Why Performance Reviews Still Feels Pointless

Inside: 🎯 “Someday” Talent Is Your Secret Weapon

Hello HR Pros,

The workplace is shifting—fast. From AI copilots to culture-driven performance, today’s talent landscape isn’t just evolving, it’s being redefined. In this issue, we unpack the tools, trends, and truths shaping the future of HR. Whether it’s Microsoft’s vision of “agent bosses” or Bill Gates’ AI survival guide, one thing’s clear: strategic HR leaders are no longer just managing people—they’re orchestrating systems of humans and machines.

Let’s dive in and decode what’s next.

📰 Upcoming in This Issue

  • 🤖 The Rise of the Agent Boss

  • 🌀 Why Your Performance Review Still Feels Pointless

  • 🤖 The 3 Jobs AI Still Can’t Take

  • 🎯 “Someday” Talent Is Your Secret Weapon

  • Tech layoffs continues: Google, Microsoft, Meta and others slash jobs (MSN)

  • IRS Tax Deadline Extended in 9 States: Here's Why (Newsweek)

  • Minimum wage for federal contractors cut down from $15 in 2025 (The HR Digest)

  • Oracle settles decade-long lawsuit over commission wages for $15.5M (Yahoo)

Microsoft’s article “AI at Work: How Human-Agent Teams Will Reshape Your Workforce” reveals a seismic shift in how we’ll work—where every employee becomes an “agent boss” managing digital teammates.

AI isn’t replacing humans; it’s amplifying them, unlocking scale without adding headcount.
The future of productivity? It’s humans + agents, strategically paired to tackle work faster, smarter, and more creatively.

Key Takeaways

  • 🔍 AI-matched individuals outperformed human-only teams — In a P&G study, solo workers using AI out-innovated traditional groups across product development tasks.

  • 🧠 Agents neutralized team bias — With AI support, technical and commercial professionals created well-rounded solutions, regardless of their original expertise.

  • 🛠️ Agent-led workflows are emerging — Some employees now manage multiple AI agents daily, including for live research, analysis, and writing detailed briefs.

  • 📊 The “human-agent ratio” is the next KPI — Leaders must now optimize digital vs. human labor to avoid burnout and maximize team efficiency.

Deloitte’s article “Reinventing performance management processes won’t unlock human performance. Here’s what will” makes one thing crystal clear: we’ve been trying to fix the wrong thing.

Despite decades of tweaks and overhauls, only 2% of CHROs believe their performance systems actually work.
Worse? 72% of workers don’t trust them at all.
This piece argues that no process—no matter how modern—can singlehandedly unlock performance.
To truly elevate outcomes, organizations must embed performance into culture, tools, space, and daily human connection.

Key Takeaways

  • 📊 Only 6% of orgs use data well — Just a sliver of companies both capture performance value and build trust with employees through data.

  • 🧠 64% of workers say reviews are useless — The majority feel performance management is a time-wasting ritual that does nothing to boost their work.

  • 🗣️ Only 26% of managers enable great performance — Most managers struggle to give clear, useful feedback, often spending just 13% of their time on developing people.

  • 🧩 One bad teammate can tank a whole team — A study showed a single negative member cut team performance by 30–40%, regardless of overall skill or intelligence.

In the article “Bill Gates predicts only three jobs will survive the AI takeover”, the tech titan doesn’t sugarcoat it: the AI revolution is real—and it’s ruthless.

Bill Gates says most roles are at risk, but three jobs may be safe (for now): coders, energy experts, and biologists.
Each thrives on complexity, creativity, and critical thinking—skills AI still fumbles with.
But even Gates admits the clock is ticking. The decade ahead could bring AI so advanced, it won’t just assist us—it might outthink us.
His message? If you’re not in one of these three fields, now’s the time to adapt.

Key Takeaways

  • 💻 Coders remain essential to build AI itself — While AI can generate code, it still can’t debug or architect software like experienced human programmers can.

  • ⚡ Energy experts defy automation — Humans still lead in crisis response, regulation, and strategy—tasks too dynamic and nuanced for AI.

  • 🧬 Biologists rely on intuition AI lacks — From hypothesis-making to life-saving breakthroughs, biology still needs human creativity and critical insight.

  • 📉 Only 10 years before AI could out-skill us — Gates warns that by 2035, even complex jobs could be done better—and faster—by AI.

In his article “Why You Should Have A ‘Someday I Might Want To Work There’ Talent Pipeline,” Dr. John Sullivan flips the script on traditional recruiting.

He argues that your best future hires aren’t job hunting right now—but they are quietly admiring your company.
The solution? Create a “Someday Group”—a loyalty-style pipeline where fans of your brand get to learn, engage, and slowly trust your culture.
This isn’t a fast funnel; it’s a slow burn that builds credibility, avoids “panic sourcing,” and gives you a pre-vetted pool of high-value, passive talent.

Key Takeaways

  • 📈 Only 6% of orgs use data to boost trust — Dr. Sullivan stresses that SG messages feel authentic, bypassing legal-polished corporate speak to win genuine candidate confidence.

  • 💬 Recruiting trust takes time—months, not days — High-value talent often needs 6+ months of relationship-building before they’ll even agree to interview.

  • 🧠 SG members are future-focused top performers — People thinking about “someday” are planners, not drifters—they’re exactly who you want in your talent pipeline.

  • 🤝 Avoids “panic sourcing” during urgent hires — With a warm bench of interested, educated prospects, rushed, underqualified hires become a thing of the past.

read the full 2,086-word article here

The bottomline

As we stare down seismic shifts in performance, productivity, and AI integration, one truth remains: the heart of every workplace is still human. Whether you’re reimagining your talent pipeline or reengineering your org design, the leaders who win will be those who think long-term, lead with empathy, and never stop learning.

Until next time,
Stay curious. Stay human.

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