### Apache Airflow version

2.2.2

### What happened

Current time 16:54 UTC
Execution Schedule: * * * * *
Last Run: 16:19 UTC
DAG Paused
Catchup=False

`airflow dags next-execution sample_dag`
returns
```
[INFO] Please be reminded this DAG is PAUSED now.
2022-03-22T16:20:00+00:00
```

### What you think should happen instead

I would expect
```
[INFO] Please be reminded this DAG is PAUSED now.
2022-03-22T16:53:00+00:00
```
To be returned since when you unpause the DAG that is the next executed DAG

### How to reproduce

Create a simple sample dag with a schedule of * * * * * and pause with catchup=False and wait a few minutes, then run 
`airflow dags next-execution sample_dag`

### Operating System

Debian

### Versions of Apache Airflow Providers

Airflow 2.2.2

### Deployment

Astronomer

### Deployment details

_No response_

### Anything else

_No response_

### Are you willing to submit PR?

- [ ] Yes I am willing to submit a PR!

### Code of Conduct

- [X] I agree to follow this project's [Code of Conduct](https://github.com/apache/airflow/blob/main/CODE_OF_CONDUCT.md)

continue_on_failures=False,
            disable_retry=False,
        )
        mock_run.reset_mock()
        with contextlib.redirect_stdout(io.StringIO()) as stdout:
            dag_command.dag_backfill(
                self.parser.parse_args(
                    [
                        "dags",
                        "backfill",
                        "example_branch_(python_){0,1}operator(_decorator){0,1}",
                        "--task-regex",
                        "run_this_first",
                        "--dry-run",
                        "--treat-dag-as-regex",
                        "--start-date",
                        DEFAULT_DATE.isoformat(),
                    ]
                ),
            )
        output = stdout.getvalue()
        assert (
            f"Dry run of DAG example_branch_python_operator_decorator on "
            f"{DEFAULT_DATE.isoformat()}\n" in output
        )
        assert "Task run_this_first located in DAG example_branch_python_operator_decorator\n" in output
        assert f"Dry run of DAG example_branch_operator on {DEFAULT_DATE.isoformat()}\n" in output
        assert "Task run_this_first located in DAG example_branch_operator\n" in output
    @mock.patch("airflow.cli.commands.dag_command.get_dag")
    def test_backfill_fails_without_loading_dags(self, mock_get_dag):