#ai-automation

#ai-automation

We are seeing a structural shift toward bundled deals. Both agreements include bundled mortgage and closing products, which the company said are incrementally accretive to unit economics. Our overall pipeline remains robust, up approximately 40% year over year.

After streamlining our development and delivery process, we'll ship a new Stable release every week. Endgame will now be folded into our weekly activities. This acceleration is enabled by AI automation, including a one-click experience for creating test plans from feature request issues, reducing manual steps previously required.

If you sell the tool, you're in a race against the model. But if you sell the work, every improvement in the model makes your service faster, cheaper, and harder to compete with. A company might spend $10K a year for QuickBooks and $120K on an accountant to close the books. The next legendary company will just close the books.

Our AI journey began with SoftPro because we are currently assisting a significant number of clients of all sizes in transitioning from legacy TPS platforms to SoftPro. These clients have already benefited from our RezeCore TPS data migration suite to search, migrate and retain their historical TPS data. Building on that success, it was a natural next step to continue supporting them by providing this advanced and intelligent AI solution.

When we were selling enterprise software, we had to go through procurement ourselves and saw how manual and fragmented the process still is. Even with modern eProcurement software, most of the real work is still done manually. Companies are left to build large internal teams or outsource this work, resulting in a slow, expensive process.

It's pretty unlikely a five year old today will be looking for a job. The need to work will go away. People will still work on the things they want to work on, not because they need to work.

In an age where we are all drowning in electronic communication, handwritten notes really stand out. The company's website brags that its robo-scrawl is virtually indistinguishable from human writing, produced with unmatched speed, quality, and realism through a large language model that generates content and a proprietary robot that inks it onto stationary.

An AI agent is simply a model that receives input, follows defined goals and rules, makes step-by-step decisions, and uses tools to take actions. Instead of viewing AI agents as autonomous digital workers, break it down. First principles thinking says this definition captures the essence of how AI agents function and operate within business workflows.

Dwelly operates an AI-enabled roll-up model, acquiring independent agencies and integrating them onto its technology platform. The UK residential rental market generates more than £100bn in annual rent roll and around £10bn in commissions, yet remains highly fragmented, with roughly 20,000 firms operating nationwide. The top 100 account for less than 30 per cent of the country's 5.5 million rental properties.

Our forward-deployed HR execs do all the work manually at first, and then they use that work to train the AI how to think in best practices. The idea, of course, is that over time, Comp's AI agents will become fully autonomous and capable of performing traditional HR functions.

The end user types in the information that needs to go into a contract via Box Doc Gen, which is then sent over to Legal for approval. Once approved, the contract is sent out automatically and signed using Box Sign. The signed contract is then uploaded to the cloud. Given that RWS Global has contracts with thousands of performers, the automation of the contract approval workflow saves many hours in terms of manual processing.

Job vacancies in Britain have fallen to their lowest level in five years, with graduate recruitment bearing the brunt as employers contend with higher payroll costs and the rapid adoption of artificial intelligence. Data from Adzuna show that advertised vacancies dropped to 694,940 in January, down 16 per cent year-on-year and 3 per cent compared with December. It is the first time since January 2021 that the number of vacancies has dipped below 700,000.

When I took my side hustle full-time, I needed a website and accidentally fell into the world of building with AI. After trying an old website builder and failing, I hired a designer and an engineer part-time to do it. They were a bit slow, so while I was waiting, I tried using a suggested AI tool to build my website.

Harrity & Harrity is looking for experienced patent attorneys and agents who want a smarter way to practice law. Our practice is built around streamlined workflows, custom AI and automation tools, and a data-driven approach that keeps the focus where it belongs: on quality, strategy, and client service-not busywork or billable-hour math. You'll work on high-value patent portfolios for top-tier technology companies while enjoying true flexibility, strong support, and meaningful autonomy.

In an effort to transform this portfolio, the agency is launching a challenge to gather ideas from industry on how to move these old systems to cloud-native architectures and reduce its technical debt. According to a Tuesday notice on Sam.gov, the agency is forgoing a traditional acquisition in favor of a challenge-based approach. The multi-phase competition will allow the FAA to watch vendors perform, not just pitch.

