MIT Sloan School of Management ✓

@MITSloan · Cambridge, MA · joined 07 Sep 2007

Ideas made to matter.

305 443Followers

1 135Following

36 461Posts total

29.9KViews on collected posts

Postingan terbaru

MIT Sloan School of Management ✓@MITSloan13 Sep

Market research is essentially a prediction problem. According to MIT Sloan’s John Horton, organizations should consider using generative AI to simulate the effects of their decisions before they make them. https://t.co/IVLv1CKPze 3.7K views · 24 likes · 4 reposts · 2 replies Open on X →

MIT Sloan School of Management ✓@MITSloan13 Sep

Whether artificial intelligence makes jobs better, not just faster, depends on the choices employers make in deploying the technology. https://t.co/MVJZa6hTtO 3.3K views · 31 likes · 11 reposts · 3 replies Open on X →

MIT Sloan School of Management ✓@MITSloan12 Sep

“We predict that AI advisers will really take off in contexts where embarrassing situations are more prevalent and where the models are perceived as being equally or more capable than humans.” — Eric So, MIT Sloan professor https://t.co/sU29Y5bNR2 2.8K views · 10 likes · 1 reposts · 0 replies Open on X →

MIT Sloan School of Management ✓@MITSloan12 Sep

In companies’ rush to capitalize on artificial intelligence, ethics and governance considerations, which can help ensure that AI systems are safe and fair, often take a back seat. MIT Sloan's Jeffrey Saviano and his research team developed a framework to help organizations https:

3.7K views · 46 likes · 15 reposts · 1 replies Open on X →

MIT Sloan School of Management ✓@MITSloan11 Sep

At the MIT Initiative on the Digital Economy’s 2026 annual conference, MIT Sloan’s @amcafee argued that 20th-century business strategy doesn’t hold up in an economy dominated by AI and digital services. McAfee offered these three predictions for the future of technology-driven ht

3K views · 36 likes · 12 reposts · 4 replies Open on X →

MIT Sloan School of Management ✓@MITSloan4 Sep

A new MIT research initiative called Project NANDA is working to keep the agentic web open before corporate consolidation makes that impossible. https://t.co/No9fbTBnFQ 2.2K views · 22 likes · 7 reposts · 0 replies Open on X →

MIT Sloan School of Management ✓@MITSloan3 Sep

These new MIT Sloan faculty members are experts in workplace instability, microfinance, human-AI interaction, digital economics, and more. https://t.co/C6buCMOaCQ 2.1K views · 10 likes · 0 reposts · 0 replies Open on X →

MIT Sloan School of Management ✓@MITSloan3 Sep

Whether artificial intelligence makes jobs better, not just faster, depends on the choices employers make in deploying the technology. https://t.co/MVJZa6hTtO 2K views · 20 likes · 7 reposts · 1 replies Open on X →

MIT Sloan School of Management ✓@MITSloan3 Sep

@MITSloan Writing code is a task, shipping code is an operating system. AI boosts output, but without systems for review, QA, and handoffs, it doesn't ship. 17 views · 0 likes · 0 reposts · 0 replies Open on X →

MIT Sloan School of Management ✓@MITSloan3 Sep

A new paper co-authored by MIT Sloan associate professor Mert Demirer concluded that although AI tools substantially boost productivity when software developers write code, the effect is muted when it comes to shipping code. https://t.co/YtNIwoHwtz 4.9K views · 23 likes · 15 reposts · 2 replies Open on X →

MIT Sloan School of Management ✓@MITSloan2 Sep

“What our research shows is that people are more likely to turn to AI models to get professional advice when they’re embarrassed, because the model doesn’t judge them.” — Eric So, MIT Sloan professor https://t.co/sU29Y5bNR2 2.3K views · 10 likes · 2 reposts · 0 replies Open on X →

Dibandingkan akun berukuran sama

11 postingan dari 90 hari terakhir, dibandingkan dengan rentang 100K–1M pengikut. menjangkau lebih sedikit orang dibanding akun seukurannya.

Median tayangan2 777akun ini5 983median untuk 100K–1M

Jangkauan, %0.91%akun ini1.49%median untuk 100K–1M

Interaksi, %0.90%akun ini0.93%median untuk 100K–1M

Metrik	Akun ini	Median untuk 100K–1M	Rasio
Median tayangan per postingan	2 777	5 983	0.46×
Jangkauan (tayangan ÷ pengikut)	0.91%	1.49%	0.61×
Tingkat interaksi	0.90%	0.93%	0.96×

Akun lain pada rentang ini → Bandingkan dengan akun lain → Bagaimana tolok ukur ini disusun →

Growth & engagement

How the posts we collected actually performed: views and reaction rate post by post, what the audience did with them, and where the follower count goes.

Views per post

2.3K2 Sep

4.9K3 Sep

2.1K

2.2K4 Sep

3K11 Sep

3.7K12 Sep

2.8K

3.3K13 Sep

3.7K

Last 11 collected posts, oldest on the left. The scale is logarithmic: one post can outrun the rest a hundred times over.

Engagement rate per post

0.53%2 Sep

0.89%3 Sep

0.00%

1.43%

0.49%

1.37%4 Sep

1.73%11 Sep

1.69%12 Sep

0.40%

1.36%13 Sep

0.81%

Reactions — likes, reposts, replies and quotes — divided by views. Median for 100K–1M accounts is 0.93%.

What the audience does

Likes53.3%232 in total

Reposts17.0%74 in total

Replies3.0%13 in total

Quotes1.1%5 in total

Bookmarks25.5%111 in total

Share of every reaction we collected for this account. Replies mean argument, reposts mean endorsement, bookmarks mean the post was worth keeping.

The follower curve appears once this account has two daily snapshots — we take one a day, and this one is on its first.

Postingan terbaru

Dibandingkan akun berukuran sama

Growth & engagement

Views per post

Engagement rate per post

What the audience does

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