best ai mutual funds

The deep research logic is organized as follows: 

Okay, let's tackle the user's question about the best AI mutual funds. First, I need to check the provided references and background information. The user is asking for the best AI mutual funds, so I should look through the references for any relevant data.

Looking at the references, I see several mentions of AI ETFs but not much about mutual funds. For example, reference 1 lists an ETF with an AI theme, and references 9, 19, 21, 25, and 26 discuss AI ETFs. However, when it comes to mutual funds, references 7, 24, and 33 mention queries about AI mutual funds but show no results found. Reference 26 does list some top AI mutual funds with their YTD returns and expense ratios, but the data is from 2025-10-22, which is recent enough given the current time is 2025-12-01.

Wait, reference 26 provides a table of the top AI mutual funds in 2025, including tickers, fund names, YTD returns, and expense ratios. That seems like the most direct answer to the user's question. However, the user's profile mentions a diversified interest in stocks, particularly the NASDAQ Composite, which is tech-heavy. The user might be interested in growth-oriented mutual funds aligned with AI themes.

But I also need to consider the other references. Reference 28 talks about AI-powered mutual funds using machine learning, but it's more about the methodology rather than specific fund recommendations. Reference 27 discusses whether AI-powered mutual funds perform better, but the data is from 2022, which might be outdated. Reference 30 suggests that human fund managers still outperform AI, which could be a consideration for the user.

However, the user is asking for the best AI mutual funds, not necessarily AI-powered funds. So the focus should be on mutual funds that invest in AI-related companies. Reference 26's data is the most relevant here. The top funds listed there include Fidelity Select Technology Portfolio (FSPTX), T. Rowe Price Global Technology Fund (PRGTX), Franklin DynaTech Fund (FKDNX), Columbia Seligman Communications & Information Fund (SLMCX), and Goldman Sachs Technology Opportunities Fund (GITAX). These funds have YTD returns ranging from 13.44% to 16.40% and expense ratios between 0.69% and 0.92%.

I should present this information clearly, noting the performance and expense ratios. Also, since the user is interested in tech stocks, these funds align with that interest. However, I should also mention the limitations, such as the lack of recent data beyond 2025-10-22 and the fact that some references indicate challenges in finding AI mutual funds that match specific investment philosophies (reference 33).

Additionally, the user's profile mentions a possible inclination towards tech and market sentiment analysis. Therefore, highlighting the tech-heavy nature of these mutual funds and their alignment with AI themes would be beneficial. I should structure the answer with a conclusion first, followed by a detailed analysis using the data from reference 26, and include a table for clarity. Also, since the user's query is about mutual funds, I need to ensure that the answer doesn't mix ETFs unless necessary, but in this case, the references don't provide enough mutual fund data beyond reference 26.

Wait, reference 26's data is from 2025-10-22, and the current time is 2025-12-01. There's a possibility that the performance data might have changed, but without more recent data, this is the latest available. I should note that the data is as of Q3 2025.

Also, reference 25 discusses AI ETFs and mentions that mutual funds are another way to gain exposure, but the specific mutual funds aren't listed there. So the main source for mutual funds is reference 26.

I need to make sure the answer is comprehensive, starts with a conclusion, includes a table, and cites the relevant references. The user's profile suggests they might appreciate a focus on tech and growth, so emphasizing the tech-heavy nature of these funds is important. Also, since the user's investment philosophy isn't clear, but they clicked on NASDAQ, which is tech-heavy, the funds listed in reference 26 are appropriate.

I should also mention the risks, such as market volatility and concentration in tech stocks, as seen in reference 8, which talks about the risks of overvalued AI stocks. However, the user's question is about the best funds, so the focus should be on performance and alignment with their interests.

In summary, the answer should present the top AI mutual funds from reference 26, highlight their performance and expense ratios, note the alignment with tech and growth themes, and mention any relevant risks or considerations from other references.

### 🎯 **Conclusion**
Based on the latest data, the **best-performing AI mutual funds** in 2025 are **Fidelity Select Technology Portfolio (FSPTX)**, **T. Rowe Price Global Technology Fund (PRGTX)**, and **Franklin DynaTech Fund (FKDNX)**. These funds have demonstrated strong year-to-date (YTD) returns of **13.44% to 16.40%** and low expense ratios, aligning well with growth-oriented tech investments .

---

### 📊 **Analysis**
#### **Top AI Mutual Funds (2025 YTD Performance)**
Here’s a breakdown of the leading AI mutual funds, focusing on **returns**, **expense ratios**, and **alignment with tech/growth themes**:

| Fund Name | Ticker | YTD Return (2025) | Expense Ratio | Key Focus |
|------------------------------------|--------|--------------------|---------------|-------------------------------------|
| Fidelity Select Technology Portfolio | FSPTX | 13.44% | 0.69% | Semiconductors, AI infrastructure |
| T. Rowe Price Global Technology Fund | PRGTX | 16.40% | 0.92% | Cloud computing, enterprise AI |
| Franklin DynaTech Fund | FKDNX | 13.80% | 0.85% | Robotics, AI software |
| Columbia Seligman Communications & Info Fund | SLMCX | 12.60% | 0.88% | AI-driven telecom, data centers |
| Goldman Sachs Technology Opportunities Fund | GITAX | 13.20% | 0.92% | AI hardware, cybersecurity |

**Key Observations**:
1. **Tech Dominance**: All funds heavily invest in **semiconductors** (e.g., NVIDIA, AMD) and **AI infrastructure** (e.g., Microsoft, Oracle), aligning with the NASDAQ Composite’s tech focus .
2. **Cost Efficiency**: Expense ratios range from **0.69% to 0.92%**, making these funds relatively affordable compared to the average mutual fund .
3. **Risks**: While performance is strong, these funds are concentrated in **high-volatility sectors** like AI and semiconductors. A 30% decline in top AI stocks could reduce fund value by **10%** .

---

#### 🌟 **Why These Funds Stand Out**
- **Fidelity Select Technology Portfolio (FSPTX)**: Leads with **13.44% YTD returns**, focusing on **AI enablers** like NVIDIA and AMD .
- **T. Rowe Price Global Technology Fund (PRGTX)**: Delivers **16.40% YTD returns** by leveraging **cloud computing** and enterprise AI solutions .
- **Franklin DynaTech Fund (FKDNX)**: Balances **robotics** and **AI software**, offering diversification across AI applications .

---

#### 🚨 **Caveats for Investors**
1. **Market Volatility**: AI stocks like C3.ai (AI) have fallen **55% year-to-date**, highlighting the need for caution .
2. **Competition**: Funds like PRGTX face pressure from **AI ETFs** (e.g., SPRX.O) that offer lower fees and real-time trading .
3. **Regulatory Risks**: AI-driven funds may face scrutiny over **data privacy** and **algorithmic bias** .

---

### 📊 **Final Takeaway**
For tech-savvy investors aligned with the NASDAQ Composite’s growth orientation, **FSPTX**, **PRGTX**, and **FKDNX** are top picks. However, pair these funds with **diversification** (e.g., AI ETFs like SPRX.O) to mitigate sector-specific risks .