#AI Enterprise Automation Tools

[hireworkforce]

Boosting Operational Efficiency with AI-Driven Workflow Automation and AI Enterprise Automation Tools

In today's fast-evolving digital landscape, organizations are under constant pressure to do more with less, faster, smarter, and more efficiently. Hire Workforce, a leader in workforce solutions, is addressing these challenges head-on with the implementation of AI-driven workflow automation and robust AI enterprise automation tools that redefine how businesses operate.

AI-driven workflow automation is transforming how tasks are assigned, tracked, and completed. At Hire Workforce, this technology has enabled a shift from traditional manual operations to intelligent systems that automate routine processes like data entry, scheduling, document management, and employee onboarding. As a result, businesses experience reduced human error, faster turnaround times, and better resource allocation.

What sets Hire Workforce apart is its strategic deployment of AI enterprise automation tools tailored for scalability and flexibility. These tools are designed to integrate seamlessly with existing systems across HR, finance, customer service, and operations. From predictive analytics that optimize workforce planning to intelligent chatbots that handle HR queries, the platform ensures that automation enhances, rather than replaces, human roles.

The benefits are far-reaching. Enterprises working with Hire Workforce report significant improvements in team productivity, lower operational costs, and enhanced decision-making through real-time data insights. These outcomes are especially vital for mid-to-large organizations aiming to remain agile in competitive markets.

Moreover, Hire Workforce emphasizes customization, offering AI automation solutions that align with each client’s specific operational needs and industry regulations. This client-centric approach ensures that the implementation of AI tools does not disrupt existing workflows but instead enhances them for long-term efficiency.

As companies continue to seek digital transformation, Hire Workforce is positioned as a forward-thinking partner delivering cutting-edge automation solutions. With AI-driven workflow automation and advanced AI enterprise automation tools, the company empowers organizations to focus more on strategic growth and less on manual bottlenecks.

[jcmarchi]

Stackpack Secures $6.3M to Reinvent Vendor Management in an AI-Driven Business Landscape

New Post has been published on https://thedigitalinsider.com/stackpack-secures-6-3m-to-reinvent-vendor-management-in-an-ai-driven-business-landscape/

Stackpack Secures $6.3M to Reinvent Vendor Management in an AI-Driven Business Landscape

In a world where third-party tools, services, and contractors form the operational backbone of modern companies, Stackpack has raised $6.3 million to bring order to the growing complexity.

Led by Freestyle Capital, the funding round includes support from Elefund, Upside Partnership, Nomad Ventures, Layout Ventures, MSIV Fund, and strategic angels from Intuit, Workday, Affirm, Snapdocs, and xAI.

The funding supports Stackpack’s mission to redefine how businesses manage their expanding vendor networks—an increasingly vital task as organizations now juggle hundreds or even thousands of external partners and platforms.

Turning Chaos into Control

Founded in 2023 by Sara Wyman, formerly of Etsy and Affirm, Stackpack was built to solve a problem she knew too well: modern companies are powered by vendors, yet most still track them with outdated methods—spreadsheets, scattered documents, and guesswork. With SaaS stacks ballooning and AI tools proliferating, unmanaged vendors become silent liabilities.

“Companies call themselves ‘people-first,’ but in reality, they’re becoming ‘vendor-first,’” said Wyman. “There are often 6x more vendors than employees. Yet there’s no system of record to manage that shift—until now.”

Stackpack gives finance and IT teams a unified, AI-powered dashboard that provides real-time visibility into vendor contracts, spend, renewals, and compliance risks. The platform automatically extracts key contract terms like auto-renewal clauses, flags overlapping subscriptions, and even predicts upcoming renewals buried deep in PDFs.

AI That Works Like a Virtual Vendor Manager

Stackpack’s Behavioral AI Engine acts as an intelligent assistant, surfacing hidden cost-saving opportunities, compliance risks, and critical dates. It not only identifies inefficiencies—it takes action, issuing alerts, initiating workflows, and providing recommendations across the vendor lifecycle.

For instance:

Renewal alerts prevent surprise charges.

