How AI Integration Boosts Productivity

I've received a few questions on this, so thought I'd share 5 ways I'm using AI in my day-to-day at work to boost productivity, insight, and strategic clarity: Benchmarking: I use AI daily to quickly validate metrics and performance benchmarks. For instance, when reviewing email open rates, I ask ChatGPT (and other LLMs) for industry benchmarks segmented by email types, industries and content. This provides immediate clarity on performance against the rest, and I can see if we're good, great, or have work to do. This information was hard to find or non-existent before and instantly helps builld context. Thought Partner: LLMs elevate my strategic thinking. Whether analyzing competitors or drafting new strategies, I leverage AI to rapidly identify gaps, assess my thoughts against frameworks like "Seven Powers," and run game theory on them with competitive response and market players. It uplevels my thinking and leads to more comprhensive considerations. Deepening Customer Insights: By processing sales call transcripts and meeting notes through AI, I can surface customer pain points and uncover new insights, which improves my understanding of customer needs, sales blockers and messaging that otherwise would be hard to come by. Writing Partner: I use AI to power my writing process—from refining documents to constructing logical, concise, and compelling arguments. It helps draft outlines, provides examples and proof-points to reinforce my assertions, and streamlines my writing. All-in it makes my writing better and faster. Automating Daily Tasks: I use AI-powered tools daily to track competitors, monitor market trends, and check-in on things I care about. It never stops working and so I always have this information available as needed. Today, AI is integral to about half of my workday. And this is just the beginning—there's even more potential to unlock with automations such as reviewing and drafting replies for my emails, prioritizing which documents to review next, and automated meeting prep. How are you integrating AI into your workflow? I'd love to hear what's worked for you.

It's well understood that AI has the ability to impact individual productivity. But most critical work is done in teams. What's AI role within a team? A new HBS paper studies how AI acting as a Teammate impacts knowledge work. The study tracked hundreds of professionals (business & technical) at P&G and analyzed the impact of using AI on individuals and teams measured by time savings and output. (Link to paper in comments) * Big Takeaway: AI often functions as more of a teammate than a tool, democratizing expertise, improving quality of output, and even improving emotional experiences. * Big Productivity Gains:  Individuals and Teams using GPT-4 completed tasks 12-16% faster and produced work 0.37-0.39 standard deviations higher in quality.   * Blurring Expertise Boundaries: AI helped both R&D and Business specialists produce balanced technical and commercial solutions, erasing traditional knowledge silos.    * AI as a Teammate Equivalent: Individuals using AI performed on par with two-person teams without AI, demonstrating the AI as a teammate concept is real. * AI Teammates + Human Teammates Work Best: Teams using AI were significantly more likely to produce top-tier solutions, suggesting that there is extra value in having human teams working on a problem + AI. * Enhanced Emotional Experience: Participants using AI reported significantly more positive emotions (excitement, energy) and fewer negative emotions (anxiety, frustration). The author (Ethan Mollick) provides prescient guidance to companies:  “To successfully use AI, organizations will need to change their analogies. Our findings suggest AI sometimes functions more like a teammate than a tool. While not human, it replicates core benefits of teamwork—improved performance, expertise sharing, and positive emotional experiences.” AI founders would do well to remember AI should be more than a tool and seek to be a teammate.

AI isn't just a tool; it's becoming a teammate. A major field experiment with 776 professionals at Procter & Gamble, led by researchers from Harvard, Wharton, and Warwick, revealed something remarkable: Generative AI can replicate and even outperform human teamwork. Read the recently published paper here: In a real-world new product development challenge, professionals were assigned to one of four conditions: 1. Control Individuals without AI 2. Human Team R&D + Commercial without AI (+0.24 SD) 3. Individual + AI Working alone with GPT-4 (+0.37 SD) 4. AI-Augmented Team Human team + GPT-4 (+0.39 SD) Key findings: ⭐ Individuals with AI matched the output quality of traditional teams, with 16% less time spent. ⭐ AI helped non-experts perform like seasoned product developers. ⭐ It flattened functional silos: R&D and Commercial employees produced more balanced, cross-functional solutions. ⭐ It made work feel better: AI users reported higher excitement and energy and lower anxiety, even more so than many working in human-only teams. What does this mean for organizations? 💡 Rethink team structures. One AI-empowered individual can do the work of two and do it faster. 💡 Democratize expertise. AI is a boundary-spanning engine that reduces reliance on deep specialization. 💡 Invest in AI fluency. Prompting and AI collaboration skills are the new competitive edge. 💡 Double down on innovation. AI + team = highest chance of top-tier breakthrough ideas. This is not just productivity software. This is a redefinition of how work happens. AI is no longer the intern or the assistant. It’s showing up as a cybernetic teammate, enhancing performance, dissolving silos, and lifting morale. The future of work isn’t human vs. AI. The next step is human + AI + new ways of collaborating. Are you ready?

