Latest news with #OpenTalent
Yahoo
21-05-2025
- Business
- Yahoo
Graphite Launches GraphiteOS, the AI-Powered Operating System Built to Transform the Staffing Industry
The platform leverages AI to automate recruiting workflows from candidate sourcing to matching to onboarding, helping staffing firms improve recruiter productivity and accelerate growth. SAN FRANCISCO, May 21, 2025 /PRNewswire/ -- Graphite, the pioneering technology company reshaping how companies build and manage their workforces, today announced the launch of GraphiteOS, an AI-powered recruiting operating system designed specifically for staffing and gig-work firms. The platform transforms the entire recruitment lifecycle from sourcing and candidate matching to onboarding, time-tracking, and back-office automation - delivering unprecedented efficiency, productivity, and growth. The $650B staffing industry is at an inflection point today, challenged by low operating margins and pressure to deliver better results while keeping pace with rapid AI innovation. Traditional staffing applicant tracking systems and manual workflows have not evolved fast enough to meet these demands. GraphiteOS introduces a purpose-built, AI-native solution that helps firms dramatically enhance recruiter productivity, elevate candidate and client experiences, and differentiate themselves in a competitive marketplace. GraphiteOS has been built by the team behind Graphite, a platform trusted by leading organizations for its innovation, intuitive design, and deep capabilities supporting the flexible talent landscape. GraphiteOS integrates cutting-edge AI capabilities like intelligent candidate profile parsing & generation, dynamic candidate matching, and automated sourcing & enriched outreach. These capabilities ensure that recruiters spend their valuable time on high-value interactions rather than repetitive tasks better suited for AI. "We're at a turning point where AI isn't just a tool - it's reshaping how staffing firms operate," said Vikram Ashok, CEO and Founder of Graphite. "GraphiteOS enables firms to streamline operations, elevate recruiter productivity, and focus on what matters most - achieving better outcomes for clients, candidates, and recruiters. I see a future where staffing firms run leaner, tech-enabled teams powered by AI agents and a strong data backbone, on GraphiteOS, unlocking growth without adding headcount." John Winsor, Executive Fellow at Harvard Business School and author of Open Talent, added, "AI isn't about replacing human jobs—it's about augmenting human capabilities. GraphiteOS exemplifies how thoughtful AI integration can amplify human potential, ensuring that the future of work remains deeply human and fundamentally collaborative while taking away the friction of analog staffing processes." Early adopters of GraphiteOS have already seen significant operational improvements, including faster candidate placements, improved match quality, and reduced operational costs. About Graphite Graphite builds technology that powers the future of work. Since 2014, the company has helped staffing firms, enterprises, and talent platforms transform how they find and manage top talent. Forward-thinking organizations leverage Graphite to operate with greater speed, precision, and flexibility. To learn more or request a demo, visit For further information, please reach out to pressinquiries@ View original content to download multimedia: SOURCE Graphite Solutions, Inc.


Forbes
20-05-2025
- Business
- Forbes
It's Not About Jobs
The ground beneath the world of work is shifting. As Rishad Tobaccowala insightfully argues in his latest piece, The Decline of Jobs. The Rise of Work, we are witnessing a profound transformation, not just in how people earn a living but also in how organizations create value. This is not a temporary blip on the post-pandemic radar. It's a structural reordering of the way we think about work, productivity, and ultimately, business resilience. Let's be clear: jobs are a relic of the industrial age. They were never really designed to serve people. They were designed to serve factories. Jobs emerged in an era when the cost of coordination was high and the tools for distributing tasks were limited. So we bundled up a series of vaguely defined responsibilities, gave it a title, slapped on a salary, and called it a job. But jobs aren't the work. And increasingly, they're standing in the way of it. In the analog era, organizations put the burden of translating goals into outcomes on managers and employees. Now, thanks to the rise of generative AI and other enabling technologies, we can flip that model. We can define the outcomes first, then break down the work into discrete, task-level units, matching each task with the best available human or synthetic skill. This taskification of work is not just a trend. It's an imperative. It allows organizations to evolve from a system optimized for headcount to one optimized for value creation. That means moving more fixed costs to variable ones. It means decoupling salaries from outcomes and deploying labor, whether full-time, freelance, or AI, in ways that are agile, efficient, and scalable. Put simply, in the new world of work, organizations need stronger balance sheets, and the only way to get there is by transforming how they structure labor. Let's borrow a page from the Open Talent playbook. Over the last decade, we've seen how companies that embrace open ecosystems, leveraging freelancers, crowdsourcing, and talent platforms, are more adaptive, more innovative, and more resilient. Why? Because they've traded the rigidity of headcount for the flexibility of outcome-based work. This isn't about replacing people with AI. It's about making people more human by freeing them from the constraints of traditional job descriptions. It's about unleashing their creativity, their purpose, and their potential in service of clearly defined goals. AI doesn't eliminate the need for humans; it clarifies it. The challenge and opportunity for leaders today is to build a new kind of organizational architecture: one that is modular, fluid, and outcome-driven. It's time to stop organizing around jobs and start organizing around work. This transformation isn't just technical. It's deeply human. As I wrote in Open Talent and have continued to explore through my work with Harvard and Open Assembly, the future of work demands a new leadership mindset. One that is more emotionally intelligent, more adaptive, and more open. If the old way was about control and compliance, the new way is about trust and transparency. It's about giving people the autonomy to plug into work when they are most capable and inspired. And it's about building cultures where human ingenuity is amplified by intelligent systems, not stifled by legacy structures. For CEOs navigating this inflection point, the message is clear: it's time to rewire your organizations for resilience, not routine. That means moving beyond legacy job structures and investing in a modular, outcome-driven architecture that flexes with change. Build platforms that let people do their best work, whether human, freelance, or AI-powered, and design cultures where creativity, autonomy, and purpose are front and center. The winners won't be those with the biggest headcount, but those with the clearest outcomes and the most innovative systems to deliver them.