Spend tracking identifies underused or duplicate tools.

Contract intelligence extracts legal and pricing terms from uploads or integrations with tools like Google Drive.

Approval workflows streamline onboarding and procurement.

This brings the kind of automation once reserved for enterprise procurement platforms like Coupa or SAP to startups and mid-sized businesses—at a fraction of the cost.

A Timely Solution for a Growing Problem

Vendor management has become a boardroom issue. As more companies shift budgets from headcount to outsourced services, compliance and financial oversight have become harder to maintain. Stackpack’s early traction is proof of demand: just months after launch, it’s managing over 10,500 vendors and $510 million in spend across more than 50 customers, including Every Man Jack, Rho, Density, HouseRx, Fexa, and ZeroEyes.

“The CFO is the one left holding the bag when things go wrong,” said Brandon Lee, Accounting Manager at BizzyCar. “Stackpack means we don’t have to cross our fingers every quarter.”

Beyond Visibility: Enabling Smarter Vendor Decisions

Alongside its core platform, Stackpack is launching Requests & Approvals, a lightweight tool to simplify vendor onboarding and purchasing decisions—currently in beta. The feature is already attracting customers looking for faster, more agile alternatives to traditional procurement systems.

With a long-term vision to help companies not only manage but discover and evaluate vendors more strategically, Stackpack is laying the groundwork for a smarter, interconnected vendor ecosystem.

“Every vendor decision carries legal, financial, and security consequences,” said Dave Samuel, General Partner at Freestyle Capital. “Stackpack is building the intelligent infrastructure to manage these relationships proactively.”

The Future of Vendor Operations

As third-party ecosystems grow in size and complexity, Stackpack aims to transform vendor operations from a liability into a competitive advantage. Its AI-powered approach gives companies a modern operating system for vendor management—one that’s scalable, proactive, and deeply integrated into finance and operations.

“This isn’t just about cost control—it’s about running a smarter company,” said Wyman. “Managing your vendors should be as strategic as managing your talent. We’re giving companies the tools to make that possible.”

With fresh funding and a rapidly expanding customer base, Stackpack is poised to become the new standard for how modern businesses manage the partners powering their growth.

[zentarablog]

10 Ways Technology is Boosting Workplace Productivity

In the contemporary professional landscape, productivity is the currency of success. Businesses and individuals alike are constantly seeking innovative strategies to optimize output, streamline workflows, and maximize efficiency. At the forefront of this revolution is technology, which has fundamentally transformed how we work, collaborate, and manage our time. Far from being a mere convenience,…

[truetechreview]

Ultimate Guide to DeepSeek AI for Business Growth

Table of Contents of DeepSeek AI for Business Growth1. Introduction: Why AI is Essential for Modern Business Growth2. What Is DeepSeek AI?3. Top 5 DeepSeek AI Tools for Scaling Businesses3.1 Demand Forecasting Engine3.2 Customer Lifetime Value (CLV) Predictor3.3 Automated Supply Chain Optimizer3.4 Dynamic Pricing Module3.5 Sentiment Analysis Hub4. How DeepSeek AI Reduces Costs and Boosts…

[infosprint]

AI and Automation in June 2025: Top Enterprise Shifts

June 2025 marked a turning point in enterprise technology, where artificial intelligence and automation moved from experimental to essential. In this blog, Infosprint Technologies breaks down six significant AI and automation developments every business leader needs to know — from OpenAI’s release of the reasoning-driven o3-Pro model to Anthropic’s launch of Claude Gov, a government-grade secure AI platform.

We also explore how giants like Salesforce, AWS, SAP, UiPath, and IBM are embedding generative AI into real-world business systems. Think: bots that navigate complex UIs, AI that drafts emails from your data, and cloud-based RPA tools that your HR or finance team can build without code.

Key Highlights:

OpenAI’s o3-Pro is up to 80% cheaper, making deep AI accessible to SMBs.

Anthropic’s Claude Gov shows the future of regulated, secure AI for defense and government.

Salesforce and SAP are enabling AI agents to interact with CRMs and ERP systems in real time.

