Harold Sinnott 🦋

At #MWC26, autonomy in telecom is being reframed.

Not as a collection of automation tools, but as a control philosophy for modern networks, aligning intent, AI, and architecture.

Insights from Ericsson’s presence at MWC.

www.linkedin.com/posts/harol...

#AI @MWCHub @GSMA @Ericsson

Can large language models figure out the real world? A new approach assesses how deeply predictive AI systems understand their subject matter, and whether they can apply knowledge from one domain to a slightly different one.

Can large language models figure out the real world?

How deeply predictive AI systems understand their subject matter?

news.mit.edu/2025/can-large-...

#MWC26 #AI @mitsmr

What AI Can Teach Us About Designing Better KPIs How to avoid Goodhart’s Law, or gaming behavior, in organizations, using methods adapted from AI training techniques.

How machine learning reframes KPI design: systems optimize relentlessly.

So the real leadership question isn’t “Are we tracking performance?”

It’s “Are we tracking the right signals?”

sloanreview.mit.edu/article/...

via @mitsmr #AI #MWC26

How could you use no-code AI to boost your projects?

Top 10 Machine Learning Trends to Watch in 2025

graphite-note.com/machine-le...

#AI #MachineLearning #IoT #WMC26 #5G

#AI is leaving the data center for robots, sensors, drones, and #XR.

🥽 It needs open, programmable #5G now and AI-native #6G next. 5G SA brings slicing, automation, and open APIs.

🔗 Read more on Börje Ekholm’s blog: m.eric.sn/QlCS50XXRZV
via @ericsson #MWC26

AI applications have the capacity to revolutionise the way we produce & consume energy

Today AI is helping power utilities optimise operations like equipment maintenance & replacements, as well improving fault prevention & detection

More 👉 iea.li/4o2BvBB

@IEA #AI #IoT #5G #MWC26

Why AI Adoption Stalls, According to Industry Data Many companies report widespread AI usage but disappointing returns, assuming the problem lies in execution rather than adoption. New research shows that AI initiatives often stall because employees’ industry-shaped anxiety about relevance, identity, and job security drives surface-level use without real commitment. Leaders who treat AI adoption as a psychological and contextual challenge—not just a technical rollout—are far more likely to convert experimentation into sustained impact.

Why do so many organizations report AI adoption, yet see limited returns?

Fear of becoming less relevant, or even replaced, leads employees to “use” AI without truly embracing it.

Treat AI as a human transformation, not just a tech rollout.

hbr.org/2026/02/why-ai-adopt...

#AI #MWC26

NVIDIA releases open-source robot world model trained on 44,000 hours of human video

www.perplexity.ai/page/nvidi...

@NVIDIA #AI #MWC26

$20K in Stolen Games, a $5M Crypto Blunder,

and a Very Bad Week for Internet Security

www.pcmag.com/news/20k-in-st...

@PCMag #AI #Cybersecurity

Quantum's big leap puts data centers in the spotlight Quantum is advancing rapidly, sparking discussions about how the powerful computers will integrate with industries like the already booming data center sector.

Quantum's big leap puts data centers in the spotlight

www.cnbc.com/2026/02/19/quan...

#AI #MWC26

Harold Sinnott and Rahul Kumar stand together at the IBM booth during Mobile World Congress 2026 in Barcelona, smiling in front of the IBM Quantum System Two display. Both wear MWC badges as the quantum computing hardware and IBM branding appear behind them inside the busy exhibition stand.

Telecom networks are evolving into AI-driven systems capable of sensing, learning, and adapting.

That was one of my biggest takeaways from @IBM’s telco discussions at #MWC26

Why autonomy is becoming operational intelligence.

➡️ www.linkedin.com/posts/harol...

#AI @MWCHub @GSMA @IBM

Futuristic illustration titled “Autonomous Networks at MWC26: When AI Becomes Operational Intelligence” showing an IBM Quantum System Two computer in a high-tech control room overlooking Barcelona. A glowing AI brain graphic represents algorithms, learning, and intent-based operations feeding closed-loop automation, while professionals review a digital dashboard displaying autonomous network capabilities such as self-healing, zero-touch operations, and AI insights.

A key takeaway from conversations at the @IBM booth during #MWC26:

Autonomous networks will emerge not only through automation, but through AI-driven observability, hybrid cloud platforms, and operational intelligence.

My reflections.

www.linkedin.com/posts/harol...

#AI @MWCHub @GSMA

Two men take a selfie inside the Ericsson pavilion at Mobile World Congress 2026 in Barcelona. Harold Sinnott and Mattias Lindvall stand in the foreground smiling, with Ericsson branding visible above a circular display structure showcasing illuminated cubes with images. Behind them, attendees gather around demonstration stations and interactive screens inside the busy exhibition space.

One of the key shifts I observed at #MWC26:

The telecom industry is moving from asking
“Can we automate networks?”
to asking
“How does autonomy drive measurable value?”

Reflections from the @Ericsson pavilion.

www.linkedin.com/posts/harol...

#AI @MWCHub @GSMA @Ericsson

At #MWC26, autonomy in telecom is being reframed.

Not as a collection of automation tools, but as a control philosophy for modern networks, aligning intent, AI, and architecture.

Insights from Ericsson’s presence at MWC.

www.linkedin.com/posts/harol...

#AI @MWCHub @GSMA @Ericsson

eRedCap 5G IoT Modem Trend

#AI #MWC26 @trendhunter

www.trendhunter.com/trends/A...