🧠 Workers using AI performed just as well as full teams while working 16% faster and reporting more excitement, energy, and enthusiasm. This isn’t speculation...it’s what 776 professionals at Procter & Gamble just proved in a study. The latest research reveals something we’re only beginning to grasp: AI isn’t just a tool. It’s a teammate. Here’s what People Analytics leaders need to know: 1️⃣ AI boosts individual performance to team-level outcomes 🔹 Individuals using GenAI improved performance by +0.37 standard deviations, matching the effectiveness of human teams. 🔹 They also worked 16.4% faster, producing longer, more detailed solutions. 📌 Takeaway: One AI-enabled employee can now match the output of a traditional 2-person team. 2️⃣ AI breaks down expertise silos 🔹 Commercial specialists started suggesting technical solutions. 🔹 R&D pros brought forward customer-facing ideas. 🔹 AI leveled the playing field across specialties. 📌 Takeaway: GenAI is becoming the great equalizer in cross-functional collaboration. 3️⃣ AI improves emotional experience at work 🔹 Participants reported more energy, excitement, and enthusiasm. 🔹 They also saw lower frustration and anxiety when AI was in the loop. 📌 Takeaway: AI isn’t just changing how we work—it’s changing how we feel at work. 4️⃣ AI helps surface breakthrough ideas 🔹 AI-enabled teams were 3x more likely to generate top 10% solutions. 🔹 Even less experienced employees delivered ideas on par with veterans. 📌 Takeaway: AI is democratizing creativity and unlocking hidden potential across the org. 💡 Bottom line for People Analytics teams: AI isn’t just enhancing productivity. It’s reshaping how teams form, how they collaborate, and how individuals experience their work. Check the comments for the full research paper and Ethan Mollick’s excellent breakdown. How is your organization measuring the real impact of AI on collaboration, expertise, and experience? #GenAI #AIAdoption #PeopleAnalytics #FutureOfWork #WorkforceTransformation

Harvard and Wharton just discovered a shocking truth: They conducted an experiment at Procter & Gamble where human teams faced off against solo workers with AI tools. Here are 3 game-changing findings that challenge everything we know about AI in the workplace: Finding #1: AI functions as a true teammate, not just a tool. The study of 776 P&G professionals revealed how ONE person with AI performed at the same level as TWO humans working together. Even more striking: AI-assisted teams performed best overall while working faster. AI-equipped workers were also more likely to generate the top 10% of solutions. This isn't just a minor productivity boost—it's a fundamental shift in how work can be done. Finding #2: AI bridges departmental knowledge gaps. When teams used AI tools: • R&D proposed more commercially viable ideas • Commercial teams developed more technically sound solutions AI tools effectively bridged expertise gaps, creating more well-rounded solutions regardless of someone's background. Finding #3: AI improves the emotional experience of work. The researchers expected resistance to AI. Instead, they found the opposite: • Higher excitement and enthusiasm • Lower anxiety and frustration • Better emotional experience than traditional teamwork This challenges everything we thought we knew about human-AI collaboration. AI-equipped teams are producing top-tier solutions more often and completing work 12-16% faster than their counterparts. This isn't a distant future scenario—it's happening now. The question isn't whether AI will change your work environment, but whether your organization will adapt quickly enough. - Thanks for reading! I'm Baptiste Parravicini: • Tech entrepreneur & API visionary • Co-founder of APIdays, the world's leading API conference • Passionate about AI integration & tech for the greater good Want more on becoming the future of tech? Check out the comments ⬇️

New research from Harvard Business School explores a big question: What if AI isn’t just a tool but a teammate? In a large-scale field experiment with Procter & Gamble, researchers tested how GPT-4 affected performance when used by individuals versus teams of experienced professionals working on real product development challenges. Some key findings: - AI-enabled individuals performed as well as teams without AI - Teams using AI produced the best and most exceptional results overall — not only did they outperform others, but they were significantly more likely to generate top 10% solutions - AI helped bridge expertise gaps and broke down professional silos - Participants using AI had better emotional experiences — more excitement, less frustration The takeaway? AI isn't just about individual productivity — it’s reshaping how we collaborate, think, and solve complex problems. It’s acting more like a cybernetic teammate, not just a more efficient tool. The working paper — “The Cybernetic Teammate: A Field Experiment on Generative AI Reshaping Teamwork and Expertise” — is worth a read. As someone interested in the future of work, this raises important questions: 1. How do we design teams when AI levels the playing field? 2. What happens to traditional boundaries between roles? 3. How do we rethink collaboration when AI enhances both performance and emotional engagement? Curious what you all think — especially if you’re leading teams or exploring how to integrate AI meaningfully into your org. #FutureOfWork #LinkedInWorkplace #LinkedInLife #WorkplaceResearch