UiPath and IBM are moving RPA from IT-only tools to enterprise-wide automation frameworks.

The rise of agentic AI means bots now decide, adapt, and act — not just follow rules.

Whether you’re a CIO, CTO, or business strategist, this blog offers a roadmap for navigating AI transformation in Q3 and beyond.

[getoncrm-salesforce-insights]

GetOnCRM’s Winning Formula at the 2025 Agentforce Hackathon

The focus at the 2025 Salesforce Agentforce Hackathon was on execution rather than just innovation. GetOnCRM’s Agentforce Hackathon solution stood out among the dozens of teams that built quickly and strategically because it not only delivered a brilliant idea but also a functional model that addressed actual internal workflow problems.

What was unique about GetOnCRM? It was clarity, not complexity.

Resolving the Issue No One Discusses

Slow internal support is a problem for the majority of enterprise teams. Ticket stall. Escalations are postponed. Valuable time slips away. GetOnCRM addressed the fundamental problem—internal service delays—and used intelligent Salesforce automation to resolve it rather than developing a new tracking tool.

Their remedy? A Slack-integrated support workflow created with Salesforce Flow Builder automation and connected through Salesforce Data Cloud integration. The agent could:

Quickly determine the urgency of the ticket

Pull background information from previous cases

Escalate to the appropriate channel in real time

You can accomplish this without ever leaving Slack.

This was not a theoretical demo—it was a functional prototype made for real enterprise support teams.

Integration in Real Time That Works

What made the solution even more impactful was its seamless connection to live enterprise data. With Salesforce Data Cloud, the agent worked off the latest information—not outdated snapshots—allowing it to make fast, accurate decisions without human intervention.

Thanks to agent memory and context awareness, the bot could deliver a personalized, intelligent support experience, reducing back-and-forth between staff.

The Tools That Powered the Win

GetOnCRM’s strategy was built on simplicity and real impact. These were the key ingredients:

Salesforce Agent Builder—the central control hub for the entire workflow

Slack-based Salesforce workflows—removing the need to juggle tools

Apex logic and Flow Builder—to automate smart, multi-step decisions

Cross-cloud Salesforce automation—linking operations, support, and collaboration platforms like Health Cloud, CPQ, and Revenue Cloud

Their approach resulted in a workflow that was not just smart but also scalable and enterprise-ready.

Built for Teams That Want to Move Faster

The goal wasn’t flashy tech—it was to remove friction from business processes. The hackathon confirmed what GetOnCRM’s Salesforce automation consulting services already strive for: real transformation using the right tools, fast.

This project wasn’t just a hackathon submission—it became a repeatable automation framework for intelligent support and operations.

✅ Want to learn how GetOnCRM uses Salesforce Agentforce to transform enterprise workflows?

Read the full case study on our Agentforce Hackathon success.

[ailifehacks]

Enterprise AI Workflow Automation: Deloitte’s 2026 Vision of Agentic Systems at Work

Enterprise AI workflow automation is revolutionizing business operations. Deloitte’s 2026 vision explores agentic systems streamlining enterprise-level workflows across industries in the USA, UK, and Europe. Enterprise AI workflow automation is rapidly transforming how companies operate, innovate, and scale. According to Deloitte’s 2026 insights, agentic systems — AI agents that plan, decide,…

[blocktrendz]

From Chaos to Control: How AI Agents Are Rewriting the Rules of Productivity and Efficiency!!!

In a world increasingly defined by complexity, where teams are drowning in tasks, decisions are delayed, and data is overwhelming, a quiet revolution is reshaping the landscape of AI agents.

These intelligent, adaptive systems are no longer just futuristic concepts. They are now embedded across industries, transforming how we manage work, automate decisions, and enhance human capabilities. From startup founders to enterprise teams, everyone is looking for ways to reclaim control, and AI Agent Development Company is the answer.

The Evolution of Efficiency: Where Traditional Automation Fails

Traditional automation tools have long aimed to streamline operations. From basic scripts to robotic process automation (RPA), businesses have deployed countless solutions in search of productivity. Yet, most of these tools are rigid, rule-based, and ill-equipped to handle change.