What AI Can Teach Us About Designing Better KPIs How to avoid Goodhart’s Law, or gaming behavior, in organizations, using methods adapted from AI training techniques.

How machine learning reframes KPI design: systems optimize relentlessly.

So the real leadership question isn’t “Are we tracking performance?”

It’s “Are we tracking the right signals?”

sloanreview.mit.edu/article/...

via @mitsmr #AI #MWC26

How to Create a Superintelligent Agent? Let’s face it—artificial intelligence remains a misunderstood subject. Across the consumer, business, and industry sectors, many people are still unsure about its role, purpose, and capabilities. Questions persist: Will AI take our jobs? Could society one day be dominated by autonomous machines? Might we even confront debates about “robot rights”? While such concerns make for compelling headlines, the reality is rather less dramatic. True superintelligent humanoids remain firmly in the realm of

How to Create a Superintelligent Agent?

Today’s AI systems, however impressive, are still the result of clever programming and smart technology.

www.deananthonygratton.com/p...

by @grattonboy #AI #MWC26 @grattongirl

How could you use no-code AI to boost your projects?

Top 10 Machine Learning Trends to Watch in 2025

graphite-note.com/machine-le...

#AI #MachineLearning #IoT #WMC26 #5G

Can large language models figure out the real world? A new approach assesses how deeply predictive AI systems understand their subject matter, and whether they can apply knowledge from one domain to a slightly different one.

Can large language models figure out the real world?

How deeply predictive AI systems understand their subject matter?

news.mit.edu/2025/can-large-...

#MachineLearning #MIT #MWC26 #AI #IoT #5G @mitsmr

#AI is leaving the data center for robots, sensors, drones, and #XR.

🥽 It needs open, programmable #5G now and AI-native #6G next. 5G SA brings slicing, automation, and open APIs.

🔗 Read more on Börje Ekholm’s blog: m.eric.sn/QlCS50XXRZV
via @ericsson #MWC26 @EricssonSoftw

AI applications have the capacity to revolutionise the way we produce & consume energy

Today AI is helping power utilities optimise operations like equipment maintenance & replacements, as well improving fault prevention & detection

More 👉 iea.li/4o2BvBB

@IEA #AI #IoT #5G #MWC26

Why AI Adoption Stalls, According to Industry Data Many companies report widespread AI usage but disappointing returns, assuming the problem lies in execution rather than adoption. New research shows that AI initiatives often stall because employees’ industry-shaped anxiety about relevance, identity, and job security drives surface-level use without real commitment. Leaders who treat AI adoption as a psychological and contextual challenge—not just a technical rollout—are far more likely to convert experimentation into sustained impact.

Why do so many organizations report AI adoption, yet see limited returns?

Fear of becoming less relevant, or even replaced, leads employees to “use” AI without truly embracing it.

Treat AI as a human transformation, not just a tech rollout.

hbr.org/2026/02/why-ai-adopt...

#AI #MWC26

The future of work isn’t Human vs. Machine.

We’re moving toward a "tripartite" workforce:

People + Agents + Robots

Despite AI’s ability to automate 57% of tasks, the human element remains the competitive edge.

See why: mck.co/aiskills


@McKinsey_MGI #AI #MWC26 #IoT #5G #FutureOfWork

Top AI themes shaping 2026 gadgets & workflows -

AI embedded in devices signals widespread adoption.

#AI #CES2026 #MWC26 #IoT

www.reuters.com/technology/a...

AI Trends in 2026: Key Insights for Leaders AI experts Thomas H. Davenport and Randy Bean see five artificial intelligence and data science trends emerging in the year ahead. In this video, they share ...

AI Trends 2026 Key Insights for Leaders (YouTube) — Visual breakdown of future AI & enterprise priorities.

#AI #CES2026 #MWC26 #IoT

www.youtube.com/watch?v=wjL7...

Tech Trends: Why AI Is a Top Management Priority for State and Local Agencies in 2026 Governments shift artificial intelligence from pilots to operations, using agents, copilots, and governance to drive efficiency and trust.

Government AI moves from pilots to ops

State and local agencies embed AI for efficiency and trusted services.

#AI #CES2026 #MWC26 #IoT
statetechmagazine.com/articl...

CES 2026: AI Infra, Edge & Connectivity What to Watch

AI + connectivity are the backbone for next‑gen services.

#AI #CES2026 #MWC26 #IoT #Robotics

iotmktg.com/ces-2026-ai-infr...

The trends that will shape AI and tech in 2026 | IBM Reporter Anabelle Nicoud spoke to several experts across AI, security, quantum and beyond to better understand where tech will take us in 2026.

AI & tech trends that will shape 2026 — Systems, agent orchestration and multi‑modal AI dominate strategic plans.

#AI #CES2026 #MWC26 #IoT @IBM @IBMNews

www.ibm.com/think/news/ai-te...

AI trends to watch in 2026: Organizational Intelligence — AI integration + governance shaping enterprise roadmaps.

#AI #CES2026 #MWC26 #IoT

www.comptia.org/en-us/blog/a...

The Agentic Enterprise in 2026 - Mayfield Agentic AI moved into production faster than most enterprise technology shifts we’ve seen in the last decade. 

Agentic enterprise adoption accelerates

Autonomous AI agents embed into workflows beyond pilots.

#AI #CES2026 #MWC26 #IoT

www.mayfield.com/the-agentic...