Department of Management Sciences, Hazara University, Mansehra, Pakistan

08/09/2026

The One-Person Unicorn Is Still a Myth. What the 2026 Data Says About AI-Enabled Solo Founders

Solo founders now start more new companies than at any point on record, and a handful of AI-native businesses are generating more revenue per employee than anyone thought possible. Those are two real trends. Carta’s own 2026 data shows they have not merged into the thing the headlines describe: a solo-run, venture-scale, billion-dollar company. {{MEDIA_banner}} More people are starting companies alone than ever before, and a small number of AI-native businesses are posting revenue-per-employee numbers that would have been unbelievable five years ago....

Solo founders now start more new companies than at any point on record, and a handful of AI-native businesses are generating more revenue per employee than anyone thought possible. Those are two re…

06/09/2026

New on Working Intelligence: a 2026 study of 338 employees finds that algorithmic management doesn't just monitor work, it reshapes employee autonomy and fuels AI-replacement anxiety, with measurable effects on physical and mental health. Here is what the evidence says organizations should actually do about it.

A 2026 study of 338 employees finds that algorithmic management has a measurable negative effect on physical and mental health, travelling through two mediators: frustrated work autonomy and workpl…

05/09/2026

RTO Mandates Are Rising at Big Companies. Office Attendance Isn’t. What the 2026 Data Shows

{{MEDIA_banner}} Return-to-office mandates have gotten louder since 2024, and at the largest companies they are genuinely more common than they were two years ago. But the mandates have not produced the mass return their headlines imply. Required in-office days at tracked companies rose roughly 10 to 12 percent over the past year, according to Flex Index, while actual office attendance in the same population rose only 2 to 3 percent....

04/09/2026

Why 95% of AI Pilots Fail, and What the Other 5% Are Doing Right

{{MEDIA_banner}} Most organizations running generative AI pilots this year will not see a measurable return on them. That is not a guess: a 2025 MIT Project NANDA study tracking 300 public AI initiatives, 52 structured interviews, and a survey of 153 senior leaders found that 95 percent of enterprise generative AI pilots produced no measurable profit-and-loss impact, despite an estimated 30 to 40 billion dollars in enterprise investment....

03/09/2026

AI and Entry-Level Hiring: What the 2026 Data Shows, and Where It Disagrees

{{MEDIA_banner}} The honest answer to "is AI killing entry-level jobs" depends on which 2026 dataset is doing the measuring. Payroll records analyzed by Stanford's Digital Economy Lab show a real and widening employment gap for young workers in AI-exposed occupations. Job-posting data from the hiring platform Handshake, covering the same stretch of 2026, finds no clear pattern of steeper hiring slowdowns in those same occupations....

01/09/2026

The Middle Manager Squeeze: Why AI Adoption Is Overloading the People Meant to Lead It. New research shows middle managers are absorbing most of the strain of AI adoption, without proportional training or authority. Read the full analysis: https://asadshahjehan.wordpress.com/?p=634



https://asadshahjehan.wordpress.com/2026/09/01/the-middle-manager-squeeze-why-ai-adoption-is-overloading-the-people-meant-to-lead-it/?utm_source=facebook&utm_medium=jetpack_social

01/09/2026

Agentic AI vs. Generative AI at Work: What the 2026 Data Actually Shows

The terms are being used almost interchangeably in vendor pitches this year, but they describe two different things. Generative AI produces content when a person asks for it: a draft, a summary, an image, a block of code. Agentic AI goes further. It is designed to pursue a goal across multiple steps, call tools, check its own work, and act with limited human checking at each stage....

The terms are being used almost interchangeably in vendor pitches this year, but they describe two different things. Generative AI produces content when a person asks for it: a draft, a summary, an…

30/08/2026

Workslop, One Year Later: What Changed as AI-Generated Busywork Became Routine

AI at Work: New 2026 data shows the costly habit researchers named last year hasn't disappeared. It has been normalized. {{MEDIA_banner}} Workslop has not gone away since Stanford and BetterUp researchers coined the term last September. It has just stopped shocking anyone. New survey data from early 2026 shows the same core problem, AI-generated output that looks finished but requires substantial human rework, is now something roughly one in three employees have simply learned to live with, even as the hours lost to fixing it remain largely unchanged....

AI at Work: New 2026 data shows the costly habit researchers named last year hasn’t disappeared. It has been normalized. {{MEDIA_banner}} Workslop has not gone away since Stanford and BetterU…

29/08/2026

New on Working Intelligence: two-thirds of office professionals say they have used an AI tool at work they believed was not approved, and shadow AI now shows up in 43% of data breaches, up from 20% a year earlier. A look at what the 2026 survey and breach data show, and what actually closes the gap.

29/08/2026

Faculty AI use in higher education rose 16 points this year, but only 26% of institutions have a formal AI policy and just 31% of faculty feel meaningfully consulted on shaping it. Two independent 2026 surveys, read together on Working Intelligence.