Let’s face it: The modern business environment is unpredictable. Markets shift rapidly, customer needs evolve, and data streams in from every direction. What companies need today are not just automated systems, but intelligent agents that can adapt, learn, and evolve in real time.

Enter AI agents, smart, autonomous, and deeply contextual systems that not only perform tasks but also make informed decisions on your behalf.

What Exactly Are AI Agents?

AI agents are software entities designed to perceive their environment, analyze data, and act autonomously to achieve specific goals. These agents can handle a wide range of functions scheduling meetings, automating support, analyzing data, managing workflows, and even strategizing at executive levels.

Think of them as AI copilots, always-on digital assistants that collaborate, reason, and adapt with minimal supervision. Unlike static bots or rule-bound systems, AI agents evolve with every interaction.

They operate on a blend of core technologies:

Machine learning for pattern recognition

Natural language processing for human-like interaction

Generative AI for creative task execution

Adaptive AI frameworks that improve performance over time

The result? A dramatic leap in operational efficiency, decision-making accuracy, and organizational agility.

Use Cases: Where AI Agents Thrive

1. Workflow Automation

Instead of managing dozens of apps, AI agents integrate across platforms, email, CRMs, task boards, and more to streamline entire workflows. They automate reminders, prioritize tasks based on context, and ensure deadlines are never missed.

2. Intelligent Customer Support

An AI chatbot today is far more advanced than its early predecessors. AI agents can handle multi-turn conversations, detect customer sentiment, suggest resolutions, and escalate only when necessary. They save companies hundreds of hours while improving customer satisfaction.

3. Decision Support for Managers

AI agents aren’t just for grunt work; they help executives make faster, data-driven decisions. These agents analyze KPIs, detect anomalies, and offer actionable insights, becoming trusted advisors in the boardroom.

4. Sales and Marketing Optimization

AI agents can qualify leads, send follow-ups, personalize outreach, and even craft compelling content using generative AI. In fast-moving markets, this kind of real-time adaptability is a competitive edge.

AI-as-a-Service: The Model Behind the Momentum

One of the biggest shifts powering the AI agent boom is the AI-as-a-Service (AIaaS) model. Instead of building complex systems from scratch, businesses can now integrate pre-trained AI agents tailored for specific functions sales, HR, logistics, and more.

AIaaS democratizes access to intelligence. Small businesses can now tap into capabilities that were once reserved for Silicon Valley giants. And for large enterprises, it enables faster deployment and scalability.

Thanks to cloud infrastructure, edge computing, and containerized deployment, AI agents can now run across devices, teams, and geographies without friction.

Adaptive AI: Why Static Isn’t Enough Anymore

Legacy automation was static. Rules were hardcoded, decisions predictable, and environments inflexible.

But real-world conditions change daily.

That’s where adaptive AI comes in. These systems continuously learn from their environments and adjust their behaviors accordingly. Whether it’s responding to customer trends, optimizing logistics routes, or adjusting pricing strategies, adaptive AI ensures that your organization doesn’t just react but anticipates.

In the age of volatility, adaptability is productivity.

Human + AI: The Productivity Dream Team

AI agents are not replacements; they’re reinforcements. The best implementations combine human creativity with machine consistency.

Consider the example of AI copilots for developers. These agents can autocomplete code, suggest better logic structures, and even detect bugs, allowing engineers to focus on architectural thinking rather than syntax struggles.

Or take AI in creative teams. Generative AI tools help marketers brainstorm slogans, generate visual content, and craft campaign ideas at scale. The human touch remains central, but it's exponentially amplified. 

With the right blend, teams go from multitasking chaos to focused, high-impact output.

The Business Case: Why Companies Are Investing in AI Agents

Faster Decision-Making: With real-time insights, executives no longer wait for reports.

Cost Reduction: AI agents reduce overhead by automating repetitive and low-value tasks.

Talent Augmentation: Employees work smarter, not harder, increasing retention and satisfaction.

