simple prompt into a structured, coherent starting point?

This is the promise of “Draft AI,” a concept that has moved from a niche tech fantasy to a mainstream business reality, fundamentally altering how we write, code, and create. First, let’s clear up a common misconception. “Draft AI”; isn’t a single brand or product. While you might find tools with that name (some now defunct, like Draft.co’s former AI service), the term has evolved to describe a *category* of technology. At its core, Draft AI refers to the use of generative artificial intelligence to produce a preliminary version—a first draft—of written or visual content. Think of it as an intelligent assistant that takes your instructions and generates articles, emails, legal documents, marketing copy, or even patent applications .

Unlike a simple template, a Draft AI tool leverages complex algorithms to create novel text that mimics human writing. It’s designed to handle the “heavy lifting” of initial creation, allowing human professionals to focus their energy on refinement, strategic thinking, and adding nuanced expertise. The magic behind Draft AI is a combination of Natural Language Processing (NLP) and large language models (LLMs), the same technology powering tools like ChatGPT. NLP allows the machine to understand and interpret human language—your prompts and instructions—while the LLM generates new text based on the vast patterns it learned from its training data . However, for specialized fields, the most advanced Draft AI tools go a step further. They employ a technique called Retrieval-Augmented Generation (RAG).

Instead of relying solely on general internet data, RAG systems first retrieve relevant, verified information from a specific, trusted knowledge base—like a law firm’;s internal case files or a company’s brand style guide. The AI then uses this curated data to “ground” its response, ensuring the draft is not only coherent but also accurate and contextually appropriate. This is crucial for mitigating the risk of AI “hallucinations” in high-stakes environments like legal drafting . Hello and welcome to Eye on AI. In this edition: LinkedIn chief product officer Tomer Cohen talks about the future of work and how the Microsoft-owned professional sbocial network is using AI to make the lives of recruiters and job seekers,... Is it a model for solving AI’s IP conundrum?If you want to know how AI is changing the nature of work, LinkedIn offers a good vantage point.

The Microsoft-owned professional social network is a key hub for job seekers and recruiters—every minute, 10,000 people apply for a job through the platform and seven people are successfully hired on it, according to... That means it has lots of data on what roles companies are hiring for and the skills they are looking for. LinkedIn is also a good lens through which to examine how AI is altering the nature of looking for work.The person ultimately responsible for rolling out AI product features at LinkedIn is Tomer Cohen,... I recently sat down with Cohen at LinkedIn’s London office to chat about AI’s impact on job seekers, recruiters, and on LinkedIn’s own platform. Cohen started out by telling me that the company’s research suggests that 70% of skills used in most jobs will change by 2030, with AI being a big driver of those changes. That’s only four years from now.

And there are already signs of big shifts happening. LinkedIn also publishes an annual report called “Jobs on the Rise” about which roles are seeing the most growth in job listings in specific geographies. This year, 70% of the roles seeing the fastest growth were new to the list. And what was the most in-demand role on the list? Well, perhaps not surprisingly, it was “artificial intelligence engineer.”With roles potentially morphing so quickly, Cohen says, wise employers are starting to think less about the specific roles they need to fill—and in fact, are... So this year, LinkedIn produced a new report called “Skills on the Rise.” Again, not surprisingly, it turns out “AI literacy” ranks as one of the most sought-after skills.

But so too do broad, human-oriented skills such as “innovative thinking,” “problem solving,” “strategic thinking,” “public speaking,” “conflict mitigation,” and “relationship building.”For Cohen, the most striking stat from LinkedIn’s research is that people entering... “If there was ever a time to build a growth mindset and emphasis on adaptability and agility and the ability to learn and shift between roles, it’s right now,” he says. Formal college and university education is going to matter much less than it did before—at least in terms of what degree people actually get. Instead, smart employers, he says, are going to be looking for life-long learners who can quickly acquire new skills and adapt to new responsibilities. Cohen used the example of how AI was rapidly allowing the creation of a new role that he calls “the full stack builder”—by which he means someone who can, with the help of AI,... He also notes that there is a tension because time spent learning is often time away from actually doing the day-to-day work and because not all experiments in trying to build things with AI...

But he says companies need to find this balance. If anything, he says, they should tip the scale in favor of helping employees learn AI skills.“If you are over-indexing on performing [as opposed to learning], you will be behind,” he says. “Giving people space to learn is critical. You have to transform your own workforce. If in one year’s time, you are disappointed that your workforce is not ‘AI native,’ it is your fault [for not giving them time to learn AI skills.]” I asked Cohen about complaints that AI was having a detrimental effect on the recruitment process.

I’ve heard companies say candidates are using generative AI to apply for many more jobs than in the past, so that they were being inundated with applications. What’s more, more people were using generative AI to burnish their CVs and cover letters, making applicants appear more homogenous and making the screening process more difficult—forcing employers in many cases to turn to... The use of AI tools for initial screening interviews, something many companies now use, can feel dehumanizing for job seekers—and might unfairly disadvantage candidates who would be good hires but are flustered by doing... (Worse, in some cases the AI screening tools may harbor hidden biases that even the companies using them may not be aware of.)Cohen acknowledged that these were problems. But he said LinkedIn’s AI tools were hopefully designed to help counteract some of these trends. For instance, he says it is a tough job market right now in most of the developed world.

As a result, many job seekers are feeling a bit desperate and generative AI has in some ways made it easier for people to apply for jobs that might not be the best fit... LinkedIn now has AI-powered tools that help a candidate decide how good a match their skills are for a role, providing them with a percentage for how closely they match what the employer is... Cohen says that more than a third of job seekers on LinkedIn use this tool. LinkedIn has also revamped its search process using generative AI, so job seekers no longer need to use keywords that might match what is in the job description and instead can simply describe in... The tool, which works with both voice and text, is mostly designed for the kinds of interactions that an employee and a manager might have—giving challenging feedback, or conducting a performance review, or discussing... But it could also be used to practice for a job interview.

How The Ai First Draft Mindset Is Reshaping Work Linkedin

People Also Search

At Workhuman, We’ve Embraced An AI First Draft Mindset, Where

As AI Adoption Grows, So Does #productivity. Workhuman CEO Eric

#AI #ArtificialIntelligence #FutureOfWork #DigitalTransformation #BusinessGrowth #Innovation #AITools #TechTrends #SmartBusiness #AIForBusiness

2️⃣ Tailoring Solutions — Every Business Has Unique Needs, Especially

Marketers Often Point To Saving Time As A Value Prop