Forbes
28-04-2025
- Business
- Forbes
One More Nail In The Coffin Of Ad Agencies
Are production sets like this a thing of the past? Brands&People In a major shift for the creative industry, Microsoft recently launched an ad for its Surface line that was almost entirely created by artificial intelligence. Using tools like Hailuo and Kling, the design team generated every scene except for a few human close-ups, such as hands typing. The ad ran for three months without anyone noticing it was AI-made, proving Shelley Palmer's insight: "If you cannot tell the difference, there effectively is no difference." This milestone highlights a critical transformation in how brands create content. As Palmer smartly frames it, creative work now falls into two categories: "required" content, practical, executional work increasingly handled by AI, and "inspired" content deeply human storytelling still beyond AI's full reach. Microsoft's Surface ad achieved a 90% reduction in time and cost while maintaining broadcast-quality standards. For brands and agencies alike, this signals an urgent need to rethink how creativity is produced, valued, and rewarded. When I led strategy at Crispin Porter + Bogusky, one of the most decorated creative agencies in history, we focused intensely on unpredictable human creativity. Later, at Victors & Spoils, we pioneered open talent models, demonstrating that creativity could survive and thrive in new structures. In my book Open Talent, I argue that embracing open networks and AI-driven collaboration doesn't diminish creativity; it liberates it, amplifying human potential by automating required content. The implications are clear: AI can now efficiently handle the "required" creative work, freeing human teams to focus on the "inspired" work that moves hearts and builds brands. However, the economic efficiencies AI brings are already compelling brands to recalibrate their balance between human creativity and machine-driven execution. Brands now have the opportunity to fundamentally rethink their creative strategies. First, it's no longer necessary or financially wise to pay for agency overhead. Freelancers, empowered by AI tools and connected through emerging platforms like Hence Creative, can deliver exceptional results with greater agility and at a fraction of the cost. The bloated agency model is giving way to streamlined, open networks that prioritize speed, innovation, and return on creative investment. Second, companies must recognize the opportunity to automate and streamline their required content. AI can rapidly generate high-quality, functional creative assets, enabling brands to reduce costs and reallocate resources toward more strategic and emotionally resonant initiatives. This shift is not about replacing creativity; it's about reclaiming the time and space for deeper innovation. At the same time, AI's ability to handle routine creative tasks allows human teams to focus on what matters most: inspired storytelling. Freed from production-heavy demands, creative professionals can push boundaries, explore cultural narratives, and forge the emotional connections that truly engage audiences. In this new era, the brands that thrive will be the ones that understand creativity as more than content; they'll see it as a profound emotional dialogue with consumers. Finally, brands must adopt an open talent mindset. AI reaches its greatest potential when paired with diverse human insights. By tapping into a global pool of freelance and independent talent, brands can access broader perspectives, richer ideas, and faster innovation. AI isn't a competitor in this model; it's a collaborator, amplifying the capabilities of a dynamic, distributed creative workforce. Ultimately, the adoption of AI-generated content might spell the end of traditional ad agencies that cling to outdated structures. Those unwilling to evolve will find themselves struggling to survive. But those who embrace AI as a tool for enhancing human creativity, blending technology with diverse, open networks of talent, will lead the next wave of storytelling innovation. The future of creativity won't be built behind the walls of traditional agencies. It will emerge from open ecosystems, where humans and machines collaborate, liberated from legacy systems, and ready to meet a new era of brand building.