24/7 Availability: AI agents don’t sleep. They manage support tickets, monitor systems, and keep operations running around the clock.

Data-Driven Precision: From marketing to manufacturing, every action is informed by contextual analytics.

In today’s hypercompetitive markets, AI Agent Development is no longer an innovation; it's a necessity.

The Future: Personalized AI for Everyone

Soon, every professional will have their own AI agent personalized, proactive, and perfectly in sync with their workflow.

Developers will code faster with intelligent code assistants.

Sales reps will close more deals with AI-driven CRM copilots.

Executives will strategize with predictive agents by their side.

And behind the scenes? Robust, ethical, and scalable AI Agent Development pipelines will ensure these experiences are secure, seamless, and continually improving.

As regulatory frameworks evolve and privacy standards tighten, trust will become central. Ethical design, transparency, and explainability will define successful AI deployments.

Why Choose BlockchainAppsDeveloper for AI Agent Development?

In a crowded field of vendors, BlockchainAppsDeveloper stands apart for three key reasons:

1. Cross-Disciplinary Expertise

Combining AI, blockchain development company capabilities, and cloud infrastructure, BlockchainAppsDeveloper brings a holistic approach to AI Agent Development. This synergy ensures that agents are not only smart but also secure, transparent, and auditable.

2. Tailored AI Solutions

Every business is unique. Whether you need an AI chatbot for customer service, an AI copilot for operations, or a generative AI agent for marketing, BlockchainAppsDeveloper designs systems that align perfectly with your workflow and goals.

3. Scalable Infrastructure

Built on modular, API-first architectures, our AI agents grow with your business. From startups to Fortune 500s, we deliver performance without compromise, fueled by the latest in machine learning, adaptive AI, and cloud-native deployment.

When you hire AI talent from BlockchainAppsDeveloper, you’re not just getting code, you’re getting strategy, execution, and long-term innovation.

Conclusion: From Survival Mode to Superpowered

We’ve entered an era where productivity isn’t just about working faster, it’s about working smarter. AI agents don’t just automatethey transform. From taming the chaos of to-do lists to unlocking strategic foresight, these intelligent systems are changing the rules.

And the best part? You don’t need to be a tech giant to get started.

With the right AI Agent Development Associate, you can harness AI-as-a-Service, leverage generative AI, and deploy adaptive AI agents that fit your business like a glove.

It’s time to move from chaos to control. The AI future is already here; don’t get left behind.

[aiintegrationine-learning]

How Generative AI Can Boost Productivity in Enterprises and Industries

Generative AI is redefining productivity in modern enterprises and industries. From streamlining content creation and automating repetitive tasks to improving decision-making and product innovation, this blog explores practical ways businesses can harness AI for real-world impact. Learn how to stay competitive by integrating smart AI tools into your workflows.

🔗 Read more for further details: Xornor Technologies

[certivo]

AI-Powered Compliance Management Software for Regulatory Change | Certivo

Discover Certivo’s AI-powered compliance management software, designed to help B2B organizations in the USA, UK, and EU stay ahead of evolving regulations. Our solution simplifies regulatory compliance through real-time regulatory change management, certificate automation, and predictive risk analysis. Empower your compliance team with a scalable and intelligent platform that integrates seamlessly with your existing systems. Certivo’s AI-powered compliance solution reduces manual effort, improves accuracy, and ensures proactive regulatory response. Whether you're in healthcare, finance, or manufacturing, Certivo keeps your operations audit-ready and compliant. Try the future of compliance today—trusted by modern businesses to manage compliance smarter and faster.

[nagentai]

Stay ahead with the latest trends in AI agents. Learn how these autonomous tools are reshaping industries, from finance to healthcare.

Discover how AI agents are transforming industries with intelligent automation, boosting efficiency, and enabling smarter decision-making in 2025 and beyond.