GitHub is readying a new feature to automate some of the most expensive work in DevOps: the invisible housekeeping no one wants to own. Developers would rather be building features than debugging flaky continuous integration (CI) pipelines, triaging low-quality issues, updating outdated documentation, or closing persistent gaps in test coverage. In order to help developers and enterprises manage the operational drag of maintaining repositories, GitHub is previewing Agentic Workflows, a new feature that uses AI to automate most routine tasks associated with repository hygiene.

White-collar workers are getting nervous, with good reason. Sure, 98 percent of college graduates who want a job still have one, and wages are ticking up. Sure, some companies that cite the labor-saving, efficiency-promoting effects of ChatGPT and Claude as they let employees go are just "AI washing" -talking about algorithms to distract from poor managerial decisions. But the labor market for office workers is beginning to shift.

Security, IT, and engineering teams today are under relentless pressure to accelerate outcomes, cut operational drag, and unlock the full potential of AI and automation. But simply investing in tools isn't enough. 88% of AI proofs-of-concept never make it to production, even though 70% of workers cite freeing time for high-value work as the primary AI automation motivation. Real impact comes from intelligent workflows that combine automation, AI-driven decisioning, and human ingenuity into seamless processes that work across teams and systems.

If artificial intelligence eliminates millions of jobs, it might make sense to scrap income taxes for the vast majority of Americans and target capital instead, Vinod Khosla says. "AI will transform economies and need a rethink of capitalism & equity," the billionaire venture capitalist wrote in an X post on Monday. "Labor portion of economy (vs capital) will decline sharply. Should we eliminate preferential treatment of capital gains tax and equalize to ordinary income?"

Many organizations, Gans suggests, resemble public airports - full of people waiting for phones to ring, managing buffers, absorbing uncertainty.

AI Influencer Matt Shumer penned a viral blog on X about AI's potential to disrupt, and ultimately automate, almost all knowledge work that has racked up more than 55 million views in the past 24 hours.Shumer's 5,000-word essay certainly hit a nerve. Written in a breathless tone, the blog is constructed as a warning to friends and family about how their jobs are about to be radically upended. ( Fortune also ran an adapted version of Shumer's post as a commentary piece.)

There's a palpable tension in IT today. Teams are stretched to their limits with a growing backlog of initiatives, while executives expect IT to lead the charge on transforming an organization into an AI-driven one. And the numbers paint a somber picture. IT teams are drowning in work as digital transformation projects have not slowed down but rather accelerated. In fact, IT project requests in 2025 jumped 18% compared to the year prior,

If 2025 taught us anything, it's that AI is no longer just a side tool. It's the engine running campaigns and reshaping how people discover brands. At the same time, platforms have declared war on the "click." We're seeing an aggressive push for native conversions, where the goal isn't to drive traffic to the website but to close the deal right in the feed.

A small group of prominent tech companies had been handing money to each other for some time. The best summary was visual: Bloomberg clearly showed the circular flow of finances between Nvidia, AMD, Oracle, OpenAI, CoreWeave, and others. In the case of the Nvidia-OpenAI deal, the $100 billion investment would benefit new AI infrastructure, mostly filled with Nvidia hardware, which in turn would be paid for with that investment money.

For decades, tech companies have relied immensely on India's vast workforce, from entry-level call center jobs to software engineers and high-ranking managerial positions. But with the advent of advanced AI, which has been accompanied by employers greatly cutting back on hiring with the hopes of eventually automating tasks entirely, India's tech workers are having to cope with a vastly different reality in 2026.

A report by J.P. Morgan estimates that corporations can save billions of dollars a year by employing fewer people through automation. And, in fact, a 2025 study out of Stanford University has found that AI is already "beginning to have a significant and disproportionate impact on entry-level workers in the American labor market," with workers between the ages of 22 and 25 in the most AI-exposed occupations experiencing a 13 percent decline in employment.