[jcmarchi]

DevAI Raises $6M to Revolutionize Enterprise IT with Network Intelligence Agents

New Post has been published on https://thedigitalinsider.com/devai-raises-6m-to-revolutionize-enterprise-it-with-network-intelligence-agents/

DevAI Raises $6M to Revolutionize Enterprise IT with Network Intelligence Agents

In a major boost to enterprise IT, DevAI, a rising force in AI-powered IT solutions, has secured $6 million in an oversubscribed seed round led by Emergence Capital. The round also saw participation from Pear VC, Base10, and Benchstrength, following an earlier $1 million pre-seed investment from Pear VC.

DevAI is tackling a critical challenge in the $2.5 trillion IT software and services market: IT teams are bogged down by fragmented tools, unreliable system data, and an over-reliance on institutional knowledge. With enterprise IT professionals spending up to 80% of their time on KTLO (Keep the Lights On) activities—tasks essential to maintaining IT infrastructure but with minimal direct business impact—DevAI is stepping in with AI-driven solutions to optimize workflows and reduce downtime.

At the heart of DevAI’s offering is the DevAI Network Intelligence Engine, a system that aggregates insights from IT tools, industry best practices, and institutional expertise. The company’s first AI agent, Neo, is designed to streamline IT workflows, enhance security and compliance, and minimize time spent troubleshooting.

“IT professionals are the unsung heroes of modern enterprises, working around the clock to ensure IT systems stay online and networks are secure and performing their best,” says Susie Wee, cofounder and CEO of DevAI. “Our network AI agents give them the insights they need to proactively address issues and eliminate inefficiencies so they can focus on business priorities and innovation instead of constant firefighting.”

Wee, a former Cisco executive, is no stranger to transforming enterprise IT. She earned her Ph.D. from MIT and previously founded DevNet, Cisco’s developer program, which grew to over half a million members. She now brings that experience to DevAI, aiming to arm IT professionals with AI tools that capture institutional knowledge, enrich IT infrastructure data, and accelerate productivity.

Wee’s cofounder, Edwin Zhang, brings deep expertise in enterprise technology, cloud, and software platforms. He and Wee have collaborated for over a decade on award-winning enterprise solutions.

“Neo isn’t just another AI tool—it’s a tech buddy for IT professionals,” says Zhang. “Neo works alongside them, gathering information from across their systems, reducing the time they spend troubleshooting, and empowering them to solve complex problems faster.”

Addressing the Enterprise IT Knowledge Gap

Enterprise IT teams struggle with inconsistent “source of truth” systems, where different IT tools provide conflicting information on configurations, assets, and infrastructure. DevAI’s technology gathers and enriches data from multiple sources, creating an accurate and centralized repository of institutional knowledge. The solution enables IT teams to:

Reduce MTTI (Mean Time to Identify) and MTTR (Mean Time to Resolve) incidents, minimizing costly downtime.

Improve source of truth accuracy by consolidating and validating data from different IT tools.

Capture and retain institutional knowledge, preventing information loss when tenured IT professionals leave an organization.

Free up domain experts from repetitive tasks, allowing them to focus on strategic initiatives.

Investor Confidence in DevAI’s Market Potential

Emergence Capital’s backing signals confidence in DevAI’s ability to transform enterprise IT operations.

“We couldn’t be more excited to partner with Susie and the DevAI team to transform enterprise IT management, bringing much-needed automation and intelligence to an area ripe for innovation,” says Santi Subotovsky, General Partner at Emergence Capital. “When we talked to DevAI’s sophisticated enterprise customers and heard how DevAI aligns with their growing demand for smarter, AI-powered tools to reduce costs and enhance productivity, we were convinced DevAI was creating real value for enterprises.”

Mar Hershenson, founding managing partner at Pear VC, echoes this sentiment: “Susie founded DevNet and learned firsthand from the community the problem of managing complex enterprise networks. Using an agentic framework to optimize implementations and maintenance will allow these experts not only to spend time on more strategic matters but also increase network reliability.”

Real-World Impact: Partnering with Industry Leaders

Beyond investor support, DevAI is already working with major enterprises, including FedEx and Cigna, to refine its AI-driven solutions through real-world deployment.

Aryo Kresnadi, Technical Director at FedEx, emphasizes the importance of DevAI’s collaboration: “We need to architect our network to support our business today and for the next 5, 10, and 20 years. Working closely with DevAI has allowed us to design solutions for critical areas we have not been able to address to date.”

The Road Ahead: Scaling AI for Enterprise IT

With its fresh injection of capital, DevAI plans to expand its AI-powered agent solutions, onboard more enterprise partners, and enhance its platform’s capabilities. The company is building a thriving IT community, inviting enterprises to join as design partners to shape the next generation of AI-driven IT management.

[neturbizenterprises]

Transform Your Content Creation with Deep Brain AI!

The Universe of technology is constantly expanding, and one of its newest stars is artificial intelligence (AI).

In this video, we explore how AI content creation, particularly through Deep Brain AI, is revolutionizing the way we produce engaging material.

Unlike traditional AI that relies on pre-programmed rules, generative AI creates new content from existing data. Deep Brain AI empowers us to overcome challenges like writer's block by generating ideas for blog posts, articles, and social media updates.

With advanced natural language processing and customizable templates, it streamlines our creative process while ensuring a consistent brand voice across platforms.

#DeepBrainAI #ContentCreation

[3657aman]

New Post ‹ Site Title — WordPress.com

https://wordpress.com/post/amanandrabiaonline.wordpress.com?url=https%3A%2F%2Fwordpress.com%2Fgo%2Fcontent-blogging%2Fsetting-your-podcast-marketing-strategy-three-key-steps%2F%3Fpage_id%3D18003265&is_post_share=true&v=5 Aman and Rabia Enterprise can leverage various AI tools to enhance productivity and streamline their operations in the Ethiopian cultural clothes industry. One such tool is…

[tzifron]

I’ve been rereading the late anthropologist David Graeber’s Bullshit Jobs, which persuasively makes the case that the corporate world is happy to nurture inefficient or wasteful jobs if they somehow serve the managerial class or flatter elites—while encouraging the public to harbor animosity at those who do rewarding work or work that clearly benefits society. I think we can expect AI to accelerate this phenomenon, and to help generate echelons of new dubious jobs—prompt engineers, product marketers, etc—as it erodes conditions for artists and public servants.

A common refrain about modern AI is that it was supposed to automate the dull jobs so we could all be more creative, but instead, it’s being used to automate the creative jobs. That’s a pretty good articulation of what lies at the heart of the AI jobs crisis. Take the former Duolingo worker who was laid off as part of the company’s pivot to AI.

“So much will be lost,” the writer told me. “I was a content writer, I wrote the questions that learners see in the lessons. I enjoyed being able be creative. We were encouraged to make the exercises fun.” Now, consider what it’s being replace with, per the worker:

“First, the AI output is very boring. And Duolingo was always known for being fun and quirky. Second, it absolutely makes mistakes. Even on things that you would think it could get right. The AI tools that are available for people who pay for Duolingo Max often get things wrong—they have an ‘explain my mistake’ tool that often will suggest something that’s incorrect, sometimes the robot voices are programmed to speak the wrong language.”

This is just a snapshot, too. This is happening, to varying degrees, to artists, journalists, writers, designers, coders—and soon, perhaps already, as Thompson’s story points out, it could be happening to even more jobs and lines of work.

Now, it needs to be underlined once again that generative AI is not yet the one-size-fits-all agent of job replacement its salesmen would like it to be—far from it. A recent SalesForce survey reported on by the Information show that only one-fifth of enterprise AI buyers are seeing good results, and that 61% of respondents report a disappointing return on investment for AI or even none at all.

Generative AI is still best at select tasks that do not require consistent reliability—hence its purveyors taking aim at art and creative industries. But all that’s secondary. The rise of generative AI, linked as it is with the ascent to power of the American tech oligarchy, has given rise to a jobs crisis nonetheless.

We’re left at a crossroads where we must consider nothing less than what kind of jobs we want people to be able to do, what kind of work and which institutions we think are important as a society, and what we’re willing to do to protect them—before the logic of generative AI and the jobs crisis it has begotten guts them to the bone, or devours